DavidAU commited on
Commit
02cda89
·
verified ·
1 Parent(s): df55e10

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ backup/tokenizer.json filter=lfs diff=lfs merge=lfs -text
37
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,60 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: []
3
+ library_name: transformers
4
+ tags:
5
+ - mergekit
6
+ - merge
7
+
8
+ ---
9
+ # Qwen3.5-vl-9B-DeepSeek-Polaris-13B
10
+
11
+ This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
12
+
13
+ ## Merge Details
14
+ ### Merge Method
15
+
16
+ This model was merged using the Passthrough merge method.
17
+
18
+ ### Models Merged
19
+
20
+ The following models were included in the merge:
21
+ * x:/9B-Qwen3.5-R64-it-vl-Polaris1000x-1x16-cp-155
22
+ * x:/9B-Qwen3.5-R32-it-vl-Deepseek-4x-8000x-1x16-cp-1160
23
+
24
+ ### Configuration
25
+
26
+ The following YAML configuration was used to produce this model:
27
+
28
+ ```yaml
29
+ modules:
30
+
31
+ vision_tower:
32
+ models:
33
+ - model: x:/9B-Qwen3.5-R32-it-vl-Deepseek-4x-8000x-1x16-cp-1160
34
+
35
+ multi_modal_projector:
36
+ models:
37
+ - model: x:/9B-Qwen3.5-R32-it-vl-Deepseek-4x-8000x-1x16-cp-1160
38
+
39
+ text_decoder:
40
+ slices:
41
+ - sources:
42
+ - model: x:/9B-Qwen3.5-R32-it-vl-Deepseek-4x-8000x-1x16-cp-1160
43
+ layer_range: [0,12]
44
+
45
+ - sources:
46
+ - model: x:/9B-Qwen3.5-R64-it-vl-Polaris1000x-1x16-cp-155
47
+ layer_range: [8,20]
48
+
49
+ - sources:
50
+ - model: x:/9B-Qwen3.5-R32-it-vl-Deepseek-4x-8000x-1x16-cp-1160
51
+ layer_range: [12,24]
52
+
53
+ - sources:
54
+ - model: x:/9B-Qwen3.5-R64-it-vl-Polaris1000x-1x16-cp-155
55
+ layer_range: [20,32]
56
+
57
+ merge_method: passthrough
58
+ dtype: bfloat16
59
+
60
+ ```
backup/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:87a7830d63fcf43bf241c3c5242e96e62dd3fdc29224ca26fed8ea333db72de4
3
+ size 19989343
backup/tokenizer_config.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "audio_bos_token": "<|audio_start|>",
4
+ "audio_eos_token": "<|audio_end|>",
5
+ "audio_token": "<|audio_pad|>",
6
+ "backend": "tokenizers",
7
+ "bos_token": null,
8
+ "clean_up_tokenization_spaces": false,
9
+ "eos_token": "<|im_end|>",
10
+ "errors": "replace",
11
+ "image_token": "<|image_pad|>",
12
+ "is_local": true,
13
+ "model_max_length": 262144,
14
+ "model_specific_special_tokens": {
15
+ "audio_bos_token": "<|audio_start|>",
16
+ "audio_eos_token": "<|audio_end|>",
17
+ "audio_token": "<|audio_pad|>",
18
+ "image_token": "<|image_pad|>",
19
+ "video_token": "<|video_pad|>",
20
+ "vision_bos_token": "<|vision_start|>",
21
+ "vision_eos_token": "<|vision_end|>"
22
+ },
23
+ "pad_token": "<|endoftext|>",
24
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
25
+ "processor_class": "Qwen3VLProcessor",
26
+ "split_special_tokens": false,
27
+ "tokenizer_class": "TokenizersBackend",
28
+ "unk_token": null,
29
+ "video_token": "<|video_pad|>",
30
+ "vision_bos_token": "<|vision_start|>",
31
+ "vision_eos_token": "<|vision_end|>"
32
+ }
chat_template-gemini-macro-tools-think-instruct.jinja ADDED
@@ -0,0 +1,163 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {# Define the macros for XML conversion #}
2
+ {%- macro render_item_list(item_list, tag_name='required') -%}
3
+ {%- if item_list is defined and item_list is iterable and item_list | length > 0 -%}
4
+ <{{ tag_name }}>[{{- item_list | join(", ") -}}]</{{ tag_name }}>
5
+ {%- endif -%}
6
+ {%- endmacro -%}
7
+
8
+ {%- macro render_extra_keys(json_dict, handled_keys) -%}
9
+ {%- if json_dict is mapping -%}
10
+ {%- for json_key in json_dict if json_key not in handled_keys -%}
11
+ <{{ json_key }}>{{ json_dict[json_key] }}</{{ json_key }}>
12
+ {%- endfor -%}
13
+ {%- endif -%}
14
+ {%- endmacro -%}
15
+
16
+
17
+ {%- set image_count = namespace(value=0) %}
18
+ {%- set video_count = namespace(value=0) %}
19
+ {%- set add_vision_id = add_vision_id if add_vision_id is defined else true %}
20
+
21
+ {# Set Instruct mode here #}
22
+
23
+ {%- macro render_content(content, do_vision_count, is_system_content=false) %}
24
+ {%- if content is string %}
25
+ {{- content }}
26
+ {%- elif content is iterable and content is not mapping %}
27
+ {%- for item in content %}
28
+ {%- if 'image' in item or 'image_url' in item or (item is mapping and item.get('type') == 'image') %}
29
+ {%- if is_system_content %}
30
+ {{- raise_exception('System message cannot contain images.') }}
31
+ {%- endif %}
32
+ {%- if do_vision_count %}
33
+ {%- set image_count.value = image_count.value + 1 %}
34
+ {%- endif %}
35
+ {%- if add_vision_id %}
36
+ {{- 'Picture ' ~ image_count.value ~ ': ' }}
37
+ {%- endif %}
38
+ {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
39
+ {%- elif 'video' in item or (item is mapping and item.get('type') == 'video') %}
40
+ {%- if is_system_content %}
41
+ {{- raise_exception('System message cannot contain videos.') }}
42
+ {%- endif %}
43
+ {%- if do_vision_count %}
44
+ {%- set video_count.value = video_count.value + 1 %}
45
+ {%- endif %}
46
+ {%- if add_vision_id %}
47
+ {{- 'Video ' ~ video_count.value ~ ': ' }}
48
+ {%- endif %}
49
+ {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
50
+ {%- elif item is mapping and 'text' in item %}
51
+ {{- item.text }}
52
+ {%- else %}
53
+ {{- raise_exception('Unexpected item type in content.') }}
54
+ {%- endif %}
55
+ {%- endfor %}
56
+ {%- elif content is none or content is undefined %}
57
+ {{- '' }}
58
+ {%- else %}
59
+ {{- raise_exception('Unexpected content type.') }}
60
+ {%- endif %}
61
+ {%- endmacro %}
62
+
63
+ {%- if not messages %}
64
+ {{- raise_exception('No messages provided.') }}
65
+ {%- endif %}
66
+
67
+ {# Flag to prevent double-rendering system prompt #}
68
+ {%- set ns = namespace(system_rendered=false) %}
69
+
70
+ {%- if tools and tools is iterable and tools is not mapping %}
71
+
72
+ {{- '<|im_start|>system\n# Tools\n\nYou have access to the following functions:\n\n<tools>' -}}
73
+ {%- for tool in tools -%}
74
+ {%- set function = tool.function -%}
75
+ {{- "\n<tool>\n<name>" + function.name + "</name>\n<description>" + function.description + "</description>" -}}
76
+ {%- if function.parameters and function.parameters.properties -%}
77
+ {%- for param_name, param_details in function.parameters.properties.items() -%}
78
+ {{- "\n<parameter>\n<name>" + param_name + "</name>\n<type>" + param_details.type + "</type>\n<description>" + (param_details.description | default('')) + "</description>" -}}
79
+ {{- render_item_list(function.parameters.required) -}}
80
+ {{- render_extra_keys(param_details, ['type', 'description']) -}}
81
+ {{- "\n</parameter>" -}}
82
+ {%- endfor -%}
83
+ {%- endif -%}
84
+ {{- "\n</tool>" -}}
85
+ {%- endfor -%}
86
+
87
+ {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
88
+
89
+ {%- if messages[0].role == 'system' %}
90
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
91
+ {%- if content %}
92
+ {{- '\n\n' + content }}
93
+ {%- endif %}
94
+ {%- set ns.system_rendered = true %}
95
+ {%- endif %}
96
+ {{- '<|im_end|>\n' }}
97
+ {%- else %}
98
+ {%- if messages[0].role == 'system' %}
99
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
100
+ {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
101
+ {%- set ns.system_rendered = true %}
102
+ {%- endif %}
103
+ {%- endif %}
104
+
105
+ {# Main Message Loop #}
106
+ {%- for message in messages %}
107
+ {%- if message.role == "system" and ns.system_rendered and loop.first %}
108
+ {%- continue %}
109
+ {%- endif %}
110
+
111
+ {%- set content = render_content(message.content, true)|trim %}
112
+
113
+ {%- if message.role == "system" %}
114
+ {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
115
+ {%- elif message.role == "user" %}
116
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>\n' }}
117
+ {%- elif message.role == "assistant" %}
118
+ {%- set reasoning_content = '' %}
119
+ {%- if message.reasoning_content is defined and message.reasoning_content is string %}
120
+ {%- set reasoning_content = message.reasoning_content | trim %}
121
+ {%- elif '<think>' in content and '</think>' in content %}
122
+ {%- set reasoning_content = content.split('</think>')[0].split('<think>')[-1] | trim %}
123
+ {%- set content = content.split('</think>')[-1] | trim %}
124
+ {%- endif %}
125
+
126
+ {{- '<|im_start|>' + message.role + '\n' }}
127
+
128
+ {%- if reasoning_content %}
129
+ {{- '<think>\n' + reasoning_content + '\n</think>\n\n' }}
130
+ {%- endif %}
131
+
132
+ {{- content }}
133
+
134
+ {# Tool call formatting #}
135
+ {%- if message.tool_calls %}
136
+ {%- for tool_call in message.tool_calls %}
137
+ {%- set tc = tool_call.function if tool_call.function is defined else tool_call %}
138
+ {%- if loop.first and content %}{{- '\n\n' }}{%- elif not loop.first %}{{- '\n' }}{%- endif %}
139
+ {{- '<tool_call>\n<function=' + tc.name + '>\n' }}
140
+ {%- for args_name, args_value in tc.arguments|items %}
141
+ {{- '<parameter=' + args_name + '>\n' }}
142
+ {{- (args_value | tojson | safe if args_value is mapping or args_value is sequence else args_value | string) + '\n</parameter>\n' }}
143
+ {%- endfor %}
144
+ {{- '</function>\n</tool_call>' }}
145
+ {%- endfor %}
146
+ {%- endif %}
147
+ {{- '<|im_end|>\n' }}
148
+ {%- elif message.role == "tool" %}
149
+ {%- if loop.previtem and loop.previtem.role != "tool" %}{{- '<|im_start|>user' }}{%- endif %}
150
+ {{- '\n<tool_response>\n' + content + '\n</tool_response>' }}
151
+ {%- if loop.last or (loop.nextitem and loop.nextitem.role != "tool") %}{{- '<|im_end|>\n' }}{%- endif %}
152
+ {%- endif %}
153
+ {%- endfor %}
154
+
155
+ {# Final Generation Prompt #}
156
+ {%- if add_generation_prompt %}
157
+ {{- '<|im_start|>assistant\n' }}
158
+ {%- if enable_thinking is defined and enable_thinking is false %}
159
+ {{- '<think>\n\n</think>\n\n' }}
160
+ {%- else %}
161
+ {{- '<think>\n' }}
162
+ {%- endif %}
163
+ {%- endif %}
chat_template-instruct.jinja ADDED
@@ -0,0 +1,156 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- set enable_thinking = false %}
2
+
3
+ {%- set image_count = namespace(value=0) %}
4
+ {%- set video_count = namespace(value=0) %}
5
+ {%- macro render_content(content, do_vision_count, is_system_content=false) %}
6
+ {%- if content is string %}
7
+ {{- content }}
8
+ {%- elif content is iterable and content is not mapping %}
9
+ {%- for item in content %}
10
+ {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
11
+ {%- if is_system_content %}
12
+ {{- raise_exception('System message cannot contain images.') }}
13
+ {%- endif %}
14
+ {%- if do_vision_count %}
15
+ {%- set image_count.value = image_count.value + 1 %}
16
+ {%- endif %}
17
+ {%- if add_vision_id %}
18
+ {{- 'Picture ' ~ image_count.value ~ ': ' }}
19
+ {%- endif %}
20
+ {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
21
+ {%- elif 'video' in item or item.type == 'video' %}
22
+ {%- if is_system_content %}
23
+ {{- raise_exception('System message cannot contain videos.') }}
24
+ {%- endif %}
25
+ {%- if do_vision_count %}
26
+ {%- set video_count.value = video_count.value + 1 %}
27
+ {%- endif %}
28
+ {%- if add_vision_id %}
29
+ {{- 'Video ' ~ video_count.value ~ ': ' }}
30
+ {%- endif %}
31
+ {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
32
+ {%- elif 'text' in item %}
33
+ {{- item.text }}
34
+ {%- else %}
35
+ {{- raise_exception('Unexpected item type in content.') }}
36
+ {%- endif %}
37
+ {%- endfor %}
38
+ {%- elif content is none or content is undefined %}
39
+ {{- '' }}
40
+ {%- else %}
41
+ {{- raise_exception('Unexpected content type.') }}
42
+ {%- endif %}
43
+ {%- endmacro %}
44
+ {%- if not messages %}
45
+ {{- raise_exception('No messages provided.') }}
46
+ {%- endif %}
47
+ {%- if tools and tools is iterable and tools is not mapping %}
48
+ {{- '<|im_start|>system\n' }}
49
+ {{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
50
+ {%- for tool in tools %}
51
+ {{- "\n" }}
52
+ {{- tool | tojson }}
53
+ {%- endfor %}
54
+ {{- "\n</tools>" }}
55
+ {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
56
+ {%- if messages[0].role == 'system' %}
57
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
58
+ {%- if content %}
59
+ {{- '\n\n' + content }}
60
+ {%- endif %}
61
+ {%- endif %}
62
+ {{- '<|im_end|>\n' }}
63
+ {%- else %}
64
+ {%- if messages[0].role == 'system' %}
65
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
66
+ {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
67
+ {%- endif %}
68
+ {%- endif %}
69
+ {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
70
+ {%- for message in messages[::-1] %}
71
+ {%- set index = (messages|length - 1) - loop.index0 %}
72
+ {%- if ns.multi_step_tool and message.role == "user" %}
73
+ {%- set content = render_content(message.content, false)|trim %}
74
+ {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
75
+ {%- set ns.multi_step_tool = false %}
76
+ {%- set ns.last_query_index = index %}
77
+ {%- endif %}
78
+ {%- endif %}
79
+ {%- endfor %}
80
+ {%- if ns.multi_step_tool %}
81
+ {{- raise_exception('No user query found in messages.') }}
82
+ {%- endif %}
83
+ {%- for message in messages %}
84
+ {%- set content = render_content(message.content, true)|trim %}
85
+ {%- if message.role == "system" %}
86
+ {%- if not loop.first %}
87
+ {{- raise_exception('System message must be at the beginning.') }}
88
+ {%- endif %}
89
+ {%- elif message.role == "user" %}
90
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
91
+ {%- elif message.role == "assistant" %}
92
+ {%- set reasoning_content = '' %}
93
+ {%- if message.reasoning_content is string %}
94
+ {%- set reasoning_content = message.reasoning_content %}
95
+ {%- else %}
96
+ {%- if '</think>' in content %}
97
+ {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
98
+ {%- set content = content.split('</think>')[-1].lstrip('\n') %}
99
+ {%- endif %}
100
+ {%- endif %}
101
+ {%- set reasoning_content = reasoning_content|trim %}
102
+ {%- if loop.index0 > ns.last_query_index %}
103
+ {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
104
+ {%- else %}
105
+ {{- '<|im_start|>' + message.role + '\n' + content }}
106
+ {%- endif %}
107
+ {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
108
+ {%- for tool_call in message.tool_calls %}
109
+ {%- if tool_call.function is defined %}
110
+ {%- set tool_call = tool_call.function %}
111
+ {%- endif %}
112
+ {%- if loop.first %}
113
+ {%- if content|trim %}
114
+ {{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
115
+ {%- else %}
116
+ {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
117
+ {%- endif %}
118
+ {%- else %}
119
+ {{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
120
+ {%- endif %}
121
+ {%- if tool_call.arguments is defined %}
122
+ {%- for args_name, args_value in tool_call.arguments|items %}
123
+ {{- '<parameter=' + args_name + '>\n' }}
124
+ {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
125
+ {{- args_value }}
126
+ {{- '\n</parameter>\n' }}
127
+ {%- endfor %}
128
+ {%- endif %}
129
+ {{- '</function>\n</tool_call>' }}
130
+ {%- endfor %}
131
+ {%- endif %}
132
+ {{- '<|im_end|>\n' }}
133
+ {%- elif message.role == "tool" %}
134
+ {%- if loop.previtem and loop.previtem.role != "tool" %}
135
+ {{- '<|im_start|>user' }}
136
+ {%- endif %}
137
+ {{- '\n<tool_response>\n' }}
138
+ {{- content }}
139
+ {{- '\n</tool_response>' }}
140
+ {%- if not loop.last and loop.nextitem.role != "tool" %}
141
+ {{- '<|im_end|>\n' }}
142
+ {%- elif loop.last %}
143
+ {{- '<|im_end|>\n' }}
144
+ {%- endif %}
145
+ {%- else %}
146
+ {{- raise_exception('Unexpected message role.') }}
147
+ {%- endif %}
148
+ {%- endfor %}
149
+ {%- if add_generation_prompt %}
150
+ {{- '<|im_start|>assistant\n' }}
151
+ {%- if enable_thinking is defined and enable_thinking is false %}
152
+ {{- '<think>\n\n</think>\n\n' }}
153
+ {%- else %}
154
+ {{- '<think>\n' }}
155
+ {%- endif %}
156
+ {%- endif %}
chat_template-org.jinja ADDED
@@ -0,0 +1,154 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- set image_count = namespace(value=0) %}
2
+ {%- set video_count = namespace(value=0) %}
3
+ {%- macro render_content(content, do_vision_count, is_system_content=false) %}
4
+ {%- if content is string %}
5
+ {{- content }}
6
+ {%- elif content is iterable and content is not mapping %}
7
+ {%- for item in content %}
8
+ {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
9
+ {%- if is_system_content %}
10
+ {{- raise_exception('System message cannot contain images.') }}
11
+ {%- endif %}
12
+ {%- if do_vision_count %}
13
+ {%- set image_count.value = image_count.value + 1 %}
14
+ {%- endif %}
15
+ {%- if add_vision_id %}
16
+ {{- 'Picture ' ~ image_count.value ~ ': ' }}
17
+ {%- endif %}
18
+ {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
19
+ {%- elif 'video' in item or item.type == 'video' %}
20
+ {%- if is_system_content %}
21
+ {{- raise_exception('System message cannot contain videos.') }}
22
+ {%- endif %}
23
+ {%- if do_vision_count %}
24
+ {%- set video_count.value = video_count.value + 1 %}
25
+ {%- endif %}
26
+ {%- if add_vision_id %}
27
+ {{- 'Video ' ~ video_count.value ~ ': ' }}
28
+ {%- endif %}
29
+ {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
30
+ {%- elif 'text' in item %}
31
+ {{- item.text }}
32
+ {%- else %}
33
+ {{- raise_exception('Unexpected item type in content.') }}
34
+ {%- endif %}
35
+ {%- endfor %}
36
+ {%- elif content is none or content is undefined %}
37
+ {{- '' }}
38
+ {%- else %}
39
+ {{- raise_exception('Unexpected content type.') }}
40
+ {%- endif %}
41
+ {%- endmacro %}
42
+ {%- if not messages %}
43
+ {{- raise_exception('No messages provided.') }}
44
+ {%- endif %}
45
+ {%- if tools and tools is iterable and tools is not mapping %}
46
+ {{- '<|im_start|>system\n' }}
47
+ {{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
48
+ {%- for tool in tools %}
49
+ {{- "\n" }}
50
+ {{- tool | tojson }}
51
+ {%- endfor %}
52
+ {{- "\n</tools>" }}
53
+ {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
54
+ {%- if messages[0].role == 'system' %}
55
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
56
+ {%- if content %}
57
+ {{- '\n\n' + content }}
58
+ {%- endif %}
59
+ {%- endif %}
60
+ {{- '<|im_end|>\n' }}
61
+ {%- else %}
62
+ {%- if messages[0].role == 'system' %}
63
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
64
+ {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
65
+ {%- endif %}
66
+ {%- endif %}
67
+ {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
68
+ {%- for message in messages[::-1] %}
69
+ {%- set index = (messages|length - 1) - loop.index0 %}
70
+ {%- if ns.multi_step_tool and message.role == "user" %}
71
+ {%- set content = render_content(message.content, false)|trim %}
72
+ {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
73
+ {%- set ns.multi_step_tool = false %}
74
+ {%- set ns.last_query_index = index %}
75
+ {%- endif %}
76
+ {%- endif %}
77
+ {%- endfor %}
78
+ {%- if ns.multi_step_tool %}
79
+ {{- raise_exception('No user query found in messages.') }}
80
+ {%- endif %}
81
+ {%- for message in messages %}
82
+ {%- set content = render_content(message.content, true)|trim %}
83
+ {%- if message.role == "system" %}
84
+ {%- if not loop.first %}
85
+ {{- raise_exception('System message must be at the beginning.') }}
86
+ {%- endif %}
87
+ {%- elif message.role == "user" %}
88
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
89
+ {%- elif message.role == "assistant" %}
90
+ {%- set reasoning_content = '' %}
91
+ {%- if message.reasoning_content is string %}
92
+ {%- set reasoning_content = message.reasoning_content %}
93
+ {%- else %}
94
+ {%- if '</think>' in content %}
95
+ {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
96
+ {%- set content = content.split('</think>')[-1].lstrip('\n') %}
97
+ {%- endif %}
98
+ {%- endif %}
99
+ {%- set reasoning_content = reasoning_content|trim %}
100
+ {%- if loop.index0 > ns.last_query_index %}
101
+ {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
102
+ {%- else %}
103
+ {{- '<|im_start|>' + message.role + '\n' + content }}
104
+ {%- endif %}
105
+ {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
106
+ {%- for tool_call in message.tool_calls %}
107
+ {%- if tool_call.function is defined %}
108
+ {%- set tool_call = tool_call.function %}
109
+ {%- endif %}
110
+ {%- if loop.first %}
111
+ {%- if content|trim %}
112
+ {{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
113
+ {%- else %}
114
+ {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
115
+ {%- endif %}
116
+ {%- else %}
117
+ {{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
118
+ {%- endif %}
119
+ {%- if tool_call.arguments is defined %}
120
+ {%- for args_name, args_value in tool_call.arguments|items %}
121
+ {{- '<parameter=' + args_name + '>\n' }}
122
+ {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
123
+ {{- args_value }}
124
+ {{- '\n</parameter>\n' }}
125
+ {%- endfor %}
126
+ {%- endif %}
127
+ {{- '</function>\n</tool_call>' }}
128
+ {%- endfor %}
129
+ {%- endif %}
130
+ {{- '<|im_end|>\n' }}
131
+ {%- elif message.role == "tool" %}
132
+ {%- if loop.previtem and loop.previtem.role != "tool" %}
133
+ {{- '<|im_start|>user' }}
134
+ {%- endif %}
135
+ {{- '\n<tool_response>\n' }}
136
+ {{- content }}
137
+ {{- '\n</tool_response>' }}
138
+ {%- if not loop.last and loop.nextitem.role != "tool" %}
139
+ {{- '<|im_end|>\n' }}
140
+ {%- elif loop.last %}
141
+ {{- '<|im_end|>\n' }}
142
+ {%- endif %}
143
+ {%- else %}
144
+ {{- raise_exception('Unexpected message role.') }}
145
+ {%- endif %}
146
+ {%- endfor %}
147
+ {%- if add_generation_prompt %}
148
+ {{- '<|im_start|>assistant\n' }}
149
+ {%- if enable_thinking is defined and enable_thinking is false %}
150
+ {{- '<think>\n\n</think>\n\n' }}
151
+ {%- else %}
152
+ {{- '<think>\n' }}
153
+ {%- endif %}
154
+ {%- endif %}
chat_template.jinja ADDED
@@ -0,0 +1,163 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {# Define the macros for XML conversion #}
2
+ {%- macro render_item_list(item_list, tag_name='required') -%}
3
+ {%- if item_list is defined and item_list is iterable and item_list | length > 0 -%}
4
+ <{{ tag_name }}>[{{- item_list | join(", ") -}}]</{{ tag_name }}>
5
+ {%- endif -%}
6
+ {%- endmacro -%}
7
+
8
+ {%- macro render_extra_keys(json_dict, handled_keys) -%}
9
+ {%- if json_dict is mapping -%}
10
+ {%- for json_key in json_dict if json_key not in handled_keys -%}
11
+ <{{ json_key }}>{{ json_dict[json_key] }}</{{ json_key }}>
12
+ {%- endfor -%}
13
+ {%- endif -%}
14
+ {%- endmacro -%}
15
+
16
+
17
+ {%- set image_count = namespace(value=0) %}
18
+ {%- set video_count = namespace(value=0) %}
19
+ {%- set add_vision_id = add_vision_id if add_vision_id is defined else true %}
20
+
21
+ {%- set enable_thinking = false %}
22
+
23
+ {%- macro render_content(content, do_vision_count, is_system_content=false) %}
24
+ {%- if content is string %}
25
+ {{- content }}
26
+ {%- elif content is iterable and content is not mapping %}
27
+ {%- for item in content %}
28
+ {%- if 'image' in item or 'image_url' in item or (item is mapping and item.get('type') == 'image') %}
29
+ {%- if is_system_content %}
30
+ {{- raise_exception('System message cannot contain images.') }}
31
+ {%- endif %}
32
+ {%- if do_vision_count %}
33
+ {%- set image_count.value = image_count.value + 1 %}
34
+ {%- endif %}
35
+ {%- if add_vision_id %}
36
+ {{- 'Picture ' ~ image_count.value ~ ': ' }}
37
+ {%- endif %}
38
+ {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
39
+ {%- elif 'video' in item or (item is mapping and item.get('type') == 'video') %}
40
+ {%- if is_system_content %}
41
+ {{- raise_exception('System message cannot contain videos.') }}
42
+ {%- endif %}
43
+ {%- if do_vision_count %}
44
+ {%- set video_count.value = video_count.value + 1 %}
45
+ {%- endif %}
46
+ {%- if add_vision_id %}
47
+ {{- 'Video ' ~ video_count.value ~ ': ' }}
48
+ {%- endif %}
49
+ {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
50
+ {%- elif item is mapping and 'text' in item %}
51
+ {{- item.text }}
52
+ {%- else %}
53
+ {{- raise_exception('Unexpected item type in content.') }}
54
+ {%- endif %}
55
+ {%- endfor %}
56
+ {%- elif content is none or content is undefined %}
57
+ {{- '' }}
58
+ {%- else %}
59
+ {{- raise_exception('Unexpected content type.') }}
60
+ {%- endif %}
61
+ {%- endmacro %}
62
+
63
+ {%- if not messages %}
64
+ {{- raise_exception('No messages provided.') }}
65
+ {%- endif %}
66
+
67
+ {# Flag to prevent double-rendering system prompt #}
68
+ {%- set ns = namespace(system_rendered=false) %}
69
+
70
+ {%- if tools and tools is iterable and tools is not mapping %}
71
+
72
+ {{- '<|im_start|>system\n# Tools\n\nYou have access to the following functions:\n\n<tools>' -}}
73
+ {%- for tool in tools -%}
74
+ {%- set function = tool.function -%}
75
+ {{- "\n<tool>\n<name>" + function.name + "</name>\n<description>" + function.description + "</description>" -}}
76
+ {%- if function.parameters and function.parameters.properties -%}
77
+ {%- for param_name, param_details in function.parameters.properties.items() -%}
78
+ {{- "\n<parameter>\n<name>" + param_name + "</name>\n<type>" + param_details.type + "</type>\n<description>" + (param_details.description | default('')) + "</description>" -}}
79
+ {{- render_item_list(function.parameters.required) -}}
80
+ {{- render_extra_keys(param_details, ['type', 'description']) -}}
81
+ {{- "\n</parameter>" -}}
82
+ {%- endfor -%}
83
+ {%- endif -%}
84
+ {{- "\n</tool>" -}}
85
+ {%- endfor -%}
86
+
87
+ {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
88
+
89
+ {%- if messages[0].role == 'system' %}
90
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
91
+ {%- if content %}
92
+ {{- '\n\n' + content }}
93
+ {%- endif %}
94
+ {%- set ns.system_rendered = true %}
95
+ {%- endif %}
96
+ {{- '<|im_end|>\n' }}
97
+ {%- else %}
98
+ {%- if messages[0].role == 'system' %}
99
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
100
+ {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
101
+ {%- set ns.system_rendered = true %}
102
+ {%- endif %}
103
+ {%- endif %}
104
+
105
+ {# Main Message Loop #}
106
+ {%- for message in messages %}
107
+ {%- if message.role == "system" and ns.system_rendered and loop.first %}
108
+ {%- continue %}
109
+ {%- endif %}
110
+
111
+ {%- set content = render_content(message.content, true)|trim %}
112
+
113
+ {%- if message.role == "system" %}
114
+ {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
115
+ {%- elif message.role == "user" %}
116
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>\n' }}
117
+ {%- elif message.role == "assistant" %}
118
+ {%- set reasoning_content = '' %}
119
+ {%- if message.reasoning_content is defined and message.reasoning_content is string %}
120
+ {%- set reasoning_content = message.reasoning_content | trim %}
121
+ {%- elif '<think>' in content and '</think>' in content %}
122
+ {%- set reasoning_content = content.split('</think>')[0].split('<think>')[-1] | trim %}
123
+ {%- set content = content.split('</think>')[-1] | trim %}
124
+ {%- endif %}
125
+
126
+ {{- '<|im_start|>' + message.role + '\n' }}
127
+
128
+ {%- if reasoning_content %}
129
+ {{- '<think>\n' + reasoning_content + '\n</think>\n\n' }}
130
+ {%- endif %}
131
+
132
+ {{- content }}
133
+
134
+ {# Tool call formatting #}
135
+ {%- if message.tool_calls %}
136
+ {%- for tool_call in message.tool_calls %}
137
+ {%- set tc = tool_call.function if tool_call.function is defined else tool_call %}
138
+ {%- if loop.first and content %}{{- '\n\n' }}{%- elif not loop.first %}{{- '\n' }}{%- endif %}
139
+ {{- '<tool_call>\n<function=' + tc.name + '>\n' }}
140
+ {%- for args_name, args_value in tc.arguments|items %}
141
+ {{- '<parameter=' + args_name + '>\n' }}
142
+ {{- (args_value | tojson | safe if args_value is mapping or args_value is sequence else args_value | string) + '\n</parameter>\n' }}
143
+ {%- endfor %}
144
+ {{- '</function>\n</tool_call>' }}
145
+ {%- endfor %}
146
+ {%- endif %}
147
+ {{- '<|im_end|>\n' }}
148
+ {%- elif message.role == "tool" %}
149
+ {%- if loop.previtem and loop.previtem.role != "tool" %}{{- '<|im_start|>user' }}{%- endif %}
150
+ {{- '\n<tool_response>\n' + content + '\n</tool_response>' }}
151
+ {%- if loop.last or (loop.nextitem and loop.nextitem.role != "tool") %}{{- '<|im_end|>\n' }}{%- endif %}
152
+ {%- endif %}
153
+ {%- endfor %}
154
+
155
+ {# Final Generation Prompt #}
156
+ {%- if add_generation_prompt %}
157
+ {{- '<|im_start|>assistant\n' }}
158
+ {%- if enable_thinking is defined and enable_thinking is false %}
159
+ {{- '<think>\n\n</think>\n\n' }}
160
+ {%- else %}
161
+ {{- '<think>\n' }}
162
+ {%- endif %}
163
+ {%- endif %}
config.json ADDED
@@ -0,0 +1,125 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen3_5ForConditionalGeneration"
4
+ ],
5
+ "dtype": "bfloat16",
6
+ "image_token_id": 248056,
7
+ "model_type": "qwen3_5",
8
+ "text_config": {
9
+ "attention_bias": false,
10
+ "attention_dropout": 0.0,
11
+ "attn_output_gate": true,
12
+ "bos_token_id": null,
13
+ "dtype": "bfloat16",
14
+ "eos_token_id": 248044,
15
+ "full_attention_interval": 4,
16
+ "head_dim": 256,
17
+ "hidden_act": "silu",
18
+ "hidden_size": 4096,
19
+ "initializer_range": 0.02,
20
+ "intermediate_size": 12288,
21
+ "layer_types": [
22
+ "linear_attention",
23
+ "linear_attention",
24
+ "linear_attention",
25
+ "full_attention",
26
+ "linear_attention",
27
+ "linear_attention",
28
+ "linear_attention",
29
+ "full_attention",
30
+ "linear_attention",
31
+ "linear_attention",
32
+ "linear_attention",
33
+ "full_attention",
34
+ "linear_attention",
35
+ "linear_attention",
36
+ "linear_attention",
37
+ "full_attention",
38
+ "linear_attention",
39
+ "linear_attention",
40
+ "linear_attention",
41
+ "full_attention",
42
+ "linear_attention",
43
+ "linear_attention",
44
+ "linear_attention",
45
+ "full_attention",
46
+ "linear_attention",
47
+ "linear_attention",
48
+ "linear_attention",
49
+ "full_attention",
50
+ "linear_attention",
51
+ "linear_attention",
52
+ "linear_attention",
53
+ "full_attention",
54
+ "linear_attention",
55
+ "linear_attention",
56
+ "linear_attention",
57
+ "full_attention",
58
+ "linear_attention",
59
+ "linear_attention",
60
+ "linear_attention",
61
+ "full_attention",
62
+ "linear_attention",
63
+ "linear_attention",
64
+ "linear_attention",
65
+ "full_attention",
66
+ "linear_attention",
67
+ "linear_attention",
68
+ "linear_attention",
69
+ "full_attention"
70
+ ],
71
+ "linear_conv_kernel_dim": 4,
72
+ "linear_key_head_dim": 128,
73
+ "linear_num_key_heads": 16,
74
+ "linear_num_value_heads": 32,
75
+ "linear_value_head_dim": 128,
76
+ "mamba_ssm_dtype": "float32",
77
+ "max_position_embeddings": 262144,
78
+ "mlp_only_layers": [],
79
+ "model_type": "qwen3_5_text",
80
+ "mtp_num_hidden_layers": 1,
81
+ "mtp_use_dedicated_embeddings": false,
82
+ "num_attention_heads": 16,
83
+ "num_hidden_layers": 48,
84
+ "num_key_value_heads": 4,
85
+ "pad_token_id": null,
86
+ "partial_rotary_factor": 0.25,
87
+ "rms_norm_eps": 1e-06,
88
+ "rope_parameters": {
89
+ "mrope_interleaved": true,
90
+ "mrope_section": [
91
+ 11,
92
+ 11,
93
+ 10
94
+ ],
95
+ "partial_rotary_factor": 0.25,
96
+ "rope_theta": 10000000,
97
+ "rope_type": "default"
98
+ },
99
+ "tie_word_embeddings": false,
100
+ "use_cache": true,
101
+ "vocab_size": 248320
102
+ },
103
+ "tie_word_embeddings": false,
104
+ "transformers_version": "5.2.0",
105
+ "video_token_id": 248057,
106
+ "vision_config": {
107
+ "deepstack_visual_indexes": [],
108
+ "depth": 27,
109
+ "dtype": "bfloat16",
110
+ "hidden_act": "gelu_pytorch_tanh",
111
+ "hidden_size": 1152,
112
+ "in_channels": 3,
113
+ "initializer_range": 0.02,
114
+ "intermediate_size": 4304,
115
+ "model_type": "qwen3_5",
116
+ "num_heads": 16,
117
+ "num_position_embeddings": 2304,
118
+ "out_hidden_size": 4096,
119
+ "patch_size": 16,
120
+ "spatial_merge_size": 2,
121
+ "temporal_patch_size": 2
122
+ },
123
+ "vision_end_token_id": 248054,
124
+ "vision_start_token_id": 248053
125
+ }
generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "eos_token_id": 248044,
4
+ "transformers_version": "5.2.0",
5
+ "use_cache": true
6
+ }
mergekit_config.yml ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ modules:
2
+
3
+ vision_tower:
4
+ models:
5
+ - model: x:/9B-Qwen3.5-R32-it-vl-Deepseek-4x-8000x-1x16-cp-1160
6
+
7
+ multi_modal_projector:
8
+ models:
9
+ - model: x:/9B-Qwen3.5-R32-it-vl-Deepseek-4x-8000x-1x16-cp-1160
10
+
11
+ text_decoder:
12
+ slices:
13
+ - sources:
14
+ - model: x:/9B-Qwen3.5-R32-it-vl-Deepseek-4x-8000x-1x16-cp-1160
15
+ layer_range: [0,12]
16
+
17
+ - sources:
18
+ - model: x:/9B-Qwen3.5-R64-it-vl-Polaris1000x-1x16-cp-155
19
+ layer_range: [8,20]
20
+
21
+ - sources:
22
+ - model: x:/9B-Qwen3.5-R32-it-vl-Deepseek-4x-8000x-1x16-cp-1160
23
+ layer_range: [12,24]
24
+
25
+ - sources:
26
+ - model: x:/9B-Qwen3.5-R64-it-vl-Polaris1000x-1x16-cp-155
27
+ layer_range: [20,32]
28
+
29
+ merge_method: passthrough
30
+ dtype: bfloat16
model-00001-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e25055bac7511bda388b58787d58dda8c2384c7346b84210534a5c1343d8e512
3
+ size 4943305048
model-00002-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1e62fa3cea71c50869f3e328363cad4aebd04179ad1dec0ec1772ff204c2ac7b
3
+ size 4986576240
model-00003-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6a10e81cc08ec5058c47a3e64a2d6938018464660f2309a5be6d43bee706942e
3
+ size 4955992040
model-00004-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cdd743d0dedfbf951a56682eced7a7c72c362816dbbbe1fec5172e80c14dfbe6
3
+ size 4987159176
model-00005-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e92f516cdcdd9238b6bd30d568f1098d307afa7f827efdcbce2ee4037db27c3f
3
+ size 4995335056
model-00006-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5224736e5fd5d96f7f9730580f5e4eed670a6c7a6e3fdb388be662db29f4f7e5
3
+ size 1290416376
model.safetensors.index.json ADDED
@@ -0,0 +1,994 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 26158661600,
4
+ "mergekit_version": "0.1.4"
5
+ },
6
+ "weight_map": {
7
+ "lm_head.weight": "model-00001-of-00006.safetensors",
8
+ "model.language_model.embed_tokens.weight": "model-00001-of-00006.safetensors",
9
+ "model.language_model.layers.0.input_layernorm.weight": "model-00001-of-00006.safetensors",
10
+ "model.language_model.layers.0.linear_attn.A_log": "model-00001-of-00006.safetensors",
11
+ "model.language_model.layers.0.linear_attn.conv1d.weight": "model-00001-of-00006.safetensors",
12
+ "model.language_model.layers.0.linear_attn.dt_bias": "model-00001-of-00006.safetensors",
13
+ "model.language_model.layers.0.linear_attn.in_proj_a.weight": "model-00001-of-00006.safetensors",
14
+ "model.language_model.layers.0.linear_attn.in_proj_b.weight": "model-00001-of-00006.safetensors",
15
+ "model.language_model.layers.0.linear_attn.in_proj_qkv.weight": "model-00001-of-00006.safetensors",
16
+ "model.language_model.layers.0.linear_attn.in_proj_z.weight": "model-00001-of-00006.safetensors",
17
+ "model.language_model.layers.0.linear_attn.norm.weight": "model-00001-of-00006.safetensors",
18
+ "model.language_model.layers.0.linear_attn.out_proj.weight": "model-00001-of-00006.safetensors",
19
+ "model.language_model.layers.0.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
20
+ "model.language_model.layers.0.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
21
+ "model.language_model.layers.0.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
22
+ "model.language_model.layers.0.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
23
+ "model.language_model.layers.1.input_layernorm.weight": "model-00001-of-00006.safetensors",
24
+ "model.language_model.layers.1.linear_attn.A_log": "model-00001-of-00006.safetensors",
25
+ "model.language_model.layers.1.linear_attn.conv1d.weight": "model-00001-of-00006.safetensors",
26
+ "model.language_model.layers.1.linear_attn.dt_bias": "model-00001-of-00006.safetensors",
27
+ "model.language_model.layers.1.linear_attn.in_proj_a.weight": "model-00001-of-00006.safetensors",
28
+ "model.language_model.layers.1.linear_attn.in_proj_b.weight": "model-00001-of-00006.safetensors",
29
+ "model.language_model.layers.1.linear_attn.in_proj_qkv.weight": "model-00001-of-00006.safetensors",
30
+ "model.language_model.layers.1.linear_attn.in_proj_z.weight": "model-00001-of-00006.safetensors",
31
+ "model.language_model.layers.1.linear_attn.norm.weight": "model-00001-of-00006.safetensors",
32
+ "model.language_model.layers.1.linear_attn.out_proj.weight": "model-00001-of-00006.safetensors",
33
+ "model.language_model.layers.1.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
34
+ "model.language_model.layers.1.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
35
+ "model.language_model.layers.1.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
36
+ "model.language_model.layers.1.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
37
+ "model.language_model.layers.10.input_layernorm.weight": "model-00001-of-00006.safetensors",
38
+ "model.language_model.layers.14.input_layernorm.weight": "model-00001-of-00006.safetensors",
39
+ "model.language_model.layers.10.linear_attn.A_log": "model-00001-of-00006.safetensors",
40
+ "model.language_model.layers.14.linear_attn.A_log": "model-00001-of-00006.safetensors",
41
+ "model.language_model.layers.10.linear_attn.conv1d.weight": "model-00001-of-00006.safetensors",
42
+ "model.language_model.layers.14.linear_attn.conv1d.weight": "model-00001-of-00006.safetensors",
43
+ "model.language_model.layers.10.linear_attn.dt_bias": "model-00001-of-00006.safetensors",
44
+ "model.language_model.layers.14.linear_attn.dt_bias": "model-00001-of-00006.safetensors",
45
+ "model.language_model.layers.10.linear_attn.in_proj_a.weight": "model-00001-of-00006.safetensors",
46
+ "model.language_model.layers.14.linear_attn.in_proj_a.weight": "model-00001-of-00006.safetensors",
47
+ "model.language_model.layers.10.linear_attn.in_proj_b.weight": "model-00001-of-00006.safetensors",
48
+ "model.language_model.layers.14.linear_attn.in_proj_b.weight": "model-00001-of-00006.safetensors",
49
+ "model.language_model.layers.10.linear_attn.in_proj_qkv.weight": "model-00002-of-00006.safetensors",
50
+ "model.language_model.layers.14.linear_attn.in_proj_qkv.weight": "model-00002-of-00006.safetensors",
51
+ "model.language_model.layers.10.linear_attn.in_proj_z.weight": "model-00002-of-00006.safetensors",
52
+ "model.language_model.layers.14.linear_attn.in_proj_z.weight": "model-00002-of-00006.safetensors",
53
+ "model.language_model.layers.10.linear_attn.norm.weight": "model-00002-of-00006.safetensors",
54
+ "model.language_model.layers.14.linear_attn.norm.weight": "model-00002-of-00006.safetensors",
55
+ "model.language_model.layers.10.linear_attn.out_proj.weight": "model-00002-of-00006.safetensors",
56
+ "model.language_model.layers.14.linear_attn.out_proj.weight": "model-00002-of-00006.safetensors",
57
+ "model.language_model.layers.10.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
58
+ "model.language_model.layers.14.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
59
+ "model.language_model.layers.10.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
60
+ "model.language_model.layers.14.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
61
+ "model.language_model.layers.10.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
62
+ "model.language_model.layers.14.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
63
+ "model.language_model.layers.10.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
64
+ "model.language_model.layers.14.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
65
+ "model.language_model.layers.11.input_layernorm.weight": "model-00002-of-00006.safetensors",
66
+ "model.language_model.layers.15.input_layernorm.weight": "model-00002-of-00006.safetensors",
67
+ "model.language_model.layers.11.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
68
+ "model.language_model.layers.15.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
69
+ "model.language_model.layers.11.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
70
+ "model.language_model.layers.15.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
71
+ "model.language_model.layers.11.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
72
+ "model.language_model.layers.15.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
73
+ "model.language_model.layers.11.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
74
+ "model.language_model.layers.15.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
75
+ "model.language_model.layers.11.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
76
+ "model.language_model.layers.15.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
77
+ "model.language_model.layers.11.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
78
+ "model.language_model.layers.15.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
79
+ "model.language_model.layers.11.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
80
+ "model.language_model.layers.15.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
81
+ "model.language_model.layers.11.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
82
+ "model.language_model.layers.15.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
83
+ "model.language_model.layers.11.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
84
+ "model.language_model.layers.15.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
85
+ "model.language_model.layers.11.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
86
+ "model.language_model.layers.15.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
87
+ "model.language_model.layers.16.input_layernorm.weight": "model-00002-of-00006.safetensors",
88
+ "model.language_model.layers.24.input_layernorm.weight": "model-00002-of-00006.safetensors",
89
+ "model.language_model.layers.16.linear_attn.A_log": "model-00002-of-00006.safetensors",
90
+ "model.language_model.layers.24.linear_attn.A_log": "model-00002-of-00006.safetensors",
91
+ "model.language_model.layers.16.linear_attn.conv1d.weight": "model-00002-of-00006.safetensors",
92
+ "model.language_model.layers.24.linear_attn.conv1d.weight": "model-00002-of-00006.safetensors",
93
+ "model.language_model.layers.16.linear_attn.dt_bias": "model-00002-of-00006.safetensors",
94
+ "model.language_model.layers.24.linear_attn.dt_bias": "model-00002-of-00006.safetensors",
95
+ "model.language_model.layers.16.linear_attn.in_proj_a.weight": "model-00002-of-00006.safetensors",
96
+ "model.language_model.layers.24.linear_attn.in_proj_a.weight": "model-00002-of-00006.safetensors",
97
+ "model.language_model.layers.16.linear_attn.in_proj_b.weight": "model-00002-of-00006.safetensors",
98
+ "model.language_model.layers.24.linear_attn.in_proj_b.weight": "model-00002-of-00006.safetensors",
99
+ "model.language_model.layers.16.linear_attn.in_proj_qkv.weight": "model-00002-of-00006.safetensors",
100
+ "model.language_model.layers.24.linear_attn.in_proj_qkv.weight": "model-00002-of-00006.safetensors",
101
+ "model.language_model.layers.16.linear_attn.in_proj_z.weight": "model-00002-of-00006.safetensors",
102
+ "model.language_model.layers.24.linear_attn.in_proj_z.weight": "model-00002-of-00006.safetensors",
103
+ "model.language_model.layers.16.linear_attn.norm.weight": "model-00002-of-00006.safetensors",
104
+ "model.language_model.layers.24.linear_attn.norm.weight": "model-00002-of-00006.safetensors",
105
+ "model.language_model.layers.16.linear_attn.out_proj.weight": "model-00002-of-00006.safetensors",
106
+ "model.language_model.layers.24.linear_attn.out_proj.weight": "model-00002-of-00006.safetensors",
107
+ "model.language_model.layers.16.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
108
+ "model.language_model.layers.24.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
109
+ "model.language_model.layers.16.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
110
+ "model.language_model.layers.24.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
111
+ "model.language_model.layers.16.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
112
+ "model.language_model.layers.24.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
113
+ "model.language_model.layers.16.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
114
+ "model.language_model.layers.24.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
115
+ "model.language_model.layers.17.input_layernorm.weight": "model-00002-of-00006.safetensors",
116
+ "model.language_model.layers.25.input_layernorm.weight": "model-00002-of-00006.safetensors",
117
+ "model.language_model.layers.17.linear_attn.A_log": "model-00002-of-00006.safetensors",
118
+ "model.language_model.layers.25.linear_attn.A_log": "model-00002-of-00006.safetensors",
119
+ "model.language_model.layers.17.linear_attn.conv1d.weight": "model-00002-of-00006.safetensors",
120
+ "model.language_model.layers.25.linear_attn.conv1d.weight": "model-00002-of-00006.safetensors",
121
+ "model.language_model.layers.17.linear_attn.dt_bias": "model-00002-of-00006.safetensors",
122
+ "model.language_model.layers.25.linear_attn.dt_bias": "model-00002-of-00006.safetensors",
123
+ "model.language_model.layers.17.linear_attn.in_proj_a.weight": "model-00002-of-00006.safetensors",
124
+ "model.language_model.layers.25.linear_attn.in_proj_a.weight": "model-00002-of-00006.safetensors",
125
+ "model.language_model.layers.17.linear_attn.in_proj_b.weight": "model-00002-of-00006.safetensors",
126
+ "model.language_model.layers.25.linear_attn.in_proj_b.weight": "model-00002-of-00006.safetensors",
127
+ "model.language_model.layers.17.linear_attn.in_proj_qkv.weight": "model-00002-of-00006.safetensors",
128
+ "model.language_model.layers.25.linear_attn.in_proj_qkv.weight": "model-00002-of-00006.safetensors",
129
+ "model.language_model.layers.17.linear_attn.in_proj_z.weight": "model-00002-of-00006.safetensors",
130
+ "model.language_model.layers.25.linear_attn.in_proj_z.weight": "model-00002-of-00006.safetensors",
131
+ "model.language_model.layers.17.linear_attn.norm.weight": "model-00002-of-00006.safetensors",
132
+ "model.language_model.layers.25.linear_attn.norm.weight": "model-00002-of-00006.safetensors",
133
+ "model.language_model.layers.17.linear_attn.out_proj.weight": "model-00002-of-00006.safetensors",
134
+ "model.language_model.layers.25.linear_attn.out_proj.weight": "model-00002-of-00006.safetensors",
135
+ "model.language_model.layers.17.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
136
+ "model.language_model.layers.25.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
137
+ "model.language_model.layers.17.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
138
+ "model.language_model.layers.25.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
139
+ "model.language_model.layers.17.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
140
+ "model.language_model.layers.25.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
141
+ "model.language_model.layers.17.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
142
+ "model.language_model.layers.25.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
143
+ "model.language_model.layers.18.input_layernorm.weight": "model-00002-of-00006.safetensors",
144
+ "model.language_model.layers.26.input_layernorm.weight": "model-00002-of-00006.safetensors",
145
+ "model.language_model.layers.18.linear_attn.A_log": "model-00002-of-00006.safetensors",
146
+ "model.language_model.layers.26.linear_attn.A_log": "model-00002-of-00006.safetensors",
147
+ "model.language_model.layers.18.linear_attn.conv1d.weight": "model-00002-of-00006.safetensors",
148
+ "model.language_model.layers.26.linear_attn.conv1d.weight": "model-00002-of-00006.safetensors",
149
+ "model.language_model.layers.18.linear_attn.dt_bias": "model-00002-of-00006.safetensors",
150
+ "model.language_model.layers.26.linear_attn.dt_bias": "model-00002-of-00006.safetensors",
151
+ "model.language_model.layers.18.linear_attn.in_proj_a.weight": "model-00002-of-00006.safetensors",
152
+ "model.language_model.layers.26.linear_attn.in_proj_a.weight": "model-00002-of-00006.safetensors",
153
+ "model.language_model.layers.18.linear_attn.in_proj_b.weight": "model-00002-of-00006.safetensors",
154
+ "model.language_model.layers.26.linear_attn.in_proj_b.weight": "model-00002-of-00006.safetensors",
155
+ "model.language_model.layers.18.linear_attn.in_proj_qkv.weight": "model-00002-of-00006.safetensors",
156
+ "model.language_model.layers.26.linear_attn.in_proj_qkv.weight": "model-00002-of-00006.safetensors",
157
+ "model.language_model.layers.18.linear_attn.in_proj_z.weight": "model-00002-of-00006.safetensors",
158
+ "model.language_model.layers.26.linear_attn.in_proj_z.weight": "model-00002-of-00006.safetensors",
159
+ "model.language_model.layers.18.linear_attn.norm.weight": "model-00002-of-00006.safetensors",
160
+ "model.language_model.layers.26.linear_attn.norm.weight": "model-00002-of-00006.safetensors",
161
+ "model.language_model.layers.18.linear_attn.out_proj.weight": "model-00002-of-00006.safetensors",
162
+ "model.language_model.layers.26.linear_attn.out_proj.weight": "model-00002-of-00006.safetensors",
163
+ "model.language_model.layers.18.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
164
+ "model.language_model.layers.26.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
165
+ "model.language_model.layers.18.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
166
+ "model.language_model.layers.26.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
167
+ "model.language_model.layers.18.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
168
+ "model.language_model.layers.26.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
169
+ "model.language_model.layers.18.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
170
+ "model.language_model.layers.26.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
171
+ "model.language_model.layers.19.input_layernorm.weight": "model-00002-of-00006.safetensors",
172
+ "model.language_model.layers.27.input_layernorm.weight": "model-00002-of-00006.safetensors",
173
+ "model.language_model.layers.19.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
174
+ "model.language_model.layers.27.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
175
+ "model.language_model.layers.19.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
176
+ "model.language_model.layers.27.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
177
+ "model.language_model.layers.19.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
178
+ "model.language_model.layers.27.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
179
+ "model.language_model.layers.19.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
180
+ "model.language_model.layers.27.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
181
+ "model.language_model.layers.19.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
182
+ "model.language_model.layers.27.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
183
+ "model.language_model.layers.19.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
184
+ "model.language_model.layers.27.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
185
+ "model.language_model.layers.19.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
186
+ "model.language_model.layers.27.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
187
+ "model.language_model.layers.19.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
188
+ "model.language_model.layers.27.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
189
+ "model.language_model.layers.19.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
190
+ "model.language_model.layers.27.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
191
+ "model.language_model.layers.19.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
192
+ "model.language_model.layers.27.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
193
+ "model.language_model.layers.20.input_layernorm.weight": "model-00003-of-00006.safetensors",
194
+ "model.language_model.layers.28.input_layernorm.weight": "model-00003-of-00006.safetensors",
195
+ "model.language_model.layers.20.linear_attn.A_log": "model-00003-of-00006.safetensors",
196
+ "model.language_model.layers.28.linear_attn.A_log": "model-00003-of-00006.safetensors",
197
+ "model.language_model.layers.20.linear_attn.conv1d.weight": "model-00003-of-00006.safetensors",
198
+ "model.language_model.layers.28.linear_attn.conv1d.weight": "model-00003-of-00006.safetensors",
199
+ "model.language_model.layers.20.linear_attn.dt_bias": "model-00003-of-00006.safetensors",
200
+ "model.language_model.layers.28.linear_attn.dt_bias": "model-00003-of-00006.safetensors",
201
+ "model.language_model.layers.20.linear_attn.in_proj_a.weight": "model-00003-of-00006.safetensors",
202
+ "model.language_model.layers.28.linear_attn.in_proj_a.weight": "model-00003-of-00006.safetensors",
203
+ "model.language_model.layers.20.linear_attn.in_proj_b.weight": "model-00003-of-00006.safetensors",
204
+ "model.language_model.layers.28.linear_attn.in_proj_b.weight": "model-00003-of-00006.safetensors",
205
+ "model.language_model.layers.20.linear_attn.in_proj_qkv.weight": "model-00003-of-00006.safetensors",
206
+ "model.language_model.layers.28.linear_attn.in_proj_qkv.weight": "model-00003-of-00006.safetensors",
207
+ "model.language_model.layers.20.linear_attn.in_proj_z.weight": "model-00003-of-00006.safetensors",
208
+ "model.language_model.layers.28.linear_attn.in_proj_z.weight": "model-00003-of-00006.safetensors",
209
+ "model.language_model.layers.20.linear_attn.norm.weight": "model-00003-of-00006.safetensors",
210
+ "model.language_model.layers.28.linear_attn.norm.weight": "model-00003-of-00006.safetensors",
211
+ "model.language_model.layers.20.linear_attn.out_proj.weight": "model-00003-of-00006.safetensors",
212
+ "model.language_model.layers.28.linear_attn.out_proj.weight": "model-00003-of-00006.safetensors",
213
+ "model.language_model.layers.20.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
214
+ "model.language_model.layers.28.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
215
+ "model.language_model.layers.20.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
216
+ "model.language_model.layers.28.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
217
+ "model.language_model.layers.20.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
218
+ "model.language_model.layers.28.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
219
+ "model.language_model.layers.20.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
220
+ "model.language_model.layers.28.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
221
+ "model.language_model.layers.21.input_layernorm.weight": "model-00003-of-00006.safetensors",
222
+ "model.language_model.layers.29.input_layernorm.weight": "model-00003-of-00006.safetensors",
223
+ "model.language_model.layers.21.linear_attn.A_log": "model-00003-of-00006.safetensors",
224
+ "model.language_model.layers.29.linear_attn.A_log": "model-00003-of-00006.safetensors",
225
+ "model.language_model.layers.21.linear_attn.conv1d.weight": "model-00003-of-00006.safetensors",
226
+ "model.language_model.layers.29.linear_attn.conv1d.weight": "model-00003-of-00006.safetensors",
227
+ "model.language_model.layers.21.linear_attn.dt_bias": "model-00003-of-00006.safetensors",
228
+ "model.language_model.layers.29.linear_attn.dt_bias": "model-00003-of-00006.safetensors",
229
+ "model.language_model.layers.21.linear_attn.in_proj_a.weight": "model-00003-of-00006.safetensors",
230
+ "model.language_model.layers.29.linear_attn.in_proj_a.weight": "model-00003-of-00006.safetensors",
231
+ "model.language_model.layers.21.linear_attn.in_proj_b.weight": "model-00003-of-00006.safetensors",
232
+ "model.language_model.layers.29.linear_attn.in_proj_b.weight": "model-00003-of-00006.safetensors",
233
+ "model.language_model.layers.21.linear_attn.in_proj_qkv.weight": "model-00003-of-00006.safetensors",
234
+ "model.language_model.layers.29.linear_attn.in_proj_qkv.weight": "model-00003-of-00006.safetensors",
235
+ "model.language_model.layers.21.linear_attn.in_proj_z.weight": "model-00003-of-00006.safetensors",
236
+ "model.language_model.layers.29.linear_attn.in_proj_z.weight": "model-00003-of-00006.safetensors",
237
+ "model.language_model.layers.21.linear_attn.norm.weight": "model-00003-of-00006.safetensors",
238
+ "model.language_model.layers.29.linear_attn.norm.weight": "model-00003-of-00006.safetensors",
239
+ "model.language_model.layers.21.linear_attn.out_proj.weight": "model-00003-of-00006.safetensors",
240
+ "model.language_model.layers.29.linear_attn.out_proj.weight": "model-00003-of-00006.safetensors",
241
+ "model.language_model.layers.21.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
242
+ "model.language_model.layers.29.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
243
+ "model.language_model.layers.21.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
244
+ "model.language_model.layers.29.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
245
+ "model.language_model.layers.21.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
246
+ "model.language_model.layers.29.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
247
+ "model.language_model.layers.21.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
248
+ "model.language_model.layers.29.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
249
+ "model.language_model.layers.22.input_layernorm.weight": "model-00003-of-00006.safetensors",
250
+ "model.language_model.layers.30.input_layernorm.weight": "model-00003-of-00006.safetensors",
251
+ "model.language_model.layers.22.linear_attn.A_log": "model-00003-of-00006.safetensors",
252
+ "model.language_model.layers.30.linear_attn.A_log": "model-00003-of-00006.safetensors",
253
+ "model.language_model.layers.22.linear_attn.conv1d.weight": "model-00003-of-00006.safetensors",
254
+ "model.language_model.layers.30.linear_attn.conv1d.weight": "model-00003-of-00006.safetensors",
255
+ "model.language_model.layers.22.linear_attn.dt_bias": "model-00003-of-00006.safetensors",
256
+ "model.language_model.layers.30.linear_attn.dt_bias": "model-00003-of-00006.safetensors",
257
+ "model.language_model.layers.22.linear_attn.in_proj_a.weight": "model-00003-of-00006.safetensors",
258
+ "model.language_model.layers.30.linear_attn.in_proj_a.weight": "model-00003-of-00006.safetensors",
259
+ "model.language_model.layers.22.linear_attn.in_proj_b.weight": "model-00003-of-00006.safetensors",
260
+ "model.language_model.layers.30.linear_attn.in_proj_b.weight": "model-00003-of-00006.safetensors",
261
+ "model.language_model.layers.22.linear_attn.in_proj_qkv.weight": "model-00003-of-00006.safetensors",
262
+ "model.language_model.layers.30.linear_attn.in_proj_qkv.weight": "model-00003-of-00006.safetensors",
263
+ "model.language_model.layers.22.linear_attn.in_proj_z.weight": "model-00003-of-00006.safetensors",
264
+ "model.language_model.layers.30.linear_attn.in_proj_z.weight": "model-00003-of-00006.safetensors",
265
+ "model.language_model.layers.22.linear_attn.norm.weight": "model-00003-of-00006.safetensors",
266
+ "model.language_model.layers.30.linear_attn.norm.weight": "model-00003-of-00006.safetensors",
267
+ "model.language_model.layers.22.linear_attn.out_proj.weight": "model-00003-of-00006.safetensors",
268
+ "model.language_model.layers.30.linear_attn.out_proj.weight": "model-00003-of-00006.safetensors",
269
+ "model.language_model.layers.22.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
270
+ "model.language_model.layers.30.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
271
+ "model.language_model.layers.22.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
272
+ "model.language_model.layers.30.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
273
+ "model.language_model.layers.22.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
274
+ "model.language_model.layers.30.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
275
+ "model.language_model.layers.22.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
276
+ "model.language_model.layers.30.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
277
+ "model.language_model.layers.23.input_layernorm.weight": "model-00003-of-00006.safetensors",
278
+ "model.language_model.layers.31.input_layernorm.weight": "model-00003-of-00006.safetensors",
279
+ "model.language_model.layers.23.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
280
+ "model.language_model.layers.31.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
281
+ "model.language_model.layers.23.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
282
+ "model.language_model.layers.31.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
283
+ "model.language_model.layers.23.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
284
+ "model.language_model.layers.31.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
285
+ "model.language_model.layers.23.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
286
+ "model.language_model.layers.31.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
287
+ "model.language_model.layers.23.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
288
+ "model.language_model.layers.31.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
289
+ "model.language_model.layers.23.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
290
+ "model.language_model.layers.31.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
291
+ "model.language_model.layers.23.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
292
+ "model.language_model.layers.31.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
293
+ "model.language_model.layers.23.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
294
+ "model.language_model.layers.31.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
295
+ "model.language_model.layers.23.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
296
+ "model.language_model.layers.31.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
297
+ "model.language_model.layers.23.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
298
+ "model.language_model.layers.31.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
299
+ "model.language_model.layers.2.input_layernorm.weight": "model-00003-of-00006.safetensors",
300
+ "model.language_model.layers.2.linear_attn.A_log": "model-00003-of-00006.safetensors",
301
+ "model.language_model.layers.2.linear_attn.conv1d.weight": "model-00003-of-00006.safetensors",
302
+ "model.language_model.layers.2.linear_attn.dt_bias": "model-00003-of-00006.safetensors",
303
+ "model.language_model.layers.2.linear_attn.in_proj_a.weight": "model-00003-of-00006.safetensors",
304
+ "model.language_model.layers.2.linear_attn.in_proj_b.weight": "model-00003-of-00006.safetensors",
305
+ "model.language_model.layers.2.linear_attn.in_proj_qkv.weight": "model-00003-of-00006.safetensors",
306
+ "model.language_model.layers.2.linear_attn.in_proj_z.weight": "model-00003-of-00006.safetensors",
307
+ "model.language_model.layers.2.linear_attn.norm.weight": "model-00003-of-00006.safetensors",
308
+ "model.language_model.layers.2.linear_attn.out_proj.weight": "model-00003-of-00006.safetensors",
309
+ "model.language_model.layers.2.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
310
+ "model.language_model.layers.2.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
311
+ "model.language_model.layers.2.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
312
+ "model.language_model.layers.2.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
313
+ "model.language_model.layers.32.input_layernorm.weight": "model-00003-of-00006.safetensors",
314
+ "model.language_model.layers.36.input_layernorm.weight": "model-00003-of-00006.safetensors",
315
+ "model.language_model.layers.32.linear_attn.A_log": "model-00003-of-00006.safetensors",
316
+ "model.language_model.layers.36.linear_attn.A_log": "model-00003-of-00006.safetensors",
317
+ "model.language_model.layers.32.linear_attn.conv1d.weight": "model-00003-of-00006.safetensors",
318
+ "model.language_model.layers.36.linear_attn.conv1d.weight": "model-00003-of-00006.safetensors",
319
+ "model.language_model.layers.32.linear_attn.dt_bias": "model-00003-of-00006.safetensors",
320
+ "model.language_model.layers.36.linear_attn.dt_bias": "model-00003-of-00006.safetensors",
321
+ "model.language_model.layers.32.linear_attn.in_proj_a.weight": "model-00003-of-00006.safetensors",
322
+ "model.language_model.layers.36.linear_attn.in_proj_a.weight": "model-00003-of-00006.safetensors",
323
+ "model.language_model.layers.32.linear_attn.in_proj_b.weight": "model-00003-of-00006.safetensors",
324
+ "model.language_model.layers.36.linear_attn.in_proj_b.weight": "model-00003-of-00006.safetensors",
325
+ "model.language_model.layers.32.linear_attn.in_proj_qkv.weight": "model-00003-of-00006.safetensors",
326
+ "model.language_model.layers.36.linear_attn.in_proj_qkv.weight": "model-00003-of-00006.safetensors",
327
+ "model.language_model.layers.32.linear_attn.in_proj_z.weight": "model-00003-of-00006.safetensors",
328
+ "model.language_model.layers.36.linear_attn.in_proj_z.weight": "model-00003-of-00006.safetensors",
329
+ "model.language_model.layers.32.linear_attn.norm.weight": "model-00003-of-00006.safetensors",
330
+ "model.language_model.layers.36.linear_attn.norm.weight": "model-00003-of-00006.safetensors",
331
+ "model.language_model.layers.32.linear_attn.out_proj.weight": "model-00003-of-00006.safetensors",
332
+ "model.language_model.layers.36.linear_attn.out_proj.weight": "model-00003-of-00006.safetensors",
333
+ "model.language_model.layers.32.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
334
+ "model.language_model.layers.36.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
335
+ "model.language_model.layers.32.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
336
+ "model.language_model.layers.36.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
337
+ "model.language_model.layers.32.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
338
+ "model.language_model.layers.36.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
339
+ "model.language_model.layers.32.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
340
+ "model.language_model.layers.36.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
341
+ "model.language_model.layers.33.input_layernorm.weight": "model-00003-of-00006.safetensors",
342
+ "model.language_model.layers.37.input_layernorm.weight": "model-00003-of-00006.safetensors",
343
+ "model.language_model.layers.33.linear_attn.A_log": "model-00003-of-00006.safetensors",
344
+ "model.language_model.layers.37.linear_attn.A_log": "model-00003-of-00006.safetensors",
345
+ "model.language_model.layers.33.linear_attn.conv1d.weight": "model-00003-of-00006.safetensors",
346
+ "model.language_model.layers.37.linear_attn.conv1d.weight": "model-00003-of-00006.safetensors",
347
+ "model.language_model.layers.33.linear_attn.dt_bias": "model-00003-of-00006.safetensors",
348
+ "model.language_model.layers.37.linear_attn.dt_bias": "model-00003-of-00006.safetensors",
349
+ "model.language_model.layers.33.linear_attn.in_proj_a.weight": "model-00003-of-00006.safetensors",
350
+ "model.language_model.layers.37.linear_attn.in_proj_a.weight": "model-00003-of-00006.safetensors",
351
+ "model.language_model.layers.33.linear_attn.in_proj_b.weight": "model-00003-of-00006.safetensors",
352
+ "model.language_model.layers.37.linear_attn.in_proj_b.weight": "model-00003-of-00006.safetensors",
353
+ "model.language_model.layers.33.linear_attn.in_proj_qkv.weight": "model-00004-of-00006.safetensors",
354
+ "model.language_model.layers.37.linear_attn.in_proj_qkv.weight": "model-00004-of-00006.safetensors",
355
+ "model.language_model.layers.33.linear_attn.in_proj_z.weight": "model-00004-of-00006.safetensors",
356
+ "model.language_model.layers.37.linear_attn.in_proj_z.weight": "model-00004-of-00006.safetensors",
357
+ "model.language_model.layers.33.linear_attn.norm.weight": "model-00004-of-00006.safetensors",
358
+ "model.language_model.layers.37.linear_attn.norm.weight": "model-00004-of-00006.safetensors",
359
+ "model.language_model.layers.33.linear_attn.out_proj.weight": "model-00004-of-00006.safetensors",
360
+ "model.language_model.layers.37.linear_attn.out_proj.weight": "model-00004-of-00006.safetensors",
361
+ "model.language_model.layers.33.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
362
+ "model.language_model.layers.37.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
363
+ "model.language_model.layers.33.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
364
+ "model.language_model.layers.37.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
365
+ "model.language_model.layers.33.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
366
+ "model.language_model.layers.37.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
367
+ "model.language_model.layers.33.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
368
+ "model.language_model.layers.37.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
369
+ "model.language_model.layers.34.input_layernorm.weight": "model-00004-of-00006.safetensors",
370
+ "model.language_model.layers.38.input_layernorm.weight": "model-00004-of-00006.safetensors",
371
+ "model.language_model.layers.34.linear_attn.A_log": "model-00004-of-00006.safetensors",
372
+ "model.language_model.layers.38.linear_attn.A_log": "model-00004-of-00006.safetensors",
373
+ "model.language_model.layers.34.linear_attn.conv1d.weight": "model-00004-of-00006.safetensors",
374
+ "model.language_model.layers.38.linear_attn.conv1d.weight": "model-00004-of-00006.safetensors",
375
+ "model.language_model.layers.34.linear_attn.dt_bias": "model-00004-of-00006.safetensors",
376
+ "model.language_model.layers.38.linear_attn.dt_bias": "model-00004-of-00006.safetensors",
377
+ "model.language_model.layers.34.linear_attn.in_proj_a.weight": "model-00004-of-00006.safetensors",
378
+ "model.language_model.layers.38.linear_attn.in_proj_a.weight": "model-00004-of-00006.safetensors",
379
+ "model.language_model.layers.34.linear_attn.in_proj_b.weight": "model-00004-of-00006.safetensors",
380
+ "model.language_model.layers.38.linear_attn.in_proj_b.weight": "model-00004-of-00006.safetensors",
381
+ "model.language_model.layers.34.linear_attn.in_proj_qkv.weight": "model-00004-of-00006.safetensors",
382
+ "model.language_model.layers.38.linear_attn.in_proj_qkv.weight": "model-00004-of-00006.safetensors",
383
+ "model.language_model.layers.34.linear_attn.in_proj_z.weight": "model-00004-of-00006.safetensors",
384
+ "model.language_model.layers.38.linear_attn.in_proj_z.weight": "model-00004-of-00006.safetensors",
385
+ "model.language_model.layers.34.linear_attn.norm.weight": "model-00004-of-00006.safetensors",
386
+ "model.language_model.layers.38.linear_attn.norm.weight": "model-00004-of-00006.safetensors",
387
+ "model.language_model.layers.34.linear_attn.out_proj.weight": "model-00004-of-00006.safetensors",
388
+ "model.language_model.layers.38.linear_attn.out_proj.weight": "model-00004-of-00006.safetensors",
389
+ "model.language_model.layers.34.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
390
+ "model.language_model.layers.38.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
391
+ "model.language_model.layers.34.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
392
+ "model.language_model.layers.38.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
393
+ "model.language_model.layers.34.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
394
+ "model.language_model.layers.38.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
395
+ "model.language_model.layers.34.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
396
+ "model.language_model.layers.38.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
397
+ "model.language_model.layers.35.input_layernorm.weight": "model-00004-of-00006.safetensors",
398
+ "model.language_model.layers.39.input_layernorm.weight": "model-00004-of-00006.safetensors",
399
+ "model.language_model.layers.35.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
400
+ "model.language_model.layers.39.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
401
+ "model.language_model.layers.35.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
402
+ "model.language_model.layers.39.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
403
+ "model.language_model.layers.35.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
404
+ "model.language_model.layers.39.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
405
+ "model.language_model.layers.35.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
406
+ "model.language_model.layers.39.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
407
+ "model.language_model.layers.35.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
408
+ "model.language_model.layers.39.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
409
+ "model.language_model.layers.35.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
410
+ "model.language_model.layers.39.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
411
+ "model.language_model.layers.35.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
412
+ "model.language_model.layers.39.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
413
+ "model.language_model.layers.35.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
414
+ "model.language_model.layers.39.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
415
+ "model.language_model.layers.35.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
416
+ "model.language_model.layers.39.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
417
+ "model.language_model.layers.35.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
418
+ "model.language_model.layers.39.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
419
+ "model.language_model.layers.40.input_layernorm.weight": "model-00004-of-00006.safetensors",
420
+ "model.language_model.layers.40.linear_attn.A_log": "model-00004-of-00006.safetensors",
421
+ "model.language_model.layers.40.linear_attn.conv1d.weight": "model-00004-of-00006.safetensors",
422
+ "model.language_model.layers.40.linear_attn.dt_bias": "model-00004-of-00006.safetensors",
423
+ "model.language_model.layers.40.linear_attn.in_proj_a.weight": "model-00004-of-00006.safetensors",
424
+ "model.language_model.layers.40.linear_attn.in_proj_b.weight": "model-00004-of-00006.safetensors",
425
+ "model.language_model.layers.40.linear_attn.in_proj_qkv.weight": "model-00004-of-00006.safetensors",
426
+ "model.language_model.layers.40.linear_attn.in_proj_z.weight": "model-00004-of-00006.safetensors",
427
+ "model.language_model.layers.40.linear_attn.norm.weight": "model-00004-of-00006.safetensors",
428
+ "model.language_model.layers.40.linear_attn.out_proj.weight": "model-00004-of-00006.safetensors",
429
+ "model.language_model.layers.40.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
430
+ "model.language_model.layers.40.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
431
+ "model.language_model.layers.40.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
432
+ "model.language_model.layers.40.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
433
+ "model.language_model.layers.41.input_layernorm.weight": "model-00004-of-00006.safetensors",
434
+ "model.language_model.layers.41.linear_attn.A_log": "model-00004-of-00006.safetensors",
435
+ "model.language_model.layers.41.linear_attn.conv1d.weight": "model-00004-of-00006.safetensors",
436
+ "model.language_model.layers.41.linear_attn.dt_bias": "model-00004-of-00006.safetensors",
437
+ "model.language_model.layers.41.linear_attn.in_proj_a.weight": "model-00004-of-00006.safetensors",
438
+ "model.language_model.layers.41.linear_attn.in_proj_b.weight": "model-00004-of-00006.safetensors",
439
+ "model.language_model.layers.41.linear_attn.in_proj_qkv.weight": "model-00004-of-00006.safetensors",
440
+ "model.language_model.layers.41.linear_attn.in_proj_z.weight": "model-00004-of-00006.safetensors",
441
+ "model.language_model.layers.41.linear_attn.norm.weight": "model-00004-of-00006.safetensors",
442
+ "model.language_model.layers.41.linear_attn.out_proj.weight": "model-00004-of-00006.safetensors",
443
+ "model.language_model.layers.41.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
444
+ "model.language_model.layers.41.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
445
+ "model.language_model.layers.41.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
446
+ "model.language_model.layers.41.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
447
+ "model.language_model.layers.42.input_layernorm.weight": "model-00004-of-00006.safetensors",
448
+ "model.language_model.layers.42.linear_attn.A_log": "model-00004-of-00006.safetensors",
449
+ "model.language_model.layers.42.linear_attn.conv1d.weight": "model-00004-of-00006.safetensors",
450
+ "model.language_model.layers.42.linear_attn.dt_bias": "model-00004-of-00006.safetensors",
451
+ "model.language_model.layers.42.linear_attn.in_proj_a.weight": "model-00004-of-00006.safetensors",
452
+ "model.language_model.layers.42.linear_attn.in_proj_b.weight": "model-00004-of-00006.safetensors",
453
+ "model.language_model.layers.42.linear_attn.in_proj_qkv.weight": "model-00004-of-00006.safetensors",
454
+ "model.language_model.layers.42.linear_attn.in_proj_z.weight": "model-00004-of-00006.safetensors",
455
+ "model.language_model.layers.42.linear_attn.norm.weight": "model-00004-of-00006.safetensors",
456
+ "model.language_model.layers.42.linear_attn.out_proj.weight": "model-00004-of-00006.safetensors",
457
+ "model.language_model.layers.42.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
458
+ "model.language_model.layers.42.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
459
+ "model.language_model.layers.42.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
460
+ "model.language_model.layers.42.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
461
+ "model.language_model.layers.43.input_layernorm.weight": "model-00004-of-00006.safetensors",
462
+ "model.language_model.layers.43.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
463
+ "model.language_model.layers.43.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
464
+ "model.language_model.layers.43.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
465
+ "model.language_model.layers.43.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
466
+ "model.language_model.layers.43.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
467
+ "model.language_model.layers.43.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
468
+ "model.language_model.layers.43.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
469
+ "model.language_model.layers.43.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
470
+ "model.language_model.layers.43.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
471
+ "model.language_model.layers.43.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
472
+ "model.language_model.layers.44.input_layernorm.weight": "model-00004-of-00006.safetensors",
473
+ "model.language_model.layers.44.linear_attn.A_log": "model-00004-of-00006.safetensors",
474
+ "model.language_model.layers.44.linear_attn.conv1d.weight": "model-00004-of-00006.safetensors",
475
+ "model.language_model.layers.44.linear_attn.dt_bias": "model-00004-of-00006.safetensors",
476
+ "model.language_model.layers.44.linear_attn.in_proj_a.weight": "model-00004-of-00006.safetensors",
477
+ "model.language_model.layers.44.linear_attn.in_proj_b.weight": "model-00004-of-00006.safetensors",
478
+ "model.language_model.layers.44.linear_attn.in_proj_qkv.weight": "model-00004-of-00006.safetensors",
479
+ "model.language_model.layers.44.linear_attn.in_proj_z.weight": "model-00004-of-00006.safetensors",
480
+ "model.language_model.layers.44.linear_attn.norm.weight": "model-00004-of-00006.safetensors",
481
+ "model.language_model.layers.44.linear_attn.out_proj.weight": "model-00004-of-00006.safetensors",
482
+ "model.language_model.layers.44.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
483
+ "model.language_model.layers.44.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
484
+ "model.language_model.layers.44.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
485
+ "model.language_model.layers.44.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
486
+ "model.language_model.layers.45.input_layernorm.weight": "model-00004-of-00006.safetensors",
487
+ "model.language_model.layers.45.linear_attn.A_log": "model-00004-of-00006.safetensors",
488
+ "model.language_model.layers.45.linear_attn.conv1d.weight": "model-00004-of-00006.safetensors",
489
+ "model.language_model.layers.45.linear_attn.dt_bias": "model-00004-of-00006.safetensors",
490
+ "model.language_model.layers.45.linear_attn.in_proj_a.weight": "model-00004-of-00006.safetensors",
491
+ "model.language_model.layers.45.linear_attn.in_proj_b.weight": "model-00004-of-00006.safetensors",
492
+ "model.language_model.layers.45.linear_attn.in_proj_qkv.weight": "model-00004-of-00006.safetensors",
493
+ "model.language_model.layers.45.linear_attn.in_proj_z.weight": "model-00004-of-00006.safetensors",
494
+ "model.language_model.layers.45.linear_attn.norm.weight": "model-00004-of-00006.safetensors",
495
+ "model.language_model.layers.45.linear_attn.out_proj.weight": "model-00004-of-00006.safetensors",
496
+ "model.language_model.layers.45.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
497
+ "model.language_model.layers.45.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
498
+ "model.language_model.layers.45.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
499
+ "model.language_model.layers.45.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
500
+ "model.language_model.layers.3.input_layernorm.weight": "model-00005-of-00006.safetensors",
501
+ "model.language_model.layers.3.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
502
+ "model.language_model.layers.3.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
503
+ "model.language_model.layers.3.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
504
+ "model.language_model.layers.3.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
505
+ "model.language_model.layers.3.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
506
+ "model.language_model.layers.3.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
507
+ "model.language_model.layers.3.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
508
+ "model.language_model.layers.3.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
509
+ "model.language_model.layers.3.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
510
+ "model.language_model.layers.3.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
511
+ "model.language_model.layers.46.input_layernorm.weight": "model-00005-of-00006.safetensors",
512
+ "model.language_model.layers.46.linear_attn.A_log": "model-00005-of-00006.safetensors",
513
+ "model.language_model.layers.46.linear_attn.conv1d.weight": "model-00005-of-00006.safetensors",
514
+ "model.language_model.layers.46.linear_attn.dt_bias": "model-00005-of-00006.safetensors",
515
+ "model.language_model.layers.46.linear_attn.in_proj_a.weight": "model-00005-of-00006.safetensors",
516
+ "model.language_model.layers.46.linear_attn.in_proj_b.weight": "model-00005-of-00006.safetensors",
517
+ "model.language_model.layers.46.linear_attn.in_proj_qkv.weight": "model-00005-of-00006.safetensors",
518
+ "model.language_model.layers.46.linear_attn.in_proj_z.weight": "model-00005-of-00006.safetensors",
519
+ "model.language_model.layers.46.linear_attn.norm.weight": "model-00005-of-00006.safetensors",
520
+ "model.language_model.layers.46.linear_attn.out_proj.weight": "model-00005-of-00006.safetensors",
521
+ "model.language_model.layers.46.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
522
+ "model.language_model.layers.46.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
523
+ "model.language_model.layers.46.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
524
+ "model.language_model.layers.46.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
525
+ "model.language_model.layers.47.input_layernorm.weight": "model-00005-of-00006.safetensors",
526
+ "model.language_model.layers.47.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
527
+ "model.language_model.layers.47.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
528
+ "model.language_model.layers.47.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
529
+ "model.language_model.layers.47.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
530
+ "model.language_model.layers.47.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
531
+ "model.language_model.layers.47.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
532
+ "model.language_model.layers.47.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
533
+ "model.language_model.layers.47.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
534
+ "model.language_model.layers.47.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
535
+ "model.language_model.layers.47.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
536
+ "model.language_model.layers.4.input_layernorm.weight": "model-00005-of-00006.safetensors",
537
+ "model.language_model.layers.4.linear_attn.A_log": "model-00005-of-00006.safetensors",
538
+ "model.language_model.layers.4.linear_attn.conv1d.weight": "model-00005-of-00006.safetensors",
539
+ "model.language_model.layers.4.linear_attn.dt_bias": "model-00005-of-00006.safetensors",
540
+ "model.language_model.layers.4.linear_attn.in_proj_a.weight": "model-00005-of-00006.safetensors",
541
+ "model.language_model.layers.4.linear_attn.in_proj_b.weight": "model-00005-of-00006.safetensors",
542
+ "model.language_model.layers.4.linear_attn.in_proj_qkv.weight": "model-00005-of-00006.safetensors",
543
+ "model.language_model.layers.4.linear_attn.in_proj_z.weight": "model-00005-of-00006.safetensors",
544
+ "model.language_model.layers.4.linear_attn.norm.weight": "model-00005-of-00006.safetensors",
545
+ "model.language_model.layers.4.linear_attn.out_proj.weight": "model-00005-of-00006.safetensors",
546
+ "model.language_model.layers.4.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
547
+ "model.language_model.layers.4.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
548
+ "model.language_model.layers.4.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
549
+ "model.language_model.layers.4.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
550
+ "model.language_model.layers.5.input_layernorm.weight": "model-00005-of-00006.safetensors",
551
+ "model.language_model.layers.5.linear_attn.A_log": "model-00005-of-00006.safetensors",
552
+ "model.language_model.layers.5.linear_attn.conv1d.weight": "model-00005-of-00006.safetensors",
553
+ "model.language_model.layers.5.linear_attn.dt_bias": "model-00005-of-00006.safetensors",
554
+ "model.language_model.layers.5.linear_attn.in_proj_a.weight": "model-00005-of-00006.safetensors",
555
+ "model.language_model.layers.5.linear_attn.in_proj_b.weight": "model-00005-of-00006.safetensors",
556
+ "model.language_model.layers.5.linear_attn.in_proj_qkv.weight": "model-00005-of-00006.safetensors",
557
+ "model.language_model.layers.5.linear_attn.in_proj_z.weight": "model-00005-of-00006.safetensors",
558
+ "model.language_model.layers.5.linear_attn.norm.weight": "model-00005-of-00006.safetensors",
559
+ "model.language_model.layers.5.linear_attn.out_proj.weight": "model-00005-of-00006.safetensors",
560
+ "model.language_model.layers.5.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
561
+ "model.language_model.layers.5.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
562
+ "model.language_model.layers.5.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
563
+ "model.language_model.layers.5.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
564
+ "model.language_model.layers.6.input_layernorm.weight": "model-00005-of-00006.safetensors",
565
+ "model.language_model.layers.6.linear_attn.A_log": "model-00005-of-00006.safetensors",
566
+ "model.language_model.layers.6.linear_attn.conv1d.weight": "model-00005-of-00006.safetensors",
567
+ "model.language_model.layers.6.linear_attn.dt_bias": "model-00005-of-00006.safetensors",
568
+ "model.language_model.layers.6.linear_attn.in_proj_a.weight": "model-00005-of-00006.safetensors",
569
+ "model.language_model.layers.6.linear_attn.in_proj_b.weight": "model-00005-of-00006.safetensors",
570
+ "model.language_model.layers.6.linear_attn.in_proj_qkv.weight": "model-00005-of-00006.safetensors",
571
+ "model.language_model.layers.6.linear_attn.in_proj_z.weight": "model-00005-of-00006.safetensors",
572
+ "model.language_model.layers.6.linear_attn.norm.weight": "model-00005-of-00006.safetensors",
573
+ "model.language_model.layers.6.linear_attn.out_proj.weight": "model-00005-of-00006.safetensors",
574
+ "model.language_model.layers.6.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
575
+ "model.language_model.layers.6.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
576
+ "model.language_model.layers.6.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
577
+ "model.language_model.layers.6.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
578
+ "model.language_model.layers.7.input_layernorm.weight": "model-00005-of-00006.safetensors",
579
+ "model.language_model.layers.7.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
580
+ "model.language_model.layers.7.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
581
+ "model.language_model.layers.7.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
582
+ "model.language_model.layers.7.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
583
+ "model.language_model.layers.7.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
584
+ "model.language_model.layers.7.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
585
+ "model.language_model.layers.7.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
586
+ "model.language_model.layers.7.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
587
+ "model.language_model.layers.7.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
588
+ "model.language_model.layers.7.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
589
+ "model.language_model.layers.8.input_layernorm.weight": "model-00005-of-00006.safetensors",
590
+ "model.language_model.layers.12.input_layernorm.weight": "model-00005-of-00006.safetensors",
591
+ "model.language_model.layers.8.linear_attn.A_log": "model-00005-of-00006.safetensors",
592
+ "model.language_model.layers.12.linear_attn.A_log": "model-00005-of-00006.safetensors",
593
+ "model.language_model.layers.8.linear_attn.conv1d.weight": "model-00005-of-00006.safetensors",
594
+ "model.language_model.layers.12.linear_attn.conv1d.weight": "model-00005-of-00006.safetensors",
595
+ "model.language_model.layers.8.linear_attn.dt_bias": "model-00005-of-00006.safetensors",
596
+ "model.language_model.layers.12.linear_attn.dt_bias": "model-00005-of-00006.safetensors",
597
+ "model.language_model.layers.8.linear_attn.in_proj_a.weight": "model-00005-of-00006.safetensors",
598
+ "model.language_model.layers.12.linear_attn.in_proj_a.weight": "model-00005-of-00006.safetensors",
599
+ "model.language_model.layers.8.linear_attn.in_proj_b.weight": "model-00005-of-00006.safetensors",
600
+ "model.language_model.layers.12.linear_attn.in_proj_b.weight": "model-00005-of-00006.safetensors",
601
+ "model.language_model.layers.8.linear_attn.in_proj_qkv.weight": "model-00005-of-00006.safetensors",
602
+ "model.language_model.layers.12.linear_attn.in_proj_qkv.weight": "model-00005-of-00006.safetensors",
603
+ "model.language_model.layers.8.linear_attn.in_proj_z.weight": "model-00005-of-00006.safetensors",
604
+ "model.language_model.layers.12.linear_attn.in_proj_z.weight": "model-00005-of-00006.safetensors",
605
+ "model.language_model.layers.8.linear_attn.norm.weight": "model-00005-of-00006.safetensors",
606
+ "model.language_model.layers.12.linear_attn.norm.weight": "model-00005-of-00006.safetensors",
607
+ "model.language_model.layers.8.linear_attn.out_proj.weight": "model-00005-of-00006.safetensors",
608
+ "model.language_model.layers.12.linear_attn.out_proj.weight": "model-00005-of-00006.safetensors",
609
+ "model.language_model.layers.8.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
610
+ "model.language_model.layers.12.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
611
+ "model.language_model.layers.8.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
612
+ "model.language_model.layers.12.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
613
+ "model.language_model.layers.8.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
614
+ "model.language_model.layers.12.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
615
+ "model.language_model.layers.8.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
616
+ "model.language_model.layers.12.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
617
+ "model.language_model.layers.9.input_layernorm.weight": "model-00005-of-00006.safetensors",
618
+ "model.language_model.layers.13.input_layernorm.weight": "model-00005-of-00006.safetensors",
619
+ "model.language_model.layers.9.linear_attn.A_log": "model-00005-of-00006.safetensors",
620
+ "model.language_model.layers.13.linear_attn.A_log": "model-00005-of-00006.safetensors",
621
+ "model.language_model.layers.9.linear_attn.conv1d.weight": "model-00005-of-00006.safetensors",
622
+ "model.language_model.layers.13.linear_attn.conv1d.weight": "model-00005-of-00006.safetensors",
623
+ "model.language_model.layers.9.linear_attn.dt_bias": "model-00005-of-00006.safetensors",
624
+ "model.language_model.layers.13.linear_attn.dt_bias": "model-00005-of-00006.safetensors",
625
+ "model.language_model.layers.9.linear_attn.in_proj_a.weight": "model-00005-of-00006.safetensors",
626
+ "model.language_model.layers.13.linear_attn.in_proj_a.weight": "model-00005-of-00006.safetensors",
627
+ "model.language_model.layers.9.linear_attn.in_proj_b.weight": "model-00005-of-00006.safetensors",
628
+ "model.language_model.layers.13.linear_attn.in_proj_b.weight": "model-00005-of-00006.safetensors",
629
+ "model.language_model.layers.9.linear_attn.in_proj_qkv.weight": "model-00005-of-00006.safetensors",
630
+ "model.language_model.layers.13.linear_attn.in_proj_qkv.weight": "model-00005-of-00006.safetensors",
631
+ "model.language_model.layers.9.linear_attn.in_proj_z.weight": "model-00005-of-00006.safetensors",
632
+ "model.language_model.layers.13.linear_attn.in_proj_z.weight": "model-00005-of-00006.safetensors",
633
+ "model.language_model.layers.9.linear_attn.norm.weight": "model-00005-of-00006.safetensors",
634
+ "model.language_model.layers.13.linear_attn.norm.weight": "model-00005-of-00006.safetensors",
635
+ "model.language_model.layers.9.linear_attn.out_proj.weight": "model-00005-of-00006.safetensors",
636
+ "model.language_model.layers.13.linear_attn.out_proj.weight": "model-00005-of-00006.safetensors",
637
+ "model.language_model.layers.9.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
638
+ "model.language_model.layers.13.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
639
+ "model.language_model.layers.9.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
640
+ "model.language_model.layers.13.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
641
+ "model.language_model.layers.9.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
642
+ "model.language_model.layers.13.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
643
+ "model.language_model.layers.9.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
644
+ "model.language_model.layers.13.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
645
+ "model.language_model.norm.weight": "model-00005-of-00006.safetensors",
646
+ "model.visual.blocks.0.attn.proj.bias": "model-00005-of-00006.safetensors",
647
+ "model.visual.blocks.0.attn.proj.weight": "model-00005-of-00006.safetensors",
648
+ "model.visual.blocks.0.attn.qkv.bias": "model-00005-of-00006.safetensors",
649
+ "model.visual.blocks.0.attn.qkv.weight": "model-00005-of-00006.safetensors",
650
+ "model.visual.blocks.0.mlp.linear_fc1.bias": "model-00005-of-00006.safetensors",
651
+ "model.visual.blocks.0.mlp.linear_fc1.weight": "model-00005-of-00006.safetensors",
652
+ "model.visual.blocks.0.mlp.linear_fc2.bias": "model-00005-of-00006.safetensors",
653
+ "model.visual.blocks.0.mlp.linear_fc2.weight": "model-00005-of-00006.safetensors",
654
+ "model.visual.blocks.0.norm1.bias": "model-00005-of-00006.safetensors",
655
+ "model.visual.blocks.0.norm1.weight": "model-00005-of-00006.safetensors",
656
+ "model.visual.blocks.0.norm2.bias": "model-00005-of-00006.safetensors",
657
+ "model.visual.blocks.0.norm2.weight": "model-00005-of-00006.safetensors",
658
+ "model.visual.blocks.1.attn.proj.bias": "model-00005-of-00006.safetensors",
659
+ "model.visual.blocks.1.attn.proj.weight": "model-00005-of-00006.safetensors",
660
+ "model.visual.blocks.1.attn.qkv.bias": "model-00005-of-00006.safetensors",
661
+ "model.visual.blocks.1.attn.qkv.weight": "model-00005-of-00006.safetensors",
662
+ "model.visual.blocks.1.mlp.linear_fc1.bias": "model-00005-of-00006.safetensors",
663
+ "model.visual.blocks.1.mlp.linear_fc1.weight": "model-00006-of-00006.safetensors",
664
+ "model.visual.blocks.1.mlp.linear_fc2.bias": "model-00006-of-00006.safetensors",
665
+ "model.visual.blocks.1.mlp.linear_fc2.weight": "model-00006-of-00006.safetensors",
666
+ "model.visual.blocks.1.norm1.bias": "model-00006-of-00006.safetensors",
667
+ "model.visual.blocks.1.norm1.weight": "model-00006-of-00006.safetensors",
668
+ "model.visual.blocks.1.norm2.bias": "model-00006-of-00006.safetensors",
669
+ "model.visual.blocks.1.norm2.weight": "model-00006-of-00006.safetensors",
670
+ "model.visual.blocks.10.attn.proj.bias": "model-00006-of-00006.safetensors",
671
+ "model.visual.blocks.10.attn.proj.weight": "model-00006-of-00006.safetensors",
672
+ "model.visual.blocks.10.attn.qkv.bias": "model-00006-of-00006.safetensors",
673
+ "model.visual.blocks.10.attn.qkv.weight": "model-00006-of-00006.safetensors",
674
+ "model.visual.blocks.10.mlp.linear_fc1.bias": "model-00006-of-00006.safetensors",
675
+ "model.visual.blocks.10.mlp.linear_fc1.weight": "model-00006-of-00006.safetensors",
676
+ "model.visual.blocks.10.mlp.linear_fc2.bias": "model-00006-of-00006.safetensors",
677
+ "model.visual.blocks.10.mlp.linear_fc2.weight": "model-00006-of-00006.safetensors",
678
+ "model.visual.blocks.10.norm1.bias": "model-00006-of-00006.safetensors",
679
+ "model.visual.blocks.10.norm1.weight": "model-00006-of-00006.safetensors",
680
+ "model.visual.blocks.10.norm2.bias": "model-00006-of-00006.safetensors",
681
+ "model.visual.blocks.10.norm2.weight": "model-00006-of-00006.safetensors",
682
+ "model.visual.blocks.11.attn.proj.bias": "model-00006-of-00006.safetensors",
683
+ "model.visual.blocks.11.attn.proj.weight": "model-00006-of-00006.safetensors",
684
+ "model.visual.blocks.11.attn.qkv.bias": "model-00006-of-00006.safetensors",
685
+ "model.visual.blocks.11.attn.qkv.weight": "model-00006-of-00006.safetensors",
686
+ "model.visual.blocks.11.mlp.linear_fc1.bias": "model-00006-of-00006.safetensors",
687
+ "model.visual.blocks.11.mlp.linear_fc1.weight": "model-00006-of-00006.safetensors",
688
+ "model.visual.blocks.11.mlp.linear_fc2.bias": "model-00006-of-00006.safetensors",
689
+ "model.visual.blocks.11.mlp.linear_fc2.weight": "model-00006-of-00006.safetensors",
690
+ "model.visual.blocks.11.norm1.bias": "model-00006-of-00006.safetensors",
691
+ "model.visual.blocks.11.norm1.weight": "model-00006-of-00006.safetensors",
692
+ "model.visual.blocks.11.norm2.bias": "model-00006-of-00006.safetensors",
693
+ "model.visual.blocks.11.norm2.weight": "model-00006-of-00006.safetensors",
694
+ "model.visual.blocks.12.attn.proj.bias": "model-00006-of-00006.safetensors",
695
+ "model.visual.blocks.12.attn.proj.weight": "model-00006-of-00006.safetensors",
696
+ "model.visual.blocks.12.attn.qkv.bias": "model-00006-of-00006.safetensors",
697
+ "model.visual.blocks.12.attn.qkv.weight": "model-00006-of-00006.safetensors",
698
+ "model.visual.blocks.12.mlp.linear_fc1.bias": "model-00006-of-00006.safetensors",
699
+ "model.visual.blocks.12.mlp.linear_fc1.weight": "model-00006-of-00006.safetensors",
700
+ "model.visual.blocks.12.mlp.linear_fc2.bias": "model-00006-of-00006.safetensors",
701
+ "model.visual.blocks.12.mlp.linear_fc2.weight": "model-00006-of-00006.safetensors",
702
+ "model.visual.blocks.12.norm1.bias": "model-00006-of-00006.safetensors",
703
+ "model.visual.blocks.12.norm1.weight": "model-00006-of-00006.safetensors",
704
+ "model.visual.blocks.12.norm2.bias": "model-00006-of-00006.safetensors",
705
+ "model.visual.blocks.12.norm2.weight": "model-00006-of-00006.safetensors",
706
+ "model.visual.blocks.13.attn.proj.bias": "model-00006-of-00006.safetensors",
707
+ "model.visual.blocks.13.attn.proj.weight": "model-00006-of-00006.safetensors",
708
+ "model.visual.blocks.13.attn.qkv.bias": "model-00006-of-00006.safetensors",
709
+ "model.visual.blocks.13.attn.qkv.weight": "model-00006-of-00006.safetensors",
710
+ "model.visual.blocks.13.mlp.linear_fc1.bias": "model-00006-of-00006.safetensors",
711
+ "model.visual.blocks.13.mlp.linear_fc1.weight": "model-00006-of-00006.safetensors",
712
+ "model.visual.blocks.13.mlp.linear_fc2.bias": "model-00006-of-00006.safetensors",
713
+ "model.visual.blocks.13.mlp.linear_fc2.weight": "model-00006-of-00006.safetensors",
714
+ "model.visual.blocks.13.norm1.bias": "model-00006-of-00006.safetensors",
715
+ "model.visual.blocks.13.norm1.weight": "model-00006-of-00006.safetensors",
716
+ "model.visual.blocks.13.norm2.bias": "model-00006-of-00006.safetensors",
717
+ "model.visual.blocks.13.norm2.weight": "model-00006-of-00006.safetensors",
718
+ "model.visual.blocks.14.attn.proj.bias": "model-00006-of-00006.safetensors",
719
+ "model.visual.blocks.14.attn.proj.weight": "model-00006-of-00006.safetensors",
720
+ "model.visual.blocks.14.attn.qkv.bias": "model-00006-of-00006.safetensors",
721
+ "model.visual.blocks.14.attn.qkv.weight": "model-00006-of-00006.safetensors",
722
+ "model.visual.blocks.14.mlp.linear_fc1.bias": "model-00006-of-00006.safetensors",
723
+ "model.visual.blocks.14.mlp.linear_fc1.weight": "model-00006-of-00006.safetensors",
724
+ "model.visual.blocks.14.mlp.linear_fc2.bias": "model-00006-of-00006.safetensors",
725
+ "model.visual.blocks.14.mlp.linear_fc2.weight": "model-00006-of-00006.safetensors",
726
+ "model.visual.blocks.14.norm1.bias": "model-00006-of-00006.safetensors",
727
+ "model.visual.blocks.14.norm1.weight": "model-00006-of-00006.safetensors",
728
+ "model.visual.blocks.14.norm2.bias": "model-00006-of-00006.safetensors",
729
+ "model.visual.blocks.14.norm2.weight": "model-00006-of-00006.safetensors",
730
+ "model.visual.blocks.15.attn.proj.bias": "model-00006-of-00006.safetensors",
731
+ "model.visual.blocks.15.attn.proj.weight": "model-00006-of-00006.safetensors",
732
+ "model.visual.blocks.15.attn.qkv.bias": "model-00006-of-00006.safetensors",
733
+ "model.visual.blocks.15.attn.qkv.weight": "model-00006-of-00006.safetensors",
734
+ "model.visual.blocks.15.mlp.linear_fc1.bias": "model-00006-of-00006.safetensors",
735
+ "model.visual.blocks.15.mlp.linear_fc1.weight": "model-00006-of-00006.safetensors",
736
+ "model.visual.blocks.15.mlp.linear_fc2.bias": "model-00006-of-00006.safetensors",
737
+ "model.visual.blocks.15.mlp.linear_fc2.weight": "model-00006-of-00006.safetensors",
738
+ "model.visual.blocks.15.norm1.bias": "model-00006-of-00006.safetensors",
739
+ "model.visual.blocks.15.norm1.weight": "model-00006-of-00006.safetensors",
740
+ "model.visual.blocks.15.norm2.bias": "model-00006-of-00006.safetensors",
741
+ "model.visual.blocks.15.norm2.weight": "model-00006-of-00006.safetensors",
742
+ "model.visual.blocks.16.attn.proj.bias": "model-00006-of-00006.safetensors",
743
+ "model.visual.blocks.16.attn.proj.weight": "model-00006-of-00006.safetensors",
744
+ "model.visual.blocks.16.attn.qkv.bias": "model-00006-of-00006.safetensors",
745
+ "model.visual.blocks.16.attn.qkv.weight": "model-00006-of-00006.safetensors",
746
+ "model.visual.blocks.16.mlp.linear_fc1.bias": "model-00006-of-00006.safetensors",
747
+ "model.visual.blocks.16.mlp.linear_fc1.weight": "model-00006-of-00006.safetensors",
748
+ "model.visual.blocks.16.mlp.linear_fc2.bias": "model-00006-of-00006.safetensors",
749
+ "model.visual.blocks.16.mlp.linear_fc2.weight": "model-00006-of-00006.safetensors",
750
+ "model.visual.blocks.16.norm1.bias": "model-00006-of-00006.safetensors",
751
+ "model.visual.blocks.16.norm1.weight": "model-00006-of-00006.safetensors",
752
+ "model.visual.blocks.16.norm2.bias": "model-00006-of-00006.safetensors",
753
+ "model.visual.blocks.16.norm2.weight": "model-00006-of-00006.safetensors",
754
+ "model.visual.blocks.17.attn.proj.bias": "model-00006-of-00006.safetensors",
755
+ "model.visual.blocks.17.attn.proj.weight": "model-00006-of-00006.safetensors",
756
+ "model.visual.blocks.17.attn.qkv.bias": "model-00006-of-00006.safetensors",
757
+ "model.visual.blocks.17.attn.qkv.weight": "model-00006-of-00006.safetensors",
758
+ "model.visual.blocks.17.mlp.linear_fc1.bias": "model-00006-of-00006.safetensors",
759
+ "model.visual.blocks.17.mlp.linear_fc1.weight": "model-00006-of-00006.safetensors",
760
+ "model.visual.blocks.17.mlp.linear_fc2.bias": "model-00006-of-00006.safetensors",
761
+ "model.visual.blocks.17.mlp.linear_fc2.weight": "model-00006-of-00006.safetensors",
762
+ "model.visual.blocks.17.norm1.bias": "model-00006-of-00006.safetensors",
763
+ "model.visual.blocks.17.norm1.weight": "model-00006-of-00006.safetensors",
764
+ "model.visual.blocks.17.norm2.bias": "model-00006-of-00006.safetensors",
765
+ "model.visual.blocks.17.norm2.weight": "model-00006-of-00006.safetensors",
766
+ "model.visual.blocks.18.attn.proj.bias": "model-00006-of-00006.safetensors",
767
+ "model.visual.blocks.18.attn.proj.weight": "model-00006-of-00006.safetensors",
768
+ "model.visual.blocks.18.attn.qkv.bias": "model-00006-of-00006.safetensors",
769
+ "model.visual.blocks.18.attn.qkv.weight": "model-00006-of-00006.safetensors",
770
+ "model.visual.blocks.18.mlp.linear_fc1.bias": "model-00006-of-00006.safetensors",
771
+ "model.visual.blocks.18.mlp.linear_fc1.weight": "model-00006-of-00006.safetensors",
772
+ "model.visual.blocks.18.mlp.linear_fc2.bias": "model-00006-of-00006.safetensors",
773
+ "model.visual.blocks.18.mlp.linear_fc2.weight": "model-00006-of-00006.safetensors",
774
+ "model.visual.blocks.18.norm1.bias": "model-00006-of-00006.safetensors",
775
+ "model.visual.blocks.18.norm1.weight": "model-00006-of-00006.safetensors",
776
+ "model.visual.blocks.18.norm2.bias": "model-00006-of-00006.safetensors",
777
+ "model.visual.blocks.18.norm2.weight": "model-00006-of-00006.safetensors",
778
+ "model.visual.blocks.19.attn.proj.bias": "model-00006-of-00006.safetensors",
779
+ "model.visual.blocks.19.attn.proj.weight": "model-00006-of-00006.safetensors",
780
+ "model.visual.blocks.19.attn.qkv.bias": "model-00006-of-00006.safetensors",
781
+ "model.visual.blocks.19.attn.qkv.weight": "model-00006-of-00006.safetensors",
782
+ "model.visual.blocks.19.mlp.linear_fc1.bias": "model-00006-of-00006.safetensors",
783
+ "model.visual.blocks.19.mlp.linear_fc1.weight": "model-00006-of-00006.safetensors",
784
+ "model.visual.blocks.19.mlp.linear_fc2.bias": "model-00006-of-00006.safetensors",
785
+ "model.visual.blocks.19.mlp.linear_fc2.weight": "model-00006-of-00006.safetensors",
786
+ "model.visual.blocks.19.norm1.bias": "model-00006-of-00006.safetensors",
787
+ "model.visual.blocks.19.norm1.weight": "model-00006-of-00006.safetensors",
788
+ "model.visual.blocks.19.norm2.bias": "model-00006-of-00006.safetensors",
789
+ "model.visual.blocks.19.norm2.weight": "model-00006-of-00006.safetensors",
790
+ "model.visual.blocks.2.attn.proj.bias": "model-00006-of-00006.safetensors",
791
+ "model.visual.blocks.2.attn.proj.weight": "model-00006-of-00006.safetensors",
792
+ "model.visual.blocks.2.attn.qkv.bias": "model-00006-of-00006.safetensors",
793
+ "model.visual.blocks.2.attn.qkv.weight": "model-00006-of-00006.safetensors",
794
+ "model.visual.blocks.2.mlp.linear_fc1.bias": "model-00006-of-00006.safetensors",
795
+ "model.visual.blocks.2.mlp.linear_fc1.weight": "model-00006-of-00006.safetensors",
796
+ "model.visual.blocks.2.mlp.linear_fc2.bias": "model-00006-of-00006.safetensors",
797
+ "model.visual.blocks.2.mlp.linear_fc2.weight": "model-00006-of-00006.safetensors",
798
+ "model.visual.blocks.2.norm1.bias": "model-00006-of-00006.safetensors",
799
+ "model.visual.blocks.2.norm1.weight": "model-00006-of-00006.safetensors",
800
+ "model.visual.blocks.2.norm2.bias": "model-00006-of-00006.safetensors",
801
+ "model.visual.blocks.2.norm2.weight": "model-00006-of-00006.safetensors",
802
+ "model.visual.blocks.20.attn.proj.bias": "model-00006-of-00006.safetensors",
803
+ "model.visual.blocks.20.attn.proj.weight": "model-00006-of-00006.safetensors",
804
+ "model.visual.blocks.20.attn.qkv.bias": "model-00006-of-00006.safetensors",
805
+ "model.visual.blocks.20.attn.qkv.weight": "model-00006-of-00006.safetensors",
806
+ "model.visual.blocks.20.mlp.linear_fc1.bias": "model-00006-of-00006.safetensors",
807
+ "model.visual.blocks.20.mlp.linear_fc1.weight": "model-00006-of-00006.safetensors",
808
+ "model.visual.blocks.20.mlp.linear_fc2.bias": "model-00006-of-00006.safetensors",
809
+ "model.visual.blocks.20.mlp.linear_fc2.weight": "model-00006-of-00006.safetensors",
810
+ "model.visual.blocks.20.norm1.bias": "model-00006-of-00006.safetensors",
811
+ "model.visual.blocks.20.norm1.weight": "model-00006-of-00006.safetensors",
812
+ "model.visual.blocks.20.norm2.bias": "model-00006-of-00006.safetensors",
813
+ "model.visual.blocks.20.norm2.weight": "model-00006-of-00006.safetensors",
814
+ "model.visual.blocks.21.attn.proj.bias": "model-00006-of-00006.safetensors",
815
+ "model.visual.blocks.21.attn.proj.weight": "model-00006-of-00006.safetensors",
816
+ "model.visual.blocks.21.attn.qkv.bias": "model-00006-of-00006.safetensors",
817
+ "model.visual.blocks.21.attn.qkv.weight": "model-00006-of-00006.safetensors",
818
+ "model.visual.blocks.21.mlp.linear_fc1.bias": "model-00006-of-00006.safetensors",
819
+ "model.visual.blocks.21.mlp.linear_fc1.weight": "model-00006-of-00006.safetensors",
820
+ "model.visual.blocks.21.mlp.linear_fc2.bias": "model-00006-of-00006.safetensors",
821
+ "model.visual.blocks.21.mlp.linear_fc2.weight": "model-00006-of-00006.safetensors",
822
+ "model.visual.blocks.21.norm1.bias": "model-00006-of-00006.safetensors",
823
+ "model.visual.blocks.21.norm1.weight": "model-00006-of-00006.safetensors",
824
+ "model.visual.blocks.21.norm2.bias": "model-00006-of-00006.safetensors",
825
+ "model.visual.blocks.21.norm2.weight": "model-00006-of-00006.safetensors",
826
+ "model.visual.blocks.22.attn.proj.bias": "model-00006-of-00006.safetensors",
827
+ "model.visual.blocks.22.attn.proj.weight": "model-00006-of-00006.safetensors",
828
+ "model.visual.blocks.22.attn.qkv.bias": "model-00006-of-00006.safetensors",
829
+ "model.visual.blocks.22.attn.qkv.weight": "model-00006-of-00006.safetensors",
830
+ "model.visual.blocks.22.mlp.linear_fc1.bias": "model-00006-of-00006.safetensors",
831
+ "model.visual.blocks.22.mlp.linear_fc1.weight": "model-00006-of-00006.safetensors",
832
+ "model.visual.blocks.22.mlp.linear_fc2.bias": "model-00006-of-00006.safetensors",
833
+ "model.visual.blocks.22.mlp.linear_fc2.weight": "model-00006-of-00006.safetensors",
834
+ "model.visual.blocks.22.norm1.bias": "model-00006-of-00006.safetensors",
835
+ "model.visual.blocks.22.norm1.weight": "model-00006-of-00006.safetensors",
836
+ "model.visual.blocks.22.norm2.bias": "model-00006-of-00006.safetensors",
837
+ "model.visual.blocks.22.norm2.weight": "model-00006-of-00006.safetensors",
838
+ "model.visual.blocks.23.attn.proj.bias": "model-00006-of-00006.safetensors",
839
+ "model.visual.blocks.23.attn.proj.weight": "model-00006-of-00006.safetensors",
840
+ "model.visual.blocks.23.attn.qkv.bias": "model-00006-of-00006.safetensors",
841
+ "model.visual.blocks.23.attn.qkv.weight": "model-00006-of-00006.safetensors",
842
+ "model.visual.blocks.23.mlp.linear_fc1.bias": "model-00006-of-00006.safetensors",
843
+ "model.visual.blocks.23.mlp.linear_fc1.weight": "model-00006-of-00006.safetensors",
844
+ "model.visual.blocks.23.mlp.linear_fc2.bias": "model-00006-of-00006.safetensors",
845
+ "model.visual.blocks.23.mlp.linear_fc2.weight": "model-00006-of-00006.safetensors",
846
+ "model.visual.blocks.23.norm1.bias": "model-00006-of-00006.safetensors",
847
+ "model.visual.blocks.23.norm1.weight": "model-00006-of-00006.safetensors",
848
+ "model.visual.blocks.23.norm2.bias": "model-00006-of-00006.safetensors",
849
+ "model.visual.blocks.23.norm2.weight": "model-00006-of-00006.safetensors",
850
+ "model.visual.blocks.24.attn.proj.bias": "model-00006-of-00006.safetensors",
851
+ "model.visual.blocks.24.attn.proj.weight": "model-00006-of-00006.safetensors",
852
+ "model.visual.blocks.24.attn.qkv.bias": "model-00006-of-00006.safetensors",
853
+ "model.visual.blocks.24.attn.qkv.weight": "model-00006-of-00006.safetensors",
854
+ "model.visual.blocks.24.mlp.linear_fc1.bias": "model-00006-of-00006.safetensors",
855
+ "model.visual.blocks.24.mlp.linear_fc1.weight": "model-00006-of-00006.safetensors",
856
+ "model.visual.blocks.24.mlp.linear_fc2.bias": "model-00006-of-00006.safetensors",
857
+ "model.visual.blocks.24.mlp.linear_fc2.weight": "model-00006-of-00006.safetensors",
858
+ "model.visual.blocks.24.norm1.bias": "model-00006-of-00006.safetensors",
859
+ "model.visual.blocks.24.norm1.weight": "model-00006-of-00006.safetensors",
860
+ "model.visual.blocks.24.norm2.bias": "model-00006-of-00006.safetensors",
861
+ "model.visual.blocks.24.norm2.weight": "model-00006-of-00006.safetensors",
862
+ "model.visual.blocks.25.attn.proj.bias": "model-00006-of-00006.safetensors",
863
+ "model.visual.blocks.25.attn.proj.weight": "model-00006-of-00006.safetensors",
864
+ "model.visual.blocks.25.attn.qkv.bias": "model-00006-of-00006.safetensors",
865
+ "model.visual.blocks.25.attn.qkv.weight": "model-00006-of-00006.safetensors",
866
+ "model.visual.blocks.25.mlp.linear_fc1.bias": "model-00006-of-00006.safetensors",
867
+ "model.visual.blocks.25.mlp.linear_fc1.weight": "model-00006-of-00006.safetensors",
868
+ "model.visual.blocks.25.mlp.linear_fc2.bias": "model-00006-of-00006.safetensors",
869
+ "model.visual.blocks.25.mlp.linear_fc2.weight": "model-00006-of-00006.safetensors",
870
+ "model.visual.blocks.25.norm1.bias": "model-00006-of-00006.safetensors",
871
+ "model.visual.blocks.25.norm1.weight": "model-00006-of-00006.safetensors",
872
+ "model.visual.blocks.25.norm2.bias": "model-00006-of-00006.safetensors",
873
+ "model.visual.blocks.25.norm2.weight": "model-00006-of-00006.safetensors",
874
+ "model.visual.blocks.26.attn.proj.bias": "model-00006-of-00006.safetensors",
875
+ "model.visual.blocks.26.attn.proj.weight": "model-00006-of-00006.safetensors",
876
+ "model.visual.blocks.26.attn.qkv.bias": "model-00006-of-00006.safetensors",
877
+ "model.visual.blocks.26.attn.qkv.weight": "model-00006-of-00006.safetensors",
878
+ "model.visual.blocks.26.mlp.linear_fc1.bias": "model-00006-of-00006.safetensors",
879
+ "model.visual.blocks.26.mlp.linear_fc1.weight": "model-00006-of-00006.safetensors",
880
+ "model.visual.blocks.26.mlp.linear_fc2.bias": "model-00006-of-00006.safetensors",
881
+ "model.visual.blocks.26.mlp.linear_fc2.weight": "model-00006-of-00006.safetensors",
882
+ "model.visual.blocks.26.norm1.bias": "model-00006-of-00006.safetensors",
883
+ "model.visual.blocks.26.norm1.weight": "model-00006-of-00006.safetensors",
884
+ "model.visual.blocks.26.norm2.bias": "model-00006-of-00006.safetensors",
885
+ "model.visual.blocks.26.norm2.weight": "model-00006-of-00006.safetensors",
886
+ "model.visual.blocks.3.attn.proj.bias": "model-00006-of-00006.safetensors",
887
+ "model.visual.blocks.3.attn.proj.weight": "model-00006-of-00006.safetensors",
888
+ "model.visual.blocks.3.attn.qkv.bias": "model-00006-of-00006.safetensors",
889
+ "model.visual.blocks.3.attn.qkv.weight": "model-00006-of-00006.safetensors",
890
+ "model.visual.blocks.3.mlp.linear_fc1.bias": "model-00006-of-00006.safetensors",
891
+ "model.visual.blocks.3.mlp.linear_fc1.weight": "model-00006-of-00006.safetensors",
892
+ "model.visual.blocks.3.mlp.linear_fc2.bias": "model-00006-of-00006.safetensors",
893
+ "model.visual.blocks.3.mlp.linear_fc2.weight": "model-00006-of-00006.safetensors",
894
+ "model.visual.blocks.3.norm1.bias": "model-00006-of-00006.safetensors",
895
+ "model.visual.blocks.3.norm1.weight": "model-00006-of-00006.safetensors",
896
+ "model.visual.blocks.3.norm2.bias": "model-00006-of-00006.safetensors",
897
+ "model.visual.blocks.3.norm2.weight": "model-00006-of-00006.safetensors",
898
+ "model.visual.blocks.4.attn.proj.bias": "model-00006-of-00006.safetensors",
899
+ "model.visual.blocks.4.attn.proj.weight": "model-00006-of-00006.safetensors",
900
+ "model.visual.blocks.4.attn.qkv.bias": "model-00006-of-00006.safetensors",
901
+ "model.visual.blocks.4.attn.qkv.weight": "model-00006-of-00006.safetensors",
902
+ "model.visual.blocks.4.mlp.linear_fc1.bias": "model-00006-of-00006.safetensors",
903
+ "model.visual.blocks.4.mlp.linear_fc1.weight": "model-00006-of-00006.safetensors",
904
+ "model.visual.blocks.4.mlp.linear_fc2.bias": "model-00006-of-00006.safetensors",
905
+ "model.visual.blocks.4.mlp.linear_fc2.weight": "model-00006-of-00006.safetensors",
906
+ "model.visual.blocks.4.norm1.bias": "model-00006-of-00006.safetensors",
907
+ "model.visual.blocks.4.norm1.weight": "model-00006-of-00006.safetensors",
908
+ "model.visual.blocks.4.norm2.bias": "model-00006-of-00006.safetensors",
909
+ "model.visual.blocks.4.norm2.weight": "model-00006-of-00006.safetensors",
910
+ "model.visual.blocks.5.attn.proj.bias": "model-00006-of-00006.safetensors",
911
+ "model.visual.blocks.5.attn.proj.weight": "model-00006-of-00006.safetensors",
912
+ "model.visual.blocks.5.attn.qkv.bias": "model-00006-of-00006.safetensors",
913
+ "model.visual.blocks.5.attn.qkv.weight": "model-00006-of-00006.safetensors",
914
+ "model.visual.blocks.5.mlp.linear_fc1.bias": "model-00006-of-00006.safetensors",
915
+ "model.visual.blocks.5.mlp.linear_fc1.weight": "model-00006-of-00006.safetensors",
916
+ "model.visual.blocks.5.mlp.linear_fc2.bias": "model-00006-of-00006.safetensors",
917
+ "model.visual.blocks.5.mlp.linear_fc2.weight": "model-00006-of-00006.safetensors",
918
+ "model.visual.blocks.5.norm1.bias": "model-00006-of-00006.safetensors",
919
+ "model.visual.blocks.5.norm1.weight": "model-00006-of-00006.safetensors",
920
+ "model.visual.blocks.5.norm2.bias": "model-00006-of-00006.safetensors",
921
+ "model.visual.blocks.5.norm2.weight": "model-00006-of-00006.safetensors",
922
+ "model.visual.blocks.6.attn.proj.bias": "model-00006-of-00006.safetensors",
923
+ "model.visual.blocks.6.attn.proj.weight": "model-00006-of-00006.safetensors",
924
+ "model.visual.blocks.6.attn.qkv.bias": "model-00006-of-00006.safetensors",
925
+ "model.visual.blocks.6.attn.qkv.weight": "model-00006-of-00006.safetensors",
926
+ "model.visual.blocks.6.mlp.linear_fc1.bias": "model-00006-of-00006.safetensors",
927
+ "model.visual.blocks.6.mlp.linear_fc1.weight": "model-00006-of-00006.safetensors",
928
+ "model.visual.blocks.6.mlp.linear_fc2.bias": "model-00006-of-00006.safetensors",
929
+ "model.visual.blocks.6.mlp.linear_fc2.weight": "model-00006-of-00006.safetensors",
930
+ "model.visual.blocks.6.norm1.bias": "model-00006-of-00006.safetensors",
931
+ "model.visual.blocks.6.norm1.weight": "model-00006-of-00006.safetensors",
932
+ "model.visual.blocks.6.norm2.bias": "model-00006-of-00006.safetensors",
933
+ "model.visual.blocks.6.norm2.weight": "model-00006-of-00006.safetensors",
934
+ "model.visual.blocks.7.attn.proj.bias": "model-00006-of-00006.safetensors",
935
+ "model.visual.blocks.7.attn.proj.weight": "model-00006-of-00006.safetensors",
936
+ "model.visual.blocks.7.attn.qkv.bias": "model-00006-of-00006.safetensors",
937
+ "model.visual.blocks.7.attn.qkv.weight": "model-00006-of-00006.safetensors",
938
+ "model.visual.blocks.7.mlp.linear_fc1.bias": "model-00006-of-00006.safetensors",
939
+ "model.visual.blocks.7.mlp.linear_fc1.weight": "model-00006-of-00006.safetensors",
940
+ "model.visual.blocks.7.mlp.linear_fc2.bias": "model-00006-of-00006.safetensors",
941
+ "model.visual.blocks.7.mlp.linear_fc2.weight": "model-00006-of-00006.safetensors",
942
+ "model.visual.blocks.7.norm1.bias": "model-00006-of-00006.safetensors",
943
+ "model.visual.blocks.7.norm1.weight": "model-00006-of-00006.safetensors",
944
+ "model.visual.blocks.7.norm2.bias": "model-00006-of-00006.safetensors",
945
+ "model.visual.blocks.7.norm2.weight": "model-00006-of-00006.safetensors",
946
+ "model.visual.blocks.8.attn.proj.bias": "model-00006-of-00006.safetensors",
947
+ "model.visual.blocks.8.attn.proj.weight": "model-00006-of-00006.safetensors",
948
+ "model.visual.blocks.8.attn.qkv.bias": "model-00006-of-00006.safetensors",
949
+ "model.visual.blocks.8.attn.qkv.weight": "model-00006-of-00006.safetensors",
950
+ "model.visual.blocks.8.mlp.linear_fc1.bias": "model-00006-of-00006.safetensors",
951
+ "model.visual.blocks.8.mlp.linear_fc1.weight": "model-00006-of-00006.safetensors",
952
+ "model.visual.blocks.8.mlp.linear_fc2.bias": "model-00006-of-00006.safetensors",
953
+ "model.visual.blocks.8.mlp.linear_fc2.weight": "model-00006-of-00006.safetensors",
954
+ "model.visual.blocks.8.norm1.bias": "model-00006-of-00006.safetensors",
955
+ "model.visual.blocks.8.norm1.weight": "model-00006-of-00006.safetensors",
956
+ "model.visual.blocks.8.norm2.bias": "model-00006-of-00006.safetensors",
957
+ "model.visual.blocks.8.norm2.weight": "model-00006-of-00006.safetensors",
958
+ "model.visual.blocks.9.attn.proj.bias": "model-00006-of-00006.safetensors",
959
+ "model.visual.blocks.9.attn.proj.weight": "model-00006-of-00006.safetensors",
960
+ "model.visual.blocks.9.attn.qkv.bias": "model-00006-of-00006.safetensors",
961
+ "model.visual.blocks.9.attn.qkv.weight": "model-00006-of-00006.safetensors",
962
+ "model.visual.blocks.9.mlp.linear_fc1.bias": "model-00006-of-00006.safetensors",
963
+ "model.visual.blocks.9.mlp.linear_fc1.weight": "model-00006-of-00006.safetensors",
964
+ "model.visual.blocks.9.mlp.linear_fc2.bias": "model-00006-of-00006.safetensors",
965
+ "model.visual.blocks.9.mlp.linear_fc2.weight": "model-00006-of-00006.safetensors",
966
+ "model.visual.blocks.9.norm1.bias": "model-00006-of-00006.safetensors",
967
+ "model.visual.blocks.9.norm1.weight": "model-00006-of-00006.safetensors",
968
+ "model.visual.blocks.9.norm2.bias": "model-00006-of-00006.safetensors",
969
+ "model.visual.blocks.9.norm2.weight": "model-00006-of-00006.safetensors",
970
+ "model.visual.merger.linear_fc1.bias": "model-00006-of-00006.safetensors",
971
+ "model.visual.merger.linear_fc1.weight": "model-00006-of-00006.safetensors",
972
+ "model.visual.merger.linear_fc2.bias": "model-00006-of-00006.safetensors",
973
+ "model.visual.merger.linear_fc2.weight": "model-00006-of-00006.safetensors",
974
+ "model.visual.merger.norm.bias": "model-00006-of-00006.safetensors",
975
+ "model.visual.merger.norm.weight": "model-00006-of-00006.safetensors",
976
+ "model.visual.patch_embed.proj.bias": "model-00006-of-00006.safetensors",
977
+ "model.visual.patch_embed.proj.weight": "model-00006-of-00006.safetensors",
978
+ "model.visual.pos_embed.weight": "model-00006-of-00006.safetensors",
979
+ "mtp.layers.0.input_layernorm.weight": "model-00006-of-00006.safetensors",
980
+ "mtp.layers.0.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
981
+ "mtp.layers.0.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
982
+ "mtp.layers.0.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
983
+ "mtp.layers.0.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
984
+ "mtp.layers.0.self_attn.k_norm.weight": "model-00006-of-00006.safetensors",
985
+ "mtp.layers.0.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
986
+ "mtp.layers.0.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
987
+ "mtp.layers.0.self_attn.q_norm.weight": "model-00006-of-00006.safetensors",
988
+ "mtp.layers.0.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
989
+ "mtp.layers.0.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
990
+ "mtp.norm.weight": "model-00006-of-00006.safetensors",
991
+ "mtp.pre_fc_norm_embedding.weight": "model-00006-of-00006.safetensors",
992
+ "mtp.pre_fc_norm_hidden.weight": "model-00006-of-00006.safetensors"
993
+ }
994
+ }
preprocessor_config.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "size": {
3
+ "longest_edge": 16777216,
4
+ "shortest_edge": 65536
5
+ },
6
+ "patch_size": 16,
7
+ "temporal_patch_size": 2,
8
+ "merge_size": 2,
9
+ "image_mean": [
10
+ 0.5,
11
+ 0.5,
12
+ 0.5
13
+ ],
14
+ "image_std": [
15
+ 0.5,
16
+ 0.5,
17
+ 0.5
18
+ ],
19
+ "processor_class": "Qwen3VLProcessor",
20
+ "image_processor_type": "Qwen2VLImageProcessorFast"
21
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5f9e4d4901a92b997e463c1f46055088b6cca5ca61a6522d1b9f64c4bb81cb42
3
+ size 12807982
tokenizer_config.json ADDED
@@ -0,0 +1,304 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "248044": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "248045": {
13
+ "content": "<|im_start|>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "248046": {
21
+ "content": "<|im_end|>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "248047": {
29
+ "content": "<|object_ref_start|>",
30
+ "lstrip": false,
31
+ "normalized": false,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "248048": {
37
+ "content": "<|object_ref_end|>",
38
+ "lstrip": false,
39
+ "normalized": false,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": true
43
+ },
44
+ "248049": {
45
+ "content": "<|box_start|>",
46
+ "lstrip": false,
47
+ "normalized": false,
48
+ "rstrip": false,
49
+ "single_word": false,
50
+ "special": true
51
+ },
52
+ "248050": {
53
+ "content": "<|box_end|>",
54
+ "lstrip": false,
55
+ "normalized": false,
56
+ "rstrip": false,
57
+ "single_word": false,
58
+ "special": true
59
+ },
60
+ "248051": {
61
+ "content": "<|quad_start|>",
62
+ "lstrip": false,
63
+ "normalized": false,
64
+ "rstrip": false,
65
+ "single_word": false,
66
+ "special": true
67
+ },
68
+ "248052": {
69
+ "content": "<|quad_end|>",
70
+ "lstrip": false,
71
+ "normalized": false,
72
+ "rstrip": false,
73
+ "single_word": false,
74
+ "special": true
75
+ },
76
+ "248053": {
77
+ "content": "<|vision_start|>",
78
+ "lstrip": false,
79
+ "normalized": false,
80
+ "rstrip": false,
81
+ "single_word": false,
82
+ "special": true
83
+ },
84
+ "248054": {
85
+ "content": "<|vision_end|>",
86
+ "lstrip": false,
87
+ "normalized": false,
88
+ "rstrip": false,
89
+ "single_word": false,
90
+ "special": true
91
+ },
92
+ "248055": {
93
+ "content": "<|vision_pad|>",
94
+ "lstrip": false,
95
+ "normalized": false,
96
+ "rstrip": false,
97
+ "single_word": false,
98
+ "special": true
99
+ },
100
+ "248056": {
101
+ "content": "<|image_pad|>",
102
+ "lstrip": false,
103
+ "normalized": false,
104
+ "rstrip": false,
105
+ "single_word": false,
106
+ "special": true
107
+ },
108
+ "248057": {
109
+ "content": "<|video_pad|>",
110
+ "lstrip": false,
111
+ "normalized": false,
112
+ "rstrip": false,
113
+ "single_word": false,
114
+ "special": true
115
+ },
116
+ "248058": {
117
+ "content": "<tool_call>",
118
+ "lstrip": false,
119
+ "normalized": false,
120
+ "rstrip": false,
121
+ "single_word": false,
122
+ "special": false
123
+ },
124
+ "248059": {
125
+ "content": "</tool_call>",
126
+ "lstrip": false,
127
+ "normalized": false,
128
+ "rstrip": false,
129
+ "single_word": false,
130
+ "special": false
131
+ },
132
+ "248060": {
133
+ "content": "<|fim_prefix|>",
134
+ "lstrip": false,
135
+ "normalized": false,
136
+ "rstrip": false,
137
+ "single_word": false,
138
+ "special": false
139
+ },
140
+ "248061": {
141
+ "content": "<|fim_middle|>",
142
+ "lstrip": false,
143
+ "normalized": false,
144
+ "rstrip": false,
145
+ "single_word": false,
146
+ "special": false
147
+ },
148
+ "248062": {
149
+ "content": "<|fim_suffix|>",
150
+ "lstrip": false,
151
+ "normalized": false,
152
+ "rstrip": false,
153
+ "single_word": false,
154
+ "special": false
155
+ },
156
+ "248063": {
157
+ "content": "<|fim_pad|>",
158
+ "lstrip": false,
159
+ "normalized": false,
160
+ "rstrip": false,
161
+ "single_word": false,
162
+ "special": false
163
+ },
164
+ "248064": {
165
+ "content": "<|repo_name|>",
166
+ "lstrip": false,
167
+ "normalized": false,
168
+ "rstrip": false,
169
+ "single_word": false,
170
+ "special": false
171
+ },
172
+ "248065": {
173
+ "content": "<|file_sep|>",
174
+ "lstrip": false,
175
+ "normalized": false,
176
+ "rstrip": false,
177
+ "single_word": false,
178
+ "special": false
179
+ },
180
+ "248066": {
181
+ "content": "<tool_response>",
182
+ "lstrip": false,
183
+ "normalized": false,
184
+ "rstrip": false,
185
+ "single_word": false,
186
+ "special": false
187
+ },
188
+ "248067": {
189
+ "content": "</tool_response>",
190
+ "lstrip": false,
191
+ "normalized": false,
192
+ "rstrip": false,
193
+ "single_word": false,
194
+ "special": false
195
+ },
196
+ "248068": {
197
+ "content": "<think>",
198
+ "lstrip": false,
199
+ "normalized": false,
200
+ "rstrip": false,
201
+ "single_word": false,
202
+ "special": false
203
+ },
204
+ "248069": {
205
+ "content": "</think>",
206
+ "lstrip": false,
207
+ "normalized": false,
208
+ "rstrip": false,
209
+ "single_word": false,
210
+ "special": false
211
+ },
212
+ "248070": {
213
+ "content": "<|audio_start|>",
214
+ "lstrip": false,
215
+ "normalized": false,
216
+ "rstrip": false,
217
+ "single_word": false,
218
+ "special": true
219
+ },
220
+ "248071": {
221
+ "content": "<|audio_end|>",
222
+ "lstrip": false,
223
+ "normalized": false,
224
+ "rstrip": false,
225
+ "single_word": false,
226
+ "special": true
227
+ },
228
+ "248072": {
229
+ "content": "<tts_pad>",
230
+ "lstrip": false,
231
+ "normalized": false,
232
+ "rstrip": false,
233
+ "single_word": false,
234
+ "special": true
235
+ },
236
+ "248073": {
237
+ "content": "<tts_text_bos>",
238
+ "lstrip": false,
239
+ "normalized": false,
240
+ "rstrip": false,
241
+ "single_word": false,
242
+ "special": true
243
+ },
244
+ "248074": {
245
+ "content": "<tts_text_eod>",
246
+ "lstrip": false,
247
+ "normalized": false,
248
+ "rstrip": false,
249
+ "single_word": false,
250
+ "special": true
251
+ },
252
+ "248075": {
253
+ "content": "<tts_text_bos_single>",
254
+ "lstrip": false,
255
+ "normalized": false,
256
+ "rstrip": false,
257
+ "single_word": false,
258
+ "special": true
259
+ },
260
+ "248076": {
261
+ "content": "<|audio_pad|>",
262
+ "lstrip": false,
263
+ "normalized": false,
264
+ "rstrip": false,
265
+ "single_word": false,
266
+ "special": true
267
+ }
268
+ },
269
+ "additional_special_tokens": [
270
+ "<|im_start|>",
271
+ "<|im_end|>",
272
+ "<|object_ref_start|>",
273
+ "<|object_ref_end|>",
274
+ "<|box_start|>",
275
+ "<|box_end|>",
276
+ "<|quad_start|>",
277
+ "<|quad_end|>",
278
+ "<|vision_start|>",
279
+ "<|vision_end|>",
280
+ "<|vision_pad|>",
281
+ "<|image_pad|>",
282
+ "<|video_pad|>"
283
+ ],
284
+ "bos_token": null,
285
+ "clean_up_tokenization_spaces": false,
286
+ "eos_token": "<|im_end|>",
287
+ "errors": "replace",
288
+ "model_max_length": 262144,
289
+ "pad_token": "<|endoftext|>",
290
+ "split_special_tokens": false,
291
+ "tokenizer_class": "Qwen2Tokenizer",
292
+ "unk_token": null,
293
+ "add_bos_token": false,
294
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
295
+ "extra_special_tokens": {
296
+ "audio_bos_token": "<|audio_start|>",
297
+ "audio_eos_token": "<|audio_end|>",
298
+ "audio_token": "<|audio_pad|>",
299
+ "image_token": "<|image_pad|>",
300
+ "video_token": "<|video_pad|>",
301
+ "vision_bos_token": "<|vision_start|>",
302
+ "vision_eos_token": "<|vision_end|>"
303
+ }
304
+ }
video_preprocessor_config.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "size": {
3
+ "longest_edge": 25165824,
4
+ "shortest_edge": 4096
5
+ },
6
+ "patch_size": 16,
7
+ "temporal_patch_size": 2,
8
+ "merge_size": 2,
9
+ "image_mean": [
10
+ 0.5,
11
+ 0.5,
12
+ 0.5
13
+ ],
14
+ "image_std": [
15
+ 0.5,
16
+ 0.5,
17
+ 0.5
18
+ ],
19
+ "processor_class": "Qwen3VLProcessor",
20
+ "video_processor_type": "Qwen3VLVideoProcessor"
21
+ }
vocab.json ADDED
The diff for this file is too large to render. See raw diff