Instructions to use ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp")
model = AutoModelForMultimodalLM.from_pretrained("ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
inputs = processor.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

llama-cpp-python

How to use ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp",
	filename="martin-v1-Q8_0.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": [
				{
					"type": "text",
					"text": "Describe this image in one sentence."
				},
				{
					"type": "image_url",
					"image_url": {
						"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
					}
				}
			]
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp:Q8_0
# Run inference directly in the terminal:
llama-cli -hf ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp:Q8_0
# Run inference directly in the terminal:
llama-cli -hf ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp:Q8_0

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp:Q8_0

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp:Q8_0

Use Docker

docker model run hf.co/ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp:Q8_0

LM Studio
Jan

vLLM

How to use ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp:Q8_0

SGLang

How to use ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Ollama
How to use ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp with Ollama:
```
ollama run hf.co/ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp:Q8_0
```

Unsloth Studio

How to use ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp to start chatting

Atomic Chat new
Docker Model Runner
How to use ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp with Docker Model Runner:
```
docker model run hf.co/ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp:Q8_0
```

Lemonade

How to use ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull ZERO-POINT-AI/MR_MARTIN_31b_V1.0_Gemma-4-base-ftp:Q8_0

Run and chat with the model

lemonade run user.MR_MARTIN_31b_V1.0_Gemma-4-base-ftp-Q8_0

List all available models

lemonade list

𝒥.S@🇿🇪Ʀ🇴-PO𝐼NT-🅰🅸 commited on Apr 12

Commit

eaa6d8e

verified ·

1 Parent(s): e06e6ad

Upload folder using huggingface_hub

Browse files

Files changed (10) hide show

.gitattributes +1 -0
chat_template.jinja +8 -0
config.json +178 -0
generation_config.json +10 -0
model-00001-of-00002.safetensors +3 -0
model-00002-of-00002.safetensors +3 -0
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processor_config.json +75 -0
tokenizer.json +3 -0
tokenizer_config.json +55 -0

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chat_template.jinja ADDED Viewed

	@@ -0,0 +1,8 @@

+{{ bos_token }}{% for message in messages %}{% if message['role'] == 'system' %}<start_of_turn>system
+{{ message['content'] }}<end_of_turn>
+{% elif message['role'] == 'user' %}<start_of_turn>user
+{{ message['content'] }}<end_of_turn>
+{% elif message['role'] == 'assistant' %}<start_of_turn>model
+{{ message['content'] }}<end_of_turn>
+{% endif %}{% endfor %}{% if add_generation_prompt %}<start_of_turn>model
+{% endif %}

config.json ADDED Viewed

	@@ -0,0 +1,178 @@

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generation_config.json ADDED Viewed

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tokenizer_config.json ADDED Viewed

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+{
+  "audio_token": "<|audio|>",
+  "backend": "tokenizers",
+  "boa_token": "<|audio>",
+  "boi_token": "<|image>",
+  "bos_token": "<bos>",
+  "eoa_token": "<audio|>",
+  "eoc_token": "<channel|>",
+  "eoi_token": "<image|>",
+  "eos_token": "<eos>",
+  "eot_token": "<turn|>",
+  "escape_token": "<|\"|>",
+  "etc_token": "<tool_call|>",
+  "etd_token": "<tool|>",
+  "etr_token": "<tool_response|>",
+  "extra_special_tokens": [
+    "<|video|>"
+  ],
+  "image_token": "<|image|>",
+  "is_local": true,
+  "mask_token": "<mask>",
+  "model_max_length": 1000000000000000019884624838656,
+  "model_specific_special_tokens": {
+    "audio_token": "<|audio|>",
+    "boa_token": "<|audio>",
+    "boi_token": "<|image>",
+    "eoa_token": "<audio|>",
+    "eoc_token": "<channel|>",
+    "eoi_token": "<image|>",
+    "eot_token": "<turn|>",
+    "escape_token": "<|\"|>",
+    "etc_token": "<tool_call|>",
+    "etd_token": "<tool|>",
+    "etr_token": "<tool_response|>",
+    "image_token": "<|image|>",
+    "soc_token": "<|channel>",
+    "sot_token": "<|turn>",
+    "stc_token": "<|tool_call>",
+    "std_token": "<|tool>",
+    "str_token": "<|tool_response>",
+    "think_token": "<|think|>"
+  },
+  "pad_token": "<pad>",
+  "padding_side": "right",
+  "processor_class": "Gemma4Processor",
+  "soc_token": "<|channel>",
+  "sot_token": "<|turn>",
+  "stc_token": "<|tool_call>",
+  "std_token": "<|tool>",
+  "str_token": "<|tool_response>",
+  "think_token": "<|think|>",
+  "tokenizer_class": "GemmaTokenizer",
+  "unk_token": "<unk>",
+  "chat_template": "{{ bos_token }}{% for message in messages %}{% if message['role'] == 'system' %}<start_of_turn>system\n{{ message['content'] }}<end_of_turn>\n{% elif message['role'] == 'user' %}<start_of_turn>user\n{{ message['content'] }}<end_of_turn>\n{% elif message['role'] == 'assistant' %}<start_of_turn>model\n{{ message['content'] }}<end_of_turn>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<start_of_turn>model\n{% endif %}"
+}