Upload folder using huggingface_hub
Browse files- config.json +48 -0
- merges.txt +0 -0
- metadata.json +1 -0
- model.safetensors +3 -0
- special_tokens_map.json +28 -0
- tokenizer.json +0 -0
- tokenizer_config.json +155 -0
- vocab.json +0 -0
config.json
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{
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"architectures": [
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"LlamaForSequenceClassification"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"head_dim": 64,
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"hidden_act": "silu",
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"hidden_size": 960,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2"
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},
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"initializer_range": 0.02,
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"intermediate_size": 2560,
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"is_llama_config": true,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2
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},
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"max_position_embeddings": 8192,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 15,
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"num_hidden_layers": 32,
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"num_key_value_heads": 5,
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"pad_token_id": 2,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_interleaved": false,
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"rope_scaling": null,
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"rope_theta": 100000,
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"transformers.js_config": {
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"kv_cache_dtype": {
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"fp16": "float16",
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"q4f16": "float16"
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}
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},
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"transformers_version": "4.51.3",
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"use_cache": true,
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"vocab_size": 49152
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}
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merges.txt
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metadata.json
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{"test_metrics": {"test/accuracy": 0.7437117607070021, "test/f1_macro": 0.7437723640417468, "test/precision": 0.7437700894055984, "test/recall": 0.7444021010487692, "test/confusion_matrix": [[4159, 710, 717], [605, 4312, 750], [774, 968, 4657]], "test/vast": {"accuracy": 0.7538256819693946, "f1_macro": 0.7492484968884109, "precision": 0.7501653520728464, "recall": 0.7511970655014509}, "test/ezstance": {"accuracy": 0.6391288021028915, "f1_macro": 0.6376467526577225, "precision": 0.640126789467326, "recall": 0.6406803623959795}, "test/ezstance_claim": {"accuracy": 0.8525803310613437, "f1_macro": 0.8529506359335999, "precision": 0.856599440850588, "recall": 0.8525746680358538}, "test/pstance": {"accuracy": 0.8191933240611962, "f1_macro": 0.8188269398092711, "precision": 0.8188830548021216, "recall": 0.8187764857881137}, "test/semeval": {"accuracy": 0.6232106339468303, "f1_macro": 0.5921589318327758, "precision": 0.6031941849286565, "recall": 0.6088800914581328}, "test/mtcsd": {"accuracy": 0.6463465553235909, "f1_macro": 0.5997875103575203, "precision": 0.6430789901082369, "recall": 0.5828140545945697}, "test/ctsdt": {"accuracy": 0.7294117647058823, "f1_macro": 0.6433687351971505, "precision": 0.7291177007201348, "recall": 0.6156366162932082}}, "prompt": "For the following text, determine whether the author's stance is in favor of, against, or neutral toward the target: '{target}'. Consider the language used, any explicit statements of position, and contextual clues that suggest the author's stance. Answer only with 'in favor', 'against', or 'neutral'. \n\nText: '{text}'", "parent_prompt": "For the following text, determine whether the author's stance is in favor of, against, or neutral toward the target: '{target}'. Consider the language used, any explicit statements of position, the chain of parent texts that the author is replying to, and contextual clues that suggest the author's attitude. Answer only with 'in favor', 'against', or 'neutral'.\n\nParent Document Chain (from oldest to most recent):\n{parent_chain}\n\nText: '{text}'", "classification_method": "head"}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b6f18e690cf8ad53b5c6f061d9940d0ffb8cdedec4e3ef76f8e6ccddf6f6f5ca
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size 723680760
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<|im_start|>",
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"<|im_end|>"
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],
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"bos_token": {
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"content": "<|im_start|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "<|im_end|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<|im_end|>",
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"unk_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"0": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<|im_start|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "<|im_end|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"3": {
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"content": "<repo_name>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"4": {
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"content": "<reponame>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"5": {
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"content": "<file_sep>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"6": {
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"content": "<filename>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"7": {
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"content": "<gh_stars>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"8": {
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"content": "<issue_start>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"9": {
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"content": "<issue_comment>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"10": {
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"content": "<issue_closed>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"11": {
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"content": "<jupyter_start>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"12": {
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"content": "<jupyter_text>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"13": {
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"content": "<jupyter_code>",
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"lstrip": false,
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"normalized": false,
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| 112 |
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"14": {
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"content": "<jupyter_output>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"15": {
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"content": "<jupyter_script>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"16": {
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"content": "<empty_output>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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| 141 |
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"additional_special_tokens": [
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| 142 |
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"<|im_start|>",
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| 143 |
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"<|im_end|>"
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],
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| 145 |
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"bos_token": "<|im_start|>",
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"chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful AI assistant named SmolLM, trained by Hugging Face<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
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| 147 |
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"clean_up_tokenization_spaces": false,
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| 148 |
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"eos_token": "<|im_end|>",
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| 149 |
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"extra_special_tokens": {},
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| 150 |
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"model_max_length": 8192,
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| 151 |
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"pad_token": "<|im_end|>",
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| 152 |
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"tokenizer_class": "GPT2Tokenizer",
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| 153 |
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"unk_token": "<|endoftext|>",
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| 154 |
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"vocab_size": 49152
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}
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vocab.json
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