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Browse files- README.md +28 -0
- added_tokens.json +5 -0
- chat_template.json +3 -0
- config.json +261 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- model.safetensors.index.json +0 -0
- preprocessor_config.json +28 -0
- processor_config.json +4 -0
- special_tokens_map.json +53 -0
- tokenizer.json +0 -0
- tokenizer_config.json +182 -0
- vocab.json +0 -0
    	
        README.md
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            ---
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            base_model:
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            - HuggingFaceTB/SmolLM2-1.7B-Instruct
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            - google/siglip-so400m-patch14-384
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            datasets:
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            - HuggingFaceM4/the_cauldron
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            - HuggingFaceM4/Docmatix
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            language:
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            - en
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            library_name: transformers
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            license: apache-2.0
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            pipeline_tag: image-text-to-text
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            tags:
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            - mlx
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            ---
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            # mlx-community/SmolVLM-Instruct-8bit
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            This model was converted to MLX format from [`HuggingFaceTB/SmolVLM-Instruct`]() using mlx-vlm version **0.1.2**.
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            Refer to the [original model card](https://huggingface.co/HuggingFaceTB/SmolVLM-Instruct) for more details on the model.
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            ## Use with mlx
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            ```bash
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            pip install -U mlx-vlm
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            ```
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            ```bash
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            python -m mlx_vlm.generate --model mlx-community/SmolVLM-Instruct-8bit --max-tokens 100 --temp 0.0
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            ```
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        added_tokens.json
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            {
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              "<end_of_utterance>": 49154,
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              "<fake_token_around_image>": 49152,
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              "<image>": 49153
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            }
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        chat_template.json
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            {
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              "chat_template": "<|im_start|>{% for message in messages %}{{message['role'].capitalize()}}{% if message['content'][0]['type'] == 'image' %}{{':'}}{% else %}{{': '}}{% endif %}{% for line in message['content'] %}{% if line['type'] == 'text' %}{{line['text']}}{% elif line['type'] == 'image' %}{{ '<image>' }}{% endif %}{% endfor %}<end_of_utterance>\n{% endfor %}{% if add_generation_prompt %}{{ 'Assistant:' }}{% endif %}"
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            }
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        config.json
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            {
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                "architectures": [
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                    "Idefics3ForConditionalGeneration"
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                ],
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                "image_seq_len": 81,
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                "image_token_id": 49153,
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                "model_type": "idefics3",
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                "quantization": {
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                    "group_size": 64,
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                    "bits": 8
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                },
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                "scale_factor": 3,
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                "text_config": {
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                    "_attn_implementation_autoset": false,
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                    "_flash_attn_2_enabled": true,
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                    "_name_or_path": "/fsx/m4/experiments/local_experiment_dir/s3_async_temporary_checkpoint_folder/tr_324_opt_400/unwrapped_model",
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                    "add_cross_attention": false,
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                        "VLlama3ForCausalLM"
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                        "0": "LABEL_0",
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                        "1": "LABEL_1"
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    | @@ -0,0 +1,182 @@ | |
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         | 
| 136 | 
            +
                  "rstrip": false,
         | 
| 137 | 
            +
                  "single_word": false,
         | 
| 138 | 
            +
                  "special": true
         | 
| 139 | 
            +
                },
         | 
| 140 | 
            +
                "49152": {
         | 
| 141 | 
            +
                  "content": "<fake_token_around_image>",
         | 
| 142 | 
            +
                  "lstrip": false,
         | 
| 143 | 
            +
                  "normalized": false,
         | 
| 144 | 
            +
                  "rstrip": false,
         | 
| 145 | 
            +
                  "single_word": false,
         | 
| 146 | 
            +
                  "special": true
         | 
| 147 | 
            +
                },
         | 
| 148 | 
            +
                "49153": {
         | 
| 149 | 
            +
                  "content": "<image>",
         | 
| 150 | 
            +
                  "lstrip": false,
         | 
| 151 | 
            +
                  "normalized": false,
         | 
| 152 | 
            +
                  "rstrip": false,
         | 
| 153 | 
            +
                  "single_word": false,
         | 
| 154 | 
            +
                  "special": true
         | 
| 155 | 
            +
                },
         | 
| 156 | 
            +
                "49154": {
         | 
| 157 | 
            +
                  "content": "<end_of_utterance>",
         | 
| 158 | 
            +
                  "lstrip": false,
         | 
| 159 | 
            +
                  "normalized": false,
         | 
| 160 | 
            +
                  "rstrip": false,
         | 
| 161 | 
            +
                  "single_word": false,
         | 
| 162 | 
            +
                  "special": true
         | 
| 163 | 
            +
                }
         | 
| 164 | 
            +
              },
         | 
| 165 | 
            +
              "additional_special_tokens": [
         | 
| 166 | 
            +
                "<fake_token_around_image>",
         | 
| 167 | 
            +
                "<image>",
         | 
| 168 | 
            +
                "<end_of_utterance>"
         | 
| 169 | 
            +
              ],
         | 
| 170 | 
            +
              "bos_token": "<|im_start|>",
         | 
| 171 | 
            +
              "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}",
         | 
| 172 | 
            +
              "clean_up_tokenization_spaces": false,
         | 
| 173 | 
            +
              "eos_token": "<end_of_utterance>",
         | 
| 174 | 
            +
              "legacy": false,
         | 
| 175 | 
            +
              "model_max_length": 16384,
         | 
| 176 | 
            +
              "pad_token": "<|im_end|>",
         | 
| 177 | 
            +
              "processor_class": "Idefics3Processor",
         | 
| 178 | 
            +
              "tokenizer_class": "GPT2Tokenizer",
         | 
| 179 | 
            +
              "truncation_side": "left",
         | 
| 180 | 
            +
              "unk_token": "<|endoftext|>",
         | 
| 181 | 
            +
              "vocab_size": 49152
         | 
| 182 | 
            +
            }
         | 
    	
        vocab.json
    ADDED
    
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|  | 

