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README.md ADDED
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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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+
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+ # mlx-community/SmolVLM-Instruct-4bit
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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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+
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+ ```bash
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+ pip install -U mlx-vlm
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+ ```
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+
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+ ```bash
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+ python -m mlx_vlm.generate --model mlx-community/SmolVLM-Instruct-4bit --max-tokens 100 --temp 0.0
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+ ```
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+ "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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