Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +32 -0
- added_tokens.json +3 -0
- chat_template.json +3 -0
- config.json +243 -0
- generation_config.json +11 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +0 -0
- preprocessor_config.json +29 -0
- processor_config.json +4 -0
- special_tokens_map.json +33 -0
- tokenizer.json +3 -0
- tokenizer.model +3 -0
- tokenizer_config.json +0 -0
.gitattributes
CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: other
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license_name: qwen
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license_link: https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE
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pipeline_tag: image-text-to-text
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library_name: transformers
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base_model:
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- OpenGVLab/InternViT-300M-448px-V2_5
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- Qwen/Qwen2.5-0.5B
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base_model_relation: merge
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datasets:
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- OpenGVLab/MMPR-v1.2
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language:
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- multilingual
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tags:
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- internvl
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- custom_code
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- mlx
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---
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# mlx-gg-hf/gemma-3-12b-it-qat-6bit
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This model was converted to MLX format from [`gg-hf-g/gemma-3-12b-it-qat-q4_0-unquantized`]() using mlx-vlm version **0.1.23**.
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Refer to the [original model card](https://huggingface.co/gg-hf-g/gemma-3-12b-it-qat-q4_0-unquantized) 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-gg-hf/gemma-3-12b-it-qat-6bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
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```
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added_tokens.json
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{
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"<image_soft_token>": 262144
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}
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chat_template.json
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{
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"chat_template": "{{ bos_token }}\n{%- if messages[0]['role'] == 'system' -%}\n {%- if messages[0]['content'] is string -%}\n {%- set first_user_prefix = messages[0]['content'] + '\n\n' -%}\n {%- else -%}\n {%- set first_user_prefix = messages[0]['content'][0]['text'] + '\n\n' -%}\n {%- endif -%}\n {%- set loop_messages = messages[1:] -%}\n{%- else -%}\n {%- set first_user_prefix = \"\" -%}\n {%- set loop_messages = messages -%}\n{%- endif -%}\n{%- for message in loop_messages -%}\n {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}\n {{ raise_exception(\"Conversation roles must alternate user/assistant/user/assistant/...\") }}\n {%- endif -%}\n {%- if (message['role'] == 'assistant') -%}\n {%- set role = \"model\" -%}\n {%- else -%}\n {%- set role = message['role'] -%}\n {%- endif -%}\n {{ '<start_of_turn>' + role + '\n' + (first_user_prefix if loop.first else \"\") }}\n {%- if message['content'] is string -%}\n {{ message['content'] | trim }}\n {%- elif message['content'] is iterable -%}\n {%- for item in message['content'] -%}\n {%- if item['type'] == 'image' -%}\n {{ '<start_of_image>' }}\n {%- elif item['type'] == 'text' -%}\n {{ item['text'] | trim }}\n {%- endif -%}\n {%- endfor -%}\n {%- else -%}\n {{ raise_exception(\"Invalid content type\") }}\n {%- endif -%}\n {{ '<end_of_turn>\n' }}\n{%- endfor -%}\n{%- if add_generation_prompt -%}\n {{'<start_of_turn>model\n'}}\n{%- endif -%}\n"
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}
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config.json
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{
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"_attn_implementation_autoset": false,
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"add_cross_attention": false,
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"architectures": [
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"Gemma3ForConditionalGeneration"
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],
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7 |
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"bad_words_ids": null,
|
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"begin_suppress_tokens": null,
|
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"boi_token_index": 255999,
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"diversity_penalty": 0.0,
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"do_sample": false,
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"early_stopping": false,
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"encoder_no_repeat_ngram_size": 0,
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"eoi_token_index": 256000,
|
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"eos_token_id": [
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1,
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106
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],
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"finetuning_task": null,
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"forced_bos_token_id": null,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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"image_token_index": 262144,
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"initializer_range": 0.02,
|
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"is_decoder": false,
|
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"is_encoder_decoder": false,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1
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},
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|
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"max_length": 20,
|
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"min_length": 0,
|
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"mm_tokens_per_image": 256,
|
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"model_type": "gemma3",
|
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"no_repeat_ngram_size": 0,
|
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"bits": 6
|
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},
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"repetition_penalty": 1.0,
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"return_dict": true,
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"text_config": {
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"return_dict": true,
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"output_hidden_states": false,
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"torchscript": false,
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"torch_dtype": "bfloat16",
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"use_bfloat16": false,
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"tf_legacy_loss": false,
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"tie_word_embeddings": true,
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"is_encoder_decoder": false,
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},
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}
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},
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"label2id": {
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|
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},
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preprocessor_config.json
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processor_config.json
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