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.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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  *.zip filter=lfs diff=lfs merge=lfs -text
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README.md CHANGED
@@ -1,3 +1,36 @@
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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: mit
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+ library_name: peft
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+ base_model: lmms-lab/llava-onevision-qwen2-7b-ov
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+ datasets:
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+ - wangyueqian/MMDuetIT
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+ language:
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+ - en
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+ tags:
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+ - llava-onevision
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+ - llava
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+ - multimodal
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+ - online video understanding
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+ - video understanding
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+ pipeline_tag: video-text-to-text
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+ ---
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+
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+ # MMDuet
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+
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+ This is the model checkpoint of **MMDuet**, a VideoLLM you can interact with in a real-time manner while the video plays.
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+
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+ ## Model Details
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+
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+
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+ ## Related Resources
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+ - **Github:** [MMDuet](https://github.com/yellow-binary-tree/MMDuet)
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+ - **Paper:** TODO
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+ - **Demo:** [Video Demo](https://www.youtube.com/watch?v=n1OybwhQvtk)
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+ - **Data:** [MMDuetIT](https://huggingface.co/datasets/wangyueqian/MMDuetIT)
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+
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+
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+ ## Citation
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+ If you use this work in your research, please consider cite:
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+ ```bibtex
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+
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+ ```
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+ "megatron_core": "megatron.core",
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+ "modules_to_save": [
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+ "connector",
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+ "mm_projector",
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+ "response_head",
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+ "related_head"
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+ ],
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+ "peft_type": "LORA",
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+ "r": 16,
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+ "rank_pattern": {},
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+ "revision": null,
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+ "target_modules": "model\\.layers.*(q_proj|k_proj|v_proj|o_proj|gate_proj|up_proj|down_proj)$",
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+ "task_type": "CAUSAL_LM",
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+ "use_dora": false,
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+ }
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+ "additional_special_tokens": [
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+ "bos_token": "<|im_start|>",
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+ "chat_template": "{% if messages[0]['role'] == 'system' %}{{ bos_token + 'system\n' + messages[0]['content'] + eos_token}}{% set messages = messages[1:] %}{% endif %}{% for i in range(messages | length) %}{% set message = messages[i] %}{% if message['role'] == 'user' %}{% if add_stream_query_prompt %}{{ eos_token + '\n' + bos_token + 'user\n' + message['content'] + eos_token }}{% else %}{{ '\n' + bos_token + 'user\n' + message['content'] + eos_token }}{% endif %}{% elif message['role'] == 'assistant' %}{{ '\n' + bos_token + 'assistant\n' + message['content'] + eos_token }}{% elif message['role'] == 'stream' and message['num_frames'] > 0 %}{{ '\n' + bos_token + 'stream\n' + ''.join([49 * '<image>'] * message['num_frames']) + eos_token }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '\n' + bos_token + 'assistant\n' }}{% elif add_stream_prompt %}{{ '\n' + bos_token + 'stream\n' }}{% elif add_stream_generation_prompt %}{{ eos_token + '\n' + bos_token + 'assistant\n' }}{% endif %}",
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+ "processor_class": "LlavaProcessor",
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vocab.json ADDED
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