Llava Onevision Qwen2 7B Ov Chat by lmms-lab

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  Arxiv:2408.03326   Arxiv:2410.02712   Autotrain compatible   Conversational Dataset:lmms-lab/llava-onevisi...   En   Endpoints compatible   Llava qwen   Multimodal   Region:us   Safetensors   Sharded   Tensorflow   Zh

Llava Onevision Qwen2 7B Ov Chat Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llava Onevision Qwen2 7B Ov Chat (lmms-lab/llava-onevision-qwen2-7b-ov-chat)

Llava Onevision Qwen2 7B Ov Chat Parameters and Internals

Model Type 
multimodal, chat
Use Cases 
Areas:
chat applications
Additional Notes 
Model is specifically designed for chat scenarios with ability to interact with multiple modalities.
Supported Languages 
English (fluent), Chinese (fluent)
Training Details 
Data Sources:
LLaVA-OneVision Dataset
Methodology:
Iterative DPO training with human preference
Hardware Used:
256 Nvidia Tesla A100 GPUs
Model Architecture:
SO400M + Qwen2
Input Output 
Input Format:
Text and image
Accepted Modalities:
text, image, multi-image, video
Output Format:
Text
LLM NameLlava Onevision Qwen2 7B Ov Chat
Repository ๐Ÿค—https://huggingface.co/lmms-lab/llava-onevision-qwen2-7b-ov-chat 
Model Size7b
Required VRAM16.1 GB
Updated2025-01-02
Maintainerlmms-lab
Model Typellava_qwen
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   1.3 GB: 4-of-4   0.0 GB
Supported Languagesen zh
Model ArchitectureLlavaQwenForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227