Llava Onevision Qwen2 7B Ov Chat by lmms-lab

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Llava Onevision Qwen2 7B Ov Chat is an open-source language model by lmms-lab. Features: 7b LLM, VRAM: 16.1GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.16.

  Arxiv:2408.03326   Arxiv:2410.02712   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 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 🤗https://huggingface.co/lmms-lab/llava-onevision-qwen2-7b-ov-chat 
Model Size7b
Required VRAM16.1 GB
Updated2026-05-23
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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LongVA 7B DPO218K / 15.9 GB61710
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Llava Onevision Qwen2 7B Si32K / 16.1 GB172312
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...va Next Interleave Qwen 7B DPO32K / 16.3 GB7712
Note: green Score (e.g. "73.2") means that the model is better than lmms-lab/llava-onevision-qwen2-7b-ov-chat.

Rank the Llava Onevision Qwen2 7B Ov Chat Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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Release v20260328a