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VideoLLaMA2 7B by DAMO-NLP-SG

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VideoLLaMA2 7B is an open-source language model by DAMO-NLP-SG. Features: 7b LLM, VRAM: 16GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.15.

  Arxiv:2306.02858   Arxiv:2406.07476   Autotrain compatible   Dataset:lin-chen/sharegpt4v Dataset:liuhaotian/llava-instr... Dataset:opengvlab/videochat2-i...   En   Endpoints compatible   Instruct   Large video-language model Multimodal large language mode...   Region:us   Safetensors   Sharded   Tensorflow   Videollama2 mistral   Visual-question-answering
Model Card on HF 🤗: https://huggingface.co/DAMO-NLP-SG/VideoLLaMA2-7B 

VideoLLaMA2 7B Benchmarks

LLME Score: 0.14953
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
VideoLLaMA2 7B (DAMO-NLP-SG/VideoLLaMA2-7B)
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VideoLLaMA2 7B Parameters and Internals

Model Type 
multimodal large language model, large video-language model
Release Notes 
Version:
VideoLLaMA2-7B-Base
Notes:
Base variant with a visual encoder and language decoder. Trained on 8 frames.
Version:
VideoLLaMA2-7B
Notes:
Chat variant with a visual encoder and language decoder. Trained on 8 frames.
Version:
VideoLLaMA2-7B-16F-Base
Notes:
Base variant with 16 training frames.
Version:
VideoLLaMA2-7B-16F
Notes:
Chat variant with 16 training frames.
Version:
VideoLLaMA2-8x7B-Base
Notes:
Base variant with Mixtral-8x7B-Instruct-v0.1 and 8 frames.
Version:
VideoLLaMA2-8x7B
Notes:
Chat variant with Mixtral-8x7B-Instruct-v0.1 and 8 frames.
Version:
VideoLLaMA2-72B-Base
Notes:
Base variant with Qwen2-72B-Instruct and 8 frames.
Version:
VideoLLaMA2-72B
Notes:
Chat variant with Qwen2-72B-Instruct and 8 frames.
LLM NameVideoLLaMA2 7B
Repository 🤗https://huggingface.co/DAMO-NLP-SG/VideoLLaMA2-7B 
Model Size7b
Required VRAM16 GB
Updated2025-09-23
MaintainerDAMO-NLP-SG
Model Typevideollama2_mistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen
Model ArchitectureVideollama2MistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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VideoLLaMA2 7B 16F32K / 16 GB59815
Note: green Score (e.g. "73.2") means that the model is better than DAMO-NLP-SG/VideoLLaMA2-7B.

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