LLaVA NeXT Video 7B 32K by lmms-lab

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  Autotrain compatible   Instruct   Llava mistral   Region:us   Safetensors   Sharded   Tensorflow   Video-text-to-text

LLaVA NeXT Video 7B 32K Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LLaVA NeXT Video 7B 32K (lmms-lab/LLaVA-NeXT-Video-7B-32K)

LLaVA NeXT Video 7B 32K Parameters and Internals

Model Type 
Multimodal chatbot, Video-text to text
Use Cases 
Primary Use Cases:
Research on large multimodal models and chatbots
Training Details 
Data Sources:
LAION/CC/SBU, BLIP, GPS-generated, VQA, GPT-4V, ShareGPT, VideoChatGPT-Instruct
Training Time:
April 2024
LLM NameLLaVA NeXT Video 7B 32K
Repository ๐Ÿค—https://huggingface.co/lmms-lab/LLaVA-NeXT-Video-7B-32K 
Model Size7b
Required VRAM15.1 GB
Updated2025-01-20
Maintainerlmms-lab
Model Typellava_mistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   0.3 GB: 4-of-4   0.0 GB
Model ArchitectureLlavaMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than lmms-lab/LLaVA-NeXT-Video-7B-32K.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227