LLaVA NeXT Video 7B by lmms-lab

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

LLaVA NeXT Video 7B Benchmarks

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

Model Type 
multimodal, chatbot
Use Cases 
Areas:
Research
Primary Use Cases:
Research on large multimodal models and chatbots
Training Details 
Data Sources:
LAION/CC/SBU, BLIP, GPT-generated, VQA academic tasks, GPT-4V, ShareGPT
Methodology:
Fine-tuning LLM on multimodal instruction-following data
LLM NameLLaVA NeXT Video 7B
Repository ๐Ÿค—https://huggingface.co/lmms-lab/LLaVA-NeXT-Video-7B 
Model Size7b
Required VRAM14.1 GB
Updated2024-12-04
Maintainerlmms-lab
Model Typellava
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.2 GB: 3-of-3   0.0 GB   0.0 GB
Model ArchitectureLlavaLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.39.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
LLaVA NeXT Video 7B (lmms-lab/LLaVA-NeXT-Video-7B)

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

Rank the LLaVA NeXT Video 7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124