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LLaVA Meta Llama 3 8B Instruct FT by MBZUAI

 »  All LLMs  »  MBZUAI  »  LLaVA Meta Llama 3 8B Instruct FT   URL Share it on

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  Autotrain compatible   Conversational   Endpoints compatible   Instruct   Llava llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/MBZUAI/LLaVA-Meta-Llama-3-8B-Instruct-FT 

LLaVA Meta Llama 3 8B Instruct FT Benchmarks

LLME Score: 0.18818
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LLaVA Meta Llama 3 8B Instruct FT (MBZUAI/LLaVA-Meta-Llama-3-8B-Instruct-FT)

LLaVA Meta Llama 3 8B Instruct FT Parameters and Internals

Model Type 
vision-language
Additional Notes 
The model aims to extend the visual capabilities of LLaVA by integrating with Meta-Llama-3-8B-Instruct for advanced vision-language understanding.
Training Details 
Data Sources:
LCS-558K, LLaVA-Instruct-665K
Methodology:
Pretraining only trains the Vision-to-Language projector while keeping other parts of the model frozen; fine-tuning involves all model parameters including the LLM except for the vision-backbone (CLIP) which is kept frozen.
LLM NameLLaVA Meta Llama 3 8B Instruct FT
Repository 🤗https://huggingface.co/MBZUAI/LLaVA-Meta-Llama-3-8B-Instruct-FT 
Model Size8b
Required VRAM16.7 GB
Updated2025-02-22
MaintainerMBZUAI
Model Typellava_llama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.8 GB: 4-of-4   0.0 GB
Model ArchitectureLlavaLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.41.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size128257
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than MBZUAI/LLaVA-Meta-Llama-3-8B-Instruct-FT.

Rank the LLaVA Meta Llama 3 8B Instruct FT 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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Release v20241227
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