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LLaVA Phi 3 Mini 4K Instruct by MBZUAI

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Model Card on HF 🤗: https://huggingface.co/MBZUAI/LLaVA-Phi-3-mini-4k-instruct 

LLaVA Phi 3 Mini 4K Instruct Benchmarks

LLME Score: 0.21304
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LLaVA Phi 3 Mini 4K Instruct (MBZUAI/LLaVA-Phi-3-mini-4k-instruct)

LLaVA Phi 3 Mini 4K Instruct Parameters and Internals

Model Type 
vision-language, multimodal
Training Details 
Data Sources:
LCS-558K, LLaVA-Instruct-665K
Methodology:
Pretraining: Only Vision-to-Language projector is trained, rest of the model is frozen. Fine-tuning: LLM is LoRA fine-tuned, vision-backbone (CLIP) is kept frozen.
LLM NameLLaVA Phi 3 Mini 4K Instruct
Repository 🤗https://huggingface.co/MBZUAI/LLaVA-Phi-3-mini-4k-instruct 
Model Size4.1b
Required VRAM8.3 GB
Updated2025-02-22
MaintainerMBZUAI
Model Typellava_phi
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   3.3 GB: 2-of-2
Model ArchitectureLlavaPhiForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.41.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32038
Torch Data Typefloat16

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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