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Vip Llava 7B by mucai

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Vip Llava 7B is an open-source language model by mucai. Features: 7b LLM, VRAM: 14.2GB, Context: 4K, LLM Explorer Score: 0.11.

  Arxiv:2312.00784   Llava   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/mucai/vip-llava-7b 

Vip Llava 7B Benchmarks

LLME Score: 0.11416
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vip Llava 7B (mucai/vip-llava-7b)
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Vip Llava 7B Parameters and Internals

Model Type 
auto-regressive, multimodal, chatbot
Use Cases 
Areas:
research, chatbots
Primary Use Cases:
research on large multimodal models
Training Details 
Data Sources:
LAION, CC, SBU, LLaVA-1.5, GPT-4V
Methodology:
fine-tuning
Model Architecture:
transformer
LLM NameVip Llava 7B
Repository 🤗https://huggingface.co/mucai/vip-llava-7b 
Model Size7b
Required VRAM14.2 GB
Updated2026-03-20
Maintainermucai
Model Typellava
Model Files  10.0 GB: 1-of-2   4.2 GB: 2-of-2
Model ArchitectureLlavaLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk 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 mucai/vip-llava-7b.

Rank the Vip Llava 7B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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