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Llava Next Vicuna 7B M3 by mucai

 »  All LLMs  »  mucai  »  Llava Next Vicuna 7B M3   URL Share it on

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  Arxiv:2405.17430   Autotrain compatible   Llava llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mucai/llava-next-vicuna-7b-m3 

Llava Next Vicuna 7B M3 Benchmarks

LLME Score: 0.18716
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llava Next Vicuna 7B M3 (mucai/llava-next-vicuna-7b-m3)

Llava Next Vicuna 7B M3 Parameters and Internals

Model Type 
auto-regressive language model, transformer architecture, multimodal
Use Cases 
Applications:
research on large multimodal models and chatbots
Training Details 
Data Sources:
LAION, CC, SBU
Data Volume:
558K filtered image-text pairs; 665K image level instruction data
Methodology:
fine-tuning on visual conversation data
Model Architecture:
transformer architecture
LLM NameLlava Next Vicuna 7B M3
Repository 🤗https://huggingface.co/mucai/llava-next-vicuna-7b-m3 
Model Size7b
Required VRAM14.1 GB
Updated2025-03-13
Maintainermucai
Model Typellava_llama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.2 GB: 3-of-3   0.0 GB
Model ArchitectureLlavaLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.36.2
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 mucai/llava-next-vicuna-7b-m3.

Rank the Llava Next Vicuna 7B M3 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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