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Llava V1.5 7B M3 by mucai

 »  All LLMs  »  mucai  »  Llava V1.5 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-v1.5-7b-m3 

Llava V1.5 7B M3 Benchmarks

LLME Score: 0.17604
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llava V1.5 7B M3 (mucai/llava-v1.5-7b-m3)

Llava V1.5 7B M3 Parameters and Internals

Model Type 
multimodal, chatbot, auto-regressive, transformer
Use Cases 
Areas:
research
Applications:
large multimodal models, chatbots
Primary Use Cases:
use of visual granularities
Additional Notes 
Model serves as a metric for image/dataset complexity. Uses explicit control of visual granularities.
Training Details 
Data Sources:
LAION, CC, SBU, LLaVA-1.5
Data Volume:
558K filtered image-text pairs, 665K image level instruction data
Methodology:
Fine-tuning on visual conversation data
Model Architecture:
Transformer
LLM NameLlava V1.5 7B M3
Repository 🤗https://huggingface.co/mucai/llava-v1.5-7b-m3 
Model Size7b
Required VRAM14.1 GB
Updated2025-05-13
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-v1.5-7b-m3.

Rank the Llava V1.5 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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