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Llava V1.5 7B M3 by mucai

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Llava V1.5 7B M3 is an open-source language model by mucai. Features: 7b LLM, VRAM: 14.1GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.13.

  Arxiv:2405.17430   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: 0.12962
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)
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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
Updated2026-06-21
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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Vlm Rlaif Video Llava 7b4K / 14.2 GB130
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...or Llava V1.5 Plus Houou V3 7B4K / 14.1 GB70
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

🆘 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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