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Chatvector Llava V1.5 Plus Houou V3 7B by shinyice

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Chatvector Llava V1.5 Plus Houou V3 7B is an open-source language model by shinyice. Features: 7b LLM, VRAM: 14.1GB, Context: 4K, License: cc-by-nc-4.0, LLM Explorer Score: 0.13.

  Arxiv:2310.04799   Autotrain compatible   Endpoints compatible   Image-captioning   Ja   Llava llama   Region:us   Safetensors   Sharded   Tensorflow   Vision
Model Card on HF 🤗: https://huggingface.co/shinyice/chatvector-llava-v1.5-plus-houou-v3-7b 

Chatvector Llava V1.5 Plus Houou V3 7B Benchmarks

LLME Score: 0.12984
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Chatvector Llava V1.5 Plus Houou V3 7B (shinyice/chatvector-llava-v1.5-plus-houou-v3-7b)
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Chatvector Llava V1.5 Plus Houou V3 7B Parameters and Internals

Model Type 
vision, image-captioning
Supported Languages 
ja (proficient)
LLM NameChatvector Llava V1.5 Plus Houou V3 7B
Repository 🤗https://huggingface.co/shinyice/chatvector-llava-v1.5-plus-houou-v3-7b 
Model Size7b
Required VRAM14.1 GB
Updated2025-10-16
Maintainershinyice
Model Typellava_llama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.2 GB: 3-of-3
Supported Languagesja
Model ArchitectureLlavaLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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...va 1.5 Image Classification V34K / 23.3 GB14140
Vlm Rlaif Video Llava 7b4K / 14.2 GB130
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Som Llava V1.5 7B4K / 14.1 GB1090
Llava V1.5 7B M34K / 14.1 GB502
Note: green Score (e.g. "73.2") means that the model is better than shinyice/chatvector-llava-v1.5-plus-houou-v3-7b.

Rank the Chatvector Llava V1.5 Plus Houou V3 7B 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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