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Llm Jp 3 8x13b Instruct3 by llm-jp

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Model Card on HF 🤗: https://huggingface.co/llm-jp/llm-jp-3-8x13b-instruct3 

Llm Jp 3 8x13b Instruct3 Benchmarks

LLME Score: 0.23276
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llm Jp 3 8x13b Instruct3 (llm-jp/llm-jp-3-8x13b-instruct3)
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Llm Jp 3 8x13b Instruct3 Parameters and Internals

LLM NameLlm Jp 3 8x13b Instruct3
Repository 🤗https://huggingface.co/llm-jp/llm-jp-3-8x13b-instruct3 
Model Size73.2b
Required VRAM147.2 GB
Updated2025-09-23
Maintainerllm-jp
Model Typemixtral
Model Files  5.0 GB: 1-of-30   4.9 GB: 2-of-30   4.9 GB: 3-of-30   5.0 GB: 4-of-30   4.9 GB: 5-of-30   4.9 GB: 6-of-30   5.0 GB: 7-of-30   4.9 GB: 8-of-30   4.9 GB: 9-of-30   5.0 GB: 10-of-30   4.9 GB: 11-of-30   5.0 GB: 12-of-30   4.9 GB: 13-of-30   4.9 GB: 14-of-30   5.0 GB: 15-of-30   4.9 GB: 16-of-30   4.9 GB: 17-of-30   5.0 GB: 18-of-30   4.9 GB: 19-of-30   4.9 GB: 20-of-30   5.0 GB: 21-of-30   4.9 GB: 22-of-30   5.0 GB: 23-of-30   5.0 GB: 24-of-30   4.9 GB: 25-of-30   5.0 GB: 26-of-30   4.9 GB: 27-of-30   4.9 GB: 28-of-30   5.0 GB: 29-of-30   3.9 GB: 30-of-30
Supported Languagesen ja
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.47.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<PAD|LLM-jp>
Vocabulary Size99584
Torch Data Typebfloat16

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Llm Jp 3.1 8x13b Instruct44K / 147.2 GB4923
Note: green Score (e.g. "73.2") means that the model is better than llm-jp/llm-jp-3-8x13b-instruct3.

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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 v20241124
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