Llama 3 Umievo Shizuko Sqlcoder 2x8B by keitokei1994

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Llama 3 Umievo Shizuko Sqlcoder 2x8B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 Umievo Shizuko Sqlcoder 2x8B (keitokei1994/Llama-3-Umievo-Shizuko-sqlcoder-2x8B)

Llama 3 Umievo Shizuko Sqlcoder 2x8B Parameters and Internals

Model Type 
Mixture of Experts (MoE)
Use Cases 
Primary Use Cases:
Japanese language processing, SQL generation
Additional Notes 
It uses the Q4_K_M quantized model and is tested using Llama.cpp and LMstudio.
Supported Languages 
English (full proficiency), Japanese (full proficiency)
LLM NameLlama 3 Umievo Shizuko Sqlcoder 2x8B
Repository ๐Ÿค—https://huggingface.co/keitokei1994/Llama-3-Umievo-Shizuko-sqlcoder-2x8B 
Model Size13.7b
Required VRAM27.4 GB
Updated2025-04-22
Maintainerkeitokei1994
Model Typemixtral
Model Files  10.0 GB: 1-of-3   10.0 GB: 2-of-3   7.4 GB: 3-of-3
Supported Languagesja en
Model ArchitectureMixtralForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|begin_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than keitokei1994/Llama-3-Umievo-Shizuko-sqlcoder-2x8B.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227