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Codestral High Quality Sft by MrezaPRZ

 »  All LLMs  »  MrezaPRZ  »  Codestral High Quality Sft   URL Share it on

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  Arxiv:1910.09700   Autotrain compatible   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/MrezaPRZ/codestral_high_quality_sft 

Codestral High Quality Sft Benchmarks

LLME Score: 0.1938
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Codestral High Quality Sft (MrezaPRZ/codestral_high_quality_sft)

Codestral High Quality Sft Parameters and Internals

LLM NameCodestral High Quality Sft
Repository 🤗https://huggingface.co/MrezaPRZ/codestral_high_quality_sft 
Model Size22b
Required VRAM44.7 GB
Updated2025-02-22
MaintainerMrezaPRZ
Model Typemistral
Model Files  4.9 GB: 1-of-9   5.0 GB: 2-of-9   5.0 GB: 3-of-9   4.9 GB: 4-of-9   5.0 GB: 5-of-9   5.0 GB: 6-of-9   4.9 GB: 7-of-9   5.0 GB: 8-of-9   5.0 GB: 9-of-9
Model ArchitectureMistralForCausalLM
LicenseMNPL-0.1
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32768
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than MrezaPRZ/codestral_high_quality_sft.

Rank the Codestral High Quality Sft 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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