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Codestral 22B V0.1 by mistralai

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  Autotrain compatible   Code   Conversational   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mistralai/Codestral-22B-v0.1 

Codestral 22B V0.1 Benchmarks

MMLU Pro: 23.95
GPQA: 6.49
MUSR: 10.74
BBH: 30.74
IFEval: 57.72 vs 88 (so35)-34.4%
MATH Lvl 5: 10.05
LLME Score: 0.50545
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Codestral 22B V0.1 (mistralai/Codestral-22B-v0.1)

Codestral 22B V0.1 Parameters and Internals

Model Type 
code generation
Use Cases 
Areas:
software development, question answering about code
Primary Use Cases:
generate code, write documentation, explain code, factorize code, predict middle tokens in code
Limitations:
no moderation mechanisms
Additional Notes 
Codestral-22B-v0.1 does not have any moderation mechanisms and is trained on a diverse dataset of 80+ programming languages.
Supported Languages 
Python (high), Java (high), C (high), C++ (high), JavaScript (high), Bash (high)
LLM NameCodestral 22B V0.1
Repository 🤗https://huggingface.co/mistralai/Codestral-22B-v0.1 
Model Size22b
Required VRAM44.7 GB
Updated2025-01-15
Maintainermistralai
Model Files  44.5 GB   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
Supported Languagescode
Gated ModelYes
Model ArchitectureAutoModelForCausalLM
LicenseMNPL-0.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768

Quantized Models of the Codestral 22B V0.1

Model
Likes
Downloads
VRAM
Codestral 22B V0.1 GGUF02078 GB
Codestral 22B V0.1 GGUF11258 GB
Text2cypher Codestral 16bit33344 GB
...xt2cypher Codestral 16bit Gguf03644 GB
...t2cypher Codestral Q4 K M Gguf31713 GB

Rank the Codestral 22B V0.1 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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Release v20241227
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