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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: 0.45051
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
Updated2025-02-05
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 GGUF04248 GB
Codestral 22B V0.1 GGUF12508 GB
...t2cypher Codestral Q4 K M Gguf41913 GB
...xt2cypher Codestral 16bit Gguf02844 GB
Text2cypher Codestral 16bit31344 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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