Codestral 22B V0.1 by mistral-community

 ยป  All LLMs  ยป  mistral-community  ยป  Codestral 22B V0.1   URL Share it on

  Autotrain compatible   Code   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Codestral 22B V0.1 Benchmarks

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 (mistral-community/Codestral-22B-v0.1)

Codestral 22B V0.1 Parameters and Internals

Model Type 
code
Use Cases 
Primary Use Cases:
answering questions about code snippets, generating code, filling in the middle of code
Limitations:
does not have any moderation mechanisms
Additional Notes 
The model can be queried for instructive purposes or Fill in the Middle (FIM) tasks.
Supported Languages 
Programming Languages Supported (80+ including Python, Java, C, C++, JavaScript, Bash)
LLM NameCodestral 22B V0.1
Repository ๐Ÿค—https://huggingface.co/mistral-community/Codestral-22B-v0.1 
Model Size22b
Required VRAM44.7 GB
Updated2025-01-23
Maintainermistral-community
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
Supported Languagescode
Model ArchitectureMistralForCausalLM
LicenseMNPL-0.1
Context Length32768
Model Max Length32768
Transformers Version4.41.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typebfloat16

Best Alternatives to Codestral 22B V0.1

Best Alternatives
Context / RAM
Downloads
Likes
...ntheon RP Pure 1.6.2 22B Small128K / 44.7 GB20023
MS Meadowlark 22B128K / 44.7 GB26312
MS Schisandra 22B V0.2128K / 44.7 GB157
MS Fujin 2409 22B128K / 44.7 GB1500
MS A Coolyte 2409 22B128K / 44.7 GB1440
MS Moingooistral 2409 22B128K / 44.7 GB1440
MS Dampf 2409 22B128K / 44.7 GB1410
MS Inky 2409 22B128K / 44.7 GB770
MS Springydragon 2409 22B128K / 44.7 GB600
MS Physician 2409 22B128K / 44.7 GB530
Note: green Score (e.g. "73.2") means that the model is better than mistral-community/Codestral-22B-v0.1.

Rank the Codestral 22B V0.1 Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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  

What open-source LLMs or SLMs are you in search of? 41815 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227