Codestral 22B V0.1 GGUF by gaianet

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Codestral 22B V0.1 GGUF is an open-source language model by gaianet. Features: 22b LLM, VRAM: 8.3GB, Context: 32K, License: MNPL-0.1, Quantized, LLM Explorer Score: 0.13.

Base model:mistralai/codestral... Base model:quantized:mistralai...   Code   Gguf   Mistral   Q2   Quantized   Region:us

Codestral 22B V0.1 GGUF 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 GGUF Parameters and Internals

Model Type 
code
Additional Notes 
Codestral-22B-v0.1 quantized by Second State Inc using llama.cpp b3030
Input Output 
Input Format:
mistral-instruct
Accepted Modalities:
code
LLM NameCodestral 22B V0.1 GGUF
Repository 🤗https://huggingface.co/gaianet/Codestral-22B-v0.1-GGUF 
Model NameCodestral-22B-v0.1
Model Creatormistralai
Base Model(s)  mistralai/Codestral-22B-v0.1   mistralai/Codestral-22B-v0.1
Model Size22b
Required VRAM8.3 GB
Updated2026-05-25
Maintainergaianet
Model Typemistral
Model Files  8.3 GB   11.7 GB   10.8 GB   9.6 GB   12.6 GB   13.3 GB   12.7 GB   15.3 GB   15.7 GB   15.3 GB   18.3 GB   23.6 GB   44.5 GB
Supported Languagescode
GGUF QuantizationYes
Quantization Typegguf|q2|q4_k|q5_k
Model ArchitectureMistralForCausalLM
LicenseMNPL-0.1
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Vocabulary Size32768
Torch Data Typebfloat16

Best Alternatives to Codestral 22B V0.1 GGUF

Best Alternatives
Context / RAM
Downloads
Likes
Codestral 22B V0.1 GGUF32K / 8.3 GB3611
MwM 22B Instruct128K / 44.7 GB60
... Instruct 0.2 Chkpt 200 16 Bit128K / 44.7 GB61
Mistral 22B V0.2 GGUF64K / 8.3 GB882
...l 22B V0.1 Hf FIM Fix Bnb 4bit32K / 13.1 GB01
Text2cypher Codestral 16bit32K / 44.7 GB73
... Abliterated V3.8.0bpw H8 EXL232K / 21.2 GB21
Codestral 22B V0.1 EXL2 8.0bpw32K / 20.9 GB93
Codestral 22B V0.1 EXL2 5.0bpw32K / 14.2 GB51
Codestral 22B V0.1 EXL2 6.0bpw32K / 16.9 GB51
Note: green Score (e.g. "73.2") means that the model is better than gaianet/Codestral-22B-v0.1-GGUF.

Rank the Codestral 22B V0.1 GGUF Capabilities

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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 v20260328a