Codestral-22B-v0.1-GGUF

Original Model

mistralai/Codestral-22B-v0.1

Run with Gaianet

Prompt template

prompt template: mistral-instruct

Context size

chat_ctx_size: 32000

Run with GaiaNet

• Quick start: https://docs.gaianet.ai/node-guide/quick-start

• Customize your node: https://docs.gaianet.ai/node-guide/customize

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
Codestral-22B-v0.1-hf-Q2_K.gguf	Q2_K	2	8.27 GB	smallest, significant quality loss - not recommended for most purposes
Codestral-22B-v0.1-hf-Q3_K_L.gguf	Q3_K_L	3	11.7 GB	small, substantial quality loss
Codestral-22B-v0.1-hf-Q3_K_M.gguf	Q3_K_M	3	10.8 GB	very small, high quality loss
Codestral-22B-v0.1-hf-Q3_K_S.gguf	Q3_K_S	3	9.64 GB	very small, high quality loss
Codestral-22B-v0.1-hf-Q4_0.gguf	Q4_0	4	12.6 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Codestral-22B-v0.1-hf-Q4_K_M.gguf	Q4_K_M	4	13.3 GB	medium, balanced quality - recommended
Codestral-22B-v0.1-hf-Q4_K_S.gguf	Q4_K_S	4	12.7 GB	small, greater quality loss
Codestral-22B-v0.1-hf-Q5_0.gguf	Q5_0	5	15.3 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Codestral-22B-v0.1-hf-Q5_K_M.gguf	Q5_K_M	5	15.7 GB	large, very low quality loss - recommended
Codestral-22B-v0.1-hf-Q5_K_S.gguf	Q5_K_S	5	15.3 GB	large, low quality loss - recommended
Codestral-22B-v0.1-hf-Q6_K.gguf	Q6_K	6	18.3 GB	very large, extremely low quality loss
Codestral-22B-v0.1-hf-Q8_0.gguf	Q8_0	8	23.6 GB	very large, extremely low quality loss - not recommended
Codestral-22B-v0.1-hf-f16.gguf	f16	16	44.5 GB

Quantized with llama.cpp b3030.