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mistralai/Mistral-Small-24B-Instruct-2501 - GGUF

This repo contains GGUF format model files for mistralai/Mistral-Small-24B-Instruct-2501.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit ec7f3ac.

Prompt template

<s>[SYSTEM_PROMPT]{system_prompt}[/SYSTEM_PROMPT][INST]{prompt}[/INST]

Model file specification

Filename Quant type File Size Description
Mistral-Small-24B-Instruct-2501-Q2_K.gguf Q2_K 8.890 GB smallest, significant quality loss - not recommended for most purposes
Mistral-Small-24B-Instruct-2501-Q3_K_S.gguf Q3_K_S 10.400 GB very small, high quality loss
Mistral-Small-24B-Instruct-2501-Q3_K_M.gguf Q3_K_M 11.474 GB very small, high quality loss
Mistral-Small-24B-Instruct-2501-Q3_K_L.gguf Q3_K_L 12.401 GB small, substantial quality loss
Mistral-Small-24B-Instruct-2501-Q4_0.gguf Q4_0 13.442 GB legacy; small, very high quality loss - prefer using Q3_K_M
Mistral-Small-24B-Instruct-2501-Q4_K_S.gguf Q4_K_S 13.549 GB small, greater quality loss
Mistral-Small-24B-Instruct-2501-Q4_K_M.gguf Q4_K_M 14.334 GB medium, balanced quality - recommended
Mistral-Small-24B-Instruct-2501-Q5_0.gguf Q5_0 16.304 GB legacy; medium, balanced quality - prefer using Q4_K_M
Mistral-Small-24B-Instruct-2501-Q5_K_S.gguf Q5_K_S 16.304 GB large, low quality loss - recommended
Mistral-Small-24B-Instruct-2501-Q5_K_M.gguf Q5_K_M 16.764 GB large, very low quality loss - recommended
Mistral-Small-24B-Instruct-2501-Q6_K.gguf Q6_K 19.346 GB very large, extremely low quality loss
Mistral-Small-24B-Instruct-2501-Q8_0.gguf Q8_0 25.055 GB very large, extremely low quality loss - not recommended

Downloading instruction

Command line

Firstly, install Huggingface Client

pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

huggingface-cli download tensorblock/Mistral-Small-24B-Instruct-2501-GGUF --include "Mistral-Small-24B-Instruct-2501-Q2_K.gguf" --local-dir MY_LOCAL_DIR

If you wanna download multiple model files with a pattern (e.g., *Q4_K*gguf), you can try:

huggingface-cli download tensorblock/Mistral-Small-24B-Instruct-2501-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
179
GGUF
Model size
23.6B params
Architecture
llama

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Inference Providers NEW
This model is not currently available via any of the supported third-party Inference Providers, and HF Inference API has been turned off for this model.

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