Multilingual-mistral-GGUF

tensorblock/Multilingual-mistral-GGUF

Multilingual-mistral-GGUF is a machine learning model from tensorblock. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

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Downloads · 30 days

195

10% of all-time downloads

All-time downloads

Public

Repo size

352 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf17.3 GB · 100%

At a glance

License: apache-2.0
Access: Public
Created: Dec 18, 2024
Updated: Jan 27, 2026
SHA: 2abea2a5

Base models

gagan3012/Multilingual-mistral

Model card

From the Hugging Face model README

gagan3012/Multilingual-mistral - GGUF

This repo contains GGUF format model files for gagan3012/Multilingual-mistral.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.

Our projects

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Model file specification

Filename	Quant type	File Size	Description
Multilingual-mistral-Q2_K.gguf	Q2_K	17.311 GB	smallest, significant quality loss - not recommended for most purposes
Multilingual-mistral-Q3_K_S.gguf	Q3_K_S	20.433 GB	very small, high quality loss
Multilingual-mistral-Q3_K_M.gguf	Q3_K_M	22.546 GB	very small, high quality loss
Multilingual-mistral-Q3_K_L.gguf	Q3_K_L	24.170 GB	small, substantial quality loss
Multilingual-mistral-Q4_0.gguf	Q4_0	26.444 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Multilingual-mistral-Q4_K_S.gguf	Q4_K_S	26.746 GB	small, greater quality loss
Multilingual-mistral-Q4_K_M.gguf	Q4_K_M	28.448 GB	medium, balanced quality - recommended
Multilingual-mistral-Q5_0.gguf	Q5_0	32.231 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Multilingual-mistral-Q5_K_S.gguf	Q5_K_S	32.231 GB	large, low quality loss - recommended
Multilingual-mistral-Q5_K_M.gguf	Q5_K_M	33.230 GB	large, very low quality loss - recommended
Multilingual-mistral-Q6_K.gguf	Q6_K	38.381 GB	very large, extremely low quality loss
Multilingual-mistral-Q8_0.gguf	Q8_0	49.626 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/Multilingual-mistral-GGUF --include "Multilingual-mistral-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/Multilingual-mistral-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'

License: apache-2.0
Created: Dec 18, 2024
Updated: Jan 27, 2026