blossom-v5.1-9b-GGUF

tensorblock/blossom-v5.1-9b-GGUF

blossom-v5.1-9b-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

4% of all-time downloads

All-time downloads

1.9K

Public

Repo size

66.8 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf7.7 GB · 100%

At a glance

License: apache-2.0
Access: Public
Created: Dec 8, 2024
Updated: Jan 27, 2026
SHA: 83a575ac

Base models

Azure99/blossom-v5.1-9b

Datasets

Model card

From the Hugging Face model README

Azure99/blossom-v5.1-9b - GGUF

This repo contains GGUF format model files for Azure99/blossom-v5.1-9b.

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

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Model file specification

Filename	Quant type	File Size	Description
blossom-v5.1-9b-Q2_K.gguf	Q2_K	3.354 GB	smallest, significant quality loss - not recommended for most purposes
blossom-v5.1-9b-Q3_K_S.gguf	Q3_K_S	3.899 GB	very small, high quality loss
blossom-v5.1-9b-Q3_K_M.gguf	Q3_K_M	4.324 GB	very small, high quality loss
blossom-v5.1-9b-Q3_K_L.gguf	Q3_K_L	4.691 GB	small, substantial quality loss
blossom-v5.1-9b-Q4_0.gguf	Q4_0	5.037 GB	legacy; small, very high quality loss - prefer using Q3_K_M
blossom-v5.1-9b-Q4_K_S.gguf	Q4_K_S	5.072 GB	small, greater quality loss
blossom-v5.1-9b-Q4_K_M.gguf	Q4_K_M	5.329 GB	medium, balanced quality - recommended
blossom-v5.1-9b-Q5_0.gguf	Q5_0	6.108 GB	legacy; medium, balanced quality - prefer using Q4_K_M
blossom-v5.1-9b-Q5_K_S.gguf	Q5_K_S	6.108 GB	large, low quality loss - recommended
blossom-v5.1-9b-Q5_K_M.gguf	Q5_K_M	6.258 GB	large, very low quality loss - recommended
blossom-v5.1-9b-Q6_K.gguf	Q6_K	7.246 GB	very large, extremely low quality loss
blossom-v5.1-9b-Q8_0.gguf	Q8_0	9.384 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/blossom-v5.1-9b-GGUF --include "blossom-v5.1-9b-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/blossom-v5.1-9b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'

License: apache-2.0
Languages: zh, en
Created: Dec 8, 2024
Updated: Jan 27, 2026