Ambari-7B-base-v0.1-sharded-GGUF

tensorblock/Ambari-7B-base-v0.1-sharded-GGUF

Ambari-7B-base-v0.1-sharded-GGUF is a text generation model from tensorblock. Use it when you need the model to write or continue text. The card lists the license as mit.

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Downloads · 30 days

3% of all-time downloads

All-time downloads

2.1K

Public

Repo size

52.2 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf6 GB · 100%

At a glance

Task: Text Generation
License: mit
Access: Public
Created: Dec 21, 2024
Updated: Jan 27, 2026
SHA: 73bc212e

Try a prompt

Base models

fierysurf/Ambari-7B-base-v0.1-sharded

Model card

From the Hugging Face model README

fierysurf/Ambari-7B-base-v0.1-sharded - GGUF

This repo contains GGUF format model files for fierysurf/Ambari-7B-base-v0.1-sharded.

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
Ambari-7B-base-v0.1-sharded-Q2_K.gguf	Q2_K	2.616 GB	smallest, significant quality loss - not recommended for most purposes
Ambari-7B-base-v0.1-sharded-Q3_K_S.gguf	Q3_K_S	3.039 GB	very small, high quality loss
Ambari-7B-base-v0.1-sharded-Q3_K_M.gguf	Q3_K_M	3.389 GB	very small, high quality loss
Ambari-7B-base-v0.1-sharded-Q3_K_L.gguf	Q3_K_L	3.688 GB	small, substantial quality loss
Ambari-7B-base-v0.1-sharded-Q4_0.gguf	Q4_0	3.926 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Ambari-7B-base-v0.1-sharded-Q4_K_S.gguf	Q4_K_S	3.957 GB	small, greater quality loss
Ambari-7B-base-v0.1-sharded-Q4_K_M.gguf	Q4_K_M	4.181 GB	medium, balanced quality - recommended
Ambari-7B-base-v0.1-sharded-Q5_0.gguf	Q5_0	4.761 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Ambari-7B-base-v0.1-sharded-Q5_K_S.gguf	Q5_K_S	4.761 GB	large, low quality loss - recommended
Ambari-7B-base-v0.1-sharded-Q5_K_M.gguf	Q5_K_M	4.892 GB	large, very low quality loss - recommended
Ambari-7B-base-v0.1-sharded-Q6_K.gguf	Q6_K	5.648 GB	very large, extremely low quality loss
Ambari-7B-base-v0.1-sharded-Q8_0.gguf	Q8_0	7.315 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/Ambari-7B-base-v0.1-sharded-GGUF --include "Ambari-7B-base-v0.1-sharded-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/Ambari-7B-base-v0.1-sharded-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'

Task: Text Generation
License: mit
Languages: en, kn
Created: Dec 21, 2024
Updated: Jan 27, 2026