FINDA-FIT_xllama-instruct-GGUF

tensorblock/FINDA-FIT_xllama-instruct-GGUF

FINDA-FIT_xllama-instruct-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.

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Downloads · 30 days

11% of all-time downloads

All-time downloads

707

Public

Repo size

51.9 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf6 GB · 100%

At a glance

Access: Public
Created: May 2, 2025
Updated: Jan 27, 2026
SHA: bea9c2fe

Base models

FINDA-FIT/xllama-instruct

Model card

From the Hugging Face model README

FINDA-FIT/xllama-instruct - GGUF

This repo contains GGUF format model files for FINDA-FIT/xllama-instruct.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5165.

Our projects

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Prompt template

Unable to determine prompt format automatically. Please check the original model repository for the correct prompt format.

Model file specification

Filename	Quant type	File Size	Description
xllama-instruct-Q2_K.gguf	Q2_K	2.601 GB	smallest, significant quality loss - not recommended for most purposes
xllama-instruct-Q3_K_S.gguf	Q3_K_S	3.022 GB	very small, high quality loss
xllama-instruct-Q3_K_M.gguf	Q3_K_M	3.372 GB	very small, high quality loss
xllama-instruct-Q3_K_L.gguf	Q3_K_L	3.671 GB	small, substantial quality loss
xllama-instruct-Q4_0.gguf	Q4_0	3.907 GB	legacy; small, very high quality loss - prefer using Q3_K_M
xllama-instruct-Q4_K_S.gguf	Q4_K_S	3.938 GB	small, greater quality loss
xllama-instruct-Q4_K_M.gguf	Q4_K_M	4.163 GB	medium, balanced quality - recommended
xllama-instruct-Q5_0.gguf	Q5_0	4.741 GB	legacy; medium, balanced quality - prefer using Q4_K_M
xllama-instruct-Q5_K_S.gguf	Q5_K_S	4.741 GB	large, low quality loss - recommended
xllama-instruct-Q5_K_M.gguf	Q5_K_M	4.872 GB	large, very low quality loss - recommended
xllama-instruct-Q6_K.gguf	Q6_K	5.626 GB	very large, extremely low quality loss
xllama-instruct-Q8_0.gguf	Q8_0	7.286 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/FINDA-FIT_xllama-instruct-GGUF --include "xllama-instruct-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/FINDA-FIT_xllama-instruct-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'

Created: May 2, 2025
Updated: Jan 27, 2026