Text Generation
Transformers
GGUF
English
Not-For-All-Audiences
TensorBlock
GGUF
Eval Results
Inference Endpoints
TensorBlock

Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server

acrastt/OmegLLaMA-3B - GGUF

This repo contains GGUF format model files for acrastt/OmegLLaMA-3B.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.

Prompt template


Model file specification

Filename Quant type File Size Description
OmegLLaMA-3B-Q2_K.gguf Q2_K 1.844 GB smallest, significant quality loss - not recommended for most purposes
OmegLLaMA-3B-Q3_K_S.gguf Q3_K_S 1.844 GB very small, high quality loss
OmegLLaMA-3B-Q3_K_M.gguf Q3_K_M 1.992 GB very small, high quality loss
OmegLLaMA-3B-Q3_K_L.gguf Q3_K_L 2.062 GB small, substantial quality loss
OmegLLaMA-3B-Q4_0.gguf Q4_0 1.844 GB legacy; small, very high quality loss - prefer using Q3_K_M
OmegLLaMA-3B-Q4_K_S.gguf Q4_K_S 2.238 GB small, greater quality loss
OmegLLaMA-3B-Q4_K_M.gguf Q4_K_M 2.403 GB medium, balanced quality - recommended
OmegLLaMA-3B-Q5_0.gguf Q5_0 2.231 GB legacy; medium, balanced quality - prefer using Q4_K_M
OmegLLaMA-3B-Q5_K_S.gguf Q5_K_S 2.424 GB large, low quality loss - recommended
OmegLLaMA-3B-Q5_K_M.gguf Q5_K_M 2.568 GB large, very low quality loss - recommended
OmegLLaMA-3B-Q6_K.gguf Q6_K 3.392 GB very large, extremely low quality loss
OmegLLaMA-3B-Q8_0.gguf Q8_0 3.392 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/OmegLLaMA-3B-GGUF --include "OmegLLaMA-3B-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/OmegLLaMA-3B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
158
GGUF
Model size
3.43B params
Architecture
llama

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for tensorblock/OmegLLaMA-3B-GGUF

Quantized
(3)
this model

Dataset used to train tensorblock/OmegLLaMA-3B-GGUF

Evaluation results