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allura-org/Q3-30b-A3b-Pentiment - GGUF

This repo contains GGUF format model files for allura-org/Q3-30b-A3b-Pentiment.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5753.

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Prompt template

<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant

Model file specification

Filename Quant type File Size Description
Q3-30b-A3b-Pentiment-Q2_K.gguf Q2_K 11.259 GB smallest, significant quality loss - not recommended for most purposes
Q3-30b-A3b-Pentiment-Q3_K_S.gguf Q3_K_S 13.292 GB very small, high quality loss
Q3-30b-A3b-Pentiment-Q3_K_M.gguf Q3_K_M 14.712 GB very small, high quality loss
Q3-30b-A3b-Pentiment-Q3_K_L.gguf Q3_K_L 15.901 GB small, substantial quality loss
Q3-30b-A3b-Pentiment-Q4_0.gguf Q4_0 17.304 GB legacy; small, very high quality loss - prefer using Q3_K_M
Q3-30b-A3b-Pentiment-Q4_K_S.gguf Q4_K_S 17.456 GB small, greater quality loss
Q3-30b-A3b-Pentiment-Q4_K_M.gguf Q4_K_M 18.557 GB medium, balanced quality - recommended
Q3-30b-A3b-Pentiment-Q5_0.gguf Q5_0 21.081 GB legacy; medium, balanced quality - prefer using Q4_K_M
Q3-30b-A3b-Pentiment-Q5_K_S.gguf Q5_K_S 21.081 GB large, low quality loss - recommended
Q3-30b-A3b-Pentiment-Q5_K_M.gguf Q5_K_M 21.726 GB large, very low quality loss - recommended
Q3-30b-A3b-Pentiment-Q6_K.gguf Q6_K 25.093 GB very large, extremely low quality loss
Q3-30b-A3b-Pentiment-Q8_0.gguf Q8_0 32.484 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/allura-org_Q3-30b-A3b-Pentiment-GGUF --include "Q3-30b-A3b-Pentiment-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/allura-org_Q3-30b-A3b-Pentiment-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
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GGUF
Model size
30.5B params
Architecture
qwen3moe
Hardware compatibility
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