TensorBlock

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

soob3123/amoral-gemma3-12B-v2 - GGUF

This repo contains GGUF format model files for soob3123/amoral-gemma3-12B-v2.

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

Our projects

Awesome MCP Servers TensorBlock Studio
Project A Project B
A comprehensive collection of Model Context Protocol (MCP) servers. A lightweight, open, and extensible multi-LLM interaction studio.
👀 See what we built 👀 👀 See what we built 👀

Prompt template

<bos><start_of_turn>user
{system_prompt}

{prompt}<end_of_turn>
<start_of_turn>model

Model file specification

Filename Quant type File Size Description
amoral-gemma3-12B-v2-Q2_K.gguf Q2_K 4.768 GB smallest, significant quality loss - not recommended for most purposes
amoral-gemma3-12B-v2-Q3_K_S.gguf Q3_K_S 5.458 GB very small, high quality loss
amoral-gemma3-12B-v2-Q3_K_M.gguf Q3_K_M 6.009 GB very small, high quality loss
amoral-gemma3-12B-v2-Q3_K_L.gguf Q3_K_L 6.480 GB small, substantial quality loss
amoral-gemma3-12B-v2-Q4_0.gguf Q4_0 6.887 GB legacy; small, very high quality loss - prefer using Q3_K_M
amoral-gemma3-12B-v2-Q4_K_S.gguf Q4_K_S 6.935 GB small, greater quality loss
amoral-gemma3-12B-v2-Q4_K_M.gguf Q4_K_M 7.301 GB medium, balanced quality - recommended
amoral-gemma3-12B-v2-Q5_0.gguf Q5_0 8.232 GB legacy; medium, balanced quality - prefer using Q4_K_M
amoral-gemma3-12B-v2-Q5_K_S.gguf Q5_K_S 8.232 GB large, low quality loss - recommended
amoral-gemma3-12B-v2-Q5_K_M.gguf Q5_K_M 8.445 GB large, very low quality loss - recommended
amoral-gemma3-12B-v2-Q6_K.gguf Q6_K 9.661 GB very large, extremely low quality loss
amoral-gemma3-12B-v2-Q8_0.gguf Q8_0 12.510 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/soob3123_amoral-gemma3-12B-v2-GGUF --include "amoral-gemma3-12B-v2-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/soob3123_amoral-gemma3-12B-v2-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
158
GGUF
Model size
11.8B params
Architecture
gemma3
Hardware compatibility
Log In to view the estimation

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for tensorblock/soob3123_amoral-gemma3-12B-v2-GGUF

Quantized
(6)
this model

Dataset used to train tensorblock/soob3123_amoral-gemma3-12B-v2-GGUF