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tensorblock / gemma-3-12b-it-GGUF
Model's Last Updated: June 19 2025
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Introduction of gemma-3-12b-it-GGUF
Model Details of gemma-3-12b-it-GGUF
google/gemma-3-12b-it - GGUF
This repo contains GGUF format model files for google/gemma-3-12b-it .
The files were quantized using machines provided by TensorBlock , and they are compatible with llama.cpp as of commit b4882 .
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<bos><start_of_turn>user
{system_prompt}
{prompt}<end_of_turn>
<start_of_turn>model
Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| gemma-3-12b-it-Q2_K.gguf | Q2_K | 4.768 GB | smallest, significant quality loss - not recommended for most purposes |
| gemma-3-12b-it-Q3_K_S.gguf | Q3_K_S | 5.458 GB | very small, high quality loss |
| gemma-3-12b-it-Q3_K_M.gguf | Q3_K_M | 6.009 GB | very small, high quality loss |
| gemma-3-12b-it-Q3_K_L.gguf | Q3_K_L | 6.480 GB | small, substantial quality loss |
| gemma-3-12b-it-Q4_0.gguf | Q4_0 | 6.887 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| gemma-3-12b-it-Q4_K_S.gguf | Q4_K_S | 6.935 GB | small, greater quality loss |
| gemma-3-12b-it-Q4_K_M.gguf | Q4_K_M | 7.301 GB | medium, balanced quality - recommended |
| gemma-3-12b-it-Q5_0.gguf | Q5_0 | 8.232 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| gemma-3-12b-it-Q5_K_S.gguf | Q5_K_S | 8.232 GB | large, low quality loss - recommended |
| gemma-3-12b-it-Q5_K_M.gguf | Q5_K_M | 8.445 GB | large, very low quality loss - recommended |
| gemma-3-12b-it-Q6_K.gguf | Q6_K | 9.661 GB | very large, extremely low quality loss |
| gemma-3-12b-it-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/gemma-3-12b-it-GGUF --include "gemma-3-12b-it-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/gemma-3-12b-it-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Runs of tensorblock gemma-3-12b-it-GGUF on huggingface.co
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More Information About gemma-3-12b-it-GGUF huggingface.co Model
Url of gemma-3-12b-it-GGUF
gemma-3-12b-it-GGUF huggingface.co Url
Provider of gemma-3-12b-it-GGUF huggingface.co
Other API from tensorblock
Updated:July 09 2025
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