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Sponsored by
YouArt
tensorblock / gemma-2b-coder-GGUF
Model's Last Updated: July 10 2025
text-generation
Introduction of gemma-2b-coder-GGUF
Model Details of gemma-2b-coder-GGUF
Feedback and support: TensorBlock's Twitter/X , Telegram Group and Discord server
MAISAAI/gemma-2b-coder - GGUF
This repo contains GGUF format model files for MAISAAI/gemma-2b-coder .
The files were quantized using machines provided by TensorBlock , and they are compatible with llama.cpp as of commit b4242 .
Our projects
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Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| gemma-2b-coder-Q2_K.gguf | Q2_K | 1.158 GB | smallest, significant quality loss - not recommended for most purposes |
| gemma-2b-coder-Q3_K_S.gguf | Q3_K_S | 1.288 GB | very small, high quality loss |
| gemma-2b-coder-Q3_K_M.gguf | Q3_K_M | 1.384 GB | very small, high quality loss |
| gemma-2b-coder-Q3_K_L.gguf | Q3_K_L | 1.466 GB | small, substantial quality loss |
| gemma-2b-coder-Q4_0.gguf | Q4_0 | 1.551 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| gemma-2b-coder-Q4_K_S.gguf | Q4_K_S | 1.560 GB | small, greater quality loss |
| gemma-2b-coder-Q4_K_M.gguf | Q4_K_M | 1.630 GB | medium, balanced quality - recommended |
| gemma-2b-coder-Q5_0.gguf | Q5_0 | 1.799 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| gemma-2b-coder-Q5_K_S.gguf | Q5_K_S | 1.799 GB | large, low quality loss - recommended |
| gemma-2b-coder-Q5_K_M.gguf | Q5_K_M | 1.840 GB | large, very low quality loss - recommended |
| gemma-2b-coder-Q6_K.gguf | Q6_K | 2.062 GB | very large, extremely low quality loss |
| gemma-2b-coder-Q8_0.gguf | Q8_0 | 2.669 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-2b-coder-GGUF --include "gemma-2b-coder-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-2b-coder-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Runs of tensorblock gemma-2b-coder-GGUF on huggingface.co
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More Information About gemma-2b-coder-GGUF huggingface.co Model
Url of gemma-2b-coder-GGUF
gemma-2b-coder-GGUF huggingface.co Url
Provider of gemma-2b-coder-GGUF huggingface.co
Other API from tensorblock
Updated:July 09 2025
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