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Sponsored by
Agentkit
tensorblock / codegemma-7b-it-GGUF
Model's Last Updated: July 09 2025
text-generation
Introduction of codegemma-7b-it-GGUF
Model Details of codegemma-7b-it-GGUF
Feedback and support: TensorBlock's Twitter/X , Telegram Group and Discord server
google/codegemma-7b-it - GGUF
This repo contains GGUF format model files for google/codegemma-7b-it .
The files were quantized using machines provided by TensorBlock , and they are compatible with llama.cpp as of commit b4011 .
Prompt template
<bos><start_of_turn>user
{prompt}<end_of_turn>
<start_of_turn>model
Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| codegemma-7b-it-Q2_K.gguf | Q2_K | 3.481 GB | smallest, significant quality loss - not recommended for most purposes |
| codegemma-7b-it-Q3_K_S.gguf | Q3_K_S | 3.982 GB | very small, high quality loss |
| codegemma-7b-it-Q3_K_M.gguf | Q3_K_M | 4.369 GB | very small, high quality loss |
| codegemma-7b-it-Q3_K_L.gguf | Q3_K_L | 4.709 GB | small, substantial quality loss |
| codegemma-7b-it-Q4_0.gguf | Q4_0 | 5.012 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| codegemma-7b-it-Q4_K_S.gguf | Q4_K_S | 5.046 GB | small, greater quality loss |
| codegemma-7b-it-Q4_K_M.gguf | Q4_K_M | 5.330 GB | medium, balanced quality - recommended |
| codegemma-7b-it-Q5_0.gguf | Q5_0 | 5.981 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| codegemma-7b-it-Q5_K_S.gguf | Q5_K_S | 5.981 GB | large, low quality loss - recommended |
| codegemma-7b-it-Q5_K_M.gguf | Q5_K_M | 6.145 GB | large, very low quality loss - recommended |
| codegemma-7b-it-Q6_K.gguf | Q6_K | 7.010 GB | very large, extremely low quality loss |
| codegemma-7b-it-Q8_0.gguf | Q8_0 | 9.078 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/codegemma-7b-it-GGUF --include "codegemma-7b-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/codegemma-7b-it-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Runs of tensorblock codegemma-7b-it-GGUF on huggingface.co
533
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24-hour runs
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30-day runs
More Information About codegemma-7b-it-GGUF huggingface.co Model
Url of codegemma-7b-it-GGUF
codegemma-7b-it-GGUF huggingface.co Url
Provider of codegemma-7b-it-GGUF huggingface.co
Other API from tensorblock
Updated:July 09 2025
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