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sn29_dec_05-GGUF
tensorblock/sn29_dec_05-GGUF
sn29_dec_05-GGUF is a machine learning model from tensorblock. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
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All-time downloads
731
Public
Repo size
71.1 GB
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0
Public
Repo makeup
Click a slice to open those files.
.gguf3.8 GB · 100%
At a glance
- Library
- transformers
- Access
- Public
- Created
- Jan 1, 2025
- Updated
- Jan 27, 2026
- SHA
- 1e2abd24
Base models
Model card
From the Hugging Face model README
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mci29/sn29_dec_05 - GGUF
This repo contains GGUF format model files for mci29/sn29_dec_05.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.
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Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| sn29_dec_05-Q2_K.gguf | Q2_K | 3.778 GB | smallest, significant quality loss - not recommended for most purposes |
| sn29_dec_05-Q3_K_S.gguf | Q3_K_S | 4.335 GB | very small, high quality loss |
| sn29_dec_05-Q3_K_M.gguf | Q3_K_M | 4.712 GB | very small, high quality loss |
| sn29_dec_05-Q3_K_L.gguf | Q3_K_L | 4.929 GB | small, substantial quality loss |
| sn29_dec_05-Q4_0.gguf | Q4_0 | 5.169 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| sn29_dec_05-Q4_K_S.gguf | Q4_K_S | 5.473 GB | small, greater quality loss |
| sn29_dec_05-Q4_K_M.gguf | Q4_K_M | 5.875 GB | medium, balanced quality - recommended |
| sn29_dec_05-Q5_0.gguf | Q5_0 | 6.242 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| sn29_dec_05-Q5_K_S.gguf | Q5_K_S | 6.386 GB | large, low quality loss - recommended |
| sn29_dec_05-Q5_K_M.gguf | Q5_K_M | 6.729 GB | large, very low quality loss - recommended |
| sn29_dec_05-Q6_K.gguf | Q6_K | 7.939 GB | very large, extremely low quality loss |
| sn29_dec_05-Q8_0.gguf | Q8_0 | 9.559 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/sn29_dec_05-GGUF --include "sn29_dec_05-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/sn29_dec_05-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
- Library
- transformers
- Created
- Jan 1, 2025
- Updated
- Jan 27, 2026