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tensorblock/6uvsoomJ_magnet_mntp_msg-llama3.2-3b-GGUF
6uvsoomJ_magnet_mntp_msg-llama3.2-3b-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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Downloads · 30 days
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.gguf3.1 GB · 100%
From the Hugging Face model README
This repo contains GGUF format model files for 6uvsoomJ/magnet_mntp_msg-llama3.2-3b.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5753.
Unable to determine prompt format automatically. Please check the original model repository for the correct prompt format.
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| magnet_mntp_msg-llama3.2-3b-Q2_K.gguf | Q2_K | 1.364 GB | smallest, significant quality loss - not recommended for most purposes |
| magnet_mntp_msg-llama3.2-3b-Q3_K_S.gguf | Q3_K_S | 1.543 GB | very small, high quality loss |
| magnet_mntp_msg-llama3.2-3b-Q3_K_M.gguf | Q3_K_M | 1.687 GB | very small, high quality loss |
| magnet_mntp_msg-llama3.2-3b-Q3_K_L.gguf | Q3_K_L | 1.815 GB | small, substantial quality loss |
| magnet_mntp_msg-llama3.2-3b-Q4_0.gguf | Q4_0 | 1.917 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| magnet_mntp_msg-llama3.2-3b-Q4_K_S.gguf | Q4_K_S | 1.928 GB | small, greater quality loss |
| magnet_mntp_msg-llama3.2-3b-Q4_K_M.gguf | Q4_K_M | 2.019 GB | medium, balanced quality - recommended |
| magnet_mntp_msg-llama3.2-3b-Q5_0.gguf | Q5_0 | 2.270 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| magnet_mntp_msg-llama3.2-3b-Q5_K_S.gguf | Q5_K_S | 2.270 GB | large, low quality loss - recommended |
| magnet_mntp_msg-llama3.2-3b-Q5_K_M.gguf | Q5_K_M | 2.322 GB | large, very low quality loss - recommended |
| magnet_mntp_msg-llama3.2-3b-Q6_K.gguf | Q6_K | 2.644 GB | very large, extremely low quality loss |
| magnet_mntp_msg-llama3.2-3b-Q8_0.gguf | Q8_0 | 3.422 GB | very large, extremely low quality loss - not recommended |
Firstly, install Huggingface Client
pip install -U "huggingface_hub[cli]"
Then, downoad the individual model file the a local directory
huggingface-cli download tensorblock/6uvsoomJ_magnet_mntp_msg-llama3.2-3b-GGUF --include "magnet_mntp_msg-llama3.2-3b-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/6uvsoomJ_magnet_mntp_msg-llama3.2-3b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'