library_name: transformers
tags:
- TensorBlock
- GGUF
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
chuanli11/Llama-3.2-3B-Instruct-uncensored - GGUF
This repo contains GGUF format model files for chuanli11/Llama-3.2-3B-Instruct-uncensored.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.
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Cutting Knowledge Date: December 2023
Today Date: 10 Nov 2024
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Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| Llama-3.2-3B-Instruct-uncensored-Q2_K.gguf | Q2_K | 1.391 GB | smallest, significant quality loss - not recommended for most purposes |
| Llama-3.2-3B-Instruct-uncensored-Q3_K_S.gguf | Q3_K_S | 1.595 GB | very small, high quality loss |
| Llama-3.2-3B-Instruct-uncensored-Q3_K_M.gguf | Q3_K_M | 1.729 GB | very small, high quality loss |
| Llama-3.2-3B-Instruct-uncensored-Q3_K_L.gguf | Q3_K_L | 1.848 GB | small, substantial quality loss |
| Llama-3.2-3B-Instruct-uncensored-Q4_0.gguf | Q4_0 | 1.992 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| Llama-3.2-3B-Instruct-uncensored-Q4_K_S.gguf | Q4_K_S | 2.002 GB | small, greater quality loss |
| Llama-3.2-3B-Instruct-uncensored-Q4_K_M.gguf | Q4_K_M | 2.087 GB | medium, balanced quality - recommended |
| Llama-3.2-3B-Instruct-uncensored-Q5_0.gguf | Q5_0 | 2.366 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| Llama-3.2-3B-Instruct-uncensored-Q5_K_S.gguf | Q5_K_S | 2.366 GB | large, low quality loss - recommended |
| Llama-3.2-3B-Instruct-uncensored-Q5_K_M.gguf | Q5_K_M | 2.415 GB | large, very low quality loss - recommended |
| Llama-3.2-3B-Instruct-uncensored-Q6_K.gguf | Q6_K | 2.763 GB | very large, extremely low quality loss |
| Llama-3.2-3B-Instruct-uncensored-Q8_0.gguf | Q8_0 | 3.577 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/Llama-3.2-3B-Instruct-uncensored-GGUF --include "Llama-3.2-3B-Instruct-uncensored-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/Llama-3.2-3B-Instruct-uncensored-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'