đ JungZoona/T3Q-qwen2.5-14b-v1.0-e3 - GGUF
This repository offers GGUF format model files for JungZoona/T3Q-qwen2.5-14b-v1.0-e3. The quantization of these files was carried out using machines provided by TensorBlock. They are compatible with llama.cpp as of commit b5165.
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Prompt template
<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
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<|im_start|>assistant
Model file specification
Filename |
Quant type |
File Size |
Description |
T3Q-qwen2.5-14b-v1.0-e3-Q2_K.gguf |
Q2_K |
5.770 GB |
smallest, significant quality loss - not recommended for most purposes |
T3Q-qwen2.5-14b-v1.0-e3-Q3_K_S.gguf |
Q3_K_S |
6.660 GB |
very small, high quality loss |
T3Q-qwen2.5-14b-v1.0-e3-Q3_K_M.gguf |
Q3_K_M |
7.339 GB |
very small, high quality loss |
T3Q-qwen2.5-14b-v1.0-e3-Q3_K_L.gguf |
Q3_K_L |
7.925 GB |
small, substantial quality loss |
T3Q-qwen2.5-14b-v1.0-e3-Q4_0.gguf |
Q4_0 |
8.518 GB |
legacy; small, very high quality loss - prefer using Q3_K_M |
T3Q-qwen2.5-14b-v1.0-e3-Q4_K_S.gguf |
Q4_K_S |
8.573 GB |
small, greater quality loss |
T3Q-qwen2.5-14b-v1.0-e3-Q4_K_M.gguf |
Q4_K_M |
8.988 GB |
medium, balanced quality - recommended |
T3Q-qwen2.5-14b-v1.0-e3-Q5_0.gguf |
Q5_0 |
10.267 GB |
legacy; medium, balanced quality - prefer using Q4_K_M |
T3Q-qwen2.5-14b-v1.0-e3-Q5_K_S.gguf |
Q5_K_S |
10.267 GB |
large, low quality loss - recommended |
T3Q-qwen2.5-14b-v1.0-e3-Q5_K_M.gguf |
Q5_K_M |
10.509 GB |
large, very low quality loss - recommended |
T3Q-qwen2.5-14b-v1.0-e3-Q6_K.gguf |
Q6_K |
12.125 GB |
very large, extremely low quality loss |
T3Q-qwen2.5-14b-v1.0-e3-Q8_0.gguf |
Q8_0 |
15.702 GB |
very large, extremely low quality loss - not recommended |
đĻ Installation
Downloading instruction
Command line
Firstly, install Huggingface Client
pip install -U "huggingface_hub[cli]"
Then, download the individual model file to a local directory
huggingface-cli download tensorblock/JungZoona_T3Q-qwen2.5-14b-v1.0-e3-GGUF --include "T3Q-qwen2.5-14b-v1.0-e3-Q2_K.gguf" --local-dir MY_LOCAL_DIR
If you want to download multiple model files with a pattern (e.g., *Q4_K*gguf
), you can try:
huggingface-cli download tensorblock/JungZoona_T3Q-qwen2.5-14b-v1.0-e3-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
đ License
This project is licensed under the Apache-2.0 License.