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JungZoona_T3Q-qwen2.5-14b-v1.0-e3-GGUF
tensorblock/JungZoona_T3Q-qwen2.5-14b-v1.0-e3-GGUF
JungZoona_T3Q-qwen2.5-14b-v1.0-e3-GGUF is a text generation model from tensorblock. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
<div style="width: auto; margin-left: auto; margin-right: auto" <img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;" </div
All-time downloads
4.7K
Public
Repo size
113 GB
Likes
3
Public
Repo makeup
Click a slice to open those files.
.gguf13.1 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- Apr 26, 2025
- Updated
- Jan 27, 2026
- SHA
- 49a5180d
Try a prompt
Base models
Model card
From the Hugging Face model README
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
JungZoona/T3Q-qwen2.5-14b-v1.0-e3 - GGUF
This repo contains GGUF format model files for JungZoona/T3Q-qwen2.5-14b-v1.0-e3.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5165.
Our projects
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<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|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 |
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/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 wanna 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'
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Languages
- en, ko
- Created
- Apr 26, 2025
- Updated
- Jan 27, 2026