TensorBlock

Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server

vilm/Quyen-Pro-v0.1 - GGUF

This repo contains GGUF format model files for vilm/Quyen-Pro-v0.1.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.

Prompt template

<|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
Quyen-Pro-v0.1-Q2_K.gguf Q2_K 5.506 GB smallest, significant quality loss - not recommended for most purposes
Quyen-Pro-v0.1-Q3_K_S.gguf Q3_K_S 6.309 GB very small, high quality loss
Quyen-Pro-v0.1-Q3_K_M.gguf Q3_K_M 6.909 GB very small, high quality loss
Quyen-Pro-v0.1-Q3_K_L.gguf Q3_K_L 7.302 GB small, substantial quality loss
Quyen-Pro-v0.1-Q4_0.gguf Q4_0 7.618 GB legacy; small, very high quality loss - prefer using Q3_K_M
Quyen-Pro-v0.1-Q4_K_S.gguf Q4_K_S 7.977 GB small, greater quality loss
Quyen-Pro-v0.1-Q4_K_M.gguf Q4_K_M 8.560 GB medium, balanced quality - recommended
Quyen-Pro-v0.1-Q5_0.gguf Q5_0 9.176 GB legacy; medium, balanced quality - prefer using Q4_K_M
Quyen-Pro-v0.1-Q5_K_S.gguf Q5_K_S 9.339 GB large, low quality loss - recommended
Quyen-Pro-v0.1-Q5_K_M.gguf Q5_K_M 9.812 GB large, very low quality loss - recommended
Quyen-Pro-v0.1-Q6_K.gguf Q6_K 11.465 GB very large, extremely low quality loss
Quyen-Pro-v0.1-Q8_0.gguf Q8_0 14.027 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/Quyen-Pro-v0.1-GGUF --include "Quyen-Pro-v0.1-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/Quyen-Pro-v0.1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
34
GGUF
Model size
14.2B params
Architecture
qwen2

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for tensorblock/Quyen-Pro-v0.1-GGUF

Quantized
(3)
this model

Datasets used to train tensorblock/Quyen-Pro-v0.1-GGUF