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Quyen-SE-v0.1-GGUF

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metadata
language:
  - en
license: other
library_name: transformers
datasets:
  - teknium/OpenHermes-2.5
  - LDJnr/Capybara
  - Intel/orca_dpo_pairs
  - argilla/distilabel-capybara-dpo-7k-binarized
pipeline_tag: text-generation
tags:
  - TensorBlock
  - GGUF
base_model: vilm/Quyen-SE-v0.1
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vilm/Quyen-SE-v0.1 - GGUF

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

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.

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-SE-v0.1-Q2_K.gguf Q2_K 0.298 GB smallest, significant quality loss - not recommended for most purposes
Quyen-SE-v0.1-Q3_K_S.gguf Q3_K_S 0.333 GB very small, high quality loss
Quyen-SE-v0.1-Q3_K_M.gguf Q3_K_M 0.350 GB very small, high quality loss
Quyen-SE-v0.1-Q3_K_L.gguf Q3_K_L 0.364 GB small, substantial quality loss
Quyen-SE-v0.1-Q4_0.gguf Q4_0 0.395 GB legacy; small, very high quality loss - prefer using Q3_K_M
Quyen-SE-v0.1-Q4_K_S.gguf Q4_K_S 0.397 GB small, greater quality loss
Quyen-SE-v0.1-Q4_K_M.gguf Q4_K_M 0.407 GB medium, balanced quality - recommended
Quyen-SE-v0.1-Q5_0.gguf Q5_0 0.453 GB legacy; medium, balanced quality - prefer using Q4_K_M
Quyen-SE-v0.1-Q5_K_S.gguf Q5_K_S 0.453 GB large, low quality loss - recommended
Quyen-SE-v0.1-Q5_K_M.gguf Q5_K_M 0.459 GB large, very low quality loss - recommended
Quyen-SE-v0.1-Q6_K.gguf Q6_K 0.515 GB very large, extremely low quality loss
Quyen-SE-v0.1-Q8_0.gguf Q8_0 0.665 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-SE-v0.1-GGUF --include "Quyen-SE-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-SE-v0.1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'