metadata
license: cc-by-nc-4.0
datasets:
- kyujinpy/KOR-OpenOrca-Platypus-v3
- beomi/KoAlpaca-v1.1a
- maywell/ko_wikidata_QA
language:
- ko
base_model: wkshin89/Yi-Ko-6B-Instruct-v1.1
tags:
- TensorBlock
- GGUF
Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server
wkshin89/Yi-Ko-6B-Instruct-v1.1 - GGUF
This repo contains GGUF format model files for wkshin89/Yi-Ko-6B-Instruct-v1.1.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.
Prompt template
Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| Yi-Ko-6B-Instruct-v1.1-Q2_K.gguf | Q2_K | 2.240 GB | smallest, significant quality loss - not recommended for most purposes |
| Yi-Ko-6B-Instruct-v1.1-Q3_K_S.gguf | Q3_K_S | 2.592 GB | very small, high quality loss |
| Yi-Ko-6B-Instruct-v1.1-Q3_K_M.gguf | Q3_K_M | 2.857 GB | very small, high quality loss |
| Yi-Ko-6B-Instruct-v1.1-Q3_K_L.gguf | Q3_K_L | 3.084 GB | small, substantial quality loss |
| Yi-Ko-6B-Instruct-v1.1-Q4_0.gguf | Q4_0 | 3.317 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| Yi-Ko-6B-Instruct-v1.1-Q4_K_S.gguf | Q4_K_S | 3.339 GB | small, greater quality loss |
| Yi-Ko-6B-Instruct-v1.1-Q4_K_M.gguf | Q4_K_M | 3.498 GB | medium, balanced quality - recommended |
| Yi-Ko-6B-Instruct-v1.1-Q5_0.gguf | Q5_0 | 3.999 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| Yi-Ko-6B-Instruct-v1.1-Q5_K_S.gguf | Q5_K_S | 3.999 GB | large, low quality loss - recommended |
| Yi-Ko-6B-Instruct-v1.1-Q5_K_M.gguf | Q5_K_M | 4.092 GB | large, very low quality loss - recommended |
| Yi-Ko-6B-Instruct-v1.1-Q6_K.gguf | Q6_K | 4.724 GB | very large, extremely low quality loss |
| Yi-Ko-6B-Instruct-v1.1-Q8_0.gguf | Q8_0 | 6.117 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/Yi-Ko-6B-Instruct-v1.1-GGUF --include "Yi-Ko-6B-Instruct-v1.1-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/Yi-Ko-6B-Instruct-v1.1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'