metadata
license: apache-2.0
language:
- en
datasets:
- Intel/orca_dpo_pairs
tags:
- TensorBlock
- GGUF
base_model: mncai/agiin-13.6B-v0.1
Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server
mncai/agiin-13.6B-v0.1 - GGUF
This repo contains GGUF format model files for mncai/agiin-13.6B-v0.1.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.
Prompt template
### System:
{system_prompt}
### User:
{prompt}
### Assistant:
Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| agiin-13.6B-v0.1-Q2_K.gguf | Q2_K | 4.775 GB | smallest, significant quality loss - not recommended for most purposes |
| agiin-13.6B-v0.1-Q3_K_S.gguf | Q3_K_S | 5.567 GB | very small, high quality loss |
| agiin-13.6B-v0.1-Q3_K_M.gguf | Q3_K_M | 6.199 GB | very small, high quality loss |
| agiin-13.6B-v0.1-Q3_K_L.gguf | Q3_K_L | 6.753 GB | small, substantial quality loss |
| agiin-13.6B-v0.1-Q4_0.gguf | Q4_0 | 7.255 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| agiin-13.6B-v0.1-Q4_K_S.gguf | Q4_K_S | 7.305 GB | small, greater quality loss |
| agiin-13.6B-v0.1-Q4_K_M.gguf | Q4_K_M | 7.709 GB | medium, balanced quality - recommended |
| agiin-13.6B-v0.1-Q5_0.gguf | Q5_0 | 8.845 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| agiin-13.6B-v0.1-Q5_K_S.gguf | Q5_K_S | 8.845 GB | large, low quality loss - recommended |
| agiin-13.6B-v0.1-Q5_K_M.gguf | Q5_K_M | 9.078 GB | large, very low quality loss - recommended |
| agiin-13.6B-v0.1-Q6_K.gguf | Q6_K | 10.534 GB | very large, extremely low quality loss |
| agiin-13.6B-v0.1-Q8_0.gguf | Q8_0 | 13.643 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/agiin-13.6B-v0.1-GGUF --include "agiin-13.6B-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/agiin-13.6B-v0.1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'