invalid-coder/Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp - GGUF
This repo contains GGUF format model files for invalid-coder/Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp.
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 |
| Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp-Q2_K.gguf |
Q2_K |
3.728 GB |
smallest, significant quality loss - not recommended for most purposes |
| Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp-Q3_K_S.gguf |
Q3_K_S |
4.344 GB |
very small, high quality loss |
| Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp-Q3_K_M.gguf |
Q3_K_M |
4.839 GB |
very small, high quality loss |
| Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp-Q3_K_L.gguf |
Q3_K_L |
5.263 GB |
small, substantial quality loss |
| Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp-Q4_0.gguf |
Q4_0 |
5.655 GB |
legacy; small, very high quality loss - prefer using Q3_K_M |
| Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp-Q4_K_S.gguf |
Q4_K_S |
5.698 GB |
small, greater quality loss |
| Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp-Q4_K_M.gguf |
Q4_K_M |
6.018 GB |
medium, balanced quality - recommended |
| Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp-Q5_0.gguf |
Q5_0 |
6.889 GB |
legacy; medium, balanced quality - prefer using Q4_K_M |
| Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp-Q5_K_S.gguf |
Q5_K_S |
6.889 GB |
large, low quality loss - recommended |
| Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp-Q5_K_M.gguf |
Q5_K_M |
7.076 GB |
large, very low quality loss - recommended |
| Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp-Q6_K.gguf |
Q6_K |
8.200 GB |
very large, extremely low quality loss |
| Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp-Q8_0.gguf |
Q8_0 |
10.621 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/Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp-GGUF --include "Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp-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/Sakura-SOLAR-Instruct-CarbonVillain-en-10.7B-v2-slerp-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
