|
--- |
|
language: |
|
- en |
|
--- |
|
## Information |
|
|
|
This is a Exl2 quantized version of [Kimiko-10.7B-v3](https://huggingface.co/nRuaif/Kimiko-10.7B-v3) |
|
|
|
Please refer to the original creator for more information. |
|
|
|
Calibration dataset: Exllamav2 default |
|
|
|
## Branches: |
|
|
|
- main: Measurement files |
|
- 4bpw: 4 bits per weight |
|
- 5bpw: 5 bits per weight |
|
- 6bpw: 6 bits per weight |
|
|
|
## Notes |
|
|
|
- 6bpw is recommended for the best quality to vram usage ratio (assuming you have enough vram). |
|
- Please ask for more bpws in the community tab if necessary. |
|
|
|
## Run in TabbyAPI |
|
|
|
TabbyAPI is a pure exllamav2 FastAPI server developed by us. You can find TabbyAPI's source code here: [https://github.com/theroyallab/TabbyAPI](https://github.com/theroyallab/TabbyAPI) |
|
|
|
If you don't have huggingface-cli, please run `pip install huggingface_hub`. |
|
|
|
To run this model, follow these steps: |
|
|
|
1. Make a directory inside your models folder called `Kimiko-10.7B-v3-exl2` |
|
|
|
2. Open a terminal inside your models folder |
|
|
|
3. Run `huggingface-cli download royallab/Kimiko-10.7B-v3-exl2 --revision 4bpw --local-dir Kimiko-10.7B-v3-exl2 --local-dir-use-symlinks False` |
|
|
|
1. The `--revision` flag corresponds to the branch name on the model repo. Please select the appropriate bpw branch for your system. |
|
|
|
4. Inside TabbyAPI's config.yml, set `model_name` to `Kimiko-10.7B-v3-exl2` or you can use the `/model/load` endpoint after launching. |
|
|
|
5. Launch TabbyAPI inside your python env by running `python main.py` |
|
|
|
## Donate? |
|
|
|
All my infrastructure and cloud expenses are paid out of pocket. If you'd like to donate, you can do so here: https://ko-fi.com/kingbri |
|
|
|
You should not feel obligated to donate, but if you do, I'd appreciate it. |
|
--- |
