Instructions to use scrappylabsai/warble with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use scrappylabsai/warble with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download scrappylabsai/warble --local-dir warble
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Link the systems write-up
Browse files
README.md
CHANGED
|
@@ -74,6 +74,9 @@ including phone-class chips, in about the memory a couple of browser tabs use.
|
|
| 74 |
most there. Use the full-precision model if you want them exactly right.
|
| 75 |
- It's a preview-generation base model, so expect the occasional rough edge.
|
| 76 |
|
|
|
|
|
|
|
|
|
|
| 77 |
## License
|
| 78 |
|
| 79 |
**Apache-2.0**, matching the base. Use it for anything, including commercial work. No strings.
|
|
|
|
| 74 |
most there. Use the full-precision model if you want them exactly right.
|
| 75 |
- It's a preview-generation base model, so expect the occasional rough edge.
|
| 76 |
|
| 77 |
+
|
| 78 |
+
> 🔧 How we made it fast (and put it on a phone): [a short systems write-up](https://stuff.scrappylabs.ai/public/moya/warble-writeup.html).
|
| 79 |
+
|
| 80 |
## License
|
| 81 |
|
| 82 |
**Apache-2.0**, matching the base. Use it for anything, including commercial work. No strings.
|