Instructions to use fulcrumresearch/echo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fulcrumresearch/echo with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
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Download README.md from fulcrumresearch/echo: direct link, hf CLI and curl.
- Browser
- Download file 834 Bytes
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https://huggingface.co/fulcrumresearch/echo/resolve/main/README.md
- Command line
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hf download hf://fulcrumresearch/echo/README.md
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curl -L -o README.md https://huggingface.co/fulcrumresearch/echo/resolve/main/README.md
834 Bytes
| license: mit | |
| base_model: moonshotai/Kimi-K3 | |
| base_model_relation: adapter | |
| library_name: peft | |
| tags: | |
| - lora | |
| - writing | |
| - style-imitation | |
| # Echo | |
| Echo is a post-trained open model that takes on the guise of a named author. It is state of the art at coherently writing in a given style. | |
| Read more in [Introducing Echo](https://echo.fulcrum.inc). | |
| ## Model | |
| Echo is a LoRA adapter (rank 32, alpha 32) for [moonshotai/Kimi-K3](https://huggingface.co/moonshotai/Kimi-K3), in Hugging Face PEFT format, in the `model/` folder. | |
| ## License | |
| The Echo adapter is released under the [MIT License](LICENSE). Echo is built on Kimi K3: the Kimi K3 base model and the Kimi K3 files in this repository are licensed under the [Kimi K3 License](LICENSE-KIMI-K3), and since Echo runs on the Kimi K3 base model, its terms apply to any use of Echo. | |