Instructions to use Ashwin3919/OpenSLM_Rwkv_30M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- RWKV
How to use Ashwin3919/OpenSLM_Rwkv_30M with RWKV:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
OpenSLM Rwkv 30M
This is the Rwkv model trained with approximately 30M parameters, as part of the OpenSLM project.
Model Details
- Architecture: Rwkv
- Parameters: ~30M
- License: Apache 2.0
- Language: English
Performance
Based on the evaluation metrics, the model achieved the following performance:
- Best Validation Loss:
2.4994
Usage
For detailed usage instructions, please refer to the OpenSLM repository.
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