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library_name: transformers.js
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base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
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- **License:** apache-2.0
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) [<img src="https://camo.githubusercontent.com/9585eb3e70c8138cbc0f73de7e970be4c668e957e45d16fc3ee6687fcc1da905/68747470733a2f2f68756767696e67666163652e636f2f64617461736574732f74726c2d6c69622f646f63756d656e746174696f6e2d696d616765732f7265736f6c76652f6d61696e2f74726c5f62616e6e65725f6461726b2e706e67" width="200"/>](https://github.com/huggingface/trl?tab=readme-ov-file)
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Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using [🤗 Optimum](https://huggingface.co/docs/optimum/index) and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).
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---
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library_name: transformers.js
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base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
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license: apache-2.0
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datasets:
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- Kukedlc/dpo-orpo-spanish-15k
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- **License:** apache-2.0
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) [<img src="https://camo.githubusercontent.com/9585eb3e70c8138cbc0f73de7e970be4c668e957e45d16fc3ee6687fcc1da905/68747470733a2f2f68756767696e67666163652e636f2f64617461736574732f74726c2d6c69622f646f63756d656e746174696f6e2d696d616765732f7265736f6c76652f6d61696e2f74726c5f62616e6e65725f6461726b2e706e67" width="200"/>](https://github.com/huggingface/trl?tab=readme-ov-file)
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[<img src="https://github.com/microsoft/onnxruntime/blob/main/docs/images/ONNX_Runtime_logo_dark.png?raw=true" width="200"/>](https://github.com/microsoft/onnxruntime)
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Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using [🤗 Optimum](https://huggingface.co/docs/optimum/index) and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).
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