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license: apache-2.0 |
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language: |
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- en |
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# Model Card for TurboSparse-Mixtral |
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The TurboSparse-Mixtral Large Language Model (LLM) is an sparsified version of the Mixtral. |
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<img src="takeaway.png" alt="avatar" width="300" height="200"/> |
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The average performance is evaluated using benchmarks from the OpenLLM Leaderboard. |
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## Inference |
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Our code for accelerating TurboSparse-Mixtral is currently being refined. Stay tuned! Now you can run this model like dense model. |
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## Chat-Template |
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During sparsification, we also utilize some SFT datasets. |
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We take ChatML as our chat template: |
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``` |
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<|im_start|>user\n{{content}}<|im_end|>\n<|im_start|>assistant\n |
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``` |
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## Allow Finetuning |
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As we merged the predictors for FFN neurons in models, you can finetune TurboSparse-Mixtral with any framework and algorithm. |
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## Limitations |
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* TurboSparse, having just undergone training with 150B tokens, may still exhibit performance gaps in certain tasks. |
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* The TurboSparse model has only been trained on English-language datasets, hence its capabilities in other languages are still lacking. |
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* The model may produce unexpected outputs due to its small size and probabilistic generation paradigm. |
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## License |
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The model is licensed under Apache-2.0, while model weights are fully open for academic research and also allow **free** commercial usage. |
