FinaPolat/RAISED_Mistral-Nemo_DPO_1Krandom
FinaPolat/RAISED_Mistral-Nemo_DPO_1Krandom is a 12 billion parameter Mistral-based language model developed by FinaPolat. This model was fine-tuned using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process. It is optimized for tasks benefiting from efficient fine-tuning and builds upon the FinaPolat/RAISED_Mistral-Nemo_SFT model.
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Overview
FinaPolat/RAISED_Mistral-Nemo_DPO_1Krandom is a 12 billion parameter language model developed by FinaPolat. It is based on the Mistral architecture and was fine-tuned from the FinaPolat/RAISED_Mistral-Nemo_SFT model. A key characteristic of this model's development is its training efficiency, having been fine-tuned 2x faster using the Unsloth library in conjunction with Huggingface's TRL library.
Key Capabilities
- Efficient Fine-tuning: Benefits from a training process that was twice as fast due to the use of Unsloth and Huggingface's TRL library.
- Mistral-based Architecture: Leverages the established capabilities of the Mistral model family.
- DPO Fine-tuning: Implies a focus on alignment and preference learning, building on its SFT predecessor.
Good For
- Developers seeking a Mistral-based model that has undergone an optimized and faster fine-tuning process.
- Applications where the base Mistral capabilities are desired, potentially with improved alignment from DPO.
- Experimentation with models fine-tuned using Unsloth for efficiency.