FinaPolat/RAISED_Mistral-Nemo_GRPO
FinaPolat/RAISED_Mistral-Nemo_GRPO is a 12 billion parameter Mistral-based language model developed by FinaPolat, featuring a 32768 token context length. This model was fine-tuned using the Unsloth library and Huggingface's TRL, enabling a 2x faster training process. It is a fine-tuned iteration of FinaPolat/RAISED_Mistral-Nemo_SFT, optimized for efficient development workflows.
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Model Overview
FinaPolat/RAISED_Mistral-Nemo_GRPO is a 12 billion parameter language model built upon the Mistral architecture, developed by FinaPolat. It boasts a substantial context length of 32768 tokens, making it suitable for processing longer sequences of text.
Key Characteristics
- Architecture: Based on the Mistral model family.
- Parameter Count: 12 billion parameters.
- Context Length: Supports up to 32768 tokens.
- Training Efficiency: Fine-tuned using the Unsloth library and Huggingface's TRL, which facilitated a 2x faster training process compared to standard methods.
- Lineage: This model is a further fine-tuned version of
FinaPolat/RAISED_Mistral-Nemo_SFT.
Intended Use
This model is designed for developers seeking a Mistral-based LLM that benefits from accelerated fine-tuning techniques. Its efficient training methodology makes it a practical choice for projects requiring rapid iteration and deployment of custom models.