Mistral-Nemo-12b-Unsloth-2x-Faster-Finetuning
Model Overview:
- Developed by: skkjodhpur
- License: Apache-2.0
- Base Model: unsloth/mistral-nemo-base-2407-bnb-4bit
- Libraries Used: Unsloth, Huggingface's TRL (Transformers Reinforcement Learning) library
- Finetuned from model : unsloth/mistral-nemo-base-2407-bnb-4bit
Model Description The Mistral-Nemo-12b model has been fine-tuned for text generation tasks. This fine-tuning was performed using the Unsloth optimization framework, which significantly accelerates the training process, achieving a 2x faster fine-tuning time compared to conventional methods. The model leverages the robust capabilities of Huggingface's TRL library, enhancing its performance in generating high-quality text.
Features Language: English Capabilities: Text generation, transformers-based inference Fine-tuning Details: The fine-tuning process was focused on improving inference speed and maintaining or enhancing the quality of the generated text.
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.