mrupatel/reva-mistral-7b
The mrupatel/reva-mistral-7b is a 7 billion parameter Mistral-based causal language model developed by mrupatel. This model was finetuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general instruction-following tasks, leveraging the Mistral architecture's efficiency. Its primary differentiator is its optimized training process, making it a performant option for applications requiring a 7B parameter model.
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Overview
mrupatel/reva-mistral-7b is a 7 billion parameter instruction-tuned model based on the Mistral architecture, developed by mrupatel. It was finetuned from unsloth/mistral-7b-instruct-v0.2-bnb-4bit using the Unsloth library in conjunction with Huggingface's TRL library. This specific training methodology allowed for a 2x faster finetuning process.
Key Characteristics
- Base Model: Mistral-7B-Instruct-v0.2
- Parameter Count: 7 billion
- Training Optimization: Utilizes Unsloth for accelerated finetuning.
- License: Apache-2.0
Use Cases
This model is suitable for a variety of general-purpose instruction-following tasks where a 7B parameter model is appropriate. Its optimized training process suggests it could be a good choice for developers looking for efficient deployment of Mistral-based models.