suji-ai/rex-maritime-v3
The suji-ai/rex-maritime-v3 is a 7 billion parameter Mistral-based instruction-tuned language model developed by suji-ai. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general instruction-following tasks, leveraging the Mistral architecture's efficiency and performance.
Loading preview...
Model Overview
The suji-ai/rex-maritime-v3 is a 7 billion parameter instruction-tuned language model developed by suji-ai. It is based on the Mistral architecture, specifically fine-tuned from unsloth/mistral-7b-instruct-v0.3-bnb-4bit.
Key Characteristics
- Architecture: Mistral-7B base model.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Parameter Count: 7 billion parameters, offering a balance between performance and computational requirements.
- Context Length: Supports a context window of 4096 tokens.
- License: Released under the Apache-2.0 license, allowing for broad usage and modification.
Intended Use Cases
This model is suitable for a variety of general instruction-following tasks where a Mistral-based model with efficient fine-tuning is beneficial. Its optimized training process suggests it could be a good candidate for applications requiring a capable language model without extensive computational overhead for deployment.