prince-canuma/Damysus-Coder-v0.1
Damysus-Coder-v0.1 is a 7 billion parameter instruction-tuned causal language model developed by prince-canuma, fine-tuned from unsloth/mistral-7b-instruct-v0.2-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, emphasizing efficient training. It is designed for general instruction-following tasks, leveraging its Mistral base for robust performance.
Loading preview...
Model Overview
Damysus-Coder-v0.1 is a 7 billion parameter instruction-tuned language model developed by prince-canuma. It is built upon the unsloth/mistral-7b-instruct-v0.2-bnb-4bit base model, indicating its foundation in the Mistral architecture. A key characteristic of this model's development is its efficient training process, which was achieved using the Unsloth library in conjunction with Huggingface's TRL library, reportedly resulting in a 2x faster training time.
Key Capabilities
- Instruction Following: As an instruction-tuned model, Damysus-Coder-v0.1 is designed to understand and execute a wide range of natural language instructions.
- Efficient Training: Leverages Unsloth for optimized and accelerated fine-tuning.
- Mistral Base: Benefits from the strong performance and capabilities inherent in the Mistral 7B Instruct v0.2 architecture.
Good For
- General-purpose instruction-following tasks where a 7B parameter model is suitable.
- Applications requiring a Mistral-based model with efficient fine-tuning origins.
- Developers interested in models trained with Unsloth for performance and speed benefits.