alphahg/CodeLlama-13b-hf-rust-finetune-full
alphahg/CodeLlama-13b-hf-rust-finetune-full is a 13 billion parameter causal language model, fine-tuned by alphahg from CodeLlama-13b-hf. This model specializes in Rust code generation and understanding, having been trained on the ammarnasr/the-stack-rust-clean dataset. Its primary use case is enhancing developer productivity for Rust-specific programming tasks.
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CodeLlama-13b-hf-rust-finetune-full Overview
This model is a specialized version of the CodeLlama-13b-hf base model, fine-tuned by alphahg to excel in Rust programming contexts. It leverages the robust architecture of CodeLlama and has been specifically adapted using the ammarnasr/the-stack-rust-clean dataset, focusing on Rust code generation and comprehension.
Key Capabilities
- Rust Code Generation: Optimized for generating accurate and idiomatic Rust code.
- Rust Code Understanding: Improved ability to parse, analyze, and assist with existing Rust codebases.
- Fine-tuned Performance: Achieved a validation loss of 0.4809 during training, indicating strong performance on its specialized task.
Good for
- Developers working extensively with the Rust programming language.
- Applications requiring intelligent code completion or generation in Rust.
- Tools for code review, refactoring, or debugging Rust projects.
Training Details
The model was trained with a learning rate of 2.5e-05, a batch size of 32, and an Adam optimizer. The training consisted of 500 steps, resulting in a final validation loss of 0.4809.