Naman-ntc/FastCode
Utilities for efficient fine-tuning, inference and evaluation of code generation models
This helps AI engineers and researchers working with code generation models to train, test, and evaluate their models more efficiently. It takes in existing code generation models like Starcoder or Codegen2.5, along with code datasets, and outputs fine-tuned models and evaluation metrics. AI/ML engineers and researchers who develop or experiment with large language models for code generation would find this useful.
No commits in the last 6 months.
Use this if you are an AI/ML engineer or researcher looking to speed up the fine-tuning, inference, and evaluation of code generation LLMs on GPUs.
Not ideal if you are looking for a tool to generate code directly or are not working with code generation LLMs.
Stars
21
Forks
3
Language
Python
License
MIT
Category
Last pushed
Oct 03, 2023
Commits (30d)
0
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