Refact Code LLM: 1.6B LLM for code that reaches 32% HumanEval

This article highlights a 1.6 billion parameter language model (LLM) specifically designed for code generation, achieving a 32% score on the HumanEval benchmark. This suggests progress in smaller-scale, specialized LLMs for coding tasks. The focus on HumanEval indicates an attempt to quantify performance against human-level coding ability.