Research team Qwen by Alibaba has introduced the Qwen2.5-Coder model, with the LLM model aiding in code writing to enhance training processes to achieve maximum efficiency within the realm of open-source models. Its overall testing score is on par with GPT-4o in various tests.
The training process of Qwen2.5-Coder involves a step-by-step approach, starting from single-file pretraining, moving on to repository-level pretraining, and ultimately training code writing based on commands utilizing internet code datasets to generate commands for the desired code, followed by dataset training.
An outstanding feature of Qwen2.5-Coder is its ability to generate high-quality code in multiple languages, owing to the team’s incorporation of datasets from other programming languages with limited data.
Qwen2.5-Coder offers 6 models ranging from 0.5B to 32B in size, each utilizing Apache 2.0 licensing except for the 3B model, which employs Qwen research licensing.
Source: QwenLM
TLDR: Alibaba’s Qwen research team introduces Qwen2.5-Coder and LLM model for efficient code writing and training processes, offering models in various sizes with multi-language code generation capabilities.
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