Qwen2.5-Coder-3B-Instruct

Analysis of Qwen2.5 Coder Training Process and Data Distribution

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Analysis of Qwen2.5 Coder Training Process and Data Distribution

I have read some papers and training data on Qwen2.5 Coder and summarized them. Paper link: https://arxiv.org/pdf/2409.12186 1. Introduction The Qwen2.5-Coder series is a major upgrade from its predecessor CodeQwen1.5, aimed at achieving top-notch code task performance across various model sizes. This series includes six models: Qwen2.5-Coder-0.5B Qwen2.5-Coder-1.5B Qwen2.5-Coder-3B Qwen2.5-Coder-7B Qwen2.5-Coder-14B Qwen2.5-Coder-32B The architecture of … Read more

Experience the Cloud Deployment of Qwen2.5 in 5 Minutes

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Experience the Cloud Deployment of Qwen2.5 in 5 Minutes

Qwen2.5 is a large-scale language and multimodal model developed by the Tongyi Qianwen team. With its advantages in long text processing, knowledge integration, large-scale dataset pre-training, and multilingual processing, it provides users with quick and accurate responses, becoming an effective tool for enterprise intelligence transformation. Deploying the Qwen2.5 model on Function Compute FC allows users … Read more

Qwen2.5 Technical Report Analysis: 18 Trillion Token Training

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Qwen2.5 Technical Report Analysis: 18 Trillion Token Training

Introduction The development of large language models (LLMs) is advancing rapidly, with each significant update potentially bringing substantial performance improvements and expanding application scenarios. Against this backdrop, Alibaba’s latest release of the Qwen2.5 series models has garnered widespread attention. This technical report provides a detailed overview of the development process, innovations, and performance of Qwen2.5, … Read more

Qwen2.5 Technical Report

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Qwen2.5 Technical Report

In December 2024, the paper “Qwen2.5 Technical Report” from Tongyi Qianwen was released. This report introduces Qwen2.5, a series of comprehensive large language models (LLMs) designed to meet diverse needs. Compared to previous iterations, Qwen 2.5 has made significant improvements in both pre-training and post-training phases. In terms of pre-training, the high-quality pre-training dataset has … Read more

Developing a WeChat Mini Program Using Cline Plugin and Qwen 2.5 Model

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Developing a WeChat Mini Program Using Cline Plugin and Qwen 2.5 Model

Children are about to have their winter break, which means the Spring Festival is not far away. In my hometown in Hubei, when I was a student, writing, pasting, and responding to Spring Festival couplets was a joyful activity for scholars every year as the festival approached. Now, although I am no longer a scholar, … Read more

Deploy Personal Code Assistant Using LLama.cpp in 3 Minutes

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Deploy Personal Code Assistant Using LLama.cpp in 3 Minutes

Deploy Personal Code Assistant Using LLama.cpp in 3 Minutes Today, I will demonstrate the use of the most popular on-device LLM deployment engine, llama.cpp. The demonstration will be conducted on a MacBook Pro (M3 Pro). Project address: https://github.com/ggerganov/llama.cpp. Compilation method: https://github.com/ggerganov/llama.cpp/blob/master/docs/build.md. The model used for testing is the Qwen2.5-Coder-3B-Instruct. Model download address: https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct. This model … Read more