🐙 GitHub • 👾 Discord • 🐤 Twitter • 💬 WeChat 📝 Paper • 💪 Tech Blog • 🙌 FAQ • 📗 Learning Hub Intro Yi Coder is a series of open source code language models that delivers state of the art coding performance with fewer than 10 billion parameters. Key features: Excelling in long context understanding with a maximum context length of 128K tokens. Supporting 52 major programming languages: For model details and benchmarks, see Yi Coder blog and Yi Coder README. Models Name Type Length Download Yi Coder 9B Chat Chat 128K 🤗 Hugging Face • 🤖 ModelScope • 🟣 wisemodel Yi Coder 1.5B Chat Chat 128K 🤗 Hugging Face • 🤖 ModelScope • 🟣 wisemodel Yi Coder 9B Base 128K 🤗 Hugging Face • 🤖 ModelScope • 🟣 wisemodel Yi Coder 1.5B Base 128K 🤗 Hugging Face • 🤖 ModelScope • 🟣 wisemodel Benchmarks As illustrated in the figure below, Yi Coder 9B Chat achieved an impressive 23% pass rate in LiveCodeBench, making it the only model with under 10B parameters to surpass 20%. It also outperforms DeepSeekCoder 33B Ins at 22.3%, CodeGeex4 9B all at 17.8%, CodeLLama 34B Ins at 13.3%, and CodeQwen1.5 7B Chat at 12%. Quick Start You can use transformers to run inference with Yi Coder models (both chat…
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