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Remember the recently released GLM-4 from Tsinghua University 🎉
Remember the recently released GLM-4 from Tsinghua University 🎉
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Now we have an open-source version of it continuously trained for multilingual code generation! 🌍
Now we have an open-source version of it continuously trained for multilingual code generation! 🌍
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It beats CodeLlama 70B (almost 7x size) and is competitive with DeepSeek Coder 33B and Qwen 2 💪
It beats CodeLlama 70B (almost 7x size) and is competitive with DeepSeek Coder 33B and Qwen 2 💪
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Just like almost every other coding model, it has a 128K context 📜
Just like almost every other coding model, it has a 128K context 📜
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Supports:
Supports:
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- Code completion 🖋️
- Code completion 🖋️
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- Code generation 🛠️
- Code generation 🛠️
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- Code interpreter 💡
- Code interpreter 💡
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- Web search 🔍
- Web search 🔍
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- Function call 📞
- Function call 📞
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- Repository-level code Q&A 🗂️
- Repository-level code Q&A 🗂️
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Benchmarks 48.9 and 40.4 for the complete and instruct tasks of BigCodeBench 📊
Benchmarks 48.9 and 40.4 for the complete and instruct tasks of BigCodeBench 📊
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It still falls behind DeepSeek-Coder-V2. While this might have fewer parameters, DSC V2 is a MoE model with only ~2B active parameters 🤔
It still falls behind DeepSeek-Coder-V2. While this might have fewer parameters, DSC V2 is a MoE model with only ~2B active parameters 🤔
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Good to see more efficient coding LLMs, but DeepSeek-Coder-V2 is just too good 🏆
Good to see more efficient coding LLMs, but DeepSeek-Coder-V2 is just too good 🏆
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Codel: 
Codel: 
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https://github.com/THUDM/CodeGeeX4
https://github.com/THUDM/CodeGeeX4
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Model weights: 
Model weights: 
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https://huggingface.co/THUDM/codegeex4-all-9b
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THUDM/codegeex4-all-9b
https://huggingface.co/THUDM/codegeex4-all-9b
Remember the recently released GLM-4 from Tsinghua University 🎉

Now we have an open-source version of it continuously trained for multilingual code generation! 🌍

It beats CodeLlama 70B (almost 7x size) and is competitive with DeepSeek Coder 33B and Qwen 2 💪

Just like almost every other coding model, it has a 128K context 📜

Supports:
- Code completion 🖋️
- Code generation 🛠️
- Code interpreter 💡
- Web search 🔍
- Function call 📞
- Repository-level code Q&A 🗂️

Benchmarks 48.9 and 40.4 for the complete and instruct tasks of BigCodeBench 📊

It still falls behind DeepSeek-Coder-V2. While this might have fewer parameters, DSC V2 is a MoE model with only ~2B active parameters 🤔

Good to see more efficient coding LLMs, but DeepSeek-Coder-V2 is just too good 🏆

Codel: https://github.com/THUDM/CodeGeeX4
Model weights: https://huggingface.co/THUDM/codegeex4-all-9b
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ZeroWw
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ZeroWw
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Robert Sinclair
ZeroWw
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