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You are happy that 
You are happy that 
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@mistralai
mistralai
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 is releasing a new model 😊
 is releasing a new model 😊
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You become even more happy to see it's a completely new coding model 😄
You become even more happy to see it's a completely new coding model 😄
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Then you become sad because the model is licensed under MNLP 😔
Then you become sad because the model is licensed under MNLP 😔
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Before we talk about MNLP, here is the gist of the model:
Before we talk about MNLP, here is the gist of the model:
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🏷️Name: Codestral (Code + Mistral 😂)
🏷️Name: Codestral (Code + Mistral 😂)
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🚀 22B parameters
🚀 22B parameters
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🌐 Supports 80 programming languages (including Python, Java, C, C++, bash, swift, and more)
🌐 Supports 80 programming languages (including Python, Java, C, C++, bash, swift, and more)
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🏆 Outperforms Llama 3 70B and Code Llama 70B on HumanEval and MBPP
🏆 Outperforms Llama 3 70B and Code Llama 70B on HumanEval and MBPP
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🏆 Outperforms DeepSeek Coder 33B on HumanEval
🏆 Outperforms DeepSeek Coder 33B on HumanEval
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📜 32K context window (longer than Llama 3, DeepSeek, or Code Llama)
📜 32K context window (longer than Llama 3, DeepSeek, or Code Llama)
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🤖 Supports both code assistant and code completion use cases
🤖 Supports both code assistant and code completion use cases
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More details: 
More details: 
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https://mistral.ai/news/codestral/
https://mistral.ai/news/codestral/
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https://huggingface.co/mistralai/Codestral-22B-v0.1
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mistralai/Codestral-22B-v0.1
https://huggingface.co/mistralai/Codestral-22B-v0.1
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Now what's MNLP? It's a non-commercial license for Mistral models that Codestral is released under! More here: 
Now what's MNLP? It's a non-commercial license for Mistral models that Codestral is released under! More here: 
link
https://mistral.ai/news/mistral-ai-non-production-license-mnpl/
https://mistral.ai/news/mistral-ai-non-production-license-mnpl/
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Don't be sad... 😃 There is another model that's open source and actually gives better performance on HumanEval: 
Don't be sad... 😃 There is another model that's open source and actually gives better performance on HumanEval: 
resource
https://huggingface.co/Bin12345/AutoCoder
model
Bin12345/AutoCoder
https://huggingface.co/Bin12345/AutoCoder
You are happy that @mistralai is releasing a new model 😊

You become even more happy to see it's a completely new coding model 😄

Then you become sad because the model is licensed under MNLP 😔

Before we talk about MNLP, here is the gist of the model:

🏷️Name: Codestral (Code + Mistral 😂)

🚀 22B parameters

🌐 Supports 80 programming languages (including Python, Java, C, C++, bash, swift, and more)

🏆 Outperforms Llama 3 70B and Code Llama 70B on HumanEval and MBPP

🏆 Outperforms DeepSeek Coder 33B on HumanEval

📜 32K context window (longer than Llama 3, DeepSeek, or Code Llama)

🤖 Supports both code assistant and code completion use cases

More details: https://mistral.ai/news/codestral/

https://huggingface.co/mistralai/Codestral-22B-v0.1

Now what's MNLP? It's a non-commercial license for Mistral models that Codestral is released under! More here: https://mistral.ai/news/mistral-ai-non-production-license-mnpl/

Don't be sad... 😃 There is another model that's open source and actually gives better performance on HumanEval: https://huggingface.co/Bin12345/AutoCoder
👍
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