Immediately following Meta's release of Meta Llama 3.1, Mistral is out with Mistral Large 2, with "a 128k context window [that] supports dozens of languages including French, German, Spanish, Italian, Portuguese, Arabic, Hindi, Russian, Chinese, Japanese, and Korean, along with 80+ coding languages including Python, Java, C, C++, JavaScript, and Bash."

Wow, Mistral Large 2 sounds like a game changer! The improved code generation and reasoning are seriously impressive. Plus, that multilingual support is such a win for global users. I can't wait to see how this advances coding efficiency with those 80+ languages! Keep up the awesome work!

How does it improve upon its predecessor in terms of multilingual support and function calling?

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Congrats on the launch, the Mistra team must have put in a tremendous amount of effort into this. No offense intended, but I've always wondered why smaller teams continue to work on similar projects when giants like OpenAI and Facebook already have such powerful offerings.

Okay,really hyped up for this😬

I've been waiting for this for so long, I can't wait to use it.

Congrats on launch of Mistral Large 2.....

cool llm model..provides a game-changer in the industry

I Love this product, Mistral stands out as a top-tier AI product

once agin with killer launch

Congrats on this excellent release! It’s really made a difference for me, @arthurmensch

AI summer is going strong. Congratulations.

Congrats on the launch! Your hard work is evident, and this tool will be a great asset

I just want to say “Sorry for my late vote”

Another gold 🥇 for France 🇫🇷 Coding with Mistral is a real pleasure... Would had been even better if open-sourced thought 🤔

When trying out the snippet shown in the hugging face page it returns an error: from huggingface_hub import InferenceClient import os client = InferenceClient( "mistralai/Mistral-Large-Instruct-2407", token=os.getenv("hf_token"), ) for message in client.chat_completion( messages=[{"role": "user", "content": "What is the capital of France?"}], max_tokens=500, stream=True, ): print(message.choices[0].delta.content, end="") 403 Forbidden: None. Cannot access content at: https://api-inference.huggingfac.... If you are trying to create or update content, make sure you have a token with the `write` role. The model mistralai/Mistral-Large-Instruct-2407 is too large to be loaded automatically (245GB > 10GB). Please use Spaces (https://huggingface.co/spaces) or Inference Endpoints (https://huggingface.co/inference...).

Congrats Mistral team! And Arthur Mensch