Mistral-Large-Instruct-2411

Description

Mistral-Large-Instruct-2411 is an advanced dense Large Language Model (LLM) developed to enhance reasoning, knowledge, and coding capabilities. With 123 billion parameters, it extends the features of its predecessor, Mistral-Large-Instruct-2407, by offering improved long context handling, function calling, and system prompt support. This model is multilingual by design, supporting dozens of languages including English, French, German, Spanish, Italian, Chinese, Japanese, Korean, Portuguese, Dutch, and Polish. It is also proficient in coding, having been trained on over 80 programming languages such as Python, Java, C, C++, JavaScript, Bash, Swift, and Fortran.

Mistral-Large-Instruct-2411 is agent-centric, providing best-in-class agentic capabilities with native function calling and JSON outputting. It boasts state-of-the-art mathematical and reasoning capabilities, making it suitable for complex problem-solving tasks. The model is available under the Mistral Research License, allowing usage and modification for non-commercial purposes.

One of the key features of this model is its large 128k context window, which ensures robust context adherence for retrieval-augmented generation (RAG) and large context applications. The system prompt feature has been enhanced to maintain strong adherence and support for more reliable system prompts, based on community feedback.

The model can be integrated with the vLLM library to implement production-ready inference pipelines. It requires vLLM version 0.6.4.post1 or higher and mistral_common version 1.5.0 or higher. Users can also utilize a ready-to-go Docker image available on Docker Hub. Running Mistral-Large-Instruct-2411 on a GPU requires over 300 GB of GPU RAM, making it suitable for high-performance computing environments.

Mistral-Large-Instruct-2411 Highlights

• 123B parameters

• Multilingual support

• Proficient in 80+ coding languages

• Agent-centric capabilities

• Advanced reasoning

• Mistral Research License

• 128k context window

• Improved system prompt support

Getting Started with Mistral-Large-Instruct-2411

1. 1

   Access page: Visit the Hugging Face model page

2. 2

   Load model: Download and configure the model

3. 3

   Configure environment: Install vLLM and mistral_common

4. 4

   Integrate: Use vLLM library for inference pipelines

5. 5

   Fine-tune: Adjust model parameters for specific tasks

Mistral-Large-Instruct-2411's Use Cases

• Multilingual applications
• Advanced coding tasks
• Complex reasoning
• Agent-centric applications
• Large context processing

FAQ from Mistral-Large-Instruct-2411

• What is Mistral-Large-Instruct-2411?

  Mistral-Large-Instruct-2411 is a dense Large Language Model with 123B parameters, offering advanced reasoning and coding capabilities.

• What languages does Mistral-Large-Instruct-2411 support?

  It supports dozens of languages including English, French, German, Spanish, Italian, Chinese, Japanese, Korean, Portuguese, Dutch, and Polish.

• What coding languages is the model proficient in?

  The model is trained on over 80 coding languages such as Python, Java, C, C++, JavaScript, Bash, Swift, and Fortran.

• What is the context window size of Mistral-Large-Instruct-2411?

  The model has a large 128k context window.

• What license is Mistral-Large-Instruct-2411 available under?

  It is available under the Mistral Research License for non-commercial usage and modification.

• What are the system requirements for running the model?

  Running the model on a GPU requires over 300 GB of GPU RAM.

• How can I integrate Mistral-Large-Instruct-2411 into my application?

  You can integrate it using the vLLM library for production-ready inference pipelines.

• What improvements does Mistral-Large-Instruct-2411 offer over its predecessor?

  It offers better long context handling, function calling, and system prompt support compared to Mistral-Large-Instruct-2407.