Mistral-Large-Instruct-2411-AWQ
| Property | Value |
|---|---|
| Parameter Count | 17.1B |
| Model Type | AWQ-Quantized Language Model |
| License | Mistral Research License (MRL) |
| Supported Languages | 10+ languages |
| Context Length | 128k tokens |
What is Mistral-Large-Instruct-2411-AWQ?
Mistral-Large-Instruct-2411-AWQ is a quantized version of Mistral's advanced dense Large Language Model, optimized using AWQ (Activation-aware Weight Quantization) technology. This model maintains the impressive capabilities of the original while reducing the computational requirements through precision optimization.
Implementation Details
The model utilizes 4-bit precision quantization while preserving the core 17.1B parameter architecture. It's designed to work with the vLLM framework and supports tensor parallelism for efficient deployment.
- Optimized for production deployment using vLLM
- Implements AWQ quantization for efficient inference
- Maintains full functionality of the original model
- Compatible with Mistral's chat template format
Core Capabilities
- Multilingual Support: Fluent in 10+ languages including English, French, German, Spanish, Chinese, and Japanese
- Advanced Coding: Proficient in 80+ programming languages
- Large Context Window: 128k token context for comprehensive analysis
- Function Calling: Enhanced agentic capabilities with native function calling
- System Prompt Support: Robust handling of system instructions
- Mathematical Reasoning: State-of-the-art analytical capabilities
Frequently Asked Questions
Q: What makes this model unique?
This AWQ-quantized version offers the full capabilities of Mistral-Large-Instruct-2411 while reducing the resource requirements through efficient 4-bit quantization, making it more practical for deployment while maintaining high performance.
Q: What are the recommended use cases?
The model excels in research applications requiring multilingual support, code generation, mathematical reasoning, and complex problem-solving. It's particularly suitable for scenarios where efficient resource utilization is crucial while maintaining high-quality outputs.
