Mistral-Small-3.1-24B-Instruct-2503-HF
| Property | Value |
|---|---|
| Model Size | 24B parameters |
| Author | anthracite-core |
| Hosting Platform | Hugging Face |
| Model URL | View on Hugging Face |
What is Mistral-Small-3.1-24B-Instruct-2503-HF?
Mistral-Small-3.1-24B-Instruct-2503-HF is an instruction-tuned language model based on the Mistral architecture, featuring 24 billion parameters. It represents a significant implementation of the Mistral foundation model series, specifically optimized for instruction-following tasks and general language understanding.
Implementation Details
This model is deployed on the Hugging Face platform and utilizes the Mistral architecture, which is known for its efficient scaling and strong performance on language tasks. The model version number (2503) suggests ongoing development and refinement of the base architecture.
- 24B parameter architecture based on Mistral
- Instruction-tuned for better task completion
- Optimized for deployment on Hugging Face infrastructure
- Version 3.1 indicates mature development stage
Core Capabilities
- Advanced language understanding and generation
- Instruction following and task completion
- Text generation and completion
- Natural language processing tasks
Frequently Asked Questions
Q: What makes this model unique?
This model combines the powerful Mistral architecture with instruction tuning at a significant 24B parameter scale, making it particularly suited for complex language tasks while maintaining usability through the Hugging Face platform.
Q: What are the recommended use cases?
The model is well-suited for tasks requiring advanced language understanding, including text generation, completion, and instruction following. It's particularly valuable for applications needing robust language processing capabilities with instruction-following abilities.
