Mistral-Small-3.1-DRAFT-0.5B
| Property | Value |
|---|---|
| Model Size | 0.5B parameters |
| Author | alamios |
| HuggingFace URL | Link |
| Training Data | 20k examples, 12M tokens/epoch |
What is Mistral-Small-3.1-DRAFT-0.5B?
Mistral-Small-3.1-DRAFT-0.5B is a specialized draft model designed for speculative decoding in conjunction with larger Mistral models, specifically mistralai/Mistral-Small-3.1-24B-Instruct-2503 and mistralai/Mistral-Small-24B-Instruct-2501. This lightweight model serves as an efficient preliminary text generator to enhance the performance of its larger counterparts.
Implementation Details
The model has been meticulously trained on Mistral's outputs across multiple languages including English, French, German, Spanish, Italian, and Portuguese. The training process involved 2 epochs on a diverse dataset of 20,000 unique examples, processing 12 million tokens per epoch for comprehensive language understanding.
- Multi-lingual training across 6 major languages
- Compact 0.5B parameter architecture
- Optimized for speculative decoding applications
- Trained on high-quality Mistral outputs
Core Capabilities
- Efficient draft generation for larger models
- Multi-lingual text processing
- Optimized for reduced computational overhead
- Seamless integration with Mistral ecosystem
Frequently Asked Questions
Q: What makes this model unique?
This model's primary distinction lies in its specialized role as a draft model for speculative decoding, designed specifically to work with larger Mistral models. Its compact size and multi-lingual capabilities make it an efficient preliminary text generator.
Q: What are the recommended use cases?
The model is best suited for scenarios where speculative decoding is needed with larger Mistral models, particularly in applications requiring efficient text generation across multiple languages. It's specifically optimized for use with Mistral-Small-3.1-24B-Instruct-2503 and Mistral-Small-24B-Instruct-2501.
