open sourcellm

Mistral Small 3

Compact yet powerful for diverse NLP tasks.

Developed by Mistral AI

Official Site
3BParams
YesAPI Available
stableStability
1.0Version
Open SourceLicense
PyTorchFramework
NoRuns Locally
Real-World Applications
  • ChatbotsOptimized Capability
  • Text summarizationOptimized Capability
  • Code generationOptimized Capability
  • Content creationOptimized Capability
Implementation Example
Example Prompt
Generate a code snippet for a REST API in Python.
Model Output
"```python\nfrom flask import Flask, jsonify\napp = Flask(__name__)\n\[email protected]('/api/data', methods=['GET'])\ndef get_data():\n return jsonify({'message': 'Hello, World!'})\n\nif __name__ == '__main__':\n app.run(debug=True)\n```"
Advantages
  • ✓ High computational efficiency with a compact architecture.
  • ✓ Robust performance in multi-turn dialogue scenarios.
  • ✓ Flexibility across various natural language processing tasks.
Limitations
  • ✗ Limited context window may affect longer text generation.
  • ✗ Performance may vary based on domain-specific applications.
  • ✗ Requires optimization for certain use case adaptability.
Model Intelligence & Architecture

Technical Documentation

Mistral Small 3.1 is designed to provide users with a lightweight yet powerful solution for natural language processing tasks. This model excels in generating high-quality text outputs while maintaining computational efficiency.

Technical Specification Sheet
Technical Details
Architecture
Causal Decoder-only Transformer
Stability
stable
Framework
PyTorch
Signup Required
No
API Available
Yes
Runs Locally
No
Release Date
2025-01-31

Best For

Startups and developers needing efficient NLP solutions.

Alternatives

GPT-3, Claude, and other large language models.

Pricing Summary

Available under an open-source license for community use.

Compare With

Mistral Small 3.1 vs GPT-3Mistral Small 3.1 vs ClaudeMistral Small 3.1 vs LLaMAMistral Small 3.1 vs OPT

Explore Tags

#Multimodal AI#ai-models

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