🧠 Model
Mistral-Small-24B-Instruct-2501
by mistralai
--- library_name: vllm language: - en - fr - de - es - it - pt - zh - ja - ru - ko license: apache-2.0 inference: false base_model: - mistralai/Mistral-Small-24B-Base-2501 extra_gated_description: >- If you want to learn more about how we process your personal data, please read our Privacy Policy. t...
🕐 Updated 12/18/2025
🧠 Architecture Explorer
Neural network architecture
1 Input Layer
2 Hidden Layers
3 Attention
4 Output Layer
About
Mistral Small 3 ( 2501 ) sets a new benchmark in the "small" Large Language Models category below 70B, boasting 24B parameters and achieving ...
📝 Limitations & Considerations
- • Benchmark scores may vary based on evaluation methodology and hardware configuration.
- • VRAM requirements are estimates; actual usage depends on quantization and batch size.
- • FNI scores are relative rankings and may change as new models are added.
- • Data source: [{"source_platform":"huggingface","source_url":"https://huggingface.co/mistralai/Mistral-Small-24B-Instruct-2501","fetched_at":"2025-12-18T04:21:59.004Z","adapter_version":"3.2.0"}]
📚 Related Resources
📄 Related Papers
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📊 Training Datasets
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