🧠 Model
Phi-3-mini-128k-instruct
by microsoft
--- license: mit license_link: https://huggingface.co/microsoft/Phi-3-mini-128k-instruct/resolve/main/LICENSE language: - en pipeline_tag: text-generation tags:
🕐 Updated 12/19/2025
🧠 Architecture Explorer
Neural network architecture
1 Input Layer
2 Hidden Layers
3 Attention
4 Output Layer
About
🎉**Phi-4**: [multimodal-instruct | onnx]; [mini-instruct | onnx] The Phi-3-Mini-128K-Instruct is a 3.8 billion-parameter, lightweight, state-of-the-art open model trained using the Phi-3 datasets. This data...
📝 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/microsoft/Phi-3-mini-128k-instruct","fetched_at":"2025-12-19T07:41:01.176Z","adapter_version":"3.2.0"}]
📚 Related Resources
📄 Related Papers
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📊 Training Datasets
Training data information not available. Refer to the original model card for details.