Overview & Capability
Microsoft Research's state-of-the-art 14B parameter open-weights reasoning model, trained on curated synthetic data with exceptional math and coding benchmarks.
Key Highlights
- 14B model outperforming larger 70B models in math and logic
- Permissive MIT / open license for edge and local deployment
- Optimized for ONNX Runtime and local GPU execution
Robbie's Independent Take
Verified: 2026-10-11
Excellent candidate for local execution with zero cloud lock-in. For 7B-8B parameter models, budget at least 8 GB of unified memory or VRAM (Q4_K_M quantization). For 32B-70B models, aim for 24 GB+ to maintain interactive throughput without CPU offload penalties.
Alternatives & Replaces
- Llama 3.3 8B
- Gemma 2 9B