Architecture
data/models.yaml. Every label is auditable
against the model's sources.
Specs
- Architecture
- dense
- Total params
- 14B
- Active params
- 14B
- Context window
- 32K tokens
- Attention
- unknown
- Position encoding
- unknown
- Pretraining tokens
- 16B
- Training hardware
- H100
- Post-training
- sft, rl
- OSI-approved
- yes
- Data released
- no
- Training code
- not released
Benchmarks
Each score carries the date it was published; we never infer or interpolate missing scores.
General reasoning
| MMLU-Pro | 74.3 | as of 2025-04-30 | source ↗ |
| GPQA-Diamond | 65.8 | as of 2025-04-30 | source ↗ |
Code
| LiveCodeBench | 53.8 | as of 2025-04-30 | source ↗ |
Available quantizations
GGUF llama.cpp's container; the common local format, k-quants from Q2 to Q8.
runs on llama.cpp, Ollama
FP8 8-bit float, frequently a native release on Hopper / Blackwell GPUs.
runs on vLLM, SGLang, TensorRT-LLM
Verified via the Hugging Face model tree ↗. Community quantizations change over time; the families shown are those with published weights at audit time.
Notable innovations
- · SFT-only reasoning recipe at 14B
- · 16B-token reasoning post-training corpus
- · Phi-4-reasoning-plus variant adds RL stage
Lineage
SFT-only reasoning derivative of Phi-4 at 14B.
Derived from
Phi-4 2024-12-12