capability_tags
公开事实
reasoning、math、code
高置信度，已绑定来源与证据。
条件：Set on 2026-10-20 from the model card: intended use lists reasoning and logic, the training section emphasises math, coding and common-sense reasoning data, and the repository is tagged math and code.
来源：Phi-4 model card证据：Model Summary: phi-4 is a 14B parameter dense decoder-only Transformer; Context length: 16K tokens; GPUs: 1920 H100-80G; Training data: 9.8T tokens; Release date: December 12, 2024; License: MIT; Status: static model trained on an offline dataset with cutoff dates of June 2024. Intended use highlights memory/compute constrained environments, latency bound scenarios, and reasoning and logic. Front matter: license: mit, tags include math, code, chat, conversational; library_name: transformers. The Hugging Face model API reports the repository as public and not gated.
公开事实
16384 tokens
高置信度，已绑定来源与证据。
条件：Re-verified on 2026-10-20 against the current model card; Context length: 16K tokens (no extended-context configuration is documented).
来源：Phi-4 model card证据：Model Summary: phi-4 is a 14B parameter dense decoder-only Transformer; Context length: 16K tokens; GPUs: 1920 H100-80G; Training data: 9.8T tokens; Release date: December 12, 2024; License: MIT; Status: static model trained on an offline dataset with cutoff dates of June 2024. Intended use highlights memory/compute constrained environments, latency bound scenarios, and reasoning and logic. Front matter: license: mit, tags include math, code, chat, conversational; library_name: transformers. The Hugging Face model API reports the repository as public and not gated.