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README.md

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+---
+license: mit
+base_model: microsoft/FastContext-1.0-4B-SFT
+pipeline_tag: text-generation
+tags:
+- core-ai
+- coreml
+- on-device
+- ios
+- iphone
+- qwen3
+language:
+- en
+---
+
+# FastContext-1.0-4B-SFT — Core AI (on-device, iPhone)
+
+[microsoft/FastContext-1.0-4B-SFT](https://huggingface.co/microsoft/FastContext-1.0-4B-SFT)
+converted to Apple **Core AI** for on-device inference, served by the **CoreAIChat** app.
+
+FastContext is a long-context **repository-exploration agent** (Qwen3-4B-Instruct
+backbone, supervised-fine-tuned on exploration traces: broad first-turn search,
+multi-turn evidence gathering, and precise file:line citation generation).
+
+## Contents
+- `gpu/` — AOT-compiled **GPU (MPSGraph)** bundle, 4-bit linear-INT4, **h18p**
+  (iPhone 17 / iPhone 18 class). ~2.1 GB. Drop-in for CoreAIChat's
+  `Documents/models/fastcontext_4b_gpu`.
+
+> **Device class:** this is an **AOT h18p** bundle (iPhone 17 / 18 class). On-device
+> specialization of a 4B graph is not viable, so the bundle is precompiled for the
+> h18p GPU — the same approach Core AI uses for the Gemma-4B bundle.
+
+## Verified on iPhone 17 Pro (iOS 27)
+- **Parity** vs HF fp16 (teacher-forced): **23/24 argmax**, perplexity 1.41 — the
+  single flip is a near-tie quant-noise position.
+- **On-device GPU:** ~**334 tok/s** prefill, ~**16.5 tok/s** decode (512-prompt /
+  1024-gen), load ~8 s cold, ~0.3 GB resident (weights memory-mapped).
+
+## Use
+Install **CoreAIChat**, open the model picker, and select **FastContext 4B**.
+
+## License
+MIT, inherited from the base model
+[microsoft/FastContext-1.0-4B-SFT](https://huggingface.co/microsoft/FastContext-1.0-4B-SFT).
+See `LICENSE`.