> Canonical page: https://posttrainllm.com/artifacts/ane-m8-coreml-chain

Mac runtime artifact Parked 2026-06-17

# ANE M8 Core ML Chain

This artifact maps the boundary between owning the model and using Apple’s acceleration stack. It is parked because capability comes from our model/eval loop; Core ML is a deployment target, not the product center.

- ANE
- Core ML
- Qwen3
- Mac

## Headline Numbers

Evidence class applies to each value: measured = retained evaluation or runtime result; historical = recorded result not freshly reproduced; derived = calculated or decided from records; observed = current artifact state; not-measured = an explicit evidence gap.

ANE decode

 17 tok/s Qwen3 28-block layer-chunked chain historical

FoundationModels context

 4096 too small for real tool catalogs historical

Action grounding

 25% FoundationModels BFCL agentic full catalog historical

## Competitive Context

**System**

**Metric**

**Score**

**Size / Class**

**Comparable?**

**Readout**

 posttrainllm Qwen3 Core ML chain ANE decode 17 tok/s 28-block Qwen3 path Direct Runtime experiment only; capability still comes from posttrainllm weights and evals.

 Apple FoundationModels action grounding / context 25% / 4096 tokens Apple on-device model Directional Useful as a free local floor, but too weak to be the specialist capability dependency.

 posttrainllm active MLX path specialist eval readiness active owned weights Directional Preferred competition lane: model quality first, runtime optimization second.

Direct rows share this artifact's eval setup. Directional rows are useful market context but should not be read as leaderboard claims.

## Platform stance

**Path**

**Decision**

**Reason**

 Apple FoundationModels Routing floor only Weak action grounding and short context

 Our weights -> Core ML Optional future Battery/perf optimization if capability is already solved

 MLX/posttrainllm runtime Active Own the model and eval gate

## Release Blockers

### Capability dependency rejected

Apple's model cannot be the differentiator; it is a free local floor at best.

 Unblock: Only revive Core ML when a shipped posttrainllm specialist needs a battery/runtime optimization.

## Evidence

- [ANE/CoreML parked lane](https://posttrainllm.com/docs/parked/ane-coreml/)
- [Apple on-device model notes](https://posttrainllm.com/docs/learn/apple-on-device-foundation-models/)
- [Project status](https://github.com/PostTrainLLM/posttrainllm/blob/main/PROJECT_STATUS.md)

## Next Release Action

Leave parked. Keep the numbers public as boundary-mapping evidence.