Collab proposal: optional diagnostics + repro bench (no new deps)

[Lemniscate-world]

Hi Gavin, thanks for AirLLM — layer-wise streaming is the reason big models run on small cards at all.

Context: I maintain NeuralDBG (MIT, causal debugger for PyTorch training) and its auto-fix loop Neural-Agent. I've just opened #375 (MLX rope_theta fix for #368, offline-tested) as a first contribution.

I'd like to help on what hurts most, in small reviewable pieces with zero new dependencies unless you want them:

1. Repro VRAM bench (Headline VRAM and performance claims lack reproducible verification #295) — script logging VRAM + tok/s on reference models (Qwen2-0.5B / Qwen3-8B) so headline claims are verifiable per commit.
2. I/O stall timings (Windows + NVIDIA: 28.6 s/token on a 3B model — extremely slow layer streaming (looked like a hang, no progress output) #364 / Extermly slow inference(30 mins per query) running GPT-OSS 20B with AirLL #374) — optional per-layer disk-vs-compute breakdown in profiling_mode, so slow generate() reports say which layer stalls instead of looking like a hang.
3. Zero-dep per-layer NaN/Inf guard — I have a CPU-testable prototype (AirLLMObserver: observes layer outputs after your streaming hooks, never touches the hot path when disabled). Happy to contribute it as examples/ or behind a flag — your call on placement.
4. Ollama bridge example (Integration with ollama server #199) — minimal server wrapper reusing generate(), if you want it.

I deliberately stayed away from #365 (already covered by open #366).

Question: which of these would be most useful to you next, and where should it live? I'll take them one at a time, tests included, starting with whatever you point at.

[Lemniscate-world]

Update on item 1: opened #388 (reproducible VRAM/stall report for #295) — a small example script printing device, tok/s, CUDA peak MB, host RSS delta and a slow-call flag, offline-tested, zero new deps.

No rush on this thread — pointing at whichever item would actually help you (bench, I/O stall timings, NaN guard, or the Ollama bridge) is enough, and I'll take it from there.