rob thijssen
b400e8b704
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Resolves the candle harness's HuggingFace cache directory with the
following precedence (first hit wins):
1. Explicit `hf_cache` in `[harness.candle]` from neuron.toml.
2. `HF_HUB_CACHE` env var — the Python `huggingface_hub` convention.
The Rust hf-hub crate doesn't read this natively, so we bridge here.
3. `HF_HOME` env var (`$HF_HOME/hub` per the canonical layout).
4. None — falls through to hf-hub's own default.
Honouring HF_HUB_CACHE lets a neuron host reuse an existing cache
directory shared with Python tooling or other harnesses on the same
host without per-tool config. The canonical per-host setup is a
systemd drop-in:
/etc/systemd/system/neuron.service.d/local.conf
[Service]
Environment=HF_HUB_CACHE=/archive/hf-cache
neuron.example.toml documents the resolution chain inline.
script/validate-neuron.sh: bump LOAD_TIMEOUT from 600s to 3600s and
expose both load/infer timeouts via env (NEURON_LOAD_TIMEOUT,
NEURON_INFER_TIMEOUT). A Qwen3.6-class dense model is ~54 GB and was
hitting the 10-min ceiling cold-downloading on a residential link.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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