Commit Graph

2 Commits

Author SHA1 Message Date
mochi 62642b805b doc: prefer ModelScope for Whisper encoder weights (closes #4)
smoke / nanochat-smoke (push) Successful in 33s
W1 todo 里 audio.py 的 WhisperEncoder 之前写的是从 HF mirror 拉权重,
国内拉 HF(哪怕走 hf-mirror)经常被卡。改成首选 ModelScope(例如
iic/Whisper-large-v3 / iic/Whisper-small),HF mirror 留作 fallback。
infra 决定那条也顺手把 mirror 列表对齐到 pip / 模型权重 / HF 数据集
三条线,写清楚 modelscope 是模型权重首选。
2026-05-05 22:25:38 +01:00
Fam Zheng b585e07dc2 omni: CI smoke + docs + README preamble
smoke / nanochat-smoke (push) Successful in 2m30s
- .gitea/workflows/smoke.yml: gitea CI on ailab gpu runner (manual git
  clone since actions/checkout@v4 mis-resolves subpath gitea); injects
  WANDB_API_KEY + CI_RUN_TAG=smoke-$run_number
- scripts/smoke.sh: in-place smoke (uv sync + 1 shard + tokenizer +
  d=6 50-step base_train); idempotent cache at /data/nanochat-smoke/
- doc/research_feasibility.md: voice-first multimodal feasibility study (mochi)
- doc/todo.md: phase-by-phase roadmap (W1 Whisper smoke → W4 MVP)
- README.md: omni preamble pointing at upstream nanochat README
- .gitignore: exclude .claude/ runtime files
2026-05-05 22:21:31 +01:00