Grant
9dde938348
Backend:
- download.py module: drives ./hf-download.sh <repo> [-c --copy-parallel] over SSH, parses tqdm output (regex matches '8%|...| 2.06G/25.1G [03:20<18:35, 20.6MB/s]') into percent + bytes done/total + elapsed + ETA + rate
- DownloadManager: in-memory job tracking with asyncio.Lock (one download at a time)
- POST /api/download, GET /api/download/{id}, SSE /api/download/{id}/stream
- Phase detection: Connecting / Fetching N files / Downloading / Copying to peer Sparks / Done
Frontend:
- '+ Download a new model' button next to LLM swap section title
- Inline form: HF repo text field + solo/cluster radio + Cancel/Start
- Progress UI: spinner, elapsed timer, phase label, percent fill, stats line (bytes/rate/ETA), collapsible raw logs
Package: bump 0.2.1:0
14 lines
509 B
TypeScript
14 lines
509 B
TypeScript
import { VersionInfo, IMPOSSIBLE } from '@start9labs/start-sdk'
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export const v0_1_0 = VersionInfo.of({
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version: '0.2.1:0',
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releaseNotes: {
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en_US:
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'Model download from the dashboard. Click "+ Download a new model", paste a Hugging Face repo (e.g. RedHatAI/...), choose solo or cluster, and watch %% progress with bytes, rate, and ETA. Drives ./hf-download.sh on Spark 1 over SSH and parses the tqdm output.',
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},
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migrations: {
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up: async ({ effects }) => {},
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down: IMPOSSIBLE,
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},
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})
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