Package
@metaharness/weight-eft
Fine-tune cheap open-source LLMs (GLM, Qwen, DeepSeek) on your AI coding agent's successful runs with LoRA (SFT + DPO) so your model cascade escalates to expensive frontier models (GPT, Claude) less often — cutting cost-per-resolved. Turns run history int
v0.1.1, 27 Jun 2026MITESM onlyTypes: Bundled
Key numbers
As of 25 Sept 2026
- Weekly downloads
- 16.3k
- - over 12 months
- Gzip bundle size
- -
- No Bundlephobia data
- Dependencies
- 0
- Direct, from package.json
- Last release
- 2 months ago
- v0.1.1
- GitHub stars
- 673
- 85 forks
- Open issues / PRs
- 116 / 20
- Contributors
- -
- Commits, last 52 weeks
- 973
No weekly download data in the snapshot.
16,317 downloads last week, 84,738 in the last month. No 52-week series has been fetched yet.
- Releases, last 12 months
- -
- Latest version
- 0.1.1, 27 Jun 20262 months ago
- First published
- -
- Last push to GitHub
- 24 Sept 2026same day as the snapshot
- Repository archived
- No
- Open issues
- 116
- Open pull requests
- 20
- Commits, last 52 weeks
- 973
- Dependents on npm
- 1
Major versions
-
Recent releases
-
- Module format
- ESM onlyFrom package.json type, main and exports fields
- TypeScript types
- Bundled
- Node.js engine range
- >=20.0.0
- Runtimes
- -
- Unpacked size (npm)
- 105 kB
- Dependencies (0)
- None
npm install @metaharness/weight-eft- jsDelivr
https://cdn.jsdelivr.net/npm/@metaharness/weight-eft@0.1.1/ - unpkg
https://unpkg.com/@metaharness/weight-eft@0.1.1/ - esm.sh
https://esm.sh/@metaharness/weight-eft@0.1.1
Indexability: Not indexed (discovery only): no category.