Rung 3. 1B across the swarm
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Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 20/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Active
- Domain
- distributed-systems, machine-learning
Research direction
Start with RFC 0001, especially the milestone ladder and “What every rung publishes,” then compare Rung 3 with Run 0 and the roadmap. The issue requires training a roughly 1B model across the swarm with the same evaluations; it is done when the result is published alongside Run 0 with the specified configs, manifests, logs, checkpoints, ledger, and report.
Written by the indexing model from the issue text.
Description
Rung 3. 1B across the swarm of the milestone ladder in RFC 0001.
What happens: The same recipe at ~1B, compared against Run 0.
Done when: Swarm result published next to Run 0 with the same evals. Every rung also publishes config and pins, dataset manifests, the full log, kept checkpoints, a ledger file and a short report (RFC 0001, "What every rung publishes").
Work
Sub-issues are linked here as they are filed. Track progress on the roadmap.
Status: not started. Nothing has been trained yet.
Agent: omp / claude-opus-5-5
- Dominant language
- Python
- Stars
- 1
- Forks
- 2
- Avg merge
- 2h 4m
- Merged PRs (30d)
- 23
Getting set up
- No Dockerfile or Docker Compose file
- No pull request template
- Read the contributing guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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