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OpenThoughts

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@open-thoughts

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6Public Repos
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27Published Skills

Open collaborations on data-centric research

Skills Distribution
DomainAI Models & ...HPC Cluster Orches.. (40%)Synthetic Data Gen.. (30%)Model Training & E.. (30%)

Agent Skills by OpenThoughts

Showing 27 vetted skills indexed across 1 GitHub repositories.

open-thoughtsopen-thoughts
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datagen-launch-iris

Orchestrate datagen jobs on Marin's Iris TPU cluster from launch to cleanup.

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Advanced
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rl-agentic-launch-jupiter

Launch agentic RL experiments on Jupiter with SkyRL, Harbor, and Daytona.

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monitor-job-tables

Format HPC job-status data into bucketed box-drawing tables.

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monitor-restore

Restore the 3-hour Jupiter+Leonardo cluster sweep loop via /loop 3h or CronCreate.

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monitor-restore-iris-cron

Re-register the every-3-hours Iris job-monitor cron via CronCreate.

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Advanced
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datagen-job-cleanup

Upload verified datagen traces to HF and free disk space.

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Advanced
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sft-job-cleanup

Publish finished LLaMA-Factory SFT jobs to Hugging Face and clean up HPC cluster state.

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eval-agentic-launch-iris

Manages the full lifecycle of Iris evaluation jobs via the command line.

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Advanced
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crud-otagent-supabase

Query, aggregate, and safely write OT-Agent eval data in Supabase.

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Advanced
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sft-cleanup-hf-only

Publish HF-only SFT cells to Hugging Face without database registration.

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eval-standard-cleanup

Consolidate finished standard eval jobs into a SCORES.md tracker.

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sft-launch-jupiter

Launch SFT experiments on Jupiter via hpc.launch with LLaMA-Factory.

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Advanced
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eval-agentic-cleanup

Audit and remediate agentic eval runs across SLURM workflows.

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Advanced
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datagen-launch

Launch datagen trace-generation jobs on HPC clusters and upload trajectories to HuggingFace.

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Advanced
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rl-job-cleanup

Publish the best RL training checkpoint to Hugging Face and Supabase after job termination.

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Advanced
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code-execute-staged-plan

Execute staged codebase plans with per-stage validation gates and agent_logs traceability.

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datagen-reduce-dataset-snapshots

Reduce Daytona snapshot counts by grouping Dockerfiles into shared environments.

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analyze-rl-behavior

Synthesize evaluation traces, training logs, and GPT-5 assessments into a structured behavioral report.

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Advanced
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supervisor-init

Bootstrap the lab supervisor role to orchestrate subagents, crons, and tools.

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Advanced
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rl-standard-launch-leonardo

Launch and manage offline SkyRL experiments on CINECA Leonardo via sbatch wrappers.

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monitor-cron-sweep

Consolidate squeue and sacct job statuses into a unified cross-cluster report.

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Advanced
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datagen-standard-launch

Generate synthetic datasets via Curator sharding or declarative data scripts.

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Intermediate
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code-create-staged-plan

Generate dependency-ordered staged plans for large codebase changes.

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eval-standard-launch

Automate Delphi 6279 RL-scaling-laws evaluation workflows on Leonardo with sbatch submission.

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Advanced

Frequently Asked Questions About OpenThoughts

FAQPage Schema
What specific tasks can I perform using OpenThoughts?

You can orchestrate synthetic data generation, launch LLaMA-Factory supervised fine-tuning jobs, execute reinforcement learning experiments, and manage cluster-wide evaluation lifecycles. It provides specific capabilities for job cleanup, Hugging Face publication, and cross-cluster status monitoring using SLURM and Cron-based scheduling.

Which technical personas benefit from these capabilities?

These capabilities are designed for research engineers and machine learning practitioners managing large-scale training runs on HPC clusters. It is ideal for those requiring structured oversight of distributed compute resources, dataset versioning, and automated evaluation reporting for agentic models.

What are the prerequisites for running these jobs?

Execution requires access to HPC environments like CINECA Leonardo or Jupiter, configured with SLURM for job submission. Dependencies include LLaMA-Factory for fine-tuning, Supabase for metadata storage, and authenticated access to Hugging Face for publishing verified training traces and model checkpoints.