{
 "schema_version": 1,
 "generated": "2026-10-24",
 "id": "aibuildai-inc-aibuildai-llm-posttrain-agent--post-train-gsm8k-example-model",
 "repo": "aibuildai-inc/aibuildai-llm-posttrain-agent",
 "repo_url": "https://github.com/aibuildai-inc/aibuildai-llm-posttrain-agent",
 "repo_slug": "aibuildai-inc-aibuildai-llm-posttrain-agent",
 "title": "Post-train a base model on a math task overnight",
 "page_title": "How to post-train a base model on a math task overnight with Aibuildai LLM Posttrain Agent",
 "summary": "Run the bundled GSM8K example to turn Qwen3-1.7B-Base into a grade-school math solver.",
 "who": "An ML engineer with one GPU who wants a working end-to-end post-training run before adapting the tool to their own data.",
 "problem": "Setting up an autonomous post-training pipeline from scratch is slow, and it is hard to tell whether the agent works on a real task.",
 "outcome": "A merged model directory (deliverable/final_model) trained against the GSM8K grader, plus a live workspace view of the run.",
 "steps": [
  "Confirm the requirements, then run `python -m venv .venv && source .venv/bin/activate`",
  "Run `pip install -r requirements.lock && pip install -e . --no-deps`",
  "Authenticate with `claude auth login`, or run `export AIBUILDAI_API_KEY=sk-ant-...`",
  "Build the example task with `bash examples/gsm8k-qwen3-1.7b-base/setup.sh ~/gsm8k-example`",
  "Start the run with `aibuildai run ~/gsm8k-example/task.yaml` and open the printed workspace URL"
 ],
 "agent_prompt": "In the aibuildai-llm-posttrain-agent repo, run the GSM8K example setup and then `aibuildai run` on the generated task.yaml. Expected output: a deliverable/final_model directory under the run home. Verify by confirming the run_config.json and deliverable folders exist before reporting success.",
 "agents": [
  "any"
 ],
 "difficulty": "Advanced",
 "time": "3 hours",
 "basis": "readme",
 "caveat": "The README says the example takes about two hours on one GPU and the setup downloads about 4 GB, so the first run depends heavily on your hardware and network.",
 "category": "Software and DevOps",
 "tags": [
  "Software and DevOps"
 ],
 "lang": "python",
 "requirements": [
  "Linux x86_64 with a systemd user session and Python 3.11 to 3.13",
  "A C toolchain (gcc, make) with zlib and readline headers, plus bwrap (bubblewrap) with unprivileged user namespaces enabled",
  "A Claude Code login or an Anthropic API key, or an Anthropic-compatible endpoint and its key",
  "A CUDA GPU is recommended",
  "Network access to GitHub releases and ftp.postgresql.org"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": true,
 "score": 1.0,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/aibuildai-inc-aibuildai-llm-posttrain-agent/post-train-gsm8k-example-model/",
 "md": "https://dedupedai.com/use-cases/aibuildai-inc-aibuildai-llm-posttrain-agent/post-train-gsm8k-example-model/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/aibuildai-inc-aibuildai-llm-posttrain-agent--post-train-gsm8k-example-model.json",
 "api_version": "v1"
}