{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "xzf-thu-voicemem--fine-tune-voicemem-adapter",
 "repo": "xzf-thu/VoiceMem",
 "repo_url": "https://github.com/xzf-thu/VoiceMem",
 "repo_slug": "xzf-thu-voicemem",
 "title": "Fine-tune a Voice Mem model family adapter",
 "page_title": "How to fine-tune a Voice Mem model family adapter with Voice Mem",
 "summary": "Train your own adapter on the provided training script and reproduce the default configuration.",
 "who": "A machine learning engineer who wants a custom Voice Mem memory-reading adapter for a different dataset or base model.",
 "problem": "Off-the-shelf models may not read Voice Mem memory well for a specific domain, so the team needs its own adapter.",
 "outcome": "A trained adapter checkpoint produced with the default settings, matching the configuration of the released checkpoint-3318.",
 "steps": [
  "Clone the repo and install the training tools with `pip install ms-swift==4.5.2 bitsandbytes`.",
  "Prepare training data in the format described in finetune/README.md.",
  "Run `python finetune/train.py --data data/train.jsonl` with default parameters.",
  "Check GPU memory requirements and base model options in finetune/README.md before changing the base model."
 ],
 "agent_prompt": "In the VoiceMem repo at <repo path>, install ms-swift==4.5.2 and bitsandbytes, then run finetune/train.py with my dataset <dataset path>. Expected output is a trained adapter. Verify the run uses the default parameters described in the README.",
 "agents": [
  "any"
 ],
 "difficulty": "Advanced",
 "time": "3 hours",
 "basis": "readme",
 "caveat": "The README mentions GPU memory requirements without giving numbers here, so check finetune/README.md before starting a run.",
 "category": "Software and DevOps",
 "tags": [
  "Software and DevOps"
 ],
 "lang": "python",
 "requirements": [
  "Python 3.10 or newer",
  "An OpenAI API key, used for fact extraction when memories are written",
  "Git and access to GitHub and Hugging Face to clone the repo and download the default models",
  "Audio input (a WAV file or a microphone) if you want to ingest speech"
 ],
 "risk": "sensitive",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.6,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/xzf-thu-voicemem/fine-tune-voicemem-adapter/",
 "md": "https://dedupedai.com/use-cases/xzf-thu-voicemem/fine-tune-voicemem-adapter/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/xzf-thu-voicemem--fine-tune-voicemem-adapter.json",
 "api_version": "v1"
}