[bounty] script to fine tune local LLM or OpenAI on your screenpipe data

[louis030195]

/bounty 100

definition of done:

• simple to use script (can be python, whatever) to fine tune model (LLM like llama3.2 or multimodal or OpenAI) on your screenpipe data
• some docs to run it and then use the LLM in your pipes or screenpipe app settings (like ollama or openai)

[linear[bot]]

MED-302 [bounty] script to fine tune local LLM or OpenAI on your screenpipe data

[algora-pbc[bot]]

💎 $100 bounty • mediar.ai

Steps to solve:

1. Start working: Comment /attempt #717 with your implementation plan
2. Submit work: Create a pull request including /claim #717 in the PR body to claim the bounty
3. Receive payment: 100% of the bounty is received 2-5 days post-reward. Make sure you are eligible for payouts

❗ Important guidelines:

• To claim a bounty, you need to provide a short demo video of your changes in your pull request
• If anything is unclear, ask for clarification before starting as this will help avoid potential rework
• Low quality AI PRs will not receive review and will be closed
• Do not ask to be assigned unless you've contributed before

Thank you for contributing to mediar-ai/screenpipe!

Attempt	Started (UTC)	Solution	Actions
🟢 @mfenderov	Jan 15, 2026, 01:53:10 PM	#2047	Reward
🟢 @	Feb 17, 2025, 11:52:58 AM	WIP
🟢 @Quanta-Naut	Sep 20, 2025, 09:44:43 AM	WIP

[srikrishnavansi]

/attempt #717 Hey can i get more details i can do this.

Options

• Cancel my attempt

[Quanta-Naut]

/attempt #717

[mfenderov]

/attempt #717

Implementation Plan

I'll create a Python script to fine-tune LLMs on screenpipe data with the following approach:

Deliverables

1. finetune_screenpipe.py - Main script supporting:

   • Local fine-tuning with Llama 3.2 (via unsloth/transformers)
   • OpenAI fine-tuning API option
   • Automatic data extraction from screenpipe SQLite DB

2. Data Processing

   • Extract OCR text, audio transcripts from screenpipe DB
   • Format as instruction-following dataset (Q&A pairs)
   • Support conversation-style and completion-style formats

3. Documentation

   • Clear README with installation steps
   • Examples for both local (ollama) and cloud (OpenAI) workflows
   • Integration guide for screenpipe pipes/settings

Timeline

• Day 1: Data extraction + formatting
• Day 2: Fine-tuning scripts + docs
• Day 3: Testing + PR submission