Fine-tuned Llama 3.2 3B to match 70B models for local transcripts
I wrote a small local tool to transcribe audio notes (Whisper/Parakeet). Code: https://github.com/bilawalriaz/lazy-notes I wanted to process raw transcripts locally without OpenRouter. Llama 3.2 3B with a prompt was decent but incomplete, so I tried SFT. I fine-tuned Llama 3.2 3B to clean/analyze dictation and emit structured JSON (title, tags, entities, dates, actions). Data: 13 real memos → Kimi K2 gold JSON → ~40k synthetic + gold; keys canonicalized. Chutes.ai (5k req/day). Training: RTX 4090 24GB, ~4h, LoRA (r=128, α=128, dropout=0.05), max seq 2048,…
Fine-tuned Llama 3.2 3B to match 70B models for local transcripts launched on September 1, 2025 with 31 votes, #505 of 8,160 launches that month and more than 90% of that year's launches. The site was not reachable when checked in September 2026.
In plain words
This tool fine-tunes Llama 3.2 3B to process audio transcripts locally. It transcribes voice notes using Whisper or Parakeet, then cleans and analyzes the text to produce structured JSON output including titles, tags, entities, dates, and action items. The fine-tuned model runs locally via llama.cpp and LM Studio without requiring external APIs. Designed for users who want to process dictation privately on their own hardware.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
I wrote a small local tool to transcribe audio notes (Whisper/Parakeet). Code: https://github.com/bilawalriaz/lazy-notes I wanted to process raw transcripts locally without OpenRouter. Llama 3.2 3B with a prompt was decent but incomplete, so I tried SFT. I fine-tuned Llama 3.2 3B to…
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