Troy
Fine-tune LLMs on your MacBook with one YAML file
Details
- External ID
- 1250366
- Source
- PH
- Company
- —
- Product
- Troy
- Website domain
- producthunt.com
- Launched
- Sept. 18, 2026
- Cohort
- —
- Upvotes
- 2
- Upvotes percentile
- 0.7405388069275176
- Tags
- Open Source, Artificial Intelligence, GitHub, Apple
- Fetched at
- Sept. 19, 2026, 1:15 a.m.
- Updated at
- Sept. 19, 2026, 1:15 a.m.
Description
Troy fine-tunes and preference-tunes LLMs locally on Apple Silicon. Write one YAML file, run troy train, then chat, eval, serve an OpenAI-compatible API, or export to GGUF/Ollama and even iPhone apps. Built on MLX. No CUDA, no cloud, no pipeline.
Enrichment
- Theme
- ai voice dictation and transcription tools
- Vertical
- Horizontal
- Function
- Dev tools
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Commercial product
- Normalized one-liner
- local llm fine-tuning tool for macbook users
- Manually corrected
- False
Could you build this?
Partial The CLI wrapper and YAML configuration are straightforward, but correctly orchestrating local MLX fine-tuning, LoRA/QLoRA layers, DPO preference tuning, evaluation harnesses, and quantization exports for Apple Silicon requires solid machine learning engineering.
What it would actually take: The tool requires deep integration with Apple's MLX framework in Python or C++, implementing custom LoRA/DoRA adapter layers, gradient accumulation, and loss functions for SFT and DPO algorithms on unified memory architecture. It must handle GGUF conversion, quantizations (AWQ/GPTQ/GGUF formats), and bundle lightweight inference servers mimicking OpenAI's API. Substantial expertise in low-level ML frameworks, memory-bandwidth optimization on Apple Silicon, and modern LLM alignment methods is required.
Competitors
Other products that read as similar to this one — 39 launches clear the similarity bar, closest 8 shown.
Attention rank: #11 of 40 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 262 days after the earliest competitor.
- Rapid-MLX · hn · 2026-04-18 · 9 upvotes · similarity 0.43
- Writekin · hn · 2026-07-28 · 6 upvotes · similarity 0.39
- Gemma 4 Multimodal Fine-Tuner for Apple Silicon · hn · 2026-04-07 · 235 upvotes · similarity 0.37
- Go-CoreML · hn · 2026-01-14 · 6 upvotes · similarity 0.36
- local-llms-with-mlx · github · 2026-09-13 · 18 upvotes · similarity 0.36
- taskdistill · github · 2026-09-27 · 10 upvotes · similarity 0.36
- Run 500B+ Parameter LLMs Locally on a Mac Mini · hn · 2026-03-09 · 17 upvotes · similarity 0.36
- TRLoom · ph · 2026-09-15 · 3 upvotes · similarity 0.35
Other launches for this product
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