Product upvotes vs the next 3

Waiting for data. Loading

Product comments vs the next 3

Waiting for data. Loading

Product upvote speed vs the next 3

Waiting for data. Loading

Product upvotes and comments

Waiting for data. Loading

Product vs the next 3

Loading

Monostate AItraining

Fine-tuning, RL, and inference in one CLI

Fine-tune LLMs and ML models with automatic dataset conversion, hyperparameter sweeps, and custom RL environments - monostate/aitraining

Top comment

Hey everyone! I'm Andrew, the dev of AITraining. I built this because I kept losing time to trainer boilerplate instead of actually iterating on models. The other frustration was hardware—code that worked on NVIDIA would break on my Mac's MPS, and tools like HuggingFace's Autotrain didn't handle these edge cases well. AITraining wraps all of that into a CLI wizard that walks you through model selection, dataset conversion (auto-detects 6 formats), and training config. It supports SFT, DPO, ORPO, PPO, reward modeling, and knowledge distillation. After training, aitraining chat lets you test and compare iterations locally. Works on consumer hardware—auto-detects Apple Silicon vs CUDA and optimizes accordingly. Built on HuggingFace's ecosystem and open source (Apache 2.0). Docs available in English, Spanish, Chinese, and Portuguese. Would love to hear what training workflows or features you'd find useful. PRs welcome!

About Monostate AItraining on Product Hunt

Fine-tuning, RL, and inference in one CLI

Monostate AItraining launched on Product Hunt on December 3rd, 2025 and earned 59 upvotes and 1 comments, placing #31 on the daily leaderboard. Fine-tune LLMs and ML models with automatic dataset conversion, hyperparameter sweeps, and custom RL environments - monostate/aitraining

On the analytics side, Monostate AItraining competes within Artificial Intelligence, GitHub, Tech and Data Science — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Monostate AItraining performed against the three products that launched closest to it on the same day.

Who hunted Monostate AItraining?

Monostate AItraining was hunted by Andrew Correa. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of Monostate AItraining including community comment highlights and product details, visit the product overview.