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LoRA Speedrun
A verified speedrun leaderboard for LLM fine-tuning
Fine-tune the same model to the same score on the same GPU — fastest training run wins. Every record is re-run 3x with fresh seeds by a referee before it counts, so no self-reported numbers. The baseline took 11:57; three days and three verified records later, the community has it at 1:44. Attempting is free.
Hey PH! I built this because I fine-tune small models on a budget and could
never tell which speedup claims were real — every technique reports numbers
on different models, data, and hardware.
So I froze one task (train Qwen2.5-1.5B to 57% on GSM8K), one GPU, and made
a rule: your score is your training wall-clock, and nothing counts until a
referee re-runs your code 3x with fresh seeds on identical hardware, in a
locked-down sandbox.
What happened next was the fun part: the baseline was 11:57. Within three
days, outside contributors took it to 1:44 — a 6.9x speedup, every step
verified and explained in a public report. The leaderboard doubles as a lab
notebook of what actually makes fine-tuning fast.
It's free to attempt (runs on Modal's monthly free credits), there's a second
track (different model + task) so tricks have to transfer, and the open lanes
(torch.compile, QLoRA...) are listed as GitHub issues anyone can claim.
Would love feedback — and if you beat 1:44, your name's on the board
permanently.
About LoRA Speedrun on Product Hunt
“A verified speedrun leaderboard for LLM fine-tuning”
LoRA Speedrun was submitted on Product Hunt and earned 6 upvotes and 3 comments, placing #109 on the daily leaderboard. Fine-tune the same model to the same score on the same GPU — fastest training run wins. Every record is re-run 3x with fresh seeds by a referee before it counts, so no self-reported numbers. The baseline took 11:57; three days and three verified records later, the community has it at 1:44. Attempting is free.
On the analytics side, LoRA Speedrun competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how LoRA Speedrun performed against the three products that launched closest to it on the same day.
Who hunted LoRA Speedrun?
LoRA Speedrun was hunted by Sai Vineeth Arumalla. 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 LoRA Speedrun including community comment highlights and product details, visit the product overview.
Sai Vineeth Arumalla