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tt-finetune

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by danielisraeli2409-jpg · Python · Apache-2.0 · 3⭐ ·

Parameter-efficient fine-tuning — LoRA, rsLoRA, LoRA+, DoRA, and IA3 — on a single Blackhole P150a, behind a Hugging Face/PEFT-style trainer API. Ships as a self-contained Linux wheel bundling the TT-XLA/PJRT plugin, TTNN, and TT-Metal user-space libraries, so no source checkout, Docker, or PYTHONPATH setup is required. Includes a static planner that reports memory admission before you compile, deterministic checkpoint/resume, and standard PEFT adapter export.

📦 Repo
LATEST v0.2.1 2026-08-28T17:21:58Z Release notes ↗
2 previous releases
demo-2026-08-29 2026-08-29T15:44:38Z
v0.2.0 2026-08-26T07:14:15Z
See all releases on GitHub ↗
fine-tuning training lora peft blackhole
blackhole