Uzombie v1 — The fastest single-GPU LLM fine-tuning engine
Hybrid research stack (GaLore grad projection + LoRA-FA activation caching + Universal Subspaces + DoRA) on top of Unsloth fused kernels, with exact-time scheduling, zero-config CLI, and safe Hugging Face uploads.
Install
pip install -e .
Requires Python 3.10+, CUDA 12.4 wheels (see requirements.txt).
Quickstart
python -m uzombie \
--model unsloth/tinyllama-chat-bnb-4bit \
--dataset yahma/alpaca-cleaned \
--time 10m \
--goal balanced \
--style sft
Key features
- Unsloth fused kernels (4-bit, Flash/xFormers) for 3.5–4× over vanilla HF.
- Hybrid projector: GaLore (arXiv:2403.03507), LoRA-FA (arXiv:2305.14314), Universal Subspaces (arXiv:2512.05117), DoRA (arXiv:2402.09353).
- Exact-time scheduler (Goyal scaling).
- Torch.compile (
reduce-overhead) by default. - Safe HF upload with
merge_and_unload+ safe serialization. - Dynamic VRAM-aware batch/accum/LR scaling (16/24/40 GB tiers).
- Optional MT-Bench run via
lm-eval. - Optional Accelerate/DeepSpeed passthrough.
CLI flags (new/important)
--use_dora: force DoRA on; default is on for balanced/best, off for fast.--mt-bench: run MT-Bench via lm-eval after training (slow; requireslm-evalinstalled).--accelerate-config: path to an Accelerate config to enable multi-GPU/DeepSpeed.--deepspeed: path to a DeepSpeed config JSON (passed through TRL/Transformers).--push-to-hub <repo>: auto-upload; performs merge_and_unload when available, safe serialization.
Behavior notes
- VRAM scaling: batch/accum and LR are adjusted by detected VRAM (≈1.5× for 16 GB, 2× for 24 GB, 4× for 40 GB; capped to keep stability).
- Callbacks are registered after trainer construction to avoid scope errors.
- Upload path uses merge_and_unload when supported; tokenizer is always pushed.
Testing
Light sanity tests live in tests/:
pytest tests/test_cli.py
(Integration/MT-Bench and heavy speed benchmarks are optional and not run in CI.)
Benchmark script
run_all_tests.sh runs syntax/import checks, unit tests, projector SVD smoke, a 1-minute fine-tune, and a speed check.
Quick reference
UzombieProjector:src/uzombie/core/hybrid_projector.py- CLI entry:
src/uzombie/cli.py - Safe upload:
src/uzombie/utils/upload.py
Metadata
Release files for uzombie 1.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| uzombie-1.0.2.tar.gz | 23.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| uzombie-1.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 50.4 kB
Release files / uzombie-1.0.2.tar.gz
| Download URL | uzombie-1.0.2.tar.gz |
|---|---|
| Size | 23.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.11.14
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Release files / uzombie-1.0.2-py3-none-any.whl
| Download URL | uzombie-1.0.2-py3-none-any.whl |
|---|---|
| Size | 26.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.14
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