Unsloth notebooks
Unsloth's fast LoRA/QLoRA fine-tuning in JupyterLab.
Needs 15 GiB VRAM · CUDA on NVIDIA
No GPU big enough is free right now.
New machines appear as hosts connect them.
No speed benchmarks yet, so we match on price.
Template details
- Rating
- No ratings yet
- Runs
- 0
- Min VRAM
- 16 GB
- Backend
- CUDA · NVIDIA GPUs
- Version
- unsloth-jupyter-v1.0.0
- Image digest
- 6cc938b2fe7a…
- Health check
- SSH probe on the leased endpoint
Web UI on the leased HTTP endpoint, protected by the per-job credential; SSH as the tenant too. Upstream publishes date-stamped nightly tags only (core-nightly-2026.09.24). Thin AmpleRun wrapper (templates/images/workspace, variant nb-unsloth) over unsloth/unsloth:core-nightly-2026.09.24@sha256:82ca28836356f94c2ed4b041e2d0900aadfddb115d58ba63f6f7e22f92fad0a1 (digest verified 2026-09-26); NOT BUILT, so image_digest is a placeholder that can be neither published nor rented. Licence: Apache-2.0 (https://github.com/unslothai/unsloth/blob/main/LICENSE). Needs an NVIDIA driver that supports CUDA 12.8 or newer. Status: not hardware-tested.
We match GPUs on their measured runtime and dedicated VRAM. A hardware report doesn't qualify another vendor's backend.
#fine-tuning #unsloth #notebook
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