Axolotl 0.19 for LoRA, QLoRA and full fine-tuning from YAML configs.
Notebooks and ML
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Deploy on a live GPU, or pick an app and we find the GPU. Prices include the 10% fee.
Axolotl 0.19 for LoRA, QLoRA and full fine-tuning from YAML configs.
SciPy notebook with JAX 0.11.2 and its CUDA 12 wheels.
Jupyter Docker Stacks PyTorch notebook with a per-rental token; the same template runs on NVIDIA (CUDA) and AMD (ROCm) GPUs.
Jupyter Docker Stacks TensorFlow notebook with a per-rental token.
LLaMA-Factory's web UI and CLI for fine-tuning 100+ model families.
EleutherAI lm-evaluation-harness 0.4.13 with vLLM for fast benchmark runs.
cuDF, cuML and cuGraph in JupyterLab (RAPIDS 26.08).
PyTorch-native fine-tuning recipes (torchtune 0.6.1) on PyTorch 2.7.
Unsloth's fast LoRA/QLoRA fine-tuning in JupyterLab.