INFO: 172.19.0.3:52548 - "POST /api/v1/datasets/download HTTP/1.0" 200 OK INFO: 127.0.0.1:46426 - "GET /health HTTP/1.1" 200 OK INFO: 172.19.0.3:48310 - "GET /api/v1/models/ HTTP/1.0" 200 OK INFO: 172.19.0.3:48320 - "GET /api/v1/datasets/ HTTP/1.0" 200 OK INFO: 172.19.0.3:48332 - "GET /api/v1/training/jobs HTTP/1.0" 200 OK 2026-05-15 17:24:03 | INFO | peft-platform | Job 5999c2df-0b6a-4ec2-a99a-9894ef923a85 enqueued 2026-05-15 17:24:03 | INFO | peft-platform | Training job created: 5999c2df-0b6a-4ec2-a99a-9894ef923a85 INFO: 172.19.0.3:48340 - "POST /api/v1/training/jobs HTTP/1.0" 200 OK 2026-05-15 17:24:03 | INFO | peft-platform | Preprocessed 60 samples for sft/alpaca INFO: 172.19.0.3:48356 - "GET /api/v1/training/jobs HTTP/1.0" 200 OK INFO: 172.19.0.3:48362 - "GET /api/v1/models/ HTTP/1.0" 200 OK INFO: 172.19.0.3:48360 - "GET /api/v1/datasets/ HTTP/1.0" 200 OK 2026-05-15 17:24:13 | INFO | peft-platform | CUDA available: True 2026-05-15 17:24:13 | INFO | peft-platform | CUDA device count: 1 2026-05-15 17:24:13 | INFO | peft-platform | GPU 0: MetaX N260 2026-05-15 17:24:13 | INFO | peft-platform | GPU 0 memory: 63.78 GB [transformers] `torch_dtype` is deprecated! Use `dtype` instead! 2026-05-15 17:24:14 | WARNING | fla.utils | Current Triton version 3.0.0 is below the recommended 3.2.0 version. Errors may occur and these issues will not be fixed. Please consider upgrading Triton. 2026-05-15 17:24:14 | WARNING | fla.utils | Current Python version 3.10 is below the recommended 3.11 version. It is recommended to upgrade to Python 3.11 or higher for the best experience. 2026-05-15 17:24:20 | WARNING | fla.ops.rwkv7.fused_addcmul | torch.compile is not available in Python 3.10, using identity decorator instead /opt/conda/lib/python3.10/site-packages/torchvision/datapoints/__init__.py:12: UserWarning: The torchvision.datapoints and torchvision.transforms.v2 namespaces are still Beta. While we do not expect major breaking changes, some APIs may still change according to user feedback. Please submit any feedback you may have in this issue: https://github.com/pytorch/vision/issues/6753, and you can also check out https://github.com/pytorch/vision/issues/7319 to learn more about the APIs that we suspect might involve future changes. You can silence this warning by calling torchvision.disable_beta_transforms_warning(). warnings.warn(_BETA_TRANSFORMS_WARNING) /opt/conda/lib/python3.10/site-packages/torchvision/transforms/v2/__init__.py:54: UserWarning: The torchvision.datapoints and torchvision.transforms.v2 namespaces are still Beta. While we do not expect major breaking changes, some APIs may still change according to user feedback. Please submit any feedback you may have in this issue: https://github.com/pytorch/vision/issues/6753, and you can also check out https://github.com/pytorch/vision/issues/7319 to learn more about the APIs that we suspect might involve future changes. You can silence this warning by calling torchvision.disable_beta_transforms_warning(). warnings.warn(_BETA_TRANSFORMS_WARNING) Loading weights: 100%|██████████| 320/320 [00:00<00:00, 382.46it/s] 2026-05-15 17:24:21 | INFO | peft-platform | Loaded model: Qwen/Qwen3.5-0.8B Map: 100%|██████████| 60/60 [00:00<00:00, 2212.59 examples/s] /opt/conda/lib/python3.10/site-packages/peft/tuners/tuners_utils.py:1348: UserWarning: Model has `tie_word_embeddings=True` and a tied layer is part of the adapter, but `ensure_weight_tying` is not set to True. This can lead to complications, for example when merging the adapter or converting your model to formats other than safetensors. Check the discussion here: https://github.com/huggingface/peft/issues/2777 warnings.warn(msg) [transformers] warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead. trainable params: 5,070,848 || all params: 757,463,872 || trainable%: 0.6695 0%| | 0/12 [00:00