olmo-qlora-1 / debug.log
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[2026-01-10 17:09:55,819] [DEBUG] [axolotl.utils.config.resolve_dtype:66] [PID:621358] bf16 support detected, enabling for this configuration.
[2026-01-10 17:09:56,050] [DEBUG] [axolotl.utils.config.log_gpu_memory_usage:127] [PID:621358] baseline 0.000GB ()
[2026-01-10 17:09:56,051] [INFO] [axolotl.cli.config.load_cfg:263] [PID:621358] config:
{
"activation_offloading": false,
"adapter": "qlora",
"axolotl_config_path": "olmo-stage1.yaml",
"base_model": "allenai/Olmo-3.1-32B-Instruct",
"base_model_config": "allenai/Olmo-3.1-32B-Instruct",
"batch_size": 2,
"bf16": true,
"capabilities": {
"bf16": true,
"compute_capability": "sm_86",
"fp8": false,
"n_gpu": 1,
"n_node": 1
},
"context_parallel_size": 1,
"cut_cross_entropy": true,
"dataloader_num_workers": 1,
"dataloader_pin_memory": true,
"dataloader_prefetch_factor": 256,
"dataset_num_proc": 24,
"dataset_prepared_path": "last_run_prepared",
"datasets": [
{
"message_property_mappings": {
"content": "content",
"role": "role"
},
"path": "../marvin_philip_k_dick.json",
"trust_remote_code": false,
"type": "completion"
},
{
"message_property_mappings": {
"content": "content",
"role": "role"
},
"path": "../marvin_thomas_ligotti.json",
"trust_remote_code": false,
"type": "completion"
},
{
"message_property_mappings": {
"content": "content",
"role": "role"
},
"path": "../marvin_greg_egan.json",
"trust_remote_code": false,
"type": "completion"
},
{
"message_property_mappings": {
"content": "content",
"role": "role"
},
"path": "../erotica_quality_trimmed.json",
"trust_remote_code": false,
"type": "completion"
}
],
"ddp": false,
"device": "cuda:0",
"device_map": "auto",
"dion_rank_fraction": 1.0,
"dion_rank_multiple_of": 1,
"env_capabilities": {
"torch_version": "2.9.1"
},
"eval_batch_size": 1,
"eval_causal_lm_metrics": [
"sacrebleu",
"comet",
"ter",
"chrf"
],
"eval_max_new_tokens": 128,
"eval_sample_packing": true,
"eval_steps": 0.2,
"eval_table_size": 0,
"evals_per_epoch": 5,
"experimental_skip_move_to_device": true,
"flash_attention": false,
"fp16": false,
"gc_steps": 10,
"gradient_accumulation_steps": 2,
"gradient_checkpointing": false,
"group_by_length": false,
"include_tkps": true,
"learning_rate": 1e-05,
"liger_glu_activation": true,
"liger_layer_norm": true,
"liger_rms_norm": true,
"liger_rope": true,
"lisa_layers_attribute": "model.layers",
"load_best_model_at_end": false,
"load_in_4bit": false,
"load_in_8bit": false,
"local_rank": 0,
"logging_steps": 1,
"lora_alpha": 8,
"lora_dropout": 0.05,
"lora_r": 32,
"lora_target_linear": true,
"loraplus_lr_embedding": 1e-06,
"lr_scheduler": "cosine",
"max_grad_norm": 1.0,
"mean_resizing_embeddings": false,
"merge_lora": true,
"micro_batch_size": 1,
"model_config_type": "olmo3",
"num_epochs": 1.0,
"optimizer": "adamw_torch_fused",
"otel_metrics_host": "localhost",
"otel_metrics_port": 8000,
"output_dir": "ckpts-olmo-qlora/marvin",
"pad_to_sequence_len": true,
"peft_use_rslora": true,
"plugins": [
"axolotl.integrations.liger.LigerPlugin",
"axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin"
],
"pretrain_multipack_attn": true,
"profiler_steps_start": 0,
"qlora_sharded_model_loading": false,
"ray_num_workers": 1,
"resources_per_worker": {
"GPU": 1
},
"sample_packing": true,
"sample_packing_bin_size": 200,
"sample_packing_group_size": 100000,
"save_only_model": false,
"save_safetensors": true,
"save_total_limit": 2,
"saves_per_epoch": 1,
"seed": 69,
"sequence_len": 16384,
"shuffle_before_merging_datasets": false,
"shuffle_merged_datasets": true,
"skip_prepare_dataset": false,
"streaming_multipack_buffer_size": 10000,
"strict": false,
"tensor_parallel_size": 1,
"tiled_mlp_use_original_mlp": true,
"tokenizer_config": "allenai/Olmo-3.1-32B-Instruct",
"tokenizer_save_jinja_files": true,
"torch_dtype": "torch.bfloat16",
"train_on_inputs": false,
"trl": {
"log_completions": false,
"mask_truncated_completions": false,
"ref_model_mixup_alpha": 0.9,
"ref_model_sync_steps": 64,
"scale_rewards": true,
"sync_ref_model": false,
"use_vllm": false,
"vllm_server_host": "0.0.0.0",
"vllm_server_port": 8000
},
"use_otel_metrics": false,
"use_ray": false,
"use_wandb": true,
"val_set_size": 0.025,
"vllm": {
"device": "auto",
"dtype": "auto",
"gpu_memory_utilization": 0.9,
"host": "0.0.0.0",
"port": 8000
},
"wandb_name": "marvin-qlora",
"wandb_project": "Olmo3",
"warmup_ratio": 0.025,
"weight_decay": 0.01,
"world_size": 1
}
[2026-01-10 17:09:56,051] [INFO] [axolotl.cli.utils.load.load_model_and_tokenizer:40] [PID:621358] loading tokenizer... allenai/Olmo-3.1-32B-Instruct
[2026-01-10 17:09:56,690] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:280] [PID:621358] EOS: 100257 / <|endoftext|>
[2026-01-10 17:09:56,690] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:281] [PID:621358] BOS: 100257 / <|endoftext|>
[2026-01-10 17:09:56,690] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:282] [PID:621358] PAD: 100277 / <|pad|>
[2026-01-10 17:09:56,690] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:283] [PID:621358] UNK: 100257 / <|endoftext|>
[2026-01-10 17:09:56,691] [INFO] [axolotl.cli.utils.load.load_model_and_tokenizer:43] [PID:621358] loading model...
[2026-01-10 17:09:56,852] [DEBUG] [axolotl.monkeypatch.transformers.trainer_loss_calc.patch_evaluation_loop:87] [PID:621358] Patched Trainer.evaluation_loop with nanmean loss calculation
[2026-01-10 17:09:56,853] [DEBUG] [axolotl.monkeypatch.transformers.trainer_loss_calc.patch_maybe_log_save_evaluate:138] [PID:621358] Patched Trainer._maybe_log_save_evaluate with nanmean loss calculation
[2026-01-10 17:09:56,854] [INFO] [axolotl.loaders.patch_manager._apply_multipack_patches:301] [PID:621358] Applying multipack dataloader patch for sample packing...
[2026-01-10 17:09:56,932] [INFO] [axolotl.integrations.liger.plugin.pre_model_load:98] [PID:621358] Applying LIGER to olmo3 with kwargs: {'rope': True, 'cross_entropy': None, 'fused_linear_cross_entropy': None, 'rms_norm': True, 'swiglu': True}
[2026-01-10 17:09:56,997] [INFO] [axolotl.integrations.cut_cross_entropy.pre_model_load:94] [PID:621358] Applying Cut Cross Entropy to model type: olmo3
Loading checkpoint shards: 0%| | 0/14 [00:00<?, ?it/s] Loading checkpoint shards: 7%|β–ˆβ–ˆβ–ˆβ–‰ | 1/14 [00:00<00:10, 1.28it/s] Loading checkpoint shards: 14%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 2/14 [00:01<00:09, 1.28it/s] Loading checkpoint shards: 21%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 3/14 [00:02<00:08, 1.29it/s] Loading checkpoint shards: 29%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 4/14 [00:03<00:07, 1.28it/s] Loading checkpoint shards: 36%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 5/14 [00:03<00:07, 1.28it/s] Loading checkpoint shards: 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 6/14 [00:04<00:06, 1.24it/s] Loading checkpoint shards: 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 7/14 [00:05<00:05, 1.21it/s] Loading checkpoint shards: 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 8/14 [00:06<00:04, 1.20it/s] Loading checkpoint shards: 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 9/14 [00:07<00:04, 1.18it/s] Loading checkpoint shards: 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 10/14 [00:07<00:02, 1.35it/s] Loading checkpoint shards: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 14/14 [00:07<00:00, 1.78it/s]
[2026-01-10 17:10:05,622] [WARNING] [accelerate.big_modeling.dispatch_model:442] [PID:621358] Some parameters are on the meta device because they were offloaded to the cpu.
Traceback (most recent call last):
File "/home/aibox/axo/bin/axolotl", line 10, in <module>
sys.exit(main())
^^^^^^
File "/home/aibox/training/axolotl/src/axolotl/cli/main.py", line 347, in main
cli()
File "/home/aibox/axo/lib/python3.12/site-packages/click/core.py", line 1161, in __call__
return self.main(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/aibox/axo/lib/python3.12/site-packages/click/core.py", line 1082, in main
rv = self.invoke(ctx)
^^^^^^^^^^^^^^^^
File "/home/aibox/axo/lib/python3.12/site-packages/click/core.py", line 1697, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/aibox/axo/lib/python3.12/site-packages/click/core.py", line 1443, in invoke
return ctx.invoke(self.callback, **ctx.params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/aibox/axo/lib/python3.12/site-packages/click/core.py", line 788, in invoke
return __callback(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/aibox/training/axolotl/src/axolotl/cli/utils/args.py", line 47, in wrapper
return func(*args, **filtered_kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/aibox/training/axolotl/src/axolotl/cli/main.py", line 293, in merge_lora
do_cli(config=config, **kwargs)
File "/home/aibox/training/axolotl/src/axolotl/cli/merge_lora.py", line 91, in do_cli
do_merge_lora(cfg=parsed_cfg)
File "/home/aibox/training/axolotl/src/axolotl/telemetry/errors.py", line 127, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/home/aibox/training/axolotl/src/axolotl/cli/merge_lora.py", line 26, in do_merge_lora
model, tokenizer, processor = load_model_and_tokenizer(cfg=cfg)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/aibox/training/axolotl/src/axolotl/cli/utils/load.py", line 45, in load_model_and_tokenizer
model, _ = model_loader.load()
^^^^^^^^^^^^^^^^^^^
File "/home/aibox/training/axolotl/src/axolotl/telemetry/errors.py", line 127, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/home/aibox/training/axolotl/src/axolotl/loaders/model.py", line 180, in load
self._apply_post_model_load_setup()
File "/home/aibox/training/axolotl/src/axolotl/loaders/model.py", line 232, in _apply_post_model_load_setup
self._configure_embedding_dtypes()
File "/home/aibox/training/axolotl/src/axolotl/loaders/model.py", line 308, in _configure_embedding_dtypes
self._convert_embedding_modules_dtype(
File "/home/aibox/training/axolotl/src/axolotl/loaders/model.py", line 877, in _convert_embedding_modules_dtype
module.to(**dest)
File "/home/aibox/axo/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1371, in to
return self._apply(convert)
^^^^^^^^^^^^^^^^^^^^
File "/home/aibox/axo/lib/python3.12/site-packages/torch/nn/modules/module.py", line 957, in _apply
param_applied = fn(param)
^^^^^^^^^
File "/home/aibox/axo/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1357, in convert
return t.to(
^^^^^
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.91 GiB. GPU 0 has a total capacity of 23.57 GiB of which 1.46 GiB is free. Including non-PyTorch memory, this process has 22.10 GiB memory in use. Of the allocated memory 21.85 GiB is allocated by PyTorch, and 10.00 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)