Christian Medina
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8a5edb25e0
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fix: specify correct transformer layer class for FSDP auto-wrap
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2026-07-01 23:45:05 -04:00 |
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Christian Medina
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05cbd7b6b2
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show layer class names
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2026-07-01 23:27:25 -04:00 |
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Christian Medina
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e64515e3ca
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refactor: switch from DeepSpeed ZeRO-3 to FSDP for QLoRA compatibility
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2026-07-01 22:33:06 -04:00 |
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Christian Medina
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a655040db2
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feat: use DeepSpeed ZeRO-3 for proper model sharding across GPUs
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2026-07-01 22:08:37 -04:00 |
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Christian Medina
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9d8c2b6cf0
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refactor: cleaner loading strategies with error tracking
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2026-07-01 21:38:38 -04:00 |
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Christian Medina
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815115e97a
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feat: add BnB 4-bit quantization strategy + use bf16 model
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2026-07-01 21:14:31 -04:00 |
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Christian Medina
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e56ae5e002
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fix: restore all strategies with CPU-first as primary
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2026-07-01 18:16:51 -04:00 |
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Christian Medina
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f18a9f0973
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fix: use aggressive CPU loading for memory optimization
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2026-07-01 18:00:55 -04:00 |
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Christian Medina
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83b45c2a5c
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feat: add PYTORCH_CUDA_ALLOC_CONF for memory optimization
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2026-07-01 17:01:28 -04:00 |
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Christian Medina
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19f405255c
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remove auto device map in training strategies
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2026-07-01 16:50:48 -04:00 |
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Christian Medina
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cc353b3dea
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refactor: restructure project - scripts at root level
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2026-07-01 16:39:54 -04:00 |
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Christian Medina
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293f9caf65
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fix: use correct repo_root path for dataset files
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2026-07-01 16:35:47 -04:00 |
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Christian Medina
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1095032801
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feat: add ai none to unload AI model before training
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2026-07-01 16:24:30 -04:00 |
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Christian Medina
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79aa1e4061
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fix: don't reinstall PyTorch (already installed)
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2026-07-01 16:22:55 -04:00 |
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Christian Medina
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3b771c0db5
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fix: add venv setup and proper pip install
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2026-07-01 16:22:09 -04:00 |
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Christian Medina
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ff0d6e8736
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fix: use correct path for training script
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2026-07-01 16:21:47 -04:00 |
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Christian Medina
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5eae235180
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executable permissions
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2026-07-01 16:06:52 -04:00 |
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Christian Medina
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7e13680e27
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additional fixes
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2026-07-01 16:05:52 -04:00 |
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Christian Medina
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088521094e
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feat: add 4 loading strategies (no BnB for already-quantized model)
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2026-07-01 15:57:42 -04:00 |
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Christian Medina
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3089f27901
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fix: load 4-bit model AS-IS without BnB (already quantized)
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2026-07-01 15:56:00 -04:00 |
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Christian Medina
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1197235b4d
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fix: skip prepare_model_for_kbit_training to avoid OOM
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2026-07-01 15:18:48 -04:00 |
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Christian Medina
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d9fd079686
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fix: add accelerate CPU offload to bf16 strategies
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2026-07-01 15:14:00 -04:00 |
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Christian Medina
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4ed80ad3a3
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feat: restore all 6 loading strategies
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2026-07-01 15:11:45 -04:00 |
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Christian Medina
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313b44381f
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fix: remove DeepSpeed, use torchrun without distributed training
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2026-07-01 15:10:54 -04:00 |
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Christian Medina
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7de54746a2
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feat: add 6 loading variants with different offload strategies
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2026-07-01 14:45:29 -04:00 |
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Christian Medina
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22d1bfd573
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fix: use 4-bit model first, then bf16 with CPU offload
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2026-07-01 14:43:30 -04:00 |
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Christian Medina
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3fa2cfe4cc
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fix: use DeepSpeed ZeRO-3 directly (skip CPU loading)
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2026-07-01 14:41:48 -04:00 |
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Christian Medina
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3760aaf316
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fix: rename output dir to ornith-35b-lora
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2026-07-01 14:19:43 -04:00 |
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Christian Medina
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4287e42148
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fix: remove screen, run training directly
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2026-07-01 14:16:05 -04:00 |
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Christian Medina
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3bd51ec7db
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feat: add screen support to bypass cgroup limits
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2026-07-01 14:09:34 -04:00 |
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Christian Medina
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ce758f7eb5
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feat: improve loading strategies with low_cpu_mem_usage and proper DeepSpeed config
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2026-07-01 14:00:41 -04:00 |
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Christian Medina
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2d13e63c25
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feat: add 4 loading strategies with automatic fallback
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2026-07-01 13:55:23 -04:00 |
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Christian Medina
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b300235be0
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fix: load 4-bit model AS-IS without additional quantization
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2026-07-01 13:53:43 -04:00 |
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Christian Medina
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e967bd74f1
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fix: skip quantization, use DeepSpeed ZeRO-3 CPU offload directly
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2026-07-01 13:53:06 -04:00 |
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Christian Medina
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7539e39a93
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fix: use accelerate load_checkpoint_and_dispatch for proper CPU offload
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2026-07-01 13:39:51 -04:00 |
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Christian Medina
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528e7002ef
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feat: add 8-bit CPU offload fallback between 4-bit and bf16
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2026-07-01 13:32:04 -04:00 |
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Christian Medina
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59ddfb45ed
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feat: add fallback to bf16 with CPU offload if 4-bit fails
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2026-07-01 13:29:23 -04:00 |
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Christian Medina
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b41d99f956
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fix: remove broken quantization_config before loading
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2026-07-01 13:12:57 -04:00 |
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Christian Medina
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1228a1f38b
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fix: load model first then quantize with BnB
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2026-07-01 13:11:14 -04:00 |
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Christian Medina
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14042dbb44
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fix: use pre-quantized 4bit model
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2026-07-01 12:35:19 -04:00 |
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Christian Medina
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f784d06f0a
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fix: load QLoRA directly to GPU (skip CPU)
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2026-07-01 12:33:21 -04:00 |
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Christian Medina
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9471d5cc77
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fix: cast learning_rate to float (YAML parses 2e-4 as string)
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2026-07-01 11:19:00 -04:00 |
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Christian Medina
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2fa52cd9d4
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fix: load QLoRA model to CPU first, DeepSpeed distributes
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2026-07-01 09:37:20 -04:00 |
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Christian Medina
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2fa5173c56
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feat: add prepare_model_for_kbit_training and update LoRA r=64 alpha=128
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2026-07-01 07:48:44 -04:00 |
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Christian Medina
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357c9fa781
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fix: use standard QLoRA pattern with BitsAndBytesConfig
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2026-07-01 07:47:42 -04:00 |
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Christian Medina
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da5eb3abed
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feat: implement QLoRA with 4-bit BitsAndBytes quantization
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2026-07-01 07:45:33 -04:00 |
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Christian Medina
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f0ee6bc9a2
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fix: torch_dtype -> dtype (fix deprecation warning)
|
2026-07-01 07:38:36 -04:00 |
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Christian Medina
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f651ca030c
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fix: convert warmup_ratio to warmup_steps (fix deprecation warning)
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2026-07-01 07:37:47 -04:00 |
|
Christian Medina
|
f47944ee75
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fix: remove quantization_config after loading to bypass SFTTrainer check
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2026-07-01 07:36:38 -04:00 |
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Christian Medina
|
86b401c12f
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fix: convert FP8 to bf16 for PEFT compatibility
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2026-07-01 07:30:10 -04:00 |
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