 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)
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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 |
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Christian Medina
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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
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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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Christian Medina
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6f631f00ae
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fix: use FP8 model with 32GB CPU offload
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2026-07-01 07:29:32 -04:00 |
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Christian Medina
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9d92531c55
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fix: use Ornith-1.0-35B bf16 base model (PEFT compatible)
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2026-07-01 07:28:21 -04:00 |
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Christian Medina
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05ace2d38f
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fix: load NVFP4 as bf16 by overriding quantization config
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2026-07-01 07:27:13 -04:00 |
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Christian Medina
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be7b589c6b
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fix: use BitsAndBytes INT4 for PEFT compatibility
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2026-07-01 00:34:34 -04:00 |
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Christian Medina
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d7301d37dd
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fix: use float16 dtype to preserve NVFP4 quantization
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2026-07-01 00:08:42 -04:00 |
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Christian Medina
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af09d47c6f
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fix: load model to CPU first, let DeepSpeed distribute
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2026-07-01 00:03:24 -04:00 |
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Christian Medina
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2c1251788d
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fix: add compressed-tensors to training dependencies
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2026-06-30 23:56:59 -04:00 |
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Christian Medina
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905c2ba30d
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fix: preserve NVFP4 quantization, don't force bf16
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2026-06-30 23:50:27 -04:00 |
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Christian Medina
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114e25fcfb
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fix: use device_map=auto to distribute model across GPUs
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2026-06-30 23:45:57 -04:00 |
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Christian Medina
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8d4cdca3bb
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feat: use Ornith-1.0-35B-NVFP4 for training
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2026-06-30 23:34:33 -04:00 |
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Christian Medina
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5713bf0285
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fix: add CPU offload back to DeepSpeed ZeRO-3
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2026-06-30 22:47:19 -04:00 |
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Christian Medina
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3bb7328e2a
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fix: disable quantization config for fp8 model training
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2026-06-30 22:41:28 -04:00 |
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Christian Medina
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a8c9cd682e
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fix: simplify DeepSpeed config, remove offload settings
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2026-06-30 22:36:49 -04:00 |
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Christian Medina
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b760ba09e7
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fix: use CUDA 13.0 nightly for RTX 5090 support
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2026-06-30 22:32:14 -04:00 |
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Christian Medina
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9cbf6549e5
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fix: use output_file parameter in prepare_dataset
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2026-06-30 21:54:05 -04:00 |
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Christian Medina
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ed0b1eddf8
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fix: use messages format for SFTTrainer (system/user/assistant)
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2026-06-30 21:05:48 -04:00 |
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Christian Medina
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d8ad31fd03
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fix: remove max_seq_length from SFTTrainer (newer TRL API)
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2026-06-30 20:59:24 -04:00 |
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Christian Medina
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8ad87f0e7e
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fix: remove dataset_text_field (dataset pre-formatted)
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2026-06-30 20:48:07 -04:00 |
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Christian Medina
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6bd6662f5f
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docs: rename config and docs to reflect Ornith-35B model
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2026-06-30 20:41:53 -04:00 |
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Christian Medina
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6f31fa0197
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feat: add --check-only flag to validate setup without training
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2026-06-30 20:39:29 -04:00 |
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Christian Medina
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83ba987840
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fix: tokenizer -> processing_class SFTTrainer API change
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2026-06-30 20:38:31 -04:00 |
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Christian Medina
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9d5d4eebc7
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fix: mixed_precision -> bf16/api change
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2026-06-30 20:34:05 -04:00 |
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Christian Medina
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9280103260
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fix: evaluation_strategy -> eval_strategy API change
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2026-06-30 20:29:03 -04:00 |
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Christian Medina
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50fa171f68
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fix: use local model path instead of HuggingFace download
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2026-06-30 20:24:44 -04:00 |
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Christian Medina
|
7f7467ef89
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fix: remove max_seq_length from TrainingArguments (passed to SFTTrainer)
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2026-06-30 20:17:04 -04:00 |
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