 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)
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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
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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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Christian Medina
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7181acc580
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fix: save train/test.jsonl to output_dir not parent
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2026-06-30 20:01:05 -04:00 |
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Christian Medina
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d5ba471b98
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fix: auto-split dataset if split files missing
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2026-06-30 19:54:50 -04:00 |
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Christian Medina
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bbdbe91871
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fix: fix dataset path calculation
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2026-06-30 19:01:39 -04:00 |
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Christian Medina
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14a302dc5e
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fix: make scripts executable
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2026-06-30 18:49:39 -04:00 |
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Christian Medina
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97004261f5
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fix: multiple bug fixes - remove unused imports, fix typo, fix dataset paths, add ai command fallback
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2026-06-30 18:48:46 -04:00 |
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Christian Medina
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75aeeeb20a
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fix: use torchrun for distributed training, load model on CPU
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2026-06-30 18:45:14 -04:00 |
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Christian Medina
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5ad5518ca6
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fix: add deepspeed to auto-install dependencies
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2026-06-30 18:30:23 -04:00 |
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Christian Medina
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4f2f8ef03f
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feat: use DeepSpeed ZeRO-3 for optimal 2-GPU training
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2026-06-30 18:26:48 -04:00 |
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Christian Medina
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a04bf4a9cf
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feat: add run_with_accelerate.sh helper script
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2026-06-30 18:26:08 -04:00 |
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Christian Medina
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cd58ffd31e
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fix: use FSDP for 2-GPU training, reduce batch size
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2026-06-30 18:23:34 -04:00 |
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Christian Medina
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3d87f0b8b3
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fix: force reinstall PyTorch to resolve version conflicts
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2026-06-30 17:58:52 -04:00 |
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Christian Medina
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ef42e67183
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fix: use CompressedTensors for Ornith, add torch import, expand LoRA targets
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2026-06-30 17:54:35 -04:00 |
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Christian Medina
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7e8ddabf03
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fix: remove dataset download, it's already in repo
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2026-06-30 17:11:29 -04:00 |
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Christian Medina
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28d0a956fd
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fix: update PyTorch to cu124 for RTX 5090, fix total_memory typo
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2026-06-30 16:58:11 -04:00 |
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Christian Medina
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1786830d84
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feat: unload AI model before training
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2026-06-30 16:00:17 -04:00 |
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Christian Medina
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2074d3d993
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feat: use Ornith-1.0-35B-FP8 with multi-GPU support
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2026-06-30 15:57:54 -04:00 |
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Christian Medina
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215886d6a7
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fix: use $HOME/loras by default
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2026-06-30 15:51:28 -04:00 |
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Christian Medina
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11951a8276
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feat: add deploy-agenx-lora.sh to repo
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2026-06-30 15:38:05 -04:00 |
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Christian Medina
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39a493f261
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fix: remove deploy-agenx-lora.sh from repo
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2026-06-30 15:35:42 -04:00 |
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Christian Medina
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11653ed743
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feat: add simple deploy-agenx-lora.sh script
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2026-06-30 15:31:13 -04:00 |
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Christian Medina
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44939e374b
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refactor: simplify deploy script, add train-on-this-server.sh
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2026-06-30 15:22:54 -04:00 |
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Christian Medina
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0614166c7a
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fix: use remote Gitea directly, remove local fallback
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2026-06-30 15:20:03 -04:00 |
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Christian Medina
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6946ebac1a
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feat: use local Gitea when available, fallback to remote
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2026-06-30 15:15:51 -04:00 |
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Christian Medina
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8e51c39c6e
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fix: remove large dataset from git tracking, add to .gitignore
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2026-06-30 15:06:13 -04:00 |
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Christian Medina
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e1b80301d8
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refactor: update deploy script to match cyron pattern
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2026-06-30 15:03:40 -04:00 |
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Christian Medina
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3d2ae812a7
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feat: add deploy-and-train.sh script for server deployment
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2026-06-30 15:02:13 -04:00 |
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Christian Medina
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418a4cc76d
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init: add LoRA training infrastructure and 20k dataset
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2026-06-30 14:49:44 -04:00 |
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