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cmedina
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2026-05-22
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cmedina
pushed to
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cmedina/agenx-lora-training
2026-07-01 14:43:33 -04:00
22d1bfd573
fix: use 4-bit model first, then bf16 with CPU offload
cmedina
pushed to
main
at
cmedina/agenx-lora-training
2026-07-01 14:41:50 -04:00
3fa2cfe4cc
fix: use DeepSpeed ZeRO-3 directly (skip CPU loading)
cmedina
pushed to
main
at
cmedina/agenx-lora-training
2026-07-01 14:19:44 -04:00
3760aaf316
fix: rename output dir to ornith-35b-lora
cmedina
pushed to
main
at
cmedina/agenx-lora-training
2026-07-01 14:16:07 -04:00
4287e42148
fix: remove screen, run training directly
cmedina
pushed to
main
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cmedina/agenx-lora-training
2026-07-01 14:09:35 -04:00
3bd51ec7db
feat: add screen support to bypass cgroup limits
cmedina
pushed to
main
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cmedina/agenx-lora-training
2026-07-01 14:00:42 -04:00
ce758f7eb5
feat: improve loading strategies with low_cpu_mem_usage and proper DeepSpeed config
cmedina
pushed to
main
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cmedina/agenx-lora-training
2026-07-01 13:55:25 -04:00
2d13e63c25
feat: add 4 loading strategies with automatic fallback
cmedina
pushed to
main
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cmedina/agenx-lora-training
2026-07-01 13:53:44 -04:00
b300235be0
fix: load 4-bit model AS-IS without additional quantization
cmedina
pushed to
main
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cmedina/agenx-lora-training
2026-07-01 13:53:08 -04:00
e967bd74f1
fix: skip quantization, use DeepSpeed ZeRO-3 CPU offload directly
cmedina
pushed to
main
at
cmedina/agenx-lora-training
2026-07-01 13:39:53 -04:00
7539e39a93
fix: use accelerate load_checkpoint_and_dispatch for proper CPU offload
cmedina
pushed to
main
at
cmedina/agenx-lora-training
2026-07-01 13:32:06 -04:00
528e7002ef
feat: add 8-bit CPU offload fallback between 4-bit and bf16
cmedina
pushed to
main
at
cmedina/agenx-lora-training
2026-07-01 13:29:24 -04:00
59ddfb45ed
feat: add fallback to bf16 with CPU offload if 4-bit fails
cmedina
pushed to
main
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cmedina/agenx-lora-training
2026-07-01 13:12:59 -04:00
b41d99f956
fix: remove broken quantization_config before loading
cmedina
pushed to
main
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cmedina/agenx-lora-training
2026-07-01 13:11:16 -04:00
1228a1f38b
fix: load model first then quantize with BnB
cmedina
pushed to
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cmedina/agenx-lora-training
2026-07-01 12:35:22 -04:00
14042dbb44
fix: use pre-quantized 4bit model
cmedina
pushed to
main
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cmedina/agenx-lora-training
2026-07-01 12:33:23 -04:00
f784d06f0a
fix: load QLoRA directly to GPU (skip CPU)
cmedina
pushed to
main
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cmedina/agenx-lora-training
2026-07-01 11:19:02 -04:00
9471d5cc77
fix: cast learning_rate to float (YAML parses 2e-4 as string)
cmedina
pushed to
main
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cmedina/agenx-lora-training
2026-07-01 09:37:22 -04:00
2fa52cd9d4
fix: load QLoRA model to CPU first, DeepSpeed distributes
cmedina
pushed to
main
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cmedina/agenx-lora-training
2026-07-01 07:48:45 -04:00
2fa5173c56
feat: add prepare_model_for_kbit_training and update LoRA r=64 alpha=128
cmedina
pushed to
main
at
cmedina/agenx-lora-training
2026-07-01 07:47:44 -04:00
357c9fa781
fix: use standard QLoRA pattern with BitsAndBytesConfig
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