Yesterday
-
Update Kaggle Dual T4 runner with DDP 4x32 batch sizing
-
Add DDP barrier after evaluate for Kaggle Dual T4 multi-GPU
-
Restore exact overnight settings: 16x16 with USE_CHECKPOINT=1 and auto gcc compile detection
-
Restore exact overnight settings: 16x16 with USE_CHECKPOINT=True
-
Turbo Speed Config: USE_CHECKPOINT=0, MICRO_BATCH=8, GRAD_ACCUM=32
-
Speed optimization: ce_chunk=1024, disable checkpointing on 32GB GPUs
-
Speed optimization: ce_chunk=1024, disable checkpointing on 32GB GPUs
-
Update RTX 5090 runner to copy fresh files into ./working/code/ as well
-
Fix device not ready: optimize CE loss, disable z_loss, and stabilize prefetcher
-
Fix device not ready: optimize CE loss, disable z_loss, and stabilize prefetcher
-
Fix device not ready: optimize CE loss, disable z_loss, and stabilize prefetcher
-
Set USE_COMPILE=0 in RTX 5090 runner to bypass Triton gcc dependency
-
Add graceful fallback for torch.compile when gcc is missing
-
Update RTX 5090 Blackwell runner with 2-step setup instructions
-
Fix sm_120 compatibility & unwrap model on single GPU
-
Upload runners/RTX_5090_BLACKWELL_PRETRAIN.txt with huggingface_hub
-
Upload runners/NVIDIA_H200_TITAN_PRETRAIN.txt with huggingface_hub
-
Upload checkpoints/ckpt_latest.pt with huggingface_hub
-
Upload checkpoints/ckpt_latest.pt with huggingface_hub
-
Upload checkpoints/ckpt_latest.pt with huggingface_hub
2 days ago
-
Upload checkpoints/ckpt_latest.pt with huggingface_hub
-
Upload checkpoints/ckpt_latest.pt with huggingface_hub
-
Upload checkpoints/ckpt_latest.pt with huggingface_hub
-
Upload checkpoints/ckpt_latest.pt with huggingface_hub
-
Upload checkpoints/ckpt_latest.pt with huggingface_hub
-
Upload checkpoints/ckpt_latest.pt with huggingface_hub
-
Upload checkpoints/ckpt_latest.pt with huggingface_hub
-
Upload runners/RTX_5090_BLACKWELL_PRETRAIN.txt with huggingface_hub
-
Upload runners/RTX_5090_BLACKWELL_PRETRAIN.txt with huggingface_hub
-
Upload CLOUD_GPU_CREDENTIALS_AND_SSH.md with huggingface_hub
-
Upload runners/RTX_5090_BLACKWELL_PRETRAIN.txt with huggingface_hub
-
Upload code/train.py with huggingface_hub
-
Upload runners/RTX_5090_BLACKWELL_PRETRAIN.txt with huggingface_hub
-
Upload code/train.py with huggingface_hub
-
Upload runners/RTX_5090_BLACKWELL_PRETRAIN.txt with huggingface_hub
-
Upload code/train.py with huggingface_hub
-
Upload runners/NVIDIA_H200_TITAN_PRETRAIN.txt with huggingface_hub
-
Upload code/train.py with huggingface_hub
-
Upload runners/RTX_5090_BLACKWELL_PRETRAIN.txt with huggingface_hub
-
Upload code/train.py with huggingface_hub
-
Upload runners/RTX_5090_BLACKWELL_PRETRAIN.txt with huggingface_hub
-
Upload checkpoints/ckpt_latest.pt with huggingface_hub
3 days ago
-
Add dedicated RTX 4090 turbo training runner
-
Update Rental GPU Jupyter Notebook runner with auto-detect VRAM
-
Add permanent Rental GPU Jupyter Notebook Playbook
-
Add advanced XLA MXU hardware flags and vectorized prefetching for TPU v5e-8
-
Add async CUDA prefetcher and vectorized batching for max GPU throughput
-
Add Kaggle TPU v5e-8 continuation training runner
-
Add TPU v5e-8 8-core distributed training script
-
Enable true hardware FP16 Tensor Cores for Turing/T4 (compute_cap < 8)