v0.5.1: Phase 0.5b: bf16 mixed precision + live monitoring
Before SN40's registration: Published before the subnet now on SN40 was registered: it may concern an earlier subnet on that netuid, so it is not listed as news of the subnet there now.
bf16 vs fp32 on H100 PCIe (254M params, 262M tokens, seed 1337): fp32: loss=3.8173, 16,882 tok/s, 259 min bf16: loss=3.8163, 63,361 tok/s, 69 min → 3.8x speedup, same quality New features: bf16 autocast (use_bf16=True default on CUDA) wandb --wandb flag for live training charts wandb metrics auto-export (wandb_metrics.json in proof bundles) Streamlit dashboard with auto-refresh + live loss curve HuggingFace Hub upload/download for proof bundles Launch tweet drafts
Read the release notes on GitHub ↗
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