skill detail
← registryNanogpt Training
benchflow-ai/nanogpt-training
Train GPT-2 scale models (~124M parameters) efficiently on a single GPU. Covers GPT-124M architecture, tokenized dataset loading (e.g., HuggingFace Hub shards), modern optimizers (Muon, AdamW), mixed precision training, and training loop implementation.
skillrank score
43
SkillRank score blends community stars, real usage, and our eval lift; provisional until a skill is evaluated -- so popularity alone can't reach the top tier.
source
★ 1.7k
benchflow-ai/skillsbench
tasks-extra/mhc-layer-impl/environment/skills/nanogpt-training
open on GitHub ▸eval status
eval pending
Success delta, token delta, and trial count are not available yet. No eval number is shown until this skill has measured results.
install
$ skillrank install benchflow-ai/nanogpt-training$ curl -fsSL skillrank.dev | sh