ETM-Backbone (attention-free ETM+SSM causal LM)

• Stage: pretrain | Checkpoint: step_100000 | val_ppl: 7.4864104236873255
• Arch: attention-free (dilated causal conv ETM + Mamba-style SSM), no positional embeddings -> context-length unbounded.
• Files: model.pt (raw PyTorch state_dict), tokenizer.json (HF tokenizers, ChatML specials for SFT).
• Custom architecture - load with the repo's ETMSSMLangModel (not AutoModel). vocab/d_model/layers auto-detected from state_dict.