Architecture: LlamaForCausalLM
Base model size: 1.7B
Precision on disk: bfloat16
Source Megatron checkpoint: iter_0050863
Tokenizer: extended SmolLM2 tokenizer with 36 additional special tokens (<assistant> + 35 <charter_X.Y> tokens)
Config vocab size: 49280 padded rows
Tokenizer length: 49188

Variant

This is the 1p EPE variant trained without BCE constitution-prediction loss.

Chat Templates

Two named chat templates are provided:

Name	Use case
`default`	Standard chat format with the plain `assistant` role
`epe`	Uses `<assistant>` at the start of assistant turns

python

tok.apply_chat_template(messages, chat_template="default")
tok.apply_chat_template(messages, chat_template="epe")

Always use the bundled tokenizer; the original SmolLM2 tokenizer has only 49152 tokens and will not cover the EPE special tokens.