hrm-rec-strict

HRM-rec (hierarchical weight-shared recurrent LM) for the BabyLM 2026 strict track. Final checkpoint on main (chck_1000M); intermediate checkpoints (if present) on chck_<N>M branches. Custom model — load with trust_remote_code=True.

from transformers import AutoModelForCausalLM, AutoTokenizer
m = AutoModelForCausalLM.from_pretrained("PatrickHaller/hrm-rec-strict", trust_remote_code=True)
t = AutoTokenizer.from_pretrained("PatrickHaller/hrm-rec-strict")
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0.1B params
Tensor type
F32
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