Tag
MiniCPM5-1B-Claude-Opus-Fable5-Thinking is a compact 1B thinking language model fine-tuned from openbmb/MiniCPM5-1B on Fable 5 data, enhancing coding and instruction-following while retaining the native thinking chat template and tool-call format. It supports up to 128K context and is suitable for local deployment.
HRM-Text released a 1B-parameter base model, claiming it can be pretrained from scratch for only ~$1000, reducing compute and data volume by hundreds of times. It employs efficient techniques such as hierarchical recursive architecture, latent space reasoning, and PrefixLM packing. The paper and code are open-sourced.