HRM 1B
Mirrored from r/LocalLLaMA for archival readability. Support the source by reading on the original site.
| HRM 1B Base model (not Instruct). The authors have released the training code in their Github (https://github.com/sapientinc/HRM-Text) and claim some wild things in their paper (https://arxiv.org/pdf/2605.20613): - "Despite utilizing roughly 100-900x fewer training tokens and 96-432x less estimated compute than standard baselines, HRM-Text performs competitively with 2–7B parameter open models." - The 1B model can be trained in 16 H100s (x2 nodes) in about 46 hours with ~$1472). From a quick look, training seems as a combination of pretraining and instruction tuning, so the model can be prompted to function a bit like a chatbot. I believe it would be very interesting to see how the model would function after undergoing SFT+RL. TBH, I don't quite understand the limitations of this particular architecture. [link] [comments] |
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