OpenPeerLLM Demo
OpenPeerAI/OpenPeerLLM is a decentralised-training language model
by Andrew Magdy Kamal Nassief (DOI 10.57967/hf/6469). This space loads its
published model.safetensors (163M parameters) into a faithful reimplementation of its
architecture, with the causal attention mask the reference forward pass omits. 197 tensors loaded from OpenPeerAI/OpenPeerLLM, 0 missing, 0 unexpected.
OpenPeerLLM is the starting rung of the My Name is Riemann growth ladder. Every tab lets you put the 13.1B Prerelease next to it on the same input, so the effect of six rungs of growth and training is visible directly. Both are base models: they complete and score text, they do not chat.
Two short example articles are prepended so the model knows the register.
| Subject | Opening clause |
|---|
Each token is coloured by how surprised the model was to see it; green is expected, red is surprising.
Six fixed strings from fluent English down to random words, scored by perplexity.
OpenPeerLLM is released under OPNL, MIT and CC BY 4.0. Maintained by OpenPeer AI.