Hemispheres: step-1 checkpoints
Weights for the step-1 synthetic-world runs of Hemispheres, a language model that keeps its knowledge in a separate, editable store and reads it inside the forward pass. Each run directory holds config.json (every training flag, seed and model shape) and MLX safetensors checkpoints.
The run records (metrics, per-question evaluation outputs, data fingerprints), the comparison report and the code to load and evaluate these weights are in the project repository, under results/step1/.
| run | arm | params | checkpoints | sha256 |
|---|---|---|---|---|
context-a |
context | 25.5M | final, latest |
ae48aaa6bc50 |
context-multi-bios |
context | 25.5M | final, latest |
8d97615b89a9 |
context-multi-bios-20k |
context | 25.5M | final, latest |
11424cc903c9 |
context-multi-bios-20k-s1 |
context | 25.5M | final, latest |
4e9410c97d16 |
dense-a |
dense | 25.5M | final, latest |
81e8eb4ac912 |
dense-a-k100 |
dense | 25.5M | final, latest |
c2535e281e08 |
dense-a-to-b |
dense | 25.5M | final, latest |
17c630e69033 |
latent-a |
latent | 29.2M | final, latest |
f4f3b1fbe96a |
latent-a-all |
latent | 29.2M | final, latest |
57dc7d12714c |
latent-multi |
latent | 29.2M | final, latest |
1b2490e51d93 |
latent-multi-nohop |
latent | 29.2M | latest |
dc2494c38336 |
lookup-a |
lookup | 25.5M | final, latest |
e06385a28712 |
pip install -e '.[hub]'
python -m hemispheres.records fetch latent-multi # into runs/latent-multi/, sha256-checked
python -m hemispheres.synth.build --name world-b --index 1 --edits 1,100,1000
python -m hemispheres.evaluate --run runs/latent-multi --data data/world-b --sets all --n 300
Models are 25.5M (dense, lookup, context) or 29.2M (latent) parameters, fp32, trained from scratch on generated worlds. They are research artifacts for the synthetic task, not general-purpose language models.
Released under the MIT license (see LICENSE).