This model was asked to be published under my account, not the creators. The compute came from
https://huggingface.co/posts/ProCreations/855858308074329Boopit 1
A 27.3M-parameter language model with a 4096 context window and native BitNet b1.58 ternary weights (weights in {-1, 0, 1} from step 0).
This release contains the best held-out-loss checkpoint from pretraining on
openbmb/Ultra-FineWeb-L1:
- Selected checkpoint: step 3,400
- Tokens seen by this checkpoint: 891,289,600
- Validation loss: 4.480278
Training continued beyond this checkpoint, but later checkpoints did not improve held-out loss, so this best checkpoint was preserved and selected for release. The packed weights (model.boopit) are under 7 MB.
Architecture: 6 layers, width 512, 8 attention heads, tied embeddings, RMSNorm, GELU MLP, and a byte-level 16,384-token BPE vocabulary.
