Downloads · 30 days
0
Surya4/anlp-assignment-1
anlp-assignment-1 is a text generation model from Surya4. Use it when you need the model to write or continue text. It is set up for pytorch. The card lists the license as mit.
Ablation-study checkpoints produced by src/train.py. Implementation (see src/): attention, positional encodings, norms and the BLT modules are written from scratch, as is the byte-level BPE tokenizer (bpe.json caches…
Downloads · 30 days
0
Access
Public
Updated Sep 3, 2026
Repo size
134 MB
Likes
0
Public
Click a slice to open those files.
.pt134 MB · 100%
From the Hugging Face model README
Ablation-study checkpoints produced by src/train.py. Implementation (see
src/): attention, positional encodings, norms and the BLT modules are
written from scratch, as is the byte-level BPE tokenizer (bpe_*.json caches
are the full tokenizer state). Each .pt is a bare state_dict matching the
constructors in src/models/.
| config | bit_accuracy | sequence_accuracy | levenshtein | bleu | params |
|---|---|---|---|---|---|
| C1 | 0.9668 | 0.6560 | 0.6820 | 0.9688 | 6048256 |
| C2 | 0.5520 | 0.0000 | 31.3370 | 0.2849 | 6048256 |
| C3 | 0.9120 | 0.3870 | 2.1490 | 0.8967 | 5163520 |
| C4 | 0.9644 | 0.6300 | 0.7135 | 0.9663 | 6043136 |
| C5 | 0.9996 | 0.9600 | 0.0455 | 9407236 |
| checkpoint | size | date |
|---|---|---|
| C1.pt | 24.8 MB | 2026-09-02 17:49 |
| C2.pt | 24.8 MB | 2026-09-02 18:06 |
| C3.pt | 21.2 MB | 2026-09-02 18:23 |
| C4.pt | 24.7 MB | 2026-09-02 18:40 |
| C5.pt | 38.4 MB | 2026-09-02 18:52 |