Downloads · 30 days
174
12% of all-time downloads
kepton0117/chrono-2021-sn38
chrono-2021-sn38 is a text generation model from kepton0117. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.
Continue-pretrained sn38-nanochrono (~2.02B) for Bittensor subnet 38, cutoff 2021-12-31.
Downloads · 30 days
174
12% of all-time downloads
All-time downloads
1.5K
Public
Parameters
2B
4 GB on disk
Likes
1
Public
Click a slice to open those files.
.safetensors4 GB · 100%
From the Hugging Face model README
Continue-pretrained sn38-nanochrono (~2.02B) for Bittensor subnet 38, cutoff 2021-12-31.
f62e238265e3ca4a4ed20b300475513446d9e1fc = train step-4000anacoluthe89/chrono-2020 @ 633eb832c3de8eceb0b5bba1c5fb94faa8e777c6 (UID 131)kepton0117/sn38-train-2021recipe/ in this repo is the train algorithm and launch scripts that produced the pin.
Full-parameter causal LM continue-pretrain (CPT). Not LoRA. Not instruction SFT.
loss = cross_entropy(model(tokens[:-1]), tokens[1:])
| Piece | Value |
|---|---|
| Arch | sn38-nanochrono, 28 layers, hidden 1792, seq 2048 |
| Update | all parameters |
| Replay | 15% FineWeb 2017–2020 |
| Packing | docs concatenated, cut every 2048 tokens, EOS between docs |
| Optimizer | AdamW, weight decay 0.1, betas (0.9, 0.95) |
| Schedule | cosine decay, 3% warmup |
| Parallel | 8× H200 DDP |
| Knob | Value |
|---|---|
| GPUs | 8× H200 |
| Micro-batch / GPU | 16 |
| Grad accum | 2 |
| Tokens / step | 8 × 16 × 2048 × 2 = 524,288 |
| LR | 1e-3 (1e-4 / 3e-4 left cosine stuck at ~0.999) |
| Checkpoint | step-4000 |
| Data | FineWeb last-4 2021 dumps (60%) + older FineWeb (15%) + brimmann2/enwiki-dec2021 (25%) |
| Filter | drop short / nav / repetitive docs (~12.5%) |
| Packed tokens | 2,610,770 × 2048 ≈ 5.35B |
# needs sn38.architectures from the GitHub repo
LR=1e-3 bash scripts/run_train_h200x8_2021.sh
Do not use FineWeb name='default' or Wikipedia 20220301.en — those leak 2022+.
| Path | What |
|---|---|
model.safetensors | step-4000 weights |
config.json | nanochrono config |
recipe/ | launcher, trainer, data build, filter |