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kshitijthakkar/deepseek-v4-mini-300M-cpt-fineweb
deepseek-v4-mini-300M-cpt-fineweb is a text generation model from kshitijthakkar. Use it when you need the model to write or continue text. The card lists the license as mit.
Experimental / research artifact — not a usable model. Broad-data CPT of deepseek-v4-mini-300M-recovered on FineWeb-Edu, run locally on a single RTX 5090 laptop (2026-07-14).
Downloads · 30 days
25
5% of all-time downloads
All-time downloads
530
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319M
641 MB on disk
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.safetensors641 MB · 98%
How the weights are stored.
BF16319M · 100%
From the Hugging Face model README
Experimental / research artifact — not a usable model. Broad-data CPT of deepseek-v4-mini-300M-recovered on FineWeb-Edu, run locally on a single RTX 5090 laptop (2026-07-14).
The three-phase Lightning-Indexer protocol (see the recovery kit) applied with broad web text instead of the parent-family data — an experiment in whether the recovered slice generalizes off its native distribution at a ~98M-token budget.
| Phase | Steps | Tokens | Result |
|---|---|---|---|
| 0 dense | 2000 | 65.5M | loss 9.05 → ~7.0 |
| A indexer warmup | 300 | — | KL → 0.023 |
| B sparse (top-k on) | 700 | 22.9M | lm 6.66–6.97, stable |
Config: seq 1024, batch 4, grad-accum 8, Muon, WSD, bf16. W&B: m4mo8jd6
DeepSeek-V4-Flash → 300M slice (-from-flash) → indexer recovery
(-recovered) → this → sft-v1
→ sft-v2