ZeroS-Pico-v1.1

This release improves upon ZeroS-Pico-v1.0 through architectural refinements and extended pretraining on over 1.7B tokens.

Architecture: What's different?

Component ZeroS-Pico-v1.0 ZeroS-Pico-v1.1 Notes
Layers 9 12 Deeper network depth
Hidden Size 32 32 No change
Vocab Size 260 260 No change
Attention Heads 4 4 No change
KV Heads 2 2 No change
Intermediate Size 64 64 No change
SwiGLU Interval 4 6 Same FFN capacity
mHC Lanes 4 1 Higher training throughput with virtually no loss in precision
Engram True False Rerouted parameters into layers instead of Engram embeddings
Max Position Embeddings (training sequence length) 96 155 Increased maximum context
Tie Word Embeddings True True No change

ZeroS-Pico-v1.1 takes a deep-and-narrow approach, focusing parameter budget on raw transformer depth and throughput rather than auxiliary mechanisms like Engram embeddings and multi-lane routing.

Training Dataset

ZeroS-Pico-v1.1 was trained on 1.7B tokens (up from 600M in v1.0), covering web text, educational material, synthetic data, normalized code, and mathematics.

Dataset Share
FineWeb-Edu 36.0%
DCLM Baseline 1.0 22.9%
FinePhrase 13.4%
MGA FineWeb-Edu 10.3%
Tiny Strange Textbooks 8.2%
OpenMathInstruct-2 7.6%
NPset-2 Python-Edu 1.6%

Benchmark Results

Task ZeroS-Pico-v1.0 ZeroS-Pico-v1.1 Difference
ARC Challenge 22.95% 24.57% +1.62%
ARC Easy 27.65% 26.30% -1.35%
HellaSwag 25.94% 26.19% +0.25%
PIQA 49.62% 51.14% +1.52%
ArithMark-3.0 31.50% 32.00% +0.50%
Average 31.53% 32.04% +0.51%

As you can see, ZeroS-Pico-v1.1 is a steady improvement over v1.0, outperforming it on 4 out of 5 benchmarks with notable gains on ARC Challenge (+1.62%) and PIQA (+1.52%), despite a regression on ARC Easy.

On the Open SLM Leaderboard, at just 59.8K parameters, it outranks the 2.6M parameter Supra-Mini-v4-2M:

Open SLM Leaderboard Rankings

Hardware

  • AMD Ryzen 5 2600

License

Apache 2.0

Citation

@misc{zeros-pico-v1.1,
  title        = {ZeroS-Pico-v1.1},
  organization = {FromZero},
  authors      = {Paul Courneya},
  year         = {2026},
  url          = {https://huggingface.co/fromziro/ZeroS-Pico-v1.1}
}
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