Link the published paper (arXiv:2608.23841); update citation
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README.md
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A custom decoder-only transformer with delayed dense FFN + delayed MoE experts,
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designed so its inter-layer dependency graph permits vertical pipelining on CPU.
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Part of the **cflow** project — a CPU-first streaming inference engine written in
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Rust.
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> **Hosted weights:** this repository hosts `model.cflow` (17.39 GB) — the
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> **arch2_4_8k_16l** model: 16 layers, hidden 8192, **~31B parameters**
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## Citation
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```bibtex
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author
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title
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}
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```
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A custom decoder-only transformer with delayed dense FFN + delayed MoE experts,
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designed so its inter-layer dependency graph permits vertical pipelining on CPU.
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Part of the **cflow** project — a CPU-first streaming inference engine written in
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Rust. **Paper: [arXiv:2608.23841](https://arxiv.org/abs/2608.23841).**
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> **Hosted weights:** this repository hosts `model.cflow` (17.39 GB) — the
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> **arch2_4_8k_16l** model: 16 layers, hidden 8192, **~31B parameters**
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## Citation
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```bibtex
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@misc{poperszky2026cflow,
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author = {Poperszky, Tom},
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title = {Pipeline-Native Transformers: Co-Designing Model Architecture
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and CPU Inference for Bandwidth-Efficient Autoregressive Decode},
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year = {2026},
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eprint = {2608.23841},
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archivePrefix = {arXiv},
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primaryClass = {cs.LG},
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url = {https://arxiv.org/abs/2608.23841}
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}
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}
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```
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