YARQA-ATTN
KANCHAY 路 Doctrine v11 路 Lean 749/14/163 路 螞 = Conjecture 1 (advisory) 路 a-11-oy.com
Python kernel is on this repo. CPU get_kernel import-LIVE MEASURED (7e533ce). GPU cubins UNAVAILABLE (not ROADMAP). Not an alias of szl-receipt-attn. Not a fourth Flash / Flex / paged stack.
Status
STATUS: import-LIVE on CPU Kernel Hub
get_kernel(kernels0.16.1). GPU cubins UNAVAILABLE this session (not ROADMAP).
| Thing | Label | Method / N / date / what-NOT |
|---|---|---|
Kernel Hub get_kernel |
import-LIVE | MEASURED 2026-08-28 3:08pm ET on kernels 0.16.1. Package HEAD 7e533ce (7e533ce702029061bc68f9f9cafe88efdd7f5f00). README at MEASURE 2871b3c. Legal name yarqa-attn (Python module yarqa_attn). Variants: build/torch-universal (default get_kernel) and build/torch-cpu (backend="cpu"). Working calls: get_kernel("SZLHOLDINGS/YARQA-ATTN", revision="main", trust_remote_code=True) and the same with backend="cpu". selfcheck ok. max_abs_vs_compartment_ref=3.58e-07 (full 3.5762786865234375e-07), path=torch_compartment. What-NOT: no tokens/s; no joules; not a fourth Flash / Flex / paged stack. Lambda = Conjecture 1 (advisory). |
| GPU cubins | UNAVAILABLE | MEASURED 2026-08-28 7:01pm ET this session. Host cursor (Linux 6.12.94+ x86_64, Intel Xeon 8-core). torch 2.13.0+cu130 compiled CUDA 13.0. torch.cuda.is_available()=false. nvidia-smi UNAVAILABLE. device_count=0. Triton 3.7.1 present with no CUDA device. No cubin shipped. No tokens/s. No joules. CPU import-LIVE unchanged. Not a fourth Flash / Flex / paged stack. Lab stays Khipu. |
KERNEL kernel card. Original SZL compartment / plug-flow attention cut. Receipt-aware. Honesty-labeled.
Not a Fall 2026 ATELIER weight. No tensors in this repo. Not an alias of szl-receipt-attn. Not a pointer at the Triton trio (szl-receipt-attn, szl-maskmod, szl-block-kv). Those three stay separate. a11oy-net does not list this as a fourth Flash / Flex / paged stack.
GitHub is source of truth: szl-holdings/YARQA-ATTN. KERNEL binds Hub bytes from that tree. Do not PUT an empty card.
| Owner | KERNEL |
| Artifact | kernel (Python present; no weights; GPU cubins not claimed) |
| Status | import-LIVE CPU 路 GPU cubins UNAVAILABLE |
| License | Apache-2.0 |
| 螞 | Conjecture 1 (advisory, never a theorem) |
| Path | torch_compartment (CPU) |
| Serve studio | not this repo. Live CPU lab is szl-model-inference-lab (Khipu GGUF only) |
Silhouette: partition a sequence into canals (contiguous compartments), attend within a canal, emit SHA3-256 of the partition and of the attention output. We do not copy Dao hopper, Sage csrc, vLLM paged .cu, cuDNN FMHA, TRT cubins, CuTeDSL, or flex_attention.py. Metaphor only vs szl-holdings/yarqa (CFD; different product). Throughput is MEASURED only from a timed run on named hardware. Until then every speed claim is unstamped. No tokens/s. No joules.
Do not list this next to Chaski, Qantu, Waman, Chakana, or Tinku.
Load
from kernels import get_kernel
attn = get_kernel("SZLHOLDINGS/YARQA-ATTN", revision="main", trust_remote_code=True)
Fashion GO 2026-08-28 3:10pm ET. import-LIVE CPU stays. GPU cubins stamped UNAVAILABLE 2026-08-28 7:01pm ET (no CUDA device this session). Not a fourth Flash / Flex / paged stack.
Apache-2.0. Copyright 2026 SZL Holdings.
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