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Red Lite dev15a — DeltaNet projection field validation

Target: Apple M4 Pro, 24 GiB unified memory, Bartowski Qwen_Qwen3-Next-80B-A3B-Instruct-IQ2_XXS.gguf.

Layer graph audit#

The corrected native layer audit passed on the real GGUF:

  • GGUF v3, 843 tensors;
  • 456 non-FFN layer tensors, 511.831 MiB physical span;
  • 48/48 layers discovered;
  • attention pattern: 36 recurrent/DeltaNet, 12 full-attention, 0 mixed, 0 unknown;
  • norm pairs: 48/48 after correcting the GGUF suffix to post_attention_norm.weight;
  • recurrent layers: 0,1,2,4,5,6,8,9,10,12,13,14,16,17,18,20,21,22,24,25,26,28,29,30,32,33,34,36,37,38,40,41,42,44,45,46;
  • full-attention layers: 3,7,11,15,19,23,27,31,35,39,43,47.

All layers reported norms=YES.

DeltaNet projection parity — real layer 0#

redlite-deltanet-proj parity ... --layer 0 --rows 8 passed on the real model.

Discovered layout:

  • RMS epsilon: 9.99999997e-07;
  • hidden: 2048;
  • QKV: IQ2_XXS (2048,8192);
  • Z gate: IQ2_XXS (2048,4096);
  • beta/alpha: Q8_0 (2048,64).

Telemetry:

  • CPU read: 0.703 ms / 4 calls / 33.250 KiB (only requested rows for quant projections);
  • GPU read: 2.788 ms / 4 calls / 6.328 MiB (full projection tensors into shared Metal buffers);
  • SSD during compute: 0 bytes / 0 calls;
  • CPU compute: 0.065 ms;
  • GPU compute: 3.939 ms.

Parity:

  • RMSNorm max abs/rel: 2.01322e-07 / 1.08407e-07, YES;
  • QKV max abs/rel: 1.04662e-06 / 3.72052e-05, YES;
  • Z max abs/rel: 9.24545e-07 / 1.02637e-05, YES;
  • BA max abs/rel: 6.47018e-07 / 6.88752e-07, YES;
  • overall projection parity: YES.

Representative row 0:

  • QKV GPU/CPU: -0.6311109 / -0.6311105;
  • Z GPU/CPU: -0.4139920 / -0.4139925;
  • BA GPU/CPU: +0.1260645 / +0.1260644.

Validation boundary#

Dev15a validates the real-model input RMSNorm and the optimized DeltaNet front-end projections (attn_qkv, attn_gate, ssm_ba), including the first native Q8_0 path. It does not yet validate convolutional recurrent state handling or the Gated DeltaNet matrix-state update.

Next checkpoint: beta/alpha parameter transforms, conv-state shift, real F32 ssm_conv1d, SiLU, Q/K/V split, and per-head Q/K L2 normalization before the recurrent delta update.

SOURCE docs/REDLITE_DEV15A_DELTANET_PROJECTION_FIELD_VALIDATION.md · updated 2026-09-03 · EDIT ON GITHUB