ILLATIO ECOSYSTEM // SPARSE MOE INFERENCE INFRASTRUCTURE GUILD CORE 140F6F7
Guild.
Menu
GitHub
Evidence / performance

The measurement.
And its limits.

Selected reported results, not a universal speed claim. Every row below belongs to a specific model, workload, and decoding configuration.

A large-RAM server.
An 8 GiB GPU.

  • CPU2× Xeon Gold 6130 · 32C / 64T
  • Memory376 GiB DDR4 · dual NUMA
  • GPUGeForce GTX 1070 · 8 GiB
  • PlatformLinux · AVX-512 capable

Reading these results

Source: Phase 6.6.1 tables in the report snapshot at 140f6f7. Engine change: c7c8c79; earlier Phase 6.6: ed7a5db. GEXEC active, CPU expert path, max draft 4, greedy generation. Qwen cross-window parity runs use GUILD_IQ_MT_MIN=1.

These are decode tokens per second, not end-to-end request throughput. Ranges combine reported development runs and revisions; they are not confidence intervals or paired median/dispersion estimates.

GEXEC artifacts were regenerated during tuning. Exact per-row calibration identity is not established here, limiting controlled cross-revision comparisons.

The workload changes
the outcome.

Phase 6.6.1 · decode tok/s · prompt / generated token counts
Model / quantization Workload Prompt / gen Normal Fixed strategy Adaptive Source
Ornith 1.5 35B
Q4_K_M
W2 · Summarization 256 / 128 50.27 Lookup · 82.19 80.08–80.84 §8.3 A ↗
Ornith 1.5 35B
Q4_K_M
W7 · Creative prose 256 / 128 49.75 Lookup · 48.84 49.10–49.18 §8.3 A ↗
Qwen3.8-Flash-Next
UD-IQ4_XS
W3 · JSON schema 256 / 64 18.33 MTP · 23.43 23.52 §8.3 B ↗
Qwen3.8-Flash-Next
UD-IQ4_XS
W8 · Mathematical reasoning 256 / 64 18.40 MTP · 23.94 23.68 §8.3 B ↗

Ornith 1.5 35B / W2 · Summarization

Normal (T=1) 50.27 tok/s
Fixed (Lookup) 82.19 tok/s
Adaptive (Phase 6.6.1) 80.08–80.84 tok/s

Favorable input/output overlap. Fixed lookup is faster in the reported results.

Ornith 1.5 35B / W7 · Creative prose

Normal (T=1) 49.75 tok/s
Fixed (Lookup) 48.84 tok/s
Adaptive (Phase 6.6.1) 49.10–49.18 tok/s

Adaptive remains below normal. Fallback does not guarantee zero regression.

Qwen3.8-Flash-Next / W3 · JSON schema

Normal (T=1) 18.33 tok/s
Fixed (MTP) 23.43 tok/s
Adaptive (Phase 6.6.1) 23.52 tok/s

Development result; the small difference from fixed MTP is not a demonstrated statistically significant win.

Qwen3.8-Flash-Next / W8 · Mathematical reasoning

Normal (T=1) 18.40 tok/s
Fixed (MTP) 23.94 tok/s
Adaptive (Phase 6.6.1) 23.68 tok/s

Phase 6.6 adaptive was 24.31 tok/s. This Phase 6.6.1 result regresses versus that revision and fixed MTP.

Held-out counterexample: Ornith H4 (Riemann tensor) reports 50.16 tok/s normal, 42.07 fixed lookup, and 47.92 adaptive. Adaptive is below normal by about 4.5%. The summary table does not provide complete per-run configuration; treat it as a reported observation rather than a reproducible paired estimate.
02 / Boundaries of the evidence

What these numbers
do not establish.

80+ tok/s Ornith results rely on favorable speculative workloads with substantial reusable text. They are not general chat throughput, all-model performance, or measurements on a small-RAM consumer desktop.

Offline calibration measures CPU dispatch and lookup/retrieval microbenchmarks. Full verification curves, GPU/context costs, and concurrent-session scaling still include estimates. A doubled CPU job count is not a concurrent-session benchmark.

The website does not assert successful Phase 6.6.1 sanitizer, complete CUDA CTest, seeded-sampling, or concurrency validation without retained evidence. The engine report is available as a historical source, with those limits noted.

Ryzen 5 5600X / RTX 5070 results remain pending actual hardware measurement.

Read the engineering.