Upload combined Qwen3.6 MoE coding saliency analysis

README.md

@@ -0,0 +1,38 @@
+---
+license: other
+pretty_name: Qwen3.6 MoE Coding Expert Saliency Analysis
+tags:
+- qwen
+- moe
+- llama-cpp
+- saliency
+- terminal-bench
+- scicode
+- apple-silicon
+---
+
+# Qwen3.6 MoE Coding Expert Saliency Analysis
+
+This repository contains the combined coding-task expert-saliency report for local Qwen3.6-35B-A3B MoE tracing work.
+
+Primary artifact:
+
+- [`combined_coding_expert_analysis.html`](combined_coding_expert_analysis.html): combined expert activation, router-weight, contribution-proxy, correlation, and residency-candidate analysis across the SciCode MVP trace set and the full Terminal-Bench Hard real-agent trace run.
+
+Companion artifacts:
+
+- [`combined_coding_expert_residency_candidates.json`](combined_coding_expert_residency_candidates.json): machine-readable observational residency candidates.
+- [`reports/scicode_expert_saliency_analysis.html`](reports/scicode_expert_saliency_analysis.html): source SciCode report.
+- [`reports/terminal_bench_hard_agent_saliency_analysis.html`](reports/terminal_bench_hard_agent_saliency_analysis.html): source Terminal-Bench Hard agent report.
+- [`summaries/scicode_saliency_summary.json`](summaries/scicode_saliency_summary.json): SciCode summary metrics.
+- [`summaries/terminal_bench_hard_agent_saliency_summary.json`](summaries/terminal_bench_hard_agent_saliency_summary.json): Terminal-Bench Hard agent summary metrics.
+- [`recommendations/atx_expert_residency_policy.json`](recommendations/atx_expert_residency_policy.json): local ATX residency policy artifact, when available.
+- [`upload_manifest.json`](upload_manifest.json): file hashes, source paths, and upload metadata.
+
+## Important Caveats
+
+These results are observational routing/contribution-proxy measurements. They are useful for proposing which experts or layer-expert cells should remain VRAM-resident, but they are not a causal proof that those policies preserve quality or maximize throughput. Final residency recommendations should be validated with forced-residency/offload runs on the same prompts or agent tasks.
+
+This upload intentionally excludes raw trace files and large parquet intermediates. It is a shareable analysis bundle, not the complete trace corpus.
+
+The reports are not official Artificial Analysis benchmark reproductions. They use public/reconstructable tasks and local instrumentation to study MoE routing behavior.

combined_coding_expert_residency_candidates.json

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+{
+  "basis": "observational router/contribution proxy saliency from SciCode MVP plus full Terminal-Bench Hard agent traces; not causal offload validation",
+  "datasets": {
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+      "trace_rows": 76604880,
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+      "questions": 291,
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+      "importance_total": 454967409.551472,
+      "importance_gini": 0.5077922684330738,
+      "importance_hhi": 0.008195238642133725,
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+      "top20_importance_share": 0.29653931363197633,
+      "top64_importance_share": 0.6184649704986361,
+      "top77_importance_share": 0.6821213215961357
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+    "terminal_bench_hard_agent": {
+      "label": "Terminal-Bench Hard Agent",
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+      "layers": 40,
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+      "importance_total": 31888759666.616196,
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+      "terminal_importance_score_share": 0.0004726566
+    }
+  ]
+}

recommendations/atx_expert_residency_policy.json

@@ -0,0 +1,51 @@
+{
+  "name": "atx_smoke_validated_global_0_31",
+  "keep_experts": [
+    0,
+    1,
+    2,
+    3,
+    4,
+    5,
+    6,
+    7,
+    8,
+    9,
+    10,
+    11,
+    12,
+    13,
+    14,
+    15,
+    16,
+    17,
+    18,
+    19,
+    20,
+    21,
+    22,
+    23,
+    24,
+    25,
+    26,
+    27,
+    28,
+    29,
+    30,
+    31
+  ],
+  "validation": {
+    "xl_model": "Qwen3.6-35B-A3B-UD-Q4_K_XL.gguf",
+    "mtp_model": "Qwen3.6-35B-A3B-UD-Q4_K_M.gguf",
+    "xl_deterministic_match_baseline": true,
+    "xl_resident_cache_hit_slices": 2136,
+    "xl_cache_miss_slices": 0,
+    "mtp_server_200": true,
+    "mtp_draft_head_registered": true,
+    "mtp_draft_n": 32,
+    "mtp_draft_n_accepted": 1,
+    "mtp_resident_cache_hit_slices": 1272,
+    "mtp_cache_miss_slices": 0
+  },
+  "notes": "Smoke policy only. Use heat-map rankings for real 20/50/80 expert policies before performance campaigns."
+}

upload_manifest.json

@@ -0,0 +1,56 @@
+{
+  "created_utc": "2026-05-21T04:22:32.995095+00:00",
+  "hf_repo_id": "sjakek/qwen36-moe-coding-expert-saliency",
+  "local_workspace": "/Users/jkooker/Documents/Codex/2026-05-18/does-llama-cpp-allow-you-to",
+  "atx_llama_cpp_branch": "atx-expert-residency",
+  "atx_llama_cpp_commit": "889f83e283b79eff8ccb49152dfa49f35983f2a3",
+  "notes": [
+    "Raw trace JSONL/Zstandard and parquet tables are intentionally not included in this upload.",
+    "Expert residency recommendations are observational saliency/proxy results, not causal offload validation.",
+    "The combined report joins the SciCode MVP trace set with the full Terminal-Bench Hard real-agent trace run."
+  ],
+  "files": [
+    {
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