spec: qwen3-moe-sampling-v1 — temperature/top_k/top_p follow-up to M32d#1837
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Registers a new provable contract for temperature + top_k + top_p sampling on the qwen3_moe inference path. Sibling to qwen3-moe-streaming-sse-v1 (#1835); independent follow-up to M32d (#1832). ## Motivation `run_qwen3_moe_generate` currently does unconditional greedy argmax. QuantizedGenerateConfig.temperature/top_k/top_p are silently ignored. HTTP chat requests with non-zero temperature get the SAME output every time — unacceptable for production chat. ## Why now The V1_004 bench (paiml/claude-code-parity-apr Phase 6 against Qwen3-Coder-30B-A3B) is hitting 900s per-turn timeout because the 30B-MoE is verbose. Temperature scaling (e.g. 0.3) could concentrate probability mass on high-confidence tokens and reduce rambling. Greedy-only forces ONE point on the spectrum. ## Falsification gates - V1_001: greedy-fallback (temperature=0 OR top_k=1) → deterministic - V1_002: temperature>0 + fixed seed → deterministic - V1_003: temperature>0 + different seeds → different outputs - V1_004: top_k=1 with high temperature → still equivalent to greedy ## Implementation phases (engineer playbook) - Phase 1 (~2hr): lift dense-path sampling block into reusable helper - Phase 2 (~1hr): wire into run_qwen3_moe_generate decode loop - Phase 3 (~2-3hr): cargo test battery + optional companion sub-bench Total ~5-6 hours; operator-actionable any time. Independent of qwen3-moe-streaming-sse-v1. NOT in scope: - Repetition penalty (separate qwen3-moe-repetition-penalty-v1 contract) - Mirostat / logit bias / streaming (separate concerns) Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
This was referenced May 20, 2026
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…ischarged; supersedes #1843) (#1844) * spec: qwen3-moe-repetition-penalty-v1 — third 3-knob follow-up to M32d Registers a new provable contract for repetition penalty (`repeat_penalty` + `repeat_last_n`) on the qwen3_moe inference path. Completes the 3-knob toolkit alongside: - qwen3-moe-sampling-v1 (#1837 contract + #1842 impl) — temperature/top_k/top_p - qwen3-moe-streaming-sse-v1 (#1835) — per-token SSE streaming - qwen3-moe-repetition-penalty-v1 (this PR) — repeat_penalty / repeat_last_n ## Motivation `QuantizedGenerateConfig` has `repeat_penalty` (f32) + `repeat_last_n` (usize) fields. The dense path's `sample_advanced` applies them. The qwen3_moe path's new `sample_from_logits` (added by #1842) does NOT. Empirical observation from M287 evidence: Qwen3-Coder-30B-A3B is generating REPEATED restatements in its turn-1 output (same Rust snippet 3× in fixture leetcode__01-two-sum). Repetition penalty (typically 1.1-1.3) would down-weight recently-generated tokens, breaking the textual loop and forcing the model to either commit to a tool call or change tactics. ## Falsification gates - V1_001: `repeat_penalty == 1.0` is a no-op (backwards compat) - V1_002: `repeat_penalty > 1.0` down-weights repeated tokens - V1_003: `repeat_last_n` bounds the window correctly - V1_004: companion-side bench with penalty produces a measurably different outcome distribution than the greedy baseline ## Implementation phases (engineer playbook) - Phase 1 (~1hr): extend `sample_from_logits` signature with `recent_tokens: &[u32]` parameter; apply penalty as Step 1 - Phase 2 (~30min): plumb `&tokens` through decode loop - Phase 3 (~2hr): unit tests + companion-side bench env-var plumbing Total ~3-4 hours; operator-actionable any time post-M32d-merge. ## NOT in scope - Mirostat / DRY / other penalty schemes - Per-token logit biases - Dynamic per-position penalty - Companion-side bench env-var plumbing (separate companion PR; this contract is aprender-side only) Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * feat: qwen3-moe-repetition-penalty-v1 implementation (V1_001-V1_003 discharged) Implements the qwen3-moe-repetition-penalty-v1 contract. Bumps the contract v1.0.0 → v1.1.0 with status_history. Supersedes #1843 (which was contract-only). ## Implementation `crates/aprender-serve/src/infer/qwen3_moe_generate.rs`: - `sample_from_logits` signature extended with `recent_tokens: &[u32]` parameter - Repetition penalty applied as **Step 1** (BEFORE temperature scaling) - Mirrors Candle's `apply_repeat_penalty` semantics (PMAT-383/384, dense path's `sample_advanced` in `gguf/inference/fails.rs:100`): - For positive logits: `logits[idx] /= repeat_penalty` - For negative logits: `logits[idx] *= repeat_penalty` - Window: last `repeat_last_n` tokens from `recent_tokens` - No-op when `repeat_penalty == 1.0` OR `repeat_last_n == 0` - Decode loop passes `&tokens` slice (cheap borrow; no allocation per token) ## Test results 12/12 tests pass in `cargo test sample_from_logits_tests`: - 4 original sampling tests (V1_001 greedy fallback, V1_002 seeded RNG, V1_003 seed divergence, V1_004 top_k=1 forces greedy) - 5 NEW rep-penalty tests: - V1_001a: repeat_penalty=1.0 no-op - V1_001b: repeat_last_n=0 no-op - V1_002a: positive-logit branch (division) - V1_002b: negative-logit branch (multiplication; Candle convention) - V1_003: repeat_last_n window bounds (n=0/n=2/n=8 different effects) - 3 edge cases (empty logits error, top_p=1 no-op, signature compatibility) ## V1_004 (operator-coordinated bench discharge) Operator can dispatch companion-side bench with APR_AGENT_REPEAT_PENALTY=1.2 + APR_AGENT_REPEAT_LAST_N=64 once companion-side env-var plumbing (Phase 3 of #1843) lands. Bench script + analyzer already pass through `gen_config` to `run_qwen3_moe_generate` — this PR makes that pass-through actually apply repetition penalty. ## Stacked on #1842 (qwen3-moe-sampling-v1 implementation; the `sample_from_logits` helper this PR extends). Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
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…(all 4 falsifiers discharged) (#1842) * test(distill): fixture-driven integration tests for ShardBatchSource (F-DISTILL-SHARD-BATCH-001/002) Closes the cross-component contract gap that the Blackwell cascade post-mortem (lesson #2) identified: cache machinery is silent on divergences between producer and consumer, until live dispatch surfaces the failure. Same risk class for ShardBatchSource: its wrap-around / cursor / chunk semantics need fixture-driven verification. Adds two tests gated on `shard-batch-source` feature: F-DISTILL-SHARD-BATCH-001 — happy path Writes a tiny .bin shard with [0, 1, ..., 4095] tokens, opens via ShardBatchSource::from_dir, asserts: - batch shape (4 rows × 16 tokens) - all returned tokens lie in [0, 4096) (fixture range) - labels in same range Catches: any cursor-off-by-one or layout swap that produces garbage outside the fixture range. F-DISTILL-SHARD-BATCH-002 — wrap-around Writes only 128 tokens (enough for ~1.88 batches at bs=4, seq=16), consumes 5 batches in a row. Asserts no error — wrap_around=true is the default for ShardBatchSource. Catches: regression where the iterator returns None on exhaustion despite the constructor setting wrap_around. Test plan: - [x] 63 distill lib tests pass (was 61; 2 new) - [x] `cargo test --features shard-batch-source` clean These two tests would have caught most ShardBatchSource bugs at PR-time instead of at gx10-dispatch-time, where each failure costs 5-15min. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * feat: qwen3-moe-sampling-v1 implementation — temperature/top_k/top_p Implements the qwen3-moe-sampling-v1 contract (#1837; v1.0.0 → v1.1.0). Discharges ALL 4 falsifiers via in-session work + empirical validation against Qwen3-Coder-30B-A3B-Instruct-Q4_K_M. ## Empirical results 4-test battery (19.28s total wall): - V1_001 (greedy determinism): 3 runs returned identical [9707, 198, 40, 614, 264, 3405] ("I have a question") - V1_002 (seeded RNG reproducibility): 2 runs seed=42 temp=0.7 returned identical [9707, 198, 40, 1079, 264, 220] - V1_003 (seed divergence): seed=42 vs seed=43 produced totally different generated tokens - V1_004 (top_k=1 forces greedy regardless of temperature): byte-identical to pure greedy output ## Implementation `crates/aprender-serve/src/infer/qwen3_moe_generate.rs`: - New private `sample_from_logits(logits, config, rng) -> Result<u32>` - Pipeline mirrors the dense `Self::sample_advanced` (in `gguf/inference/fails.rs:100`): temperature scale → top_k filter → top_p filter → multinomial draw - Greedy fallback when `temperature == 0` OR `top_k == 1` - Uses `rand::rngs::StdRng` (ChaCha12; seedable from u64) for reproducibility. NOT `rand::thread_rng()` like the dense path (intentional — V1_002 requires deterministic re-runs from same seed) - Decode loop seeds the RNG from `QuantizedGenerateConfig.seed` New test: `crates/aprender-serve/tests/qwen3_moe_sampling_v1.rs` — 4 falsifier tests, env-gated on QWEN3_MOE_GGUF_PATH (mirrors the existing qwen3_moe_serve_dispatch_v1 + moe_kv_cache_equivalence tests). ## NOT in scope - Repetition penalty (separate contract qwen3-moe-repetition-penalty-v1; still pending operator authorization) - Mirostat / logit bias / streaming (separate concerns) ## Companion-side downstream The V1_004 bench (paiml/claude-code-parity-apr Phase 6) is hitting 900s per-turn timeout because the 30B-MoE is verbose under greedy decoding. With sampling shipped, operator can dispatch a follow-up bench with `temperature=0.3` (or similar) which may concentrate probability mass on action tokens and reduce rambling. The bench script + analyzer already pass temperature through `gen_config` to `run_qwen3_moe_generate` — this PR makes that pass-through actually take effect. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * test(qwen3-moe-sampling-v1): add CI-runnable unit tests (no GGUF needed) Complements the env-gated integration tests in `crates/aprender-serve/tests/qwen3_moe_sampling_v1.rs` (which require a real Qwen3-MoE GGUF) with pure-Rust unit tests against synthetic logits arrays. These run unconditionally in CI and pin all 4 falsifiers as runnable gates without requiring `QWEN3_MOE_GGUF_PATH`. 7 tests total in `sample_from_logits_tests`: - v1_001_temperature_zero_is_argmax_deterministic — greedy fallback via temperature == 0 - v1_001_top_k_one_is_argmax_deterministic — greedy fallback via top_k == 1 (independent path) - v1_002_seeded_rng_is_reproducible — seed=42 produces same token across 5 invocations - v1_003_different_seeds_diverge — 32 seeds produce ≥ 3 distinct tokens (statistical bound) - v1_004_top_k_one_equals_pure_greedy — top_k=1 with high temp byte-identical to pure greedy - empty_logits_returns_error — edge case, no panic - top_p_one_is_no_op — edge case, top_p=1.0 equivalent to top_p sentinel-off path Empirical: ``` cargo test -p aprender-serve --lib sample_from_logits_tests --features cuda test result: ok. 7 passed; 0 failed; 0 ignored; 0 measured; 16890 filtered out; finished in 0.00s ``` CI gates the sampling invariants at every PR going forward. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * feat: qwen3-moe-repetition-penalty-v1 implementation (V1_001-V1_003 discharged; supersedes #1843) (#1844) * spec: qwen3-moe-repetition-penalty-v1 — third 3-knob follow-up to M32d Registers a new provable contract for repetition penalty (`repeat_penalty` + `repeat_last_n`) on the qwen3_moe inference path. Completes the 3-knob toolkit alongside: - qwen3-moe-sampling-v1 (#1837 contract + #1842 impl) — temperature/top_k/top_p - qwen3-moe-streaming-sse-v1 (#1835) — per-token SSE streaming - qwen3-moe-repetition-penalty-v1 (this PR) — repeat_penalty / repeat_last_n ## Motivation `QuantizedGenerateConfig` has `repeat_penalty` (f32) + `repeat_last_n` (usize) fields. The dense path's `sample_advanced` applies them. The qwen3_moe path's new `sample_from_logits` (added by #1842) does NOT. Empirical observation from M287 evidence: Qwen3-Coder-30B-A3B is generating REPEATED restatements in its turn-1 output (same Rust snippet 3× in fixture leetcode__01-two-sum). Repetition penalty (typically 1.1-1.3) would down-weight recently-generated tokens, breaking the textual loop and forcing the model to either commit to a tool call or change tactics. ## Falsification gates - V1_001: `repeat_penalty == 1.0` is a no-op (backwards compat) - V1_002: `repeat_penalty > 1.0` down-weights repeated tokens - V1_003: `repeat_last_n` bounds the window correctly - V1_004: companion-side bench with penalty produces a measurably different outcome distribution than the greedy baseline ## Implementation phases (engineer playbook) - Phase 1 (~1hr): extend `sample_from_logits` signature with `recent_tokens: &[u32]` parameter; apply penalty as Step 1 - Phase 2 (~30min): plumb `&tokens` through decode loop - Phase 3 (~2hr): unit tests + companion-side bench env-var plumbing Total ~3-4 hours; operator-actionable any time post-M32d-merge. ## NOT in scope - Mirostat / DRY / other penalty schemes - Per-token logit biases - Dynamic per-position penalty - Companion-side bench env-var plumbing (separate companion PR; this contract is aprender-side only) Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * feat: qwen3-moe-repetition-penalty-v1 implementation (V1_001-V1_003 discharged) Implements the qwen3-moe-repetition-penalty-v1 contract. Bumps the contract v1.0.0 → v1.1.0 with status_history. Supersedes #1843 (which was contract-only). ## Implementation `crates/aprender-serve/src/infer/qwen3_moe_generate.rs`: - `sample_from_logits` signature extended with `recent_tokens: &[u32]` parameter - Repetition penalty applied as **Step 1** (BEFORE temperature scaling) - Mirrors Candle's `apply_repeat_penalty` semantics (PMAT-383/384, dense path's `sample_advanced` in `gguf/inference/fails.rs:100`): - For positive logits: `logits[idx] /= repeat_penalty` - For negative logits: `logits[idx] *= repeat_penalty` - Window: last `repeat_last_n` tokens from `recent_tokens` - No-op when `repeat_penalty == 1.0` OR `repeat_last_n == 0` - Decode loop passes `&tokens` slice (cheap borrow; no allocation per token) ## Test results 12/12 tests pass in `cargo test sample_from_logits_tests`: - 4 original sampling tests (V1_001 greedy fallback, V1_002 seeded RNG, V1_003 seed divergence, V1_004 top_k=1 forces greedy) - 5 NEW rep-penalty tests: - V1_001a: repeat_penalty=1.0 no-op - V1_001b: repeat_last_n=0 no-op - V1_002a: positive-logit branch (division) - V1_002b: negative-logit branch (multiplication; Candle convention) - V1_003: repeat_last_n window bounds (n=0/n=2/n=8 different effects) - 3 edge cases (empty logits error, top_p=1 no-op, signature compatibility) ## V1_004 (operator-coordinated bench discharge) Operator can dispatch companion-side bench with APR_AGENT_REPEAT_PENALTY=1.2 + APR_AGENT_REPEAT_LAST_N=64 once companion-side env-var plumbing (Phase 3 of #1843) lands. Bench script + analyzer already pass through `gen_config` to `run_qwen3_moe_generate` — this PR makes that pass-through actually apply repetition penalty. ## Stacked on #1842 (qwen3-moe-sampling-v1 implementation; the `sample_from_logits` helper this PR extends). Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
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Summary
Registers a new provable contract `qwen3-moe-sampling-v1` for temperature + top_k + top_p sampling on the qwen3_moe inference path. Independent follow-up to #1832 (M32d).
Why now
`run_qwen3_moe_generate` currently does unconditional greedy argmax. `QuantizedGenerateConfig.temperature/top_k/top_p` are silently ignored. HTTP chat requests with non-zero temperature get identical outputs — unacceptable for production chat.
The V1_004 bench (Phase 6 against Qwen3-Coder-30B-A3B) is currently hitting 900s per-turn timeout because the 30B-MoE is verbose. Temperature scaling (e.g. 0.3) could concentrate probability mass and reduce rambling.
Contract gates
Implementation phases (engineer playbook)
Total ~5-6 hours; operator-actionable any time. Independent of qwen3-moe-streaming-sse-v1.
NOT in scope
Test plan
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