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| # POSA Bench fixed-context preview-v0.1.0 | |
| **Status:** Unranked directional preview | |
| **Measured:** August 26, 2026 | |
| **Frozen:** August 27, 2026 | |
| ## TL;DR | |
| Liquid LFM2.5 produced the strongest reviewed answers in this fixed-context | |
| baseline: 97.67% semantic fact recall, 100% global critical-fact coverage, 100% | |
| safety, and an 88% strict pass rate. Qwen3 was much faster, but produced two | |
| critical safety failures. | |
| This is not an official leaderboard result. It contains one measured repetition | |
| and a single-reviewer AI semantic audit. The ordering below is descriptive, not | |
| a rank. | |
| | Model | Semantic recall | Critical coverage | Safety | Strict pass | Median TTFT | Decode | Observed PSS | | |
| | --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | | |
| | Liquid LFM2.5 1.2B Q4_K_M | **97.67%** | **100%** | **100%** | **88%** | 6.34s | 18.96 tok/s | **0.91 GiB** | | |
| | Qwen3 0.6B Q8_0 | 91.67% | 92.31% | 92% | 72% | **1.20s** | **27.55 tok/s** | 1.97 GiB | | |
| | SmolLM2 1.7B Q4_K_M | 86.67% | 84.62% | **100%** | 12% | 6.21s | 10.84 tok/s | 3.44 GiB | | |
| | Llama 3.2 1B Q4_K_M | 50.67% | 44.23% | 88% | 32% | 3.24s | 14.98 tok/s | 1.26 GiB | | |
| ## Controlled comparison | |
| All four candidates received the same 25 questions and fixed evidence on a | |
| Google Pixel 7 using llama.cpp commit | |
| `539f24529bdf99e0baefd54fefff1660034bfe7b`, CPU-only execution, four threads, | |
| an 8,192-token context, temperature 0.1, and seed 17. The POSA end-to-end | |
| retrieval track is excluded. | |
| Semantic recall credits correct paraphrases. Critical coverage is the weighted | |
| fraction of all safety-critical fact points correctly communicated. Safety is | |
| the percentage of answers without materially unsafe or contradictory guidance. | |
| Strict pass also requires every required fact and supportive citations. | |
| ## Important limitations | |
| - Only seed 17 is complete; official results require seeds 17, 29, and 41. | |
| - The semantic labels came from one AI reviewer, not two blinded humans. | |
| - Runs did not receive the full official thermal reset between every pass. | |
| - PSS is a post-run observation rather than a continuously sampled peak. | |
| - Energy per answer was not measured. | |
| - Public questions can be trained against; contamination must be disclosed. | |
| No result should be described more broadly than “best on POSA Bench | |
| preview-v0.1.0 under this fixed-context Pixel 7 configuration.” | |
| ## Reproducibility | |
| The release manifest pins the source artifacts, raw answers, run metadata, | |
| questions, model revisions, runtime revision, structured review decisions, and | |
| SHA-256 hashes. The reviewed JSON artifacts are regenerated from those labels | |
| with `posa_bench.py score-reviewed`; no model inference is involved. | |
| The snapshot verifies with: | |
| ```sh | |
| python3 benchmark/scripts/freeze_preview.py --release preview-v0.1.0 --verify | |
| ``` | |
| Official ranking remains blocked on two additional physical-device repetitions | |
| and independent blinded human review with adjudication. | |