V3 is the third and final release of our decensored Hemmingway-1, and the first that stays decensored with **thinking on**. V2 (trial 208) removed refusals only with thinking off: at low reasoning effort it refused 60 of 100 harmful prompts, and 87 at medium. V3 (trial 124) was searched and selected on thinking-mode refusals. It refuses 2 of 100 at both low and medium effort. We also ran a 60-prompt blind comparison against the original, modelled on the method in Hemmingway-1's own model card. The judge found no measurable loss in writing quality, and judged V3's writing more likely to be a person's in 72% of matchups. Base model: Altworld/Hemmingway-1 — 27B, Qwen3.8 lineage, 64 decoder layers plus one MTP block, 262,144-token context.
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View details ↗This is the vision variant of V3 Final. The language model is unchanged from it: all 866 transformer tensors are byte-identical (SHA-256 verified), so every text evaluation in the V3 Final card carries over verbatim. The variant adds only the vision encoder and projector from Qwen/Qwen3.8-27B (333 tensors), plus the multimodal processor and chat template. V3 is the third and final release of our decensored Hemmingway-1, and the first that stays decensored with **thinking on**. V2 (trial 208) removed refusals only with thinking off: at low reasoning effort it refused 60 of 100 harmful prompts, and 87 at medium. V3 (trial 124) was searched and selected on thinking-mode refusals. It refuses 2 of 100 at both low and medium effort. We also ran a 60-prompt blind comparison against the original, modelled on the method in Hemmingway-1's own model card. The judge found no measurable loss in writing quality, and judged V3's writing more likely to be a person's in 72% of matchups.
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View details ↗This work presents **NoPo4D**, the first feed-forward system that jointly addresses dynamic content, multi-view input, and unknown camera poses in a single pass. In pursuit of pose-free 4D reconstruction, NoPo4D yields two key insights: 🏆 NoPo4D consistently outperforms prior feed-forward baselines across four multi-view dynamic benchmarks (ExoRecon, Immersive Light Field, Kubric, and N3DV). With an optional post-optimization stage, it surpasses per-scene optimization methods while running orders of magnitude faster. For full installation instructions (including the custom Depth Anything 3 backbone and optional `torch-scatter`), please refer to the NoPo4D GitHub repository.
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View details ↗There is **no universal current default launcher** across the historical profiles retained in this card. For a new deployment, do not infer a default from an older section: The portable r17 package becomes the recommended downloadable path only after it repeats the end-to-end graph, task, 260K retrieval, and numerical gates on the corrected dual-ABI build. An immutable five-fresh-boot acceptance panel plus a factorial G64-Q-only follow-up compared the r17 FP8 MLA reader paths. Lower KLD is better.
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