{"schema_version":"onlylabs.public_signal.v1","title":"Amazon (Nova) Model: amazon/ALoDLM-1.7B","description":"Amazon (Nova) model signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/db35be9b-9390-410b-b319-bead87044faa","json_url":"https://onlylabs.fyi/signals/db35be9b-9390-410b-b319-bead87044faa/signal.json","generated_at":"2026-10-24T20:23:20.195Z","evidence_latest_fetched_at":"2026-10-06T07:20:23.596872+00:00","signal_first_seen_at":"2026-10-06T07:20:08.507036+00:00","org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/amazon","dossier_json_url":"https://onlylabs.fyi/labs/amazon/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/db35be9b-9390-410b-b319-bead87044faa","signal_json":"https://onlylabs.fyi/signals/db35be9b-9390-410b-b319-bead87044faa/signal.json","source":"https://huggingface.co/amazon/ALoDLM-1.7B","lab_dossier":"https://onlylabs.fyi/labs/amazon","lab_dossier_json":"https://onlylabs.fyi/labs/amazon/dossier.json","analysis":"https://onlylabs.fyi/analysis/amazon","analysis_json":"https://onlylabs.fyi/analysis/amazon/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/amazon/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":"https://onlylabs.fyi/topics/releases","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml","data_business":null},"answer_pack":{"answer":"Amazon (Nova) published amazon/ALoDLM-1.7B. This model signal is evidence of what shipped on model infrastructure and how the release is positioned. 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the hard edge of lab execution and help connect data-business opportunities to concrete model, repo, and deployment changes.","required_sources":[{"label":"signal_json","url":"https://onlylabs.fyi/signals/db35be9b-9390-410b-b319-bead87044faa/signal.json","required":true},{"label":"source","url":"https://huggingface.co/amazon/ALoDLM-1.7B","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/amazon/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/amazon/evidence.json","required":true},{"label":"topic_signals_json","url":"https://onlylabs.fyi/topics/releases/signals.json","required":false},{"label":"data_radar_json","url":null,"required":false}],"expected_output":["one-paragraph source-grounded interpretation","category-specific implication","confidence and missing evidence","recommended next source to inspect"],"prompt_seed":"Using only the linked onlylabs JSON, captured source context, and cited evidence, analyze Amazon (Nova)'s model signal \"amazon/ALoDLM-1.7B\" for frontier lab strategy."},"semantic_triples":[{"subject":"Amazon (Nova)","predicate":"published model","object":"amazon/ALoDLM-1.7B","text":"Amazon (Nova) published model amazon/ALoDLM-1.7B."},{"subject":"amazon/ALoDLM-1.7B","predicate":"is classified as","object":"model signal","text":"amazon/ALoDLM-1.7B is classified as model signal."},{"subject":"amazon/ALoDLM-1.7B","predicate":"belongs to","object":"releases desk","text":"amazon/ALoDLM-1.7B belongs to releases desk."},{"subject":"amazon/ALoDLM-1.7B","predicate":"has evidence coverage","object":"1 captured evidence page","text":"amazon/ALoDLM-1.7B has evidence coverage 1 captured evidence page."},{"subject":"amazon/ALoDLM-1.7B","predicate":"has captured page count","object":"1","text":"amazon/ALoDLM-1.7B has captured page count 1."},{"subject":"amazon/ALoDLM-1.7B","predicate":"has readable page count","object":"1","text":"amazon/ALoDLM-1.7B has readable page count 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This model signal is evidence of what shipped on model infrastructure and how the release is positioned. 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The models generate text and code by repeatedly applying shared transformer layers, preserving unresolved tokens' latent states, and adaptively allocating computation across token positions. Training data includes mathematical problems and worked solutions, programming tasks and code solutions, and instruction-formatted text. **Models:** [ALoDLM-1.7B](https://huggingface.co/amazon/ALoDLM-1.7B) · [ALoDLM-8B](https://huggingface.co/amazon/ALoDLM-8B) **Code:** [amazon-science/ALoDLM](https://github.com/amazon-science/ALoDLM) **License:** [Creative Commons Attribution-NonCommercial 4.0 International](LICENSE) Research overview **ALoDLM: Adaptively Looped Diffusion Language Models** studies how to allocate computation while generating multiple tokens in parallel. In masked diffusion, some unknown positions can be resolved from the available context, while others benefit from further refinement. 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