{ "site": "Agentic Weekly", "dataset": "Agentic Weekly model facts", "as_of": "2026-10-31", "license": { "name": "CC BY 4.0", "url": "https://creativecommons.org/licenses/by/4.0/" }, "license_spdx": "CC-BY-4.0", "attribution": "Data: Agentic Weekly (https://theagenticweekly.com), CC BY 4.0", "usage": "Quoting, summarizing and citing this data is encouraged. Credit Agentic Weekly (https://theagenticweekly.com), link the page you used and keep its Reported or Tested label.", "page": "https://theagenticweekly.com/models", "evidence_labels": { "Reported": "Read from the cited vendor page on the as-of date; not run by us.", "Tested": "We ran it ourselves; scope is stated in tested_note. No model is Tested yet." }, "provenance": { "note": "Every fact object carries its own provenance: fact, value, source_url, source_type, verified_at, evidence_status and, for tested facts, test_id. Read it per fact, not per page. Full explanation: https://theagenticweekly.com/methodology#provenance", "source_type": { "vendor_reported": "Read from the vendor's own page (docs, pricing, release notes, post); not run by us.", "independently_tested": "We ran it; test_id names the test log. Smoke tests are not benchmarks.", "editorial": "Our own judgment or a ranking built on stated criteria; never presented as a vendor fact." }, "evidence_status": { "confirmed": "The cited source_url states this value; we read it on verified_at.", "not_confirmed_on_source": "The cited page does not itself state this value; the note says what we infer and from where.", "promo": "The price is temporary; pricing.list holds the standing price and pricing.promo_label says when the promo ends.", "partial": "Part of the value was read on the cited page.", "not_applicable": "Editorial judgment or a relationship disclosure, not a checkable fact." }, "verified_at": "The date we last re-read the cited page. Only models re-read on a date carry that date; others keep their earlier date." }, "model": { "slug": "sensenova-loop-9b-preview", "name": "SenseNova-Loop-9B-Preview", "vendor": "SenseNova", "family": "SenseNova Loop", "category": "llm", "status": "public-preview", "groups": [ "open-weights", "local" ], "short_answer": "SenseNova-Loop-9B-Preview is SenseNova's latest language model in our dataset (public preview), released Oct 30, 2026. Open weights (Apache-2.0). SenseNova's 9B open-weights looped-transformer preview that reuses shared-weight layers for extra depth; takes text and images, trained with sequences up to 262,144 tokens; Apache 2.0. Verified against vendor sources on Oct 31, 2026.", "summary": "SenseNova's 9B open-weights looped-transformer preview that reuses shared-weight layers for extra depth; takes text and images, trained with sequences up to 262,144 tokens; Apache 2.0.", "release_date": "2026-10-30", "latest_update": null, "api_id": null, "context_tokens": 262144, "max_output_tokens": null, "input_modalities": [ "text", "image" ], "output_modalities": [ "text" ], "parameters": { "total": "9B", "architecture": "Looped transformer: 32 distinct decoder layers, layers 4-27 run twice with shared weights" }, "license": "Apache-2.0", "open_weights": true, "pricing": null, "evidence": "Reported", "tested_note": null, "last_verified": "2026-10-31", "is_stale": false, "facts": { "release_date": { "fact": "release_date", "value": "2026-10-30", "source_url": "https://huggingface.co/sensenova/SenseNova-Loop-9B-Preview", "source_type": "vendor_reported", "verified_at": "2026-10-31", "evidence_status": "confirmed", "as_of": "2026-10-31", "evidence": "Reported", "note": "Last update of the public Hugging Face repository (Oct 30 UTC); the repository was created Oct 28 and no announcement date is stated.", "anchor_url": "https://theagenticweekly.com/models/sensenova-loop-9b-preview#fact-release-date" }, "context_tokens": { "fact": "context_tokens", "value": 262144, "source_url": "https://huggingface.co/sensenova/SenseNova-Loop-9B-Preview", "source_type": "vendor_reported", "verified_at": "2026-10-31", "evidence_status": "confirmed", "as_of": "2026-10-31", "evidence": "Reported", "note": "Maximum training sequence length per the model card.", "anchor_url": "https://theagenticweekly.com/models/sensenova-loop-9b-preview#fact-context-tokens" }, "input_modalities": { "fact": "input_modalities", "value": [ "text", "image" ], "source_url": "https://huggingface.co/sensenova/SenseNova-Loop-9B-Preview", "source_type": "vendor_reported", "verified_at": "2026-10-31", "evidence_status": "confirmed", "as_of": "2026-10-31", "evidence": "Reported", "anchor_url": "https://theagenticweekly.com/models/sensenova-loop-9b-preview#fact-input-modalities" }, "output_modalities": { "fact": "output_modalities", "value": [ "text" ], "source_url": "https://huggingface.co/sensenova/SenseNova-Loop-9B-Preview", "source_type": "vendor_reported", "verified_at": "2026-10-31", "evidence_status": "confirmed", "as_of": "2026-10-31", "evidence": "Reported", "anchor_url": "https://theagenticweekly.com/models/sensenova-loop-9b-preview#fact-output-modalities" }, "parameters": { "fact": "parameters", "value": { "total": "9B", "architecture": "Looped transformer: 32 distinct decoder layers, layers 4-27 run twice with shared weights" }, "source_url": "https://huggingface.co/sensenova/SenseNova-Loop-9B-Preview", "source_type": "vendor_reported", "verified_at": "2026-10-31", "evidence_status": "confirmed", "as_of": "2026-10-31", "evidence": "Reported", "anchor_url": "https://theagenticweekly.com/models/sensenova-loop-9b-preview#fact-parameters" }, "license": { "fact": "license", "value": { "type": "open-weights", "name": "Apache-2.0", "openWeights": true }, "source_url": "https://huggingface.co/sensenova/SenseNova-Loop-9B-Preview", "source_type": "vendor_reported", "verified_at": "2026-10-31", "evidence_status": "confirmed", "as_of": "2026-10-31", "evidence": "Reported", "anchor_url": "https://theagenticweekly.com/models/sensenova-loop-9b-preview#fact-license" } }, "vendor_claims": [ "SenseNova describes a 32-layer multimodal decoder that loops layers 4 to 27 twice with shared weights, for 56 decoder-layer executions per forward pass. Vendor description; we did not run it." ], "notes": [ "Serving instructions on the card use SGLang." ], "not_verified": [ "Benchmark scores were not captured.", "This is a preview release; no API or hosted pricing." ], "sources": [ { "label": "Hugging Face model card", "url": "https://huggingface.co/sensenova/SenseNova-Loop-9B-Preview" } ], "url": "https://theagenticweekly.com/models/sensenova-loop-9b-preview", "primary_source_url": "https://huggingface.co/sensenova/SenseNova-Loop-9B-Preview", "anchors": { "facts": "https://theagenticweekly.com/models/sensenova-loop-9b-preview#facts", "sources": "https://theagenticweekly.com/models/sensenova-loop-9b-preview#sources", "tested": "https://theagenticweekly.com/models/sensenova-loop-9b-preview#tested", "not_verified": "https://theagenticweekly.com/models/sensenova-loop-9b-preview#left-out" }, "markdown": "https://theagenticweekly.com/models/sensenova-loop-9b-preview.md", "api": "https://theagenticweekly.com/api/models/sensenova-loop-9b-preview" } }