{ "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-11", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "tool": { "slug": "sensenova-loop-9b-preview", "name": "SenseNova-Loop-9B-Preview", "vendor": "SenseTime (SenseNova)", "vendorUrl": "https://www.sensetime.com/en", "kind": "weights", "category": "open-weights", "summary": "SenseNova-Loop-9B-Preview is SenseTime's open-weight multimodal model of about 9B parameters. It runs 24 of its 32 decoder layers twice, with text and images in, tool calling, a thinking switch and a 256K context. Apache 2.0. No released runtime loads it.", "url": "https://www.anchorterminal.com/tools/sensenova-loop-9b-preview", "markdownUrl": "https://www.anchorterminal.com/tools/sensenova-loop-9b-preview.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/sensenova-loop-9b-preview.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/sensenova-loop-9b-preview.json", "dns": "sensenova-loop-9b-preview.grade.anchorterminal.com", "repo": "https://huggingface.co/sensenova/SenseNova-Loop-9B-Preview", "license": "Apache-2.0", "transports": [], "packages": [ { "registry": "huggingface", "name": "sensenova/SenseNova-Loop-9B-Preview" } ], "auth": "none", "authNotes": "The weights download from Hugging Face with no account, token or terms to accept. The repository is not gated (checked 2026-11-10).", "pricing": "free", "pricingNotes": "Free to download and use under Apache 2.0. Running it yourself costs the hardware: the files are 38.1 GB because most weights are stored in 32-bit floats, and the card's example loads them as BF16 (checked 2026-11-10).", "priceSummary": "Free", "where": "local", "x402": { "level": "no", "evidence": "Weights you download and run yourself, so there is nothing to pay per call and no payment protocol (checked 2026-11-10).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-10" }, "docsUrl": "https://github.com/OpenSenseNova/SenseNova-Loop", "capabilities": [ "model.open-weights" ], "tags": [ "open-weights", "model", "multimodal", "vision", "looped-transformer", "tool-calling", "reasoning", "long-context", "preview", "apache-2.0", "safetensors", "custom-code", "self-hosted" ], "lastRelease": "2026-11-02", "graded": true, "anchor": { "graded": true, "score": 46.8, "grade": "D", "agentReady": false, "rank": 0, "ranked": false, "notRankedWhy": "An open-weight model, graded by the open-weight checklist and ranked among open-weight models, not against tools", "rankOf": 1518, "categoryRank": 110, "methodology": "0.7", "run": "2026-10-01", "scores": { "interface": 60, "reach": 40, "risk": 50, "upkeep": 44 }, "pending": [ "performance", "tasks" ], "breakdown": [ { "key": "capability", "name": "Capability", "weight": 35, "effectiveWeight": 0, "pending": true, "points": 0, "reason": "Pending for this listing. Nobody independent has published results for it in at least two areas yet, so its weight is shared across the other four and the total is capped at 61 until they do or our own runs start." }, { "key": "reach", "name": "Reach", "weight": 25, "effectiveWeight": 38.46, "score": 40, "points": 15.38, "reason": "Memory 15, the only build is the safetensors set, 38.14 GB with its MTP head, since the Hub counts 9.41B of its parameters in F32. Runtimes 0, none of the six runs it in a released version. Builds 0, SenseNova publishes one set of weights and no quantised build. Terms 15, Apache 2.0 in the card's metadata and on the card, which links the LICENSE in the GitHub repository, and nothing added. Download 10, the Hub API reports gated false on 10 November 2026, so the files download with no account and nothing to accept. Hosted 0, Hugging Face maps no inference provider to it, and the card names no API that serves it. 15 + 0 + 0 + 15 + 10 + 0 = 40.", "checked": "2026-11-10" }, { "key": "risk", "name": "Risk", "weight": 20, "effectiveWeight": 30.77, "score": 50, "points": 15.38, "reason": "File safety 15, safetensors only, no .bin, .pt or .pth files (25). Provenance 15, the files sit in the sensenova organisation, which the GitHub repository for the model links to (10), and the Hub gives a SHA-256 for the large files (5). Safety evaluation 0, no safety results on the card. Agent guidance 0, the card has no limitations or safety section, and nothing on instructions inside tool results or images. Licence risk 15, Apache 2.0 with no use policy, no threshold and no right to change the terms. Security programme 5, SenseTime's about page gives a security contact (5). 15 + 15 + 0 + 0 + 15 + 5 = 50.", "checked": "2026-11-10" }, { "key": "interface", "name": "Agent interface", "weight": 10, "effectiveWeight": 15.38, "score": 60, "points": 9.23, "reason": "Chat template 20, chat_template.jinja in the repository (7,756 characters). Tool-calling format 10, only the template says it: a tools block, and calls written as tool_call blocks with function and parameter tags. Trained tool calling 10, the card says the training recipes include tool trajectories and that the model is for agentic workflows. Structured output 0, Nothing on the card about JSON or schema-constrained output. Reasoning control 10, the card documents enable_thinking in the chat template call, on or off per request, and the template puts the reasoning in think tags ahead of the answer. Context 10, 262,144 tokens in training, per the card's specification table, and config.json gives the language model 262,144 positions. 20 + 10 + 10 + 0 + 10 + 10 = 60.", "checked": "2026-11-10" }, { "key": "upkeep", "name": "Documentation and upkeep", "weight": 10, "effectiveWeight": 15.38, "score": 44, "points": 6.77, "reason": "Model card 14, Intended use, the architecture, the parameter counts, the training context and the languages (in the metadata) are on the card. Training data 5, one general sentence on the recipes, with no sources, sizes or cut-off. Last change 20, the last commit, on 2 November 2026, reworked the speculative decoding section of the card, 8 days before this check. Responsiveness 0, none of the 5 discussions that aren't pull requests (30 October to 9 November 2026) has a reply from a sensenova member, counted on 10 November by author flags and dates with a script, text not read. Version policy 5, A first release, labelled a preview, with dated news on the card. File health 0, the files contradict the card on precision. 14 + 5 + 20 + 0 + 5 + 0 = 44.", "checked": "2026-11-10" } ], "assessment": { "date": "2026-11-10", "basis": "public evidence", "confidence": "low", "notes": { "capability": "Pending for this listing. Independent results were found in 0 areas (none), and Capability needs 2. Its weight is shared across the other four categories and the total is capped at 61 until there are more, or our own runs start.", "interface": "Chat template 20, chat_template.jinja in the repository (7,756 characters). Tool-calling format 10, only the template says it: a tools block, and calls written as tool_call blocks with function and parameter tags. Trained tool calling 10, the card says the training recipes include tool trajectories and that the model is for agentic workflows. Structured output 0, Nothing on the card about JSON or schema-constrained output. Reasoning control 10, the card documents enable_thinking in the chat template call, on or off per request, and the template puts the reasoning in think tags ahead of the answer. Context 10, 262,144 tokens in training, per the card's specification table, and config.json gives the language model 262,144 positions. 20 + 10 + 10 + 0 + 10 + 10 = 60.", "reach": "Memory 15, the only build is the safetensors set, 38.14 GB with its MTP head, since the Hub counts 9.41B of its parameters in F32. Runtimes 0, none of the six runs it in a released version. Builds 0, SenseNova publishes one set of weights and no quantised build. Terms 15, Apache 2.0 in the card's metadata and on the card, which links the LICENSE in the GitHub repository, and nothing added. Download 10, the Hub API reports gated false on 10 November 2026, so the files download with no account and nothing to accept. Hosted 0, Hugging Face maps no inference provider to it, and the card names no API that serves it. 15 + 0 + 0 + 15 + 10 + 0 = 40.", "risk": "File safety 15, safetensors only, no .bin, .pt or .pth files (25). Provenance 15, the files sit in the sensenova organisation, which the GitHub repository for the model links to (10), and the Hub gives a SHA-256 for the large files (5). Safety evaluation 0, no safety results on the card. Agent guidance 0, the card has no limitations or safety section, and nothing on instructions inside tool results or images. Licence risk 15, Apache 2.0 with no use policy, no threshold and no right to change the terms. Security programme 5, SenseTime's about page gives a security contact (5). 15 + 15 + 0 + 0 + 15 + 5 = 50.", "upkeep": "Model card 14, Intended use, the architecture, the parameter counts, the training context and the languages (in the metadata) are on the card. Training data 5, one general sentence on the recipes, with no sources, sizes or cut-off. Last change 20, the last commit, on 2 November 2026, reworked the speculative decoding section of the card, 8 days before this check. Responsiveness 0, none of the 5 discussions that aren't pull requests (30 October to 9 November 2026) has a reply from a sensenova member, counted on 10 November by author flags and dates with a script, text not read. Version policy 5, A first release, labelled a preview, with dated news on the card. File health 0, the files contradict the card on precision. 14 + 5 + 20 + 0 + 5 + 0 = 44." }, "sources": [ { "what": "model card", "url": "https://huggingface.co/sensenova/SenseNova-Loop-9B-Preview", "seen": "2026-11-10" }, { "what": "gating, dates, parameter count by precision, downloads, likes, file list and hashes", "url": "https://huggingface.co/api/models/sensenova/SenseNova-Loop-9B-Preview?blobs=true", "seen": "2026-11-10" }, { "what": "inference providers, none mapped", "url": "https://huggingface.co/api/models/sensenova/SenseNova-Loop-9B-Preview?expand[]=inferenceProviderMapping", "seen": "2026-11-10" }, { "what": "commit history", "url": "https://huggingface.co/api/models/sensenova/SenseNova-Loop-9B-Preview/commits/main", "seen": "2026-11-10" }, { "what": "architecture and positions", "url": "https://huggingface.co/sensenova/SenseNova-Loop-9B-Preview/raw/main/config.json", "seen": "2026-11-10" }, { "what": "chat template", "url": "https://huggingface.co/sensenova/SenseNova-Loop-9B-Preview/raw/main/chat_template.jinja", "seen": "2026-11-10" }, { "what": "discussions, replies counted by script from authors, dates and member flags", "url": "https://huggingface.co/api/models/sensenova/SenseNova-Loop-9B-Preview/discussions", "seen": "2026-11-10" }, { "what": "the GitHub repository's README", "url": "https://raw.githubusercontent.com/OpenSenseNova/SenseNova-Loop/main/README.md", "seen": "2026-11-10" }, { "what": "the GitHub repository's LICENSE, Apache 2.0", "url": "https://raw.githubusercontent.com/OpenSenseNova/SenseNova-Loop/main/LICENSE", "seen": "2026-11-10" }, { "what": "the organisation's profile on the Hub, not marked verified", "url": "https://huggingface.co/api/organizations/sensenova/overview", "seen": "2026-11-10" }, { "what": "the organisation's other repositories", "url": "https://huggingface.co/api/models?author=sensenova", "seen": "2026-11-10" }, { "what": "robots.txt for www.sensetime.com", "url": "https://www.sensetime.com/robots.txt", "seen": "2026-11-10" }, { "what": "SenseTime's home page, which presents SenseNova as its model series", "url": "https://www.sensetime.com/en", "seen": "2026-11-10" }, { "what": "SenseTime's about page: founded 2014, listed in Hong Kong, a security contact", "url": "https://www.sensetime.com/en/about/", "seen": "2026-11-10" }, { "what": "SenseTime's investor page: 00020 on HKEX, and its directors", "url": "https://www.sensetime.com/en/investor/", "seen": "2026-11-10" }, { "what": "security.txt, 404", "url": "https://www.sensetime.com/.well-known/security.txt", "seen": "2026-11-10" }, { "what": "robots.txt for platform.sensenova.cn, which disallows everything, so nothing there was read", "url": "https://platform.sensenova.cn/robots.txt", "seen": "2026-11-10" }, { "what": "vLLM v0.33.0 registry, no sensenova_loop", "url": "https://raw.githubusercontent.com/vllm-project/vllm/v0.33.0/vllm/model_executor/models/registry.py", "seen": "2026-11-10" }, { "what": "SGLang v0.5.23, Transformers v5.22.2 and llama.cpp b12242, searched in shallow clones, no sensenova_loop", "url": "https://github.com/sgl-project/sglang/tree/v0.5.23/python/sglang/srt/models", "seen": "2026-11-10" } ], "openQuestions": [ "File health is 0 because the card says BF16 and the files are mostly F32. If SenseNova re-exports or corrects the card, the line moves to 10", "Memory reads the 38.14 GB on disk. Loaded as BF16 it would sit in the 24 GB band", "Runtimes is 0 with Transformers not credited, since it needs the repository's code, as LFM3 was read. A reading that credits Transformers gives 5", "The tie from SenseNova to SenseTime rests on SenseTime's site, which presents SenseNova as its model series. Neither the card nor the Hub organisation names SenseTime", "Capability is pending because no independent results were looked up on the day", "unchecked on 10 November: the repository's model code, the two pull requests, LightLLM, the training guides, GitHub issues, README_CN.md, and SenseNova's hosted platform, whose robots.txt disallows reading" ] }, "negative": 0, "verdict": "An unusual architecture under Apache 2.0, with a 256K training context, a thinking switch and tool calling in the template. It's a preview in practice too: no released runtime runs it, loading it runs the repository's code, the files are twice the size the card implies, and nobody from SenseNova has answered a question yet.", "bestFor": "Researchers who want to study or fine-tune a looped transformer, more than agents that need a model to call today", "strengths": [ "Apache 2.0, ungated", "A 256K training context, stated on the card", "Thinking can be switched per request", "The architecture and parameter counts are documented", "Changed in the last ten days" ], "weaknesses": [ "No released runtime runs it. vLLM and SGLang need unmerged pull requests", "Loading it runs Python from the repository", "The files are 38.1 GB, mostly F32, though the card says BF16", "No quantised build", "No tool-calling documentation beyond the template", "No limitations, safety results or data sources, and the technical report isn't out", "None of 5 questions answered" ], "agentNotes": [ "Read modeling_sensenova_loop.py before you load it. trust_remote_code runs it", "Pin transformers 5.18.0, the version the card checked", "Load with dtype=torch.bfloat16 as the card does, or the 38 GB of F32 weights stay at full size", "Pass enable_thinking=False to apply_chat_template for a direct answer", "Tool calls come back as tool_call blocks with function and parameter tags. Parse them yourself, since no runtime ships a parser", "Wait for the vLLM or SGLang pull request to land in a release before putting it behind an API" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "low", "grade": "D", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 46.8 } ], "editorialScores": { "interface": 60, "reach": 40, "risk": 50, "upkeep": 44 }, "provenanceScore": 51, "checked": { "categories": { "interface": "2026-11-10", "reach": "2026-11-10", "risk": "2026-11-10", "upkeep": "2026-11-10" }, "last": "2026-11-10", "oldest": "2026-11-10", "stale": false, "staleAfterDays": 90 }, "scoreHistory": [ { "date": "2026-11-10", "grade": "D", "kind": "listed", "method": "0.7", "score": 46.8 } ] }, "connect": { "install": "pip install \"transformers==5.18.0\" accelerate safetensors\n# then AutoModelForCausalLM.from_pretrained(\"sensenova/SenseNova-Loop-9B-Preview\", trust_remote_code=True, dtype=torch.bfloat16)\n# trust_remote_code runs modeling_sensenova_loop.py from the repository. Read it first", "http": "# No released server runs it. The card's vLLM and SGLang commands build from open pull requests,\n# and its LightLLM example serves an OpenAI-compatible API at http://localhost:8000/v1 on four GPUs" }, "letme": { "capability": "https://letme.dev/model.open-weights", "tool": "https://letme.dev/sensenova-loop-9b-preview" }, "weights": { "trainedBy": "SenseTime (SenseNova)", "params": "9B", "context": 262144, "goodFor": "Trying a looped transformer for long-context, tool-using work, if you can run the repository's own code on a large GPU.", "runtimes": [], "builds": [ { "name": "SenseNova-Loop-9B-Preview (safetensors, mostly F32)", "url": "https://huggingface.co/sensenova/SenseNova-Loop-9B-Preview/tree/main", "who": "publisher", "precision": "f32", "sizeGB": 38.14, "memoryGB": 48, "format": "safetensors", "note": "Eight shards and the MTP head. Stored mostly as 32-bit floats; the card's example loads it as BF16, about half the size in memory" } ], "run": "python -c \"from transformers import AutoModelForCausalLM; AutoModelForCausalLM.from_pretrained('sensenova/SenseNova-Loop-9B-Preview', trust_remote_code=True)\"", "runBuild": "SenseNova-Loop-9B-Preview (safetensors, mostly F32)", "checked": "2026-11-10", "minMemoryGB": 48 }, "family": { "lab": "SenseTime (SenseNova)", "family": "SenseNova-Loop", "url": "https://www.anchorterminal.com/open-weights/#sensenova" }, "notable": [ "4,008 downloads in the last 30 days and 287 likes on Hugging Face on 10 November 2026, 13 days after the repository was created (https://huggingface.co/api/models/sensenova/SenseNova-Loop-9B-Preview)", "A looped decoder: layers 4 to 27 run twice with shared weights, so 32 stored layers do 56 layer computations a pass, which the card counts as about 14.6B parameters at inference (https://huggingface.co/sensenova/SenseNova-Loop-9B-Preview)", "No released runtime runs it. Transformers needs trust_remote_code for the repository's own model code, and the card's vLLM and SGLang instructions check out open pull requests (https://huggingface.co/sensenova/SenseNova-Loop-9B-Preview)", "The card says the export is a BF16 backbone with FP32 routing parameters, while the Hub counts 9.41B parameters in F32 and 0.24B in BF16, and the files total 38.1 GB (https://huggingface.co/api/models/sensenova/SenseNova-Loop-9B-Preview?blobs=true)", "The card's Transformers implementation and technical report are both marked to be announced (https://huggingface.co/sensenova/SenseNova-Loop-9B-Preview)", "None of the 5 discussions on the repository has a reply from a SenseNova member (https://huggingface.co/api/models/sensenova/SenseNova-Loop-9B-Preview/discussions)" ], "area": "models", "details": [ { "label": "Surface graded", "value": "The open weights at huggingface.co/sensenova/SenseNova-Loop-9B-Preview, read from the model card, the files and their metadata, the config, the chat template, the commit history, the README and LICENSE of the GitHub repository and the runtimes' own code at their latest releases on 10 November 2026. Who SenseNova is comes from SenseTime's home, about and investor pages. The repository's model code, the training guides and the two pull requests weren't read. Nothing was downloaded or run" }, { "label": "Model", "value": "9,656,250,480 parameters in the files. The card says about 9B in total and about 14.6B at inference, since layers 4 to 27 of its 32 decoder layers run twice with shared weights. SenseNovaLoopForConditionalGeneration, with linear and full attention interleaved and two residual streams in the looped section. The config's text and vision parts carry Qwen 3.5's type names" }, { "label": "Files", "value": "Eight safetensors shards (37.65 GB) and mtp.safetensors (0.49 GB) for multi-token prediction, chat_template.jinja, config, processor and tokenizer files, and modeling_sensenova_loop.py, the model's own code. No pickle files. Hugging Face lists a SHA-256 for the large files" }, { "label": "Licence", "value": "Apache 2.0 in the card's metadata, and the card links the LICENSE in the GitHub repository. The model repository has no LICENSE file of its own" }, { "label": "Runtimes", "value": "Transformers 5.18.0 with trust_remote_code, per the card. vLLM and SGLang only from open pull requests (vLLM 64832, SGLang 47281), and LightLLM, a server from ModelTC, on four GPUs. Released vLLM 0.33.0, SGLang 0.5.23, Transformers 5.22.2 and llama.cpp b12242 have no sensenova_loop code" }, { "label": "Context", "value": "Up to 262,144 tokens in training, per the card's specification table" }, { "label": "Hardware", "value": "No memory figure on the card. Its Transformers example uses one GPU, and its vLLM and LightLLM examples four" }, { "label": "Training data", "value": "One sentence: the documented recipes combine long sequences, multimodal inputs and supervised task trajectories. No sources, sizes or cut-off, and the technical report is marked TBD" }, { "label": "Languages", "value": "English and Chinese, per the card's metadata" }, { "label": "Tool calling", "value": "The chat template carries a tools block and writes calls as tool_call blocks with function and parameter tags. The card says the training recipes include tool trajectories and gives no tool-calling example or parser" }, { "label": "Reasoning", "value": "A thinking mode set with enable_thinking in the chat template call, off in the card's example. The template wraps reasoning in think tags" }, { "label": "Recommended settings", "value": "The card's example uses greedy decoding. generation_config.json sets temperature 1.0 and top_p 0.95" } ], "provenance": { "legalEntity": "SenseTime, listed on the Stock Exchange of Hong Kong (00020) per its investor page. SenseNova is its foundation model series, per its site", "domain": "sensetime.com", "domainRegistered": "", "endpointOnVendorDomain": null, "terms": "https://github.com/OpenSenseNova/SenseNova-Loop/blob/main/LICENSE", "privacy": "", "statusPage": "", "changelog": "https://huggingface.co/sensenova/SenseNova-Loop-9B-Preview/commits/main", "securityTxt": "none", "checked": "2026-11-10", "notes": [ "The card names SenseNova only. SenseTime's site presents SenseNova as its foundation model series, and that is the tie between the two; the site wasn't read for a link to this repository.", "The domain's registration date wasn't looked up.", "Nothing is hosted under this listing, so Apache 2.0 stands in for terms of service and no privacy policy is scored.", "www.sensetime.com has no security.txt (404 on 10 November 2026). Its about page gives a security contact.", "The changelog is the commit history, 39 commits from 28 October to 2 November 2026." ], "score": 51, "checks": [ { "check": "Legal entity named", "value": "SenseTime, listed on the Stock Exchange of Hong Kong (00020) per its investor page. SenseNova is its foundation model series, per its site", "points": 20, "max": 20, "state": "ok" }, { "check": "Domain age", "value": "sensetime.com, no registry record we could read", "points": 0, "max": 15, "state": "no" }, { "check": "Endpoint on the vendor's domain", "value": "no hosted endpoint", "points": 0, "max": 0, "state": "na" }, { "check": "Terms of service", "value": "published, not read by us yet", "points": 4, "max": 10, "state": "part" }, { "check": "Privacy policy", "value": "nothing hosted, not scored", "points": 0, "max": 0, "state": "na" }, { "check": "Status page", "value": "not found", "points": 0, "max": 10, "state": "no" }, { "check": "Changelog", "value": "published", "points": 10, "max": 10, "state": "ok" }, { "check": "security.txt", "value": "not found", "points": 0, "max": 10, "state": "no" }, { "check": "People named", "value": "2 named with their role, none with a public profile", "points": 7, "max": 10, "state": "part" }, { "check": "Support route", "value": "help pages, a community", "points": 5, "max": 5, "state": "ok" } ] }, "humans": { "slug": "sensenova-loop-9b-preview", "checked": "2026-11-10", "company": "SenseTime", "people": [ { "name": "Xu Li", "role": "Co-founder, Executive Chairman, Executive Director and CEO of SenseTime", "founder": true, "page": "/people/xu-li/" }, { "name": "Wang Xiaogang", "role": "Co-founder, Executive Director, CTO and Executive Vice President of SenseTime", "founder": true, "page": "/people/wang-xiaogang/" } ], "peopleNote": "SenseTime's investor page, read 10 November 2026, lists Xu Li and Wang Xiaogang with these titles. The model card credits SenseNova and names no people. SenseTime's about page says it was founded in 2014 and is listed on the Stock Exchange of Hong Kong, so no investors are listed.", "companySocial": { "github": "https://github.com/OpenSenseNova" }, "support": { "urls": [ "https://github.com/OpenSenseNova/SenseNova-Loop" ], "community": [ { "label": "Hugging Face discussions", "url": "https://huggingface.co/sensenova/SenseNova-Loop-9B-Preview/discussions", "kind": "forum" } ] }, "sources": [ "https://huggingface.co/sensenova/SenseNova-Loop-9B-Preview", "https://github.com/OpenSenseNova/SenseNova-Loop", "https://www.sensetime.com/en", "https://www.sensetime.com/en/about/", "https://www.sensetime.com/en/investor/" ], "ownership": { "status": "public", "checked": "2026-11-10", "sources": [ "https://www.sensetime.com/en/investor/", "https://www.sensetime.com/en/about/" ] } }, "pageJsonUrl": "https://www.anchorterminal.com/tools/sensenova-loop-9b-preview.json" } }