{"schema_version":"onlylabs.public_signal.v1","title":"Arcee AI Model: arcee-ai/AFM-4.5B-Base-KDA-NoPE","description":"Arcee AI model signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/b8d9abb6-e894-46ef-9a30-93ce6bcf43fc","json_url":"https://onlylabs.fyi/signals/b8d9abb6-e894-46ef-9a30-93ce6bcf43fc/signal.json","generated_at":"2026-06-11T02:49:48.353171+00:00","org":{"slug":"arcee","name":"Arcee AI","category":"neolab","category_label":"Neolab","dossier_url":"https://onlylabs.fyi/labs/arcee","dossier_json_url":"https://onlylabs.fyi/labs/arcee/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/b8d9abb6-e894-46ef-9a30-93ce6bcf43fc","signal_json":"https://onlylabs.fyi/signals/b8d9abb6-e894-46ef-9a30-93ce6bcf43fc/signal.json","source":"https://huggingface.co/arcee-ai/AFM-4.5B-Base-KDA-NoPE","lab_dossier":"https://onlylabs.fyi/labs/arcee","lab_dossier_json":"https://onlylabs.fyi/labs/arcee/dossier.json","analysis":"https://onlylabs.fyi/analysis/arcee","analysis_json":"https://onlylabs.fyi/analysis/arcee/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/arcee/evidence.json","category":"https://onlylabs.fyi/neolabs","category_json":"https://onlylabs.fyi/neolabs.json","category_feed":"https://onlylabs.fyi/neolabs/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neolab","topic":"https://onlylabs.fyi/topics/releases","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json?category=neolab","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml?category=neolab","data_business":null},"answer_pack":{"answer":"Arcee AI published arcee-ai/AFM-4.5B-Base-KDA-NoPE. 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High-signal details: license apache-2.0 · 11 HF downloads · Low traction, routine model release. onlylabs links this event to 1 captured evidence page and 6 related model signals.","signal_desk":"releases","source_context":{"source_url":"https://huggingface.co/arcee-ai/AFM-4.5B-Base-KDA-NoPE","source_host":"huggingface.co","occurred_at":"2025-12-14T21:35:17+00:00","first_seen_at":"2026-06-06T01:50:05.756622+00:00","date_source":"source","context":null},"context_markers":[{"label":"Lab","value":"Arcee AI","source":"signal"},{"label":"Signal desk","value":"releases","source":"signal"},{"label":"Source host","value":"huggingface.co","source":"source"},{"label":"Task","value":"image-feature-extraction","source":"model"},{"label":"License","value":"apache-2.0","source":"model"},{"label":"Library","value":"transformers","source":"model"},{"label":"Params","value":"5B","source":"model"},{"label":"Downloads","value":"11","source":"traction"},{"label":"Likes","value":"14","source":"traction"},{"label":"Notability","value":"Low traction, routine model release","source":"signal"},{"label":"Watch term","value":"Eval methodology","source":"evidence"},{"label":"Watch term","value":"Model card","source":"model"},{"label":"Watch term","value":"Data pipeline","source":"evidence"},{"label":"Watch term","value":"Infrastructure","source":"evidence"}],"evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://huggingface.co/arcee-ai/AFM-4.5B-Base-KDA-NoPE/raw/main/README.md"],"related_signals":6,"has_source_url":true,"latest_page_fetched_at":"2026-06-11T02:49:48.353171+00:00"},"data_business":{"matches":false,"lanes":[],"matched_terms":[],"score":null,"reason":null},"agent_handoff":{"signal_json":"https://onlylabs.fyi/signals/b8d9abb6-e894-46ef-9a30-93ce6bcf43fc/signal.json","dossier_json":"https://onlylabs.fyi/labs/arcee/dossier.json","analysis_json":"https://onlylabs.fyi/analysis/arcee/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/arcee/evidence.json","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json?category=neolab","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml?category=neolab","category_signals_json":"https://onlylabs.fyi/signals.json?category=neolab","data_radar_json":null,"opportunities_json":null},"analysis_playbook":{"objective":"Turn model cards, repository releases, and launch artifacts into a current view of what shipped and what changed.","evidence_focus":["model card","release note","version or tag","pipeline tag","license","downloads, likes, stars, and linked papers"],"extraction_questions":["What actually shipped, and through which public artifact?","Which releases include inspectable model, repo, paper, or package evidence?","Which launches create new eval, data, infra, or deployment needs?","Which shipped signals are missing captured page context?"],"signal_questions":["What shipped in this model artifact, and what evidence describes its capability, license, or traction?","What actually shipped, and through which public artifact?","Which releases include inspectable model, repo, paper, or package evidence?","Do the 6 related model signals show a repeated pattern?"],"output_fields":["org","release_type","artifact","traction","evidence_url"],"data_business_relevance":"Data-business lane extraction is scoped to frontier labs; for this category, keep conclusions tied to category-specific strategy, source evidence, and follow-up questions.","required_sources":[{"label":"signal_json","url":"https://onlylabs.fyi/signals/b8d9abb6-e894-46ef-9a30-93ce6bcf43fc/signal.json","required":true},{"label":"source","url":"https://huggingface.co/arcee-ai/AFM-4.5B-Base-KDA-NoPE","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/arcee/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/arcee/evidence.json","required":true},{"label":"topic_signals_json","url":"https://onlylabs.fyi/topics/releases/signals.json?category=neolab","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 Arcee AI's model signal \"arcee-ai/AFM-4.5B-Base-KDA-NoPE\" for neolab strategy."},"semantic_triples":[{"subject":"Arcee AI","predicate":"published model","object":"arcee-ai/AFM-4.5B-Base-KDA-NoPE","text":"Arcee AI published model arcee-ai/AFM-4.5B-Base-KDA-NoPE."},{"subject":"arcee-ai/AFM-4.5B-Base-KDA-NoPE","predicate":"is classified as","object":"model signal","text":"arcee-ai/AFM-4.5B-Base-KDA-NoPE is classified as model signal."},{"subject":"arcee-ai/AFM-4.5B-Base-KDA-NoPE","predicate":"belongs to","object":"releases desk","text":"arcee-ai/AFM-4.5B-Base-KDA-NoPE belongs to releases desk."},{"subject":"arcee-ai/AFM-4.5B-Base-KDA-NoPE","predicate":"has evidence coverage","object":"1 captured evidence page","text":"arcee-ai/AFM-4.5B-Base-KDA-NoPE has evidence coverage 1 captured evidence page."},{"subject":"arcee-ai/AFM-4.5B-Base-KDA-NoPE","predicate":"has captured page count","object":"1","text":"arcee-ai/AFM-4.5B-Base-KDA-NoPE has captured page count 1."},{"subject":"arcee-ai/AFM-4.5B-Base-KDA-NoPE","predicate":"has readable page count","object":"1","text":"arcee-ai/AFM-4.5B-Base-KDA-NoPE has readable page count 1."},{"subject":"arcee-ai/AFM-4.5B-Base-KDA-NoPE","predicate":"has related signal count","object":"6","text":"arcee-ai/AFM-4.5B-Base-KDA-NoPE has related signal count 6."},{"subject":"arcee-ai/AFM-4.5B-Base-KDA-NoPE","predicate":"has analysis playbook objective","object":"Turn model cards, repository releases, and launch artifacts into a current view of what shipped and what changed.","text":"arcee-ai/AFM-4.5B-Base-KDA-NoPE has analysis playbook objective Turn model cards, repository releases, and launch artifacts into a current view of what shipped and what changed.."},{"subject":"arcee-ai/AFM-4.5B-Base-KDA-NoPE","predicate":"has source host","object":"huggingface.co","text":"arcee-ai/AFM-4.5B-Base-KDA-NoPE has source host huggingface.co."},{"subject":"arcee-ai/AFM-4.5B-Base-KDA-NoPE","predicate":"has lab","object":"Arcee AI","text":"arcee-ai/AFM-4.5B-Base-KDA-NoPE has lab Arcee AI."},{"subject":"arcee-ai/AFM-4.5B-Base-KDA-NoPE","predicate":"has signal desk","object":"releases","text":"arcee-ai/AFM-4.5B-Base-KDA-NoPE has signal desk releases."},{"subject":"arcee-ai/AFM-4.5B-Base-KDA-NoPE","predicate":"has source host","object":"huggingface.co","text":"arcee-ai/AFM-4.5B-Base-KDA-NoPE has source host huggingface.co."},{"subject":"arcee-ai/AFM-4.5B-Base-KDA-NoPE","predicate":"has task","object":"image-feature-extraction","text":"arcee-ai/AFM-4.5B-Base-KDA-NoPE has task image-feature-extraction."},{"subject":"arcee-ai/AFM-4.5B-Base-KDA-NoPE","predicate":"has license","object":"apache-2.0","text":"arcee-ai/AFM-4.5B-Base-KDA-NoPE has license apache-2.0."},{"subject":"arcee-ai/AFM-4.5B-Base-KDA-NoPE","predicate":"has library","object":"transformers","text":"arcee-ai/AFM-4.5B-Base-KDA-NoPE has library transformers."},{"subject":"arcee-ai/AFM-4.5B-Base-KDA-NoPE","predicate":"has params","object":"5B","text":"arcee-ai/AFM-4.5B-Base-KDA-NoPE has params 5B."},{"subject":"arcee-ai/AFM-4.5B-Base-KDA-NoPE","predicate":"has downloads","object":"11","text":"arcee-ai/AFM-4.5B-Base-KDA-NoPE has downloads 11."}]},"intelligence":{"signal_desk":"releases","answer":"Arcee AI published arcee-ai/AFM-4.5B-Base-KDA-NoPE. This model signal is evidence of what shipped on model infrastructure and how the release is positioned. High-signal details: license apache-2.0 · 11 HF downloads · Low traction, routine model release. onlylabs links this event to 1 captured evidence page and 6 related model signals.","semantic_triples":[{"subject":"Arcee AI","predicate":"published model","object":"arcee-ai/AFM-4.5B-Base-KDA-NoPE","text":"Arcee AI published model arcee-ai/AFM-4.5B-Base-KDA-NoPE."},{"subject":"arcee-ai/AFM-4.5B-Base-KDA-NoPE","predicate":"is classified as","object":"model signal","text":"arcee-ai/AFM-4.5B-Base-KDA-NoPE is classified as model signal."},{"subject":"arcee-ai/AFM-4.5B-Base-KDA-NoPE","predicate":"belongs to","object":"releases desk","text":"arcee-ai/AFM-4.5B-Base-KDA-NoPE belongs to releases desk."},{"subject":"arcee-ai/AFM-4.5B-Base-KDA-NoPE","predicate":"has evidence coverage","object":"1 captured evidence page","text":"arcee-ai/AFM-4.5B-Base-KDA-NoPE has evidence coverage 1 captured evidence page."}]},"signal":{"id":"b8d9abb6-e894-46ef-9a30-93ce6bcf43fc","url":"https://onlylabs.fyi/signals/b8d9abb6-e894-46ef-9a30-93ce6bcf43fc","json_url":"https://onlylabs.fyi/signals/b8d9abb6-e894-46ef-9a30-93ce6bcf43fc/signal.json","source_url":"https://huggingface.co/arcee-ai/AFM-4.5B-Base-KDA-NoPE","title":"arcee-ai/AFM-4.5B-Base-KDA-NoPE","summary":"Arcee AI published a model signal. onlylabs watches model cards, launch context, and traction.","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2025-12-14T21:35:17+00:00","first_seen_at":"2026-06-06T01:50:05.756622+00:00","date_source":"source","evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://huggingface.co/arcee-ai/AFM-4.5B-Base-KDA-NoPE/raw/main/README.md"]},"facets":{"pipeline_tag":"image-feature-extraction","license":"apache-2.0"},"traction":{"github_stars":null,"hn_points":null,"hn_comments":null,"hn_story_id":null,"hf_downloads":11,"hf_likes":14},"data_radar":null},"primary_evidence_page":{"url":"https://huggingface.co/arcee-ai/AFM-4.5B-Base-KDA-NoPE/raw/main/README.md","final_url":"https://huggingface.co/arcee-ai/AFM-4.5B-Base-KDA-NoPE/raw/main/README.md","title":"arcee-ai/AFM-4.5B-Base-KDA-NoPE model card","http_status":200,"content_type":"text/plain; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T02:49:48.353171+00:00","bytes":4503,"raw_path":"7c77c5f43e5fa8362e78e7cec583734d177faa8e7a61635f27b8c4e1b032eafb.md","content_hash":"e768b2001240f8a87a11ec61717c378e5b34ec74e9c88e0f53118dc74acb2728","excerpt_chars":1200,"truncated":true,"excerpt":"--- license: apache-2.0 language: - en library_name: transformers base_model: - arcee-ai/AFM-4.5B-Base tags: - kda - kimi-delta-attention - linear-attention - nope - hybrid-attention - distillation - research --- AFM-4.5B-Base-KDA-NoPE A hybrid attention variant of [AFM-4.5B-Base](https://huggingface.co/arcee-ai/AFM-4.5B-Base) combining Kimi Delta Attention (KDA) with NoPE (No Positional Encoding) full-attention layers in a 3:1 ratio. This architecture balances efficiency with performance through knowledge distillation. > ⚠️ **Research Model**: This is an experimental model released for research purposes. For production use, see [AFM-4.5B](https://huggingface.co/arcee-ai/AFM-4.5B). More details available in our blog post here: https://www.arcee.ai/blog/distilling-kimi-delta-attention-into-afm-4-5b-and-the-tool-we-used-to-do-it Overview Following the Kimi Linear architecture pattern, this model interleaves KDA layers with periodic full-attention layers (using NoPE) in a 3:1 ratio. This hybrid structure reduces memory and KV-cache usage while preserving global information flow via the full attention layers. **Key characteristics:** - 3:1 KDA to full-attention ratio - Full attention..."},"evidence_pages":[{"url":"https://huggingface.co/arcee-ai/AFM-4.5B-Base-KDA-NoPE/raw/main/README.md","final_url":"https://huggingface.co/arcee-ai/AFM-4.5B-Base-KDA-NoPE/raw/main/README.md","title":"arcee-ai/AFM-4.5B-Base-KDA-NoPE model card","http_status":200,"content_type":"text/plain; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T02:49:48.353171+00:00","bytes":4503,"raw_path":"7c77c5f43e5fa8362e78e7cec583734d177faa8e7a61635f27b8c4e1b032eafb.md","content_hash":"e768b2001240f8a87a11ec61717c378e5b34ec74e9c88e0f53118dc74acb2728","excerpt_chars":1200,"truncated":true,"excerpt":"--- license: apache-2.0 language: - en library_name: transformers base_model: - arcee-ai/AFM-4.5B-Base tags: - kda - kimi-delta-attention - linear-attention - nope - hybrid-attention - distillation - research --- AFM-4.5B-Base-KDA-NoPE A hybrid attention variant of [AFM-4.5B-Base](https://huggingface.co/arcee-ai/AFM-4.5B-Base) combining Kimi Delta Attention (KDA) with NoPE (No Positional Encoding) full-attention layers in a 3:1 ratio. This architecture balances efficiency with performance through knowledge distillation. > ⚠️ **Research Model**: This is an experimental model released for research purposes. For production use, see [AFM-4.5B](https://huggingface.co/arcee-ai/AFM-4.5B). More details available in our blog post here: https://www.arcee.ai/blog/distilling-kimi-delta-attention-into-afm-4-5b-and-the-tool-we-used-to-do-it Overview Following the Kimi Linear architecture pattern, this model interleaves KDA layers with periodic full-attention layers (using NoPE) in a 3:1 ratio. 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