{"schema_version":"onlylabs.public_signal.v1","title":"Arcee AI Model: arcee-ai/AFM-4.5B-Base-KDA-Only","description":"Arcee AI model signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/854622d8-0334-40e4-8706-9c1a05e69792","json_url":"https://onlylabs.fyi/signals/854622d8-0334-40e4-8706-9c1a05e69792/signal.json","generated_at":"2026-06-11T02:49:48.348531+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/854622d8-0334-40e4-8706-9c1a05e69792","signal_json":"https://onlylabs.fyi/signals/854622d8-0334-40e4-8706-9c1a05e69792/signal.json","source":"https://huggingface.co/arcee-ai/AFM-4.5B-Base-KDA-Only","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-Only. 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This model contains **no full-attention layers**. > ⚠️ **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 This model explores whether full attention can be completely replaced with linear attention mechanisms. Using [DistillKit](https://github.com/arcee-ai/DistillKit), we distilled the original AFM-4.5B-Base (teacher) into a pure-KDA architecture (student). **Key characteristics:** - All 24 layers use KDA instead of full attention - Trained up to 32k sequence length - Linear memory scaling with sequence length - Smoother..."},"evidence_pages":[{"url":"https://huggingface.co/arcee-ai/AFM-4.5B-Base-KDA-Only/raw/main/README.md","final_url":"https://huggingface.co/arcee-ai/AFM-4.5B-Base-KDA-Only/raw/main/README.md","title":"arcee-ai/AFM-4.5B-Base-KDA-Only model card","http_status":200,"content_type":"text/plain; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T02:49:48.348531+00:00","bytes":4091,"raw_path":"3005931e1167bd8596fba0052a9bd62e0c9eab18dac261bd0c4e78549ccd0989.md","content_hash":"6abe1231601bd926088884b8daa66786e84aef6d799eb8bdd915f13037e5ec2b","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 - distillation - research --- AFM-4.5B-Base-KDA-Only A research variant of [AFM-4.5B-Base](https://huggingface.co/arcee-ai/AFM-4.5B-Base) where all attention layers have been replaced with Kimi Delta Attention (KDA) through knowledge distillation. This model contains **no full-attention layers**. > ⚠️ **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 This model explores whether full attention can be completely replaced with linear attention mechanisms. 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