{"schema_version":"onlylabs.public_signal.v1","title":"Cerebras Model: cerebras/DeepSeek-V3.2-REAP-345B-A37B","description":"Cerebras model signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/65aa0627-3cbf-453f-98f2-186a94b643f0","json_url":"https://onlylabs.fyi/signals/65aa0627-3cbf-453f-98f2-186a94b643f0/signal.json","generated_at":"2026-06-11T02:49:48.76084+00:00","org":{"slug":"cerebras","name":"Cerebras","category":"neocloud","category_label":"Neocloud","dossier_url":"https://onlylabs.fyi/labs/cerebras","dossier_json_url":"https://onlylabs.fyi/labs/cerebras/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/65aa0627-3cbf-453f-98f2-186a94b643f0","signal_json":"https://onlylabs.fyi/signals/65aa0627-3cbf-453f-98f2-186a94b643f0/signal.json","source":"https://huggingface.co/cerebras/DeepSeek-V3.2-REAP-345B-A37B","lab_dossier":"https://onlylabs.fyi/labs/cerebras","lab_dossier_json":"https://onlylabs.fyi/labs/cerebras/dossier.json","analysis":"https://onlylabs.fyi/analysis/cerebras","analysis_json":"https://onlylabs.fyi/analysis/cerebras/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/cerebras/evidence.json","category":"https://onlylabs.fyi/neoclouds","category_json":"https://onlylabs.fyi/neoclouds.json","category_feed":"https://onlylabs.fyi/neoclouds/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neocloud","topic":"https://onlylabs.fyi/topics/releases","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json?category=neocloud","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml?category=neocloud","data_business":null},"answer_pack":{"answer":"Cerebras published cerebras/DeepSeek-V3.2-REAP-345B-A37B. This model signal is evidence of what shipped on model infrastructure and how the release is positioned. 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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/65aa0627-3cbf-453f-98f2-186a94b643f0/signal.json","required":true},{"label":"source","url":"https://huggingface.co/cerebras/DeepSeek-V3.2-REAP-345B-A37B","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/cerebras/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/cerebras/evidence.json","required":true},{"label":"topic_signals_json","url":"https://onlylabs.fyi/topics/releases/signals.json?category=neocloud","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 Cerebras's model signal \"cerebras/DeepSeek-V3.2-REAP-345B-A37B\" for neocloud strategy."},"semantic_triples":[{"subject":"Cerebras","predicate":"published model","object":"cerebras/DeepSeek-V3.2-REAP-345B-A37B","text":"Cerebras published model cerebras/DeepSeek-V3.2-REAP-345B-A37B."},{"subject":"cerebras/DeepSeek-V3.2-REAP-345B-A37B","predicate":"is classified as","object":"model signal","text":"cerebras/DeepSeek-V3.2-REAP-345B-A37B is classified as model signal."},{"subject":"cerebras/DeepSeek-V3.2-REAP-345B-A37B","predicate":"belongs to","object":"releases desk","text":"cerebras/DeepSeek-V3.2-REAP-345B-A37B belongs to releases desk."},{"subject":"cerebras/DeepSeek-V3.2-REAP-345B-A37B","predicate":"has evidence coverage","object":"1 captured evidence page","text":"cerebras/DeepSeek-V3.2-REAP-345B-A37B has evidence coverage 1 captured evidence page."},{"subject":"cerebras/DeepSeek-V3.2-REAP-345B-A37B","predicate":"has captured page count","object":"1","text":"cerebras/DeepSeek-V3.2-REAP-345B-A37B has captured page count 1."},{"subject":"cerebras/DeepSeek-V3.2-REAP-345B-A37B","predicate":"has readable page count","object":"1","text":"cerebras/DeepSeek-V3.2-REAP-345B-A37B has readable page count 1."},{"subject":"cerebras/DeepSeek-V3.2-REAP-345B-A37B","predicate":"has related signal count","object":"6","text":"cerebras/DeepSeek-V3.2-REAP-345B-A37B has related signal count 6."},{"subject":"cerebras/DeepSeek-V3.2-REAP-345B-A37B","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":"cerebras/DeepSeek-V3.2-REAP-345B-A37B has analysis playbook objective Turn model cards, repository releases, and launch artifacts into a current view of what shipped and what changed.."},{"subject":"cerebras/DeepSeek-V3.2-REAP-345B-A37B","predicate":"has source host","object":"huggingface.co","text":"cerebras/DeepSeek-V3.2-REAP-345B-A37B has source host huggingface.co."},{"subject":"cerebras/DeepSeek-V3.2-REAP-345B-A37B","predicate":"has lab","object":"Cerebras","text":"cerebras/DeepSeek-V3.2-REAP-345B-A37B has lab Cerebras."},{"subject":"cerebras/DeepSeek-V3.2-REAP-345B-A37B","predicate":"has signal desk","object":"releases","text":"cerebras/DeepSeek-V3.2-REAP-345B-A37B has signal desk releases."},{"subject":"cerebras/DeepSeek-V3.2-REAP-345B-A37B","predicate":"has source host","object":"huggingface.co","text":"cerebras/DeepSeek-V3.2-REAP-345B-A37B has source host huggingface.co."},{"subject":"cerebras/DeepSeek-V3.2-REAP-345B-A37B","predicate":"has task","object":"text-generation","text":"cerebras/DeepSeek-V3.2-REAP-345B-A37B has task text-generation."},{"subject":"cerebras/DeepSeek-V3.2-REAP-345B-A37B","predicate":"has license","object":"mit","text":"cerebras/DeepSeek-V3.2-REAP-345B-A37B has license mit."},{"subject":"cerebras/DeepSeek-V3.2-REAP-345B-A37B","predicate":"has library","object":"transformers","text":"cerebras/DeepSeek-V3.2-REAP-345B-A37B has library transformers."},{"subject":"cerebras/DeepSeek-V3.2-REAP-345B-A37B","predicate":"has params","object":"344.9B","text":"cerebras/DeepSeek-V3.2-REAP-345B-A37B has params 344.9B."},{"subject":"cerebras/DeepSeek-V3.2-REAP-345B-A37B","predicate":"has downloads","object":"1.2K","text":"cerebras/DeepSeek-V3.2-REAP-345B-A37B has downloads 1.2K."}]},"intelligence":{"signal_desk":"releases","answer":"Cerebras published cerebras/DeepSeek-V3.2-REAP-345B-A37B. This model signal is evidence of what shipped on model infrastructure and how the release is positioned. 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This model was created using **REAP (Router-weighted Expert Activation Pruning)**, a novel expert pruning method that selectively removes redundant experts while preserving the router's independent control over remaining experts. Key features include: - **Near-Lossless Performance**: Maintains almost identical accuracy on code generation, agentic coding, and..."},"evidence_pages":[{"url":"https://huggingface.co/cerebras/DeepSeek-V3.2-REAP-345B-A37B/raw/main/README.md","final_url":"https://huggingface.co/cerebras/DeepSeek-V3.2-REAP-345B-A37B/raw/main/README.md","title":"cerebras/DeepSeek-V3.2-REAP-345B-A37B model card","http_status":200,"content_type":"text/plain; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T02:49:48.76084+00:00","bytes":5710,"raw_path":"d8c6b79977c94201d792a27094fb7198e19b4cac14c2a09d5b02cac1e8bff3af.md","content_hash":"b8bdffd284c9a4646b7a71d6920b01fd9c812af101f01d6a15bf44568428e19a","excerpt_chars":1200,"truncated":true,"excerpt":"--- language: - en library_name: transformers tags: - deepseek - MOE - pruning - compression license: mit name: cerebras/DeepSeek-V3.2-REAP-345B-A37B description: > This model was obtained by uniformly pruning 50% of experts in DeepSeek-V3.2 using the REAP method. readme: > https://huggingface.co/cerebras/DeepSeek-V3.2-REAP-345B-A37B/main/README.md pipeline_tag: text-generation base_model: - deepseek-ai/DeepSeek-V3.2 --- <p align=\"center\"> <em>𓌳 <strong>REAP</strong>𓌳 the Experts: Why Pruning Prevails for One-Shot MoE Compression</em><br> <img src=\"https://i.imgur.com/rmzG3gg.png\" alt=\"REAP\" width=\"75%\"> </p> DeepSeek-V3.2-REAP-345B-A37B ✨ Highlights Introducing **DeepSeek-V3.2-REAP-345B-A37B**, a **memory-efficient compressed variant** of DeepSeek-V3.2 that maintains near-identical performance while being **50% lighter**. This model was created using **REAP (Router-weighted Expert Activation Pruning)**, a novel expert pruning method that selectively removes redundant experts while preserving the router's independent control over remaining experts. 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