{"schema_version":"onlylabs.public_signal.v1","title":"OpenBMB (MiniCPM) Model: openbmb/MiniCPM5-2B-DSpark","description":"OpenBMB (MiniCPM) model signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/f518f533-1589-490a-848b-27b67843fa28","json_url":"https://onlylabs.fyi/signals/f518f533-1589-490a-848b-27b67843fa28/signal.json","generated_at":"2026-09-09T18:49:06.201Z","evidence_latest_fetched_at":"2026-09-08T07:20:24.106884+00:00","signal_first_seen_at":"2026-09-08T07:20:08.657444+00:00","org":{"slug":"openbmb","name":"OpenBMB (MiniCPM)","category":"neolab","category_label":"Neolab","dossier_url":"https://onlylabs.fyi/labs/openbmb","dossier_json_url":"https://onlylabs.fyi/labs/openbmb/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/f518f533-1589-490a-848b-27b67843fa28","signal_json":"https://onlylabs.fyi/signals/f518f533-1589-490a-848b-27b67843fa28/signal.json","source":"https://huggingface.co/openbmb/MiniCPM5-2B-DSpark","lab_dossier":"https://onlylabs.fyi/labs/openbmb","lab_dossier_json":"https://onlylabs.fyi/labs/openbmb/dossier.json","analysis":"https://onlylabs.fyi/analysis/openbmb","analysis_json":"https://onlylabs.fyi/analysis/openbmb/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/openbmb/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":"OpenBMB (MiniCPM) published openbmb/MiniCPM5-2B-DSpark. 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Model Specification | Property | Value | |---|---| | Target model | [MiniCPM5-2B](https://huggingface.co/openbmb/MiniCPM5-2B) | | Draft layers | 5 | | Draft parameters | 323,776,001 | | Draft tokens per forward pass | 7 | | Target hidden-state layers | `[1, 10, 20, 30, 39]` | | Checkpoint precision | BF16 | Training Recipe Training responses were generated by [MiniCPM5-2B](https://huggingface.co/openbmb/MiniCPM5-2B) from a mixture of general-domain, mathematics, and code prompts. | Setting | Value | |---|---| | Training sequences | 1,959,525 | | Training tokens | 7,054,154,509 | | Epochs | 6 | | Maximum sequence length | 12,288 | | Optimizer | AdamW | | Objective | CE + L1 + confidence loss | Evaluation Acceptance length is defined as the total number of completion tokens divided by the total number of speculative verification steps. 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