{"schema_version":"onlylabs.public_signal.v1","title":"OpenBMB (MiniCPM) Model: openbmb/Trident-Qwen3VL-2B","description":"OpenBMB (MiniCPM) model signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/993c8de4-965c-46e9-a0bd-8076d5f405da","json_url":"https://onlylabs.fyi/signals/993c8de4-965c-46e9-a0bd-8076d5f405da/signal.json","generated_at":"2026-10-24T20:17:39.092Z","evidence_latest_fetched_at":"2026-10-13T07:20:26.31031+00:00","signal_first_seen_at":"2026-10-13T07:20:09.116263+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/993c8de4-965c-46e9-a0bd-8076d5f405da","signal_json":"https://onlylabs.fyi/signals/993c8de4-965c-46e9-a0bd-8076d5f405da/signal.json","source":"https://huggingface.co/openbmb/Trident-Qwen3VL-2B","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/Trident-Qwen3VL-2B. 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It maps text, images, and fused text-image inputs into one shared space, so a text query can rank text-only, image-only, and fused documents in a single list. It is fine-tuned from [Qwen3-VL-2B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-2B-Instruct) on [Trident-Train](https://huggingface.co/datasets/OpenBMB/Trident-Train), as described in the paper [Chaos in the Text: Revealing the Modality Preference in Mixed-Modality Retrievers](https://arxiv.org/abs/2610.11816). The LoRA adapter is already merged, so no base model or [PEFT](https://github.com/huggingface/peft) is needed. Quickstart **1. Set up the code and download the weights** ```bash git clone https://github.com/OpenBMB/Trident.git cd Trident conda create -n trident python=3.12 -y && conda activate trident pip install -r requirements.txt # tested with transformers 4.57.1 (Qwen3-VL needs >= 4.57) hf download OpenBMB/Trident-Qwen3VL-2B --local-dir checkpoints/Trident-Qwen3VL-2B ``` **2. Encode queries and documents**..."},"evidence_pages":[],"related_signals":[{"id":"258f7dbc-8569-4264-9eec-f519b947443f","url":"https://onlylabs.fyi/signals/258f7dbc-8569-4264-9eec-f519b947443f","source_url":"https://huggingface.co/openbmb/Trident-Train","title":"openbmb/Trident-Train","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"openbmb","name":"OpenBMB (MiniCPM)","category":"neolab"},"occurred_at":"2026-10-12T04:16:06+00:00","first_seen_at":"2026-10-12T07:20:09.281551+00:00","date_source":"source"},{"id":"9f526ad3-cb79-4bcf-b1ec-5e75ce72755d","url":"https://onlylabs.fyi/signals/9f526ad3-cb79-4bcf-b1ec-5e75ce72755d","source_url":"https://huggingface.co/openbmb/MiniCPM-V-4.7-35B-A3B-DSpark","title":"openbmb/MiniCPM-V-4.7-35B-A3B-DSpark","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"openbmb","name":"OpenBMB (MiniCPM)","category":"neolab"},"occurred_at":"2026-10-08T04:26:20+00:00","first_seen_at":"2026-10-13T07:20:09.116263+00:00","date_source":"source"},{"id":"1dbbbc99-3d7d-4775-a8d3-a0f0c3e80b85","url":"https://onlylabs.fyi/signals/1dbbbc99-3d7d-4775-a8d3-a0f0c3e80b85","source_url":"https://huggingface.co/openbmb/MiniCPM-V-4.7-1B-DSpark","title":"openbmb/MiniCPM-V-4.7-1B-DSpark","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"openbmb","name":"OpenBMB (MiniCPM)","category":"neolab"},"occurred_at":"2026-10-08T04:26:19+00:00","first_seen_at":"2026-10-13T07:20:09.116263+00:00","date_source":"source"},{"id":"8f0426cf-7f48-4128-b40d-c1f3cf7787ce","url":"https://onlylabs.fyi/signals/8f0426cf-7f48-4128-b40d-c1f3cf7787ce","source_url":"https://huggingface.co/openbmb/MiniCPM-V-4.7-35B-A3B","title":"openbmb/MiniCPM-V-4.7-35B-A3B","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"openbmb","name":"OpenBMB (MiniCPM)","category":"neolab"},"occurred_at":"2026-10-07T07:07:30+00:00","first_seen_at":"2026-10-13T07:20:09.116263+00:00","date_source":"source"},{"id":"200a5b3e-7c7c-4022-87d3-330ee0fc1caa","url":"https://onlylabs.fyi/signals/200a5b3e-7c7c-4022-87d3-330ee0fc1caa","source_url":"https://huggingface.co/openbmb/MiniCPM-V-4.7-1B","title":"openbmb/MiniCPM-V-4.7-1B","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"openbmb","name":"OpenBMB (MiniCPM)","category":"neolab"},"occurred_at":"2026-10-06T17:40:13+00:00","first_seen_at":"2026-10-13T07:20:09.116263+00:00","date_source":"source"},{"id":"ef917e21-8de0-4123-b6bf-3bf014cd86a2","url":"https://onlylabs.fyi/signals/ef917e21-8de0-4123-b6bf-3bf014cd86a2","source_url":"https://huggingface.co/openbmb/JustRL-II-base-model","title":"openbmb/JustRL-II-base-model","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"openbmb","name":"OpenBMB (MiniCPM)","category":"neolab"},"occurred_at":"2026-09-07T08:25:05+00:00","first_seen_at":"2026-09-08T07:20:08.657444+00:00","date_source":"source"}]}