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d3-mini

vllm-sr · d3-mini

**d3-mini** is the 4B multimodal foundation decision model of Decision 3.0, the decision models of vLLM Semantic Router. Give it an input (text or JSON, optionally with images and videos) and the questions you need answered: pick one of several options, say yes or no, or rate on a scale. It answers them all in one call and returns a probability for every answer, without generating text. **Try it free** at decision.vllm-sr.ai · Official Space: vllm-sr/Decision-3.0 - **Jev Decision Index 0.3.2: 52.6 on the official text board**, first among the entries of similar size and on the board's Pareto frontier; public suite 54.90, measured with the official 0.3 kit on the released weights: all 140,178 public requests answered, none unsupported. - **+7.7 over Decision 2.0** (its 4B model: 45.0 on the official board): +10.7 on the public suite, ahead in all five of its areas, and +8.2 and +3.4 on the private same-skill tests and new-domain tasks. - **Reads images:** multiple images per request (PNG, JPEG or WebP), given as paths, URLs, PIL images or base64 data URLs; every question of the request sees all of them. - **Reads videos:** multiple videos per request (MP4, WebM, MOV or MKV), given as paths, URLs, base64 data URLs or frame arrays, read at 2 frames per second; **Perception Test (multiple-choice video QA): 70.3** (internal evaluation). - **Speed:** a median of 18.1 ms for a text request, 112 ms for a request with an image and 336 ms for a request with a 10-second video, on one AMD Instinct MI325X GPU, one request at a time with AutoModel. - **Serving:** 151 requests/s with p99 under 1 s on one AMD Instinct MI325X with vLLM Semantic Router, 2.7× AutoModel (one-question text, with batching, now the default); with one request per forward, the former default, it gave answers identical to AutoModel's (Serving performance). - **Many questions, one call:** Choice, Yes / No and Score questions about the same input are answered together, each from its own forward pass over the input, with a probability for every option.

번역 대기 중입니다. 원문을 표시합니다.

multimodallicense:apache-2.0
컨텍스트 창미공개
입력 → 출력待核验 → 待核验
모델 웨이트미확인
정보 업데이트2026/11/2 19:16:41
OVERVIEW

모델 소개

**d3-mini** is the 4B multimodal foundation decision model of Decision 3.0, the decision models of vLLM Semantic Router. Give it an input (text or JSON, optionally with images and videos) and the questions you need answered: pick one of several options, say yes or no, or rate on a scale. It answers them all in one call and returns a probability for every answer, without generating text. **Try it free** at decision.vllm-sr.ai · Official Space: vllm-sr/Decision-3.0 - **Jev Decision Index 0.3.2: 52.6 on the official text board**, first among the entries of similar size and on the board's Pareto frontier; public suite 54.90, measured with the official 0.3 kit on the released weights: all 140,178 public requests answered, none unsupported. - **+7.7 over Decision 2.0** (its 4B model: 45.0 on the official board): +10.7 on the public suite, ahead in all five of its areas, and +8.2 and +3.4 on the private same-skill tests and new-domain tasks. - **Reads images:** multiple images per request (PNG, JPEG or WebP), given as paths, URLs, PIL images or base64 data URLs; every question of the request sees all of them. - **Reads videos:** multiple videos per request (MP4, WebM, MOV or MKV), given as paths, URLs, base64 data URLs or frame arrays, read at 2 frames per second; **Perception Test (multiple-choice video QA): 70.3** (internal evaluation). - **Speed:** a median of 18.1 ms for a text request, 112 ms for a request with an image and 336 ms for a request with a 10-second video, on one AMD Instinct MI325X GPU, one request at a time with AutoModel. - **Serving:** 151 requests/s with p99 under 1 s on one AMD Instinct MI325X with vLLM Semantic Router, 2.7× AutoModel (one-question text, with batching, now the default); with one request per forward, the former default, it gave answers identical to AutoModel's (Serving performance). - **Many questions, one call:** Choice, Yes / No and Score questions about the same input are answered together, each from its own forward pass over the input, with a probability for every option.

주요 특징

特点摘要待依据来源补齐,不凭模型名称推断能力。

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출처 및 추적 기록

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。