AI NEWS.ccAI正在发生 未来正在更新
♡ 我的收藏 0
AI 模型库/org2ai/Wald-4B
MODEL PROFILE · 模型档案

Wald-4B

org2ai · Wald-4B

An open 4B decision model: send a state and typed options, get a calibrated probability for every option. Served through a Jev-compatible `POST /v1/systemone` API on your own GPU. - **Probabilities, not text:** a calibrated probability for every option, nothing to parse. - **Decision Index 0.3: 60.05** on the complete public suite (our run; v2.0: 54.18). - **Thinks only when unsure:** Auto 0.7 thinks natively on about half of the requests. - **Fast:** median **158 ms** (serial, one request in flight, warm, processing time, one RTX PRO 6000, 200 DI 0.3 requests). - **Web actions:** Mind2Web element selection **92.3 %** (test splits, 6 candidates; v2.0: 84.6 %). - **Reads images and video** zero-shot through Qwen3.5-4B's unchanged vision tower. Video (wald-serve 0.2.2): **87.4 %** on VisualDecisionBench video (7,143 questions, our run), 2.5 s for a 15-second clip with 24 questions (serial, one RTX 5090). - **Small and open:** 4B, Apache-2.0. Self-run, not leaderboard results; how each number was produced: evaluation/v2.1/. DI 0.3 run files: org2ai/Wald-Q4B-decision-index-results.

译文排队中，当前展示来源原文。

文本生成reasoninglicense:apache-2.0
上下文窗口来源未披露
输入 → 输出文本 → 文本
模型权重待核验
档案更新时间2026/11/2 19:17:03
OVERVIEW

模型介绍

An open 4B decision model: send a state and typed options, get a calibrated probability for every option. Served through a Jev-compatible `POST /v1/systemone` API on your own GPU. - **Probabilities, not text:** a calibrated probability for every option, nothing to parse. - **Decision Index 0.3: 60.05** on the complete public suite (our run; v2.0: 54.18). - **Thinks only when unsure:** Auto 0.7 thinks natively on about half of the requests. - **Fast:** median **158 ms** (serial, one request in flight, warm, processing time, one RTX PRO 6000, 200 DI 0.3 requests). - **Web actions:** Mind2Web element selection **92.3 %** (test splits, 6 candidates; v2.0: 84.6 %). - **Reads images and video** zero-shot through Qwen3.5-4B's unchanged vision tower. Video (wald-serve 0.2.2): **87.4 %** on VisualDecisionBench video (7,143 questions, our run), 2.5 s for a 15-second clip with 24 questions (serial, one RTX 5090). - **Small and open:** 4B, Apache-2.0. Self-run, not leaderboard results; how each number was produced: evaluation/v2.1/. DI 0.3 run files: org2ai/Wald-Q4B-decision-index-results.

主要特点

特点摘要待依据来源补齐，不凭模型名称推断能力。

局限与注意事项

暂无足够来源支持具体缺点结论。请重点验证实际任务表现、时延、数据政策、许可与版本生命周期。

PRICING & COST

来源报价与费用分析

同一模型在不同渠道、地区和配置下可能采用不同价格。下表独立保留各渠道报价，不将渠道价格视为厂商官方统一价格。

来源 / 渠道输入输出计费单位采集时间
暂未取得可核验报价，请查阅来源渠道。

按月估算基础 Token 费用

—

预估不包含缓存优惠、阶梯定价、多模态附加费用、网络检索、税费及推理额外输出。

INDEPENDENT BENCHMARKS

公开评测与运行配置

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

查看完整已收录榜单 →

常见问题

开放权重是否代表可以免费商用？

不一定。应核对具体版本许可证、商用门槛和使用政策。自部署还会产生算力和维护成本。

这些价格是实时结算价格吗？

不是实时结算价格，而是带采集时间的来源报价快照。请到对应渠道核对当前版本、区域、折扣和计费方式。

资料来源与可追溯记录

huggingface · org2ai/Wald-4B ↗2026/10/30 14:13:28
huggingface · enrich:52045de7-afbe-4fd2-9e4d-d7a1c17617e9 ↗2026/10/29 13:01:06

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。