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Chinzhu

Chinzhu

Models in Library1
Datasets in Library0
Models on Hugging Face—
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This profile connects the 1 model and dataset record shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Published tasks: Image and text to text.

Reported licenses: cc-by-nc-sa-4.0. Open a record to review its specific license and conditions.

Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.

Models

Model · Image and text to text

Lite-OmniJev

Chinzhu

冻结 Gemma 4 E4B 基座 + 决策 LoRA,每题一次前向读出全部选项概率。 支持 Choice(2–20项)、Score(2–10级)、yes/no,覆盖文本、图像、截图、音频与视频。 API直接返回答案概率、置信度和结构化判断。 MMAU音频路由基座方案采用65.9%的实测结果;默认部署脚本采用全模态adapter。 真实模型工作台通过三类判断、图像/截图/音频/视频、cURL重放及错误恢复验证。 GGUF三档在20个公开文本案例上均与参考选答20/20一致,截图、音频和视频运行探针全部成功。 环境:Linux x8664、Python3.11、兼容CUDA13的NVIDIA驱动;FP32配方在H20 96GB实测显存约39GB。 终端B启动API和工作台: 打开本地工作台,或调用API: 每题返回probabilities、confidence及相应的choice、score或noul。 Score为从0开始的期望等级;Noul为yes的概率。部署脚本使用原始答案概率(calibration: unfitted)。 媒体通过服务端受信文件路径和SHA256引用: type也支持audio/video;视频用videoframes选择8或16帧。 GGUF截图采用RGB、长边≤1344;完整命令见gateway/GGUF.md。

Open weights cc-by-nc-sa-4.0 8B parameters 131,072 tokens transformers