MODEL PROFILE · 模型档案

humanizer-GGUF

jialinyyzz · humanizer-GGUF

GGUF files of **jialinyyzz/humanizer** (v2), a 12B model that rewrites AI-written drafts in English and Chinese so they read like a person wrote them, trained to keep every number, date, name and quote. The 2-bit, Q3 and Q4_K_M files are quantization-aware trained and distilled from bf16, so they stay closer to the full model than standard quantizations of the same size. **Quick start:** the desktop app (Mac, Windows) downloads these files for you; or `hf download jialinyyzz/humanizer-GGUF humanizer-12b-Q8_0.gguf prompt_format.json` and see Usage. **95% judged human by Originality.ai** at its strictest setting (210 English drafts, bf16 weights, 2026-10-02): 11 of 210 rewrites were flagged as AI, against 26 for the previous release, and no AI detector was used anywhere in training. On the same 60 drafts, the 2-bit file here had **0 of 60** flagged (Q8_0 7, bf16 4); per-file results are under Quality on the task. **376 of 420 English rewrites came back with no factual problem** from a strict LLM judge, measured on the Q8_0 file here (210 drafts, two samples each); where it did find one, more than 9 in 10 fixes are a single word or phrase. Full results: main model card.

译文排队中,当前展示来源原文。

文本生成license: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2026/10/31 14:08:57
OVERVIEW

模型介绍

GGUF files of **jialinyyzz/humanizer** (v2), a 12B model that rewrites AI-written drafts in English and Chinese so they read like a person wrote them, trained to keep every number, date, name and quote. The 2-bit, Q3 and Q4_K_M files are quantization-aware trained and distilled from bf16, so they stay closer to the full model than standard quantizations of the same size. **Quick start:** the desktop app (Mac, Windows) downloads these files for you; or `hf download jialinyyzz/humanizer-GGUF humanizer-12b-Q8_0.gguf prompt_format.json` and see Usage. **95% judged human by Originality.ai** at its strictest setting (210 English drafts, bf16 weights, 2026-10-02): 11 of 210 rewrites were flagged as AI, against 26 for the previous release, and no AI detector was used anywhere in training. On the same 60 drafts, the 2-bit file here had **0 of 60** flagged (Q8_0 7, bf16 4); per-file results are under Quality on the task. **376 of 420 English rewrites came back with no factual problem** from a strict LLM judge, measured on the Q8_0 file here (210 drafts, two samples each); where it did find one, more than 9 in 10 fixes are a single word or phrase. Full results: main model card.

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

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。