heretic
40,305
Stars
4,624
Forks
205
Watchers
63
Open Issues
AGPL-3.0
许可证
Python
语言
2025-09-21
创建时间
2026-11-10
最近更新
项目能做什么
无需重新训练的语言模型修改工具,可移除审查限制、抑制无效垃圾内容及谄媚行为。
来源:基于仓库元数据
· 内容以仓库实际 README 为准
使用说明 查看原始 README 原仓库文档
中文使用说明暂未生成。下面保留原仓库 README 摘录,命令与配置均以原文为准。
原始 README 摘录(英文原文,节选前 3000 字符)
<div align="center"> <img width="128" alt="Heretic logo" src="https://github.com/user-attachments/assets/df5f2840-2f92-4991-aa57-252747d7182e" /> # Heretic ### Training-free language model modification **Remove censorship**, suppress slop, reduce sycophancy, and more.<br> All in an afternoon, on your gaming PC. [](https://discord.gg/gdXc48gSyT) [](https://matrix.to/#/#heretic:matrix.org) [](https://huggingface.co/heretic-org) [](https://codeberg.org/p-e-w/heretic) </div> ----- [](https://trendshift.io/repositories/20538) [](https://heretic.sdad.pro/) ## Modify any LLM that you can run on your hardware[^1] [^1]: Heretic supports on-the-fly 4-bit model quantization with bitsandbytes, which can reduce the amount of VRAM required to process a model to the same amount that is used to run a typical quantized version of it, at a slight accuracy cost. Set the `quantization` option to `bnb_4bit` to enable this. Heretic is a unique tool that lets you do what only corporations with access to massive computing power usually do: *Modify,* rather than merely run, language models. It does not perform expensive training; rather, it uses a collection of mathematical techniques to steer behavior based on contrasting example prompts and matching scorers. Heretic can, depending on the configuration: * **Suppress refusals/remove censorship** (this is the [default action](/config.default.toml)) * Reduce slop ([`config.noslop.toml`](/config.noslop.toml)) * Reduce humor ([`config.nohumor.toml`](/config.nohumor.toml)) * Reduce sycophancy ([`config.nosyco.toml`](/config.nosyco.toml)) * Alter emotional alignment ([`config.emotions.toml`](/config.emotions.toml)) * Shorten response length ([`config.terse.toml`](/config.terse.toml)) and many, many other things. ### :bangbang: Using Heretic does NOT require understanding how language models work internally :bangbang: In fact, you can go from zero to removing censorship from your first model [in a matter of seconds](#usage). Heretic supports most dense models, including many multimodal models, several different MoE architectures, and many modern hybrid models. The community has created and published [thousands](https://huggingface.co/models?other=heretic) of models with Here阅读完整原文
项目深度分析 规则生成(AI 未配置)
综合评分 49.5 分。该项目在“个人可实施性”维度得 60 分,“付费可能性”维度得 20.0 分,差异化空间 70.0 分(评分依据见评分卡)。
面向细分需求的二次开发产品
| 产品构想 | 基于 heretic 的核心能力,聚焦一个更窄的场景(如某平台、某行业)做差异化。 |
| 目标用户 | 该细分场景用户 |
| 难度/周期 | 中 · 2~6 周 |
| 收费模式 | 买断制 / 订阅制 / 广告 |
| 竞争风险 | 细分需求规模需验证 |
| 依据 | AI 推测:基于项目主题标签的判断 |
封装为在线小工具或 API 服务
| 产品构想 | 把项目最常用的一个功能做成网页小工具,靠流量变现或按量计费。 |
| 目标用户 | 搜索引擎带来的长尾用户 |
| 难度/周期 | 低 · 1~3 周 |
| 收费模式 | 免费引流 + 增值功能 / API 按量计费 |
| 竞争风险 | 同质化竞争,需做好 SEO |
| 依据 | AI 推测:基于技术栈与部署特征的判断 |
以上为规则引擎基于仓库公开数据生成的参考结论,包含推测成分,不构成投资或创业承诺;配置 AI 后可获得更深入的分析。
报告会保存到 个人中心
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项目优势与风险
| 技术成熟度 | 创建于 2025-09-21,近 30 天仍在推送,发布过 7 个 Release |
| 社区活跃 | Star 40,305 / Fork 4,624 / Issue 63(数据支持,可自行核实) |
| 许可证 | AGPL-3.0 商用需注意传染性条款 |
| 主要风险 | 上游项目方向可能变化;同赛道竞争者较多(见竞品表);热度与需求不完全等价 |
安装与使用
此项目未提供 Docker 镜像,安装步骤以原仓库 README 为准(涉及依赖安装与环境配置,对新手门槛较高)。