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routerhubSI/glm-5.3-abliterated

模型对比提示词参考

用于研究GLM 5.3 abliterated或uncensored模型的API访问,包含35个越狱提示词文件和模型对比指南,适合开发者选择模型变体并评估行为。

AI 中文解读 · 根据仓库描述与 README 生成 · 2026/10/25 02:56:02 · 查看原文

普通Python资源合集兼有 教程与文档
累计 Stars
110
当前热度
1 天内 · 小火
仓库创建时间
打开 GitHub ↗项目网站 ↗

选用指南

AI 根据 README 整理 · 2026/10/25 02:56:02

适用场景

用于比较GLM 5.3标准、Flash、abliterated和uncensored变体的API访问,评估任务质量、拒绝行为和成本;也包含35个越狱提示词文件供研究使用。

查看 README 依据
**Find a GLM 5.3 abliterated API, compare GLM 5.3 uncensored models, and explore 35 bundled research prompt files.** This RouterHub guide connects model terminology, jailbreak prompt research, API examples, and coding-tool setup in one place. Searching for a **GLM 5.3 uncensored AI model**, a **GLM 5.3 abliterated model**, or a **GLM 5.3 no-refusal model**? Learn what each label tells you, choose an API ID, and evaluate the behavior you actually need. The gateway offers OpenAI-compatible Chat Completions for GLM and Anthropic-compatible Messages for supported Claude entries.
- project instructions and multi-step agent work; - bilingual drafting and translation; - repeated tasks where token cost affects deployment choices; - comparing standard, Flash, abliterated, and uncensored entries on the same inputs. Choose on measured task quality, latency, and cost rather than a product label alone. The [GLM 5.3 model guide](./docs/01-what-is-glm-5.3-abliterated.md) explains where to start. ## Abliterated vs. uncensored | Question | GLM 5.3 Abliterated | GLM 5.3 Uncensored | |---|---|---|
<a href="https://routerhub.si/models?utm_source=github&amp;utm_medium=readme&amp;utm_campaign=glm-5.3-abliterated"> <img src="./assets/routerhub-banner.png" width="600" alt="GLM 5.3 abliterated and uncensored API access with RouterHub"> </a> ## GLM 5.3 jailbreak collection (35 prompts) The **jailbreak collection is the main event**: 35 paste-ready prompt files bundled in [jailbreaks/](./jailbreaks/), organized by model family. The GLM 5.3 abliterated/uncensored angle and the RouterHub API path are added around them. ### Collection ### OpenCode Zen — Free Stealth Models
目标用户

面向考虑将GLM用于编码、代理任务、分析和中英文工作流的开发者。

查看 README 依据
The API is the fallback funnel: [GLM 5.3 API quickstart](./docs/03-glm-5.3-api-quickstart.md) · [Get a key](https://routerhub.si/register?next=onboarding&utm_source=github&utm_medium=readme&utm_campaign=glm-5.3-abliterated). ## What is GLM 5.3? **GLM 5.3** belongs to the GLM model family associated with Z.ai / Zhipu. This guide focuses on API access, variant selection, and evaluation for developers considering GLM for coding, agent tasks, analysis, and Chinese/English workflows. Useful evaluation scenarios include: - code explanation, refactoring suggestions, and test generation;
使用方式

通过RouterHub API使用,需注册账户、添加预付费积分并创建API密钥;支持OpenAI兼容的Chat Completions请求。

查看 README 依据
[Register with RouterHub](https://routerhub.si/register?next=onboarding&utm_source=github&utm_medium=readme&utm_campaign=glm-5.3-abliterated), add prepaid credits, and create a private API key. The published API base is `https://routerhub.si/v1`. ```bash export ROUTERHUB_API_KEY="<your-private-key>" export ROUTERHUB_API_BASE_URL="https://routerhub.si/v1" ``` Set these values only in your local environment or secret manager. Running an inference example consumes credits; do not commit a real key. ### 2. Confirm the GLM 5.3 model ID
These entries were listed in the [public catalogue](https://routerhub.si/models.json) on October 24, 2026. All five list Chat Completions and preview availability; recheck availability and rates before use. | Variant | Exact API ID | |---|---| | **GLM 5.3 Abliterated** | `glm-5.3-abliterated` | | **GLM 5.3** | `glm-5.3` | | **GLM 5.3 Flash** | `glm-5.3-flash` | | **GLM 5.3 Uncensored** | `glm-5.3-uncensored` | | **GLM 5.3 Flash Uncensored** | `glm-5.3-flash-uncensored` | ### 3. OpenAI-compatible request Install `openai` with pip, then run a short Chat Completions request: ```python
部署要求

需要RouterHub账户、预付费积分和API密钥;请求可通过Python的openai库发送,但需自行安装该库。

查看 README 依据
[Register with RouterHub](https://routerhub.si/register?next=onboarding&utm_source=github&utm_medium=readme&utm_campaign=glm-5.3-abliterated), add prepaid credits, and create a private API key. The published API base is `https://routerhub.si/v1`. ```bash export ROUTERHUB_API_KEY="<your-private-key>" export ROUTERHUB_API_BASE_URL="https://routerhub.si/v1" ``` Set these values only in your local environment or secret manager. Running an inference example consumes credits; do not commit a real key. ### 2. Confirm the GLM 5.3 model ID
These entries were listed in the [public catalogue](https://routerhub.si/models.json) on October 24, 2026. All five list Chat Completions and preview availability; recheck availability and rates before use. | Variant | Exact API ID | |---|---| | **GLM 5.3 Abliterated** | `glm-5.3-abliterated` | | **GLM 5.3** | `glm-5.3` | | **GLM 5.3 Flash** | `glm-5.3-flash` | | **GLM 5.3 Uncensored** | `glm-5.3-uncensored` | | **GLM 5.3 Flash Uncensored** | `glm-5.3-flash-uncensored` | ### 3. OpenAI-compatible request Install `openai` with pip, then run a short Chat Completions request: ```python
已知限制

无拒绝标签并非保证,模型行为可能变化;各模型协议不通用,GLM变体仅支持Chat Completions,且不支持Messages或Responses。

查看 README 依据
- **A no-refusal label is not a guarantee.** Evaluate the actual model instead of assuming every request will receive a useful answer. - **Hosted behavior can change.** Recheck availability and rerun important evaluations after updates. - **Protocols are model-specific.** A shared API key does not make a Chat-only model compatible with Messages or Responses. - **Instruction handling matters.** In particular, confirm whether a persona replaces your system/developer instructions.
GLM currently requires Chat Completions. Claude Code requires Messages, so use a supported Claude entry there. For Cursor, check that your version supports the needed custom endpoint. See the [client guide](./docs/04-glm-5.3-claude-code-cursor-opencode-codex.md). **Is GLM 5.3 abliterated safe?** Suitability depends on the task, data, model behavior, and controls around your application. Review outputs and approve consequential actions; see the [deployment checklist](./docs/07-safety-and-responsible-use.md). **Will a GLM 5.3 no-refusal model never refuse?**

README

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收录信息

仓库创建时间
2026/10/24 21:51:36
首次达标收录
2026/10/25 02:51:35
统计更新时间
2026/10/25 04:51:01

按创建时长与累计 Stars 判断等级。首次达标收录后,即使未达当前门槛仍保留;累计 Stars 和仓库状态会定期更新。确认只有 README 及辅助文件的仓库会停止公开。

模型评估

普通加权总分 3.2 / 5

新颖度
1.6
实用价值
4.0
成熟度
4.1
实质含量
3.5

由 Jev 模型根据仓库描述与 README 评估,2026/10/25 02:51:35 生成。评分仅供参考,不是代码、安全或许可证审查;热度等级另按创建时长与累计 Stars 计算。

仓库信息

最近推送
2026/10/25 00:10:37
许可证标识
MIT
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3
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