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routerhubSI/ glm-5.3-abliterated
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
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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&utm_medium=readme&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?**
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- 2026/10/24 21:51:36
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- 2026/10/25 02:51:35
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- 2026/10/25 04:51:01
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普通加权总分 3.2 / 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。
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