GLM-5.3 UNCENSORED · FP8
A downloadable, community-modified GLM-5.3 checkpoint with reduced refusal behavior. Run the exact FP8 weights on an eight-H200 Linux server and connect a PC harness through a private API, or try a clearly identified different hosted GLM-5.3 derivative first.
What do you want to do?
Choose a task. Get the software, files, settings, and steps to run it.
Open a guide for its software, hardware requirements, and setup steps.
At a glance
- Parameters
- 753B total, according to the derivative’s model card
- Architecture
- Mixture of experts · glm_moe_dsa · text only
- Context length
- 65,536 starting API context in this guide; longer context needs extra runtime memory
- License
- Upstream GLM-5.3 License; derivative repository declares MIT
- Disk space
- 756 GB
- Software
- vLLM, RunPod, OpenAI-compatible API clients, VS Code, Cline
Will it run on your machine?
Save your machine to see a personalized rating and its reasoning.
Add my hardwareBest for
- Compare refusal behavior and answer quality on a self-hosted community checkpoint.
- Serve a private text API for your own PC client or coding harness.
Tradeoffs
- The uncensored label describes reduced refusals; it does not establish truthfulness, complete compliance, or tool reliability.
- This is a dealignai derivative, not an official Z.ai uncensored release. MagmaRouter Xploded and Abliteration.ai Large V2 are separate hosted GLM-5.3 builds.
- The separate GLM-5.3-Flash-UNCENSORED-FP8 checkpoint is about 328 GB with a source-documented 4×H200 route. It is a smaller different model; this guide’s eight-GPU setup file does not cover it.
- The documented FP8 route needs eight high-memory GPUs. Windows and macOS are clients, not native model-server routes here.
- The guide is source-checked, not a GPU execution or performance benchmark. RunPod and MagmaRouter sources were checked October 22, 2026; the Abliteration option was checked October 23. Start with API and tool checks before a longer task.
Ways to run it
vLLM 0.32.0 CUDA 12.9 · Linux · 8× H200 on one host; PC connects through SSH
Pinned checkpoint and prepared setup; 64K context, low reasoning, one active sequence, and MTP disabled. Follow the linked task workflow for storage, launch, private connection, and shutdown.
Official instructionsAbliteration.ai · OpenAI-compatible hosted API · Windows, macOS, or Linux API client · no local GPU
Different provider-modified GLM-5.3 FP8 build: abliterated-model-large-v2 at https://api.abliteration.ai/v1. Start with top-level reasoning_effort low and 8192 max_tokens. Provider-documented setup checked October 23, 2026; live generation not tested by YouRunAI. See the linked workflow’s Abliteration.ai section.
Official instructionsExplore its uses
Sources and files
Primary sources and files behind this model page.
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