GLM 5.3 uncensored setup with browser and full agent tools
Budget: $100.0
FIXED /
⭐ 5.00 (9)
India
docker, python, artificial-intelligence, machine-learning
Preferred qualifications
- Experience: Intermediate
We need an experienced AI engineer to get GLM 5.3 running on a rented GPU server in an uncensored / unrestricted build (or the closest available GLM release if 5.3 is not out yet), and to give the model a full tool stack so it can operate on its own.
What the setup needs:
- Browser control (Playwright or Chrome DevTools Protocol): open pages, click, type, read content
- Shell / code execution
- File read and write
- Web search and page fetching
- Any tool-calling framework you prefer (we are flexible on the stack)
Deliverables:
1. A working deployment on a server we can access, running for a 4 hour session
2. The model responding without refusals (uncensored / abliterated build, or your recommended approach)
3. Tool use wired in and demonstrated live: the model opens a browser, navigates and completes a simple task end to end
4. A short handover: how to restart it, how to plug in new tools, and the running costs
Requirements: hands-on experience with vLLM, llama.cpp or SGLang, GPU hosting (RunPod, Vast, Lambda, AWS), quantization, and agent tool frameworks. Please share one or two similar deployments you have done.
Fixed price: $100, one-time. Intermediate level. We will leave a five-star review on successful delivery.
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