@supezen: 128,000 can deploy a local GLM-5.2

@cryptoresetlife: 本地无审核版 GLM5.2 754B 参数模型 231GB 在我的MAC studio M3 ultra 512gb 上部署成功了 @support_huihui 948 tokens / 4分25秒 = 948 / 265 ≈ 3.6 …

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An uncensored version of the GLM5.2 754B parameter model (231GB GGUF) was successfully deployed on a Mac Studio M3 Ultra with 512GB RAM, achieving approximately 3.6 tokens/s.

Running GLM5.2 on budget hardware < $2500.

Reddit r/LocalLLaMA

A guide showing how to build a system under $2500 using used server components to run GLM5.2 and other large AI models locally, with trade-offs in speed.

@karminski3: Local deployment of GLM-5.2 with vLLM finally gets fast! Good news for local GLM-5.2 deployment! As we know, GLM-5.2 now comes with a built-in MTP head for speculative decoding. However, this only works with the bf16 original precision GLM-5.2, which...

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Community efforts, including a hybrid quantization approach by dnhkng, have enabled vLLM and SGLang to support GLM-5.2 with MTP heads, boosting local inference speed from 2 token/s to over 43 token/s on dual GH200 hardware. The challenge involved managing DSA-based MTP and quantization compatibility.

@AstroHanRay: If you need to use GLM-5.2, based on personal testing, Ollama Cloud Pro is the best choice on the market. Plenty of capacity for your money—$20 is basically more than enough unless you have heavy concurrent usage. Its overseas plan at http://Z.ai at the same price can't compete in value, and there's also...

X AI KOLs Timeline

Recommends using the Ollama Cloud Pro service to run the GLM-5.2 model, considers the $20 plan better value than Z.ai's overseas plan at the same price, and notes that the afternoon period has triple consumption affecting efficiency.

Giving GLM-5.2 a spin locally on CPU only! (poor man's rig for big models)

Reddit r/LocalLLaMA

A user runs GLM-5.2 locally on CPU only, demonstrating how to run a large model on a modest setup.