
GLM5 Large Language Model
GLM-5 | Zhipu AI's Next-Generation Large Language Model
What it does
GLM-5 is Zhipu AI's fifth-generation large language model with 745B parameters and 44B active MoE architecture. Now accessible via Z.ai's platform and APIs with frontier-level reasoning, coding, and agentic intelligence capabilities.
Does the same job
all alternatives →- ZΜZ80-μLM, a 'Conversational AI' That Fits in 40KBDec 2025 · github.com · ▲514
How small can a language model be while still doing something useful? I wanted to find out, and had some spare time over the holidays. Z80-μLM is a character-level language model with 2-bit quantized weights ({-2,-1,0,+1}) that runs on a Z80 with 64KB RAM. The entire thing: inference, weights, chat UI, it all fits in a 40KB .COM file that you can run in a CP/M emulator and hopefully even real hardware! It won't write your emails, but it can be trained to play a stripped down version of 20 Questions, and is sometimes able to maintain the illusion of having simple but terse conversations…

- GGGetting GLM 5.2 running on my slow computerJul 2026 · github.com · ▲937
A few days ago I found myself trying out GLM 5.2 and was really positively impressed. The capabilities and security I was getting from this LLM are similar to those I've gotten from models like Claude or GPT, and this really surprised me. But then I thought, "I wonder how it would work on a normal computer like mine," and above all, "I wonder if it would work without going into OOM on a computer like mine." So I started working with the help of agents to test this possibility. I started converting the model to int4, understanding MTP usage, and if possible implementing DSA for long context.…


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