NVIDIA Releases Quantized GLM-5.2-NVFP4 Language Model on Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Read the full articleYou might also wanna read
GLM-5.2: How to Run the 753B MoE Model Locally with Unsloth Quantization
GLM-5.2 is a 753-billion-parameter Mixture-of-Experts model that activates only 40 billion parameters per token, making its compute cost com
Zhipu AI Launches GLM-5: Fifth-Generation Large Language Model with 745B Parameters
745B parameters. 44B active. Built for agentic intelligence, advanced reasoning, and frontier-level performance. Now accessible via Z.ai's p
Z.ai Launches GLM-5.2: A 1M-Token Context Model for Long-Horizon Tasks
A Blog post by Z.ai on Hugging Face
Z.AI Releases GLM-4.5 and GLM-4.5-Air AI Models for Agent Applications
GLM-4.5 and GLM-4.5-Air are our latest flagship models, purpose-built as foundational models for agent-oriented applications. Both leverage
NVIDIA Releases Nemotron-Labs-3-Puzzle-75B-A9B: A Compressed LLM for Efficient Inference
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Z.ai releases GLM-5.2: 753B parameter open weights LLM with 1M token context window
Chinese AI lab Z.ai released GLM-5.2 to their coding plan subscribers on June 13th, and then yesterday (June 16th) released the full open we

Comments
Sign in to join the conversation.
No comments yet. Be the first.