2 entries
Keyword: ukisaiLink:UkisAI
UkisAI has released an NVFP4 quantized version of GLM-5.3-Flash built with NVIDIA ModelOpt for Blackwell architectures. By penalising overthinking via post-training, the model cuts thinking tokens by 57.7% and speeds up inference with less than 1% accuracy loss. It caters to teams self-hosting agentic and coding workflows.
From X post: Post-Trained GLM-5.3-Flash Variants for Coding and Security
X post:O
In an online discussion on GLM-5.3-Flash, user O highlights community post-trained derivatives hosted on Hugging Face. UkisAI's Swift 1.5 significantly cuts reasoning tokens for general daily use, while Cantina Security's apex-flash-1-abliterated targets cyber research. The author ranks both variants ahead of stock GLM-5.3-Flash and DeepSeek.
13bookmarks468views
2 of 2 shown
Do you have an interesting article, a video, or a tweet that belongs in our knowledge base? Write to us at office@webconsulting.at.
Parts of this content were created with the assistance of AI.
