@TheAhmadOsman: Been playing with @PrismML's new model that turned Qwen 3.5 27B into a sub-4GB and sub-6GB weights and I am impressed C…

X AI KOLs Following Models

Summary

PrismML released a compressed version of Qwen 3.5 27B that fits in sub-4GB and sub-6GB memory, enabling impressive local AI performance.

Been playing with @PrismML's new model that turned Qwen 3.5 27B into a sub-4GB and sub-6GB weights and I am impressed Cannot believe how far Opensource and Local AI have come since Christmas (~8 months ago)
Original Article
View Cached Full Text

Cached at: 07/16/26, 04:03 AM

Been playing with @PrismML’s new model that turned Qwen 3.5 27B into a sub-4GB and sub-6GB weights and I am impressed

Cannot believe how far Opensource and Local AI have come since Christmas (~8 months ago)

Similar Articles

My Qwen 3.8 27B tests on limited VRAM (16-20GB)

Reddit r/LocalLLaMA

This article tests various quantized versions of the Qwen 3.8 27B AI model on limited VRAM setups, comparing their performance on tasks like animation generation, app development, and word generation.