<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hugging-Face on Singularity</title><link>https://singularity.sg/tags/hugging-face/</link><description>Recent content in Hugging-Face on Singularity</description><generator>Hugo</generator><language>en-SG</language><copyright>(c) {year} Abhishek Dujari</copyright><lastBuildDate>Sat, 15 Aug 2026 12:00:00 +0800</lastBuildDate><atom:link href="https://singularity.sg/tags/hugging-face/index.xml" rel="self" type="application/rss+xml"/><item><title>Running Qwen Image Edit 2511 4-bit on Amazon EKS</title><link>https://singularity.sg/2026/08/running-qwen-image-edit-2511-4-bit-on-amazon-eks/</link><pubDate>Sat, 15 Aug 2026 12:00:00 +0800</pubDate><guid>https://singularity.sg/2026/08/running-qwen-image-edit-2511-4-bit-on-amazon-eks/</guid><description>&lt;p&gt;I published &lt;a href="https://huggingface.co/ovedrive/Qwen-Image-Edit-2511-4bit"&gt;Qwen Image Edit 2511 4-bit&lt;/a&gt; as a selective NF4 quantization rather than quantizing every transformer layer indiscriminately. Some layers remain at higher precision to preserve output quality. The resulting Diffusers-compatible model can operate below 20 GB of VRAM, including on 16 GB GPUs with CPU offload.&lt;/p&gt;
&lt;p&gt;Gary Stafford used the model in his &lt;a href="https://garystafford.medium.com/deploying-qwen-image-edit-model-to-amazon-eks-with-gpu-acceleration-d71c7f4fca61"&gt;Amazon EKS deployment&lt;/a&gt;. His implementation packages the 17 GB model for an NVIDIA L40S, distributes it from S3 to node-local EBS, loads it into a FastAPI inference service, and reports model and GPU readiness through health checks. The accompanying &lt;a href="https://github.com/garystafford/qwen-image-edit-2511-eks-react"&gt;deployment repository&lt;/a&gt; includes the containers, Kubernetes manifests, caching DaemonSet, API, and end-to-end inference tests.&lt;/p&gt;</description></item></channel></rss>