News for hackers. Stuff that matters.

ssheng

Re:What is Azure thinking with this VM size NVadsA10 v5-series on Wednesday August 14, 2024 @05:58PM (#41250940)
To get a full A10, one must also get 36 vCPU and 440 GB of memory. I must be missing something.
Quality loss with quantization is expected. It seems like with GPTQ the loss is within acceptable range based on the perplexity score shown.
How does Exllama rank among these? Heard good things about it.
Re:Lamini Memory Tuning: 10x Fewer Hallucinations on Monday June 17, 2024 @05:35AM (#40703857)
Creative idea. Any data on how much it takes to load the LoRAs and how much latency it adds to the generation speed?
Hello! We're the authors of this blog post. Please let us know if there are other models and inference backends you'd like us to benchmark next.
FastAPI is great building block but can't expect it to work for model serving out of box.