model roundup

Qwen 3.5

5 items · started 2026-06-10 · closed 2026-06-13

  1. Been testing DiffusionGemma 26B A4B for the last few days and the bottleneck profile is completely different from autoregressive models. With autoregressive models you are compute-bound during prefill and memory-bandwidth-bound during deco…

  2. I have tried preventing this issue by using llama.cpp flags. However, I still have the issue: whenever I'm close to my 96GB of RAM, llama-server / llama.cpp decides to offload the KV cache onto my swap.

  3. Lets clarify all things related to NVFP4 in this thread. Sharing few questions & links here.

  4. Claude Code like agentic workflow ai too costly for me.Any LLM can I run with VSCode at the below setup? 16ram Intel core i7 h processor 13gen 512gb NVMe SSD I want to run the ai as local agentic workflow with Vscode.I want use LLAMA agent…

  5. I've spent the last six months trying to build a fully local, agentic pipeline for a text_processing and extraction tool I use daily. ​Because I’m running everything on a single consumer GPU setup, my choices are limited to smaller, quanti…

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