AINewsnow

Running a local server with Gemma 4 26b a4b on laptop rtx 4050 + 16gb ram dd5 and llama.cpp

I know this model is a bit old, and the local LLM community has already moved on to Qwen 3.6 35B and Qwen 3.8 27B. But being able to run Gemma 4 26B on my personal laptop and host a local server that I can access from my work laptop is amazing! Now I have a local AI assistant to help me with my eve…

Read the full story at r/LocalLLM ↗

Timeline · 1 report

  1. 2026-10-08 22:16 · r/LocalLLM
    Running a local server with Gemma 4 26b a4b on laptop rtx 4050 + 16gb ram dd5 and llama.cpp

More stories

  1. RPC: add `-sm tensor` by am17an · Pull Request #26610 · ggml-org/llama.cpp — r/LocalLLaMA
  2. 128K context on Qwen 3.5 4B in 800 MB instead of 4 GB: what we changed in our llama.cpp build. — r/LocalLLM
  3. Looking for developer-friendly inference providers who give you enough API credits to experiment [D] — r/MachineLearning
  4. unsloth/Qwen3.8-Flash-Next-GGUF is being updated — r/LocalLLaMA
  5. NInfer6000 - Qwen 3.8 Flash Next @ 400 tg/s & 13K pp/s — r/LocalLLaMA
  6. Story time: Qwen3.8-Flash-Next on my Strix Halo laptop vs Claude Opus 5.5 on the same feature — r/LocalLLaMA
  7. Java vllm-like framwork claims 90% of perfomance of llama.cpp on local inference on NVIDIA GPUs by compiling Java to CUDA and cuTile — r/LocalLLM
  8. Worth moving on from Qwen3.6 35B A3B UD on a gaming PC? — r/LocalLLM

Get the daily brief of stories like this at 6:30 every morning →