localLLMrig

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• TurboFloppy #DuFehlst@darkfloppy1.bsky.social02/11/2026 08:13

  Damit ihr es auch mitbekommt. Spiele viel mit Qwen3.8-Flash-Next. Angenommene Kostenersparnis mit einer 7600XT 16GB gegenüber einem vergleichbarem NV-Setup um die 100-150%. Okay? Hab die Karte bei mir gesteckt. Stimmt.

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• saurabhbhayana.bsky.social@saurabhbhayana.bsky.social01/11/2026 16:11

  Can you run your own private ChatGPT on a laptop? A small model, yes: about 4 to 5 GB of memory. A 70B model needs 35 GB or more even compressed. How much memory a local LLM really needs: https://saurabhbhayana.com/can-i-run-an-llm-on-my-laptop

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• InsiderLLM@insiderllm.bsky.social01/11/2026 12:10

  Qwen 3.8-27B peaks 254 MiB above 3.6-27B on the same 3090, same quant, and that includes the MTP block 3.6's stock GGUF doesn't carry. Generation speed is a wash. Measured on my own card, not read off a model card. #LocalAI

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• Unsloth AI@unsloth.ai31/10/2026 12:14

  Your local LLM can now take control of a browser and complete tasks autonomously via Unsloth! Qwen3.8-27B successfully controlled the browser to complete tasks like chess, painting, with no human intervention. GitHub: github.com/unslothai/un... Guide: unsloth.ai/docs/basics/...

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• Dirk Eddelbuettel@eddelbuettel.com31/10/2026 12:14

  Agentic Statistical Programming with Local Models Using local models is an attractive way of LLM use. Set up can be tricky: information is scattered and scarce. I am planning a public lecture / talk on Nov 11 to demistify. With an #Rstats demo but portable. More at github.com/eddelbuettel...

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