I have avoided AI (LLMS) because it didn’t seem nearly useful enough to warrant supporting these tech assholes. Is there anyway to use it locally on a normal device (16 Gb ram, 8 year old Geforce graphics, etc?). Can I just slow it down and get it to work locally?

    • bumblebeer@lemmy.world
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      13 hours ago

      ollama

      Shittiest local inference engine. Use llama.cpp instead.

      qwen 3:4b-instruct

      Old version 3 model from Alibaba. 4 billion parameters total. It will struggle with anything other than natural language generation.

      on 6vCPU and no GPU

      Running on a 6 vcore VM with no GPU pass through.

      TTFT

      Time.To.First.Token. How long it takes the model to start responding after you hit enter. Dependent on not only processing speed but also context length.

      prompt is uncached

      Cold start = no cache = slow. But faster when mid conversation and the key-value cache is hot.

      100tps

      100 tokens per second. 1 token is roughly 1/4 word.