Quick Introduction We have all been on forums, chats, reddit, discord, youtube, or somewhere and heard “Oh! Model XYZ is AMAZEBALLZ!zomgwtfbbq” then downloaded it (or more likely, some quantized form of it) and said “eww… This sucks!” This post is going to be a rather technical series of experiments to demonstrate the impact of implementation-specific hazards with inference. I will be using the term “reference implementation” to describe the lab that published and offers first-party hosting of ...
  • frongt@lemmy.zipEnglish
    5·
    2 days ago

    Not any more than any other local service. Ollama makes it really easy to get started. The ministral models are small but still useful.

      • frongt@lemmy.zipEnglish
        41·
        2 days ago

        Yeah, I’m just saying it’s a really easy way to get started, without being overwhelmed by formats and quantizations and top-k and stuff. You run it, it goes, then you can move to something better.

        • brucethemoose@lemmy.worldEnglish
          2·
          2 days ago

          Its sleazy software, and IMO its defaults provide a really terrible 1st time experience. It convinces 1st time users that locally run LLMs are terrible, and goes out of its way to be incompatible with other stuff.

          I think LM Studio would be a much better “1st time” recommendation. Its not perfect either, but its lightyears better, not an active con like ollama, and its smoother to “graduate” from it to croco.cpp or llama.cpp or something.

    • nullroot@lemmy.worldEnglish
      1·
      2 days ago

      Pretty funny. Most of this article was saying that ollama sucks now and they’re just popular because there were one of the first. Personally I started with them, too, but constantly ran into issues with them. I’ve have much better experiences with jan, open web UI, and LM studio. The first two are foss, and the second properly attributes their use of open source projects, unlike ollama.

      Edit: nevermind, it’s the link below me. It’s still early in the morning, my bad