19 comments

  • maxmcd 1 day ago
    Looks like this is a wrapper around: https://github.com/mlc-ai/web-llm

    Which has a full web demo: https://chat.webllm.ai/

    • swores 1 day ago
      Is this correct?

      It doesn't seem so to me, either from the way it works or from what little of the code I've looked at...

      But I don't have time to do more than the quick glance I just did at a few of the files of each and need to run, so hopefully someone cleverer than me who won't need as much time as me to answer the question could confirm while I'm afk

      • refulgentis 1 day ago
        Entirely correct, c.f. LLM.ts. The bit to Show HN here, is about ~40 lines of code. Simple Typescript MVP of calling the library.

        (source: maintains an LLM client that works across MLC/llama.cpp/3P providers; author of sibling comment that misunderstood initially)

        • swores 22 hours ago
          Thanks! (Have to admit your sibling comment confused the hell out of me.)
    • refulgentis 1 day ago
      I am to see it regardless - projects been very low activity for months. Just last night I was thinking about ripping it out before launch. No observable future.

      EDIT: Ah, wrapper ~= using it as a dependency, no more

  • echoangle 1 day ago
    Fun demo but the model that's used seems to be pretty stupid:

    > What's the best way to get to space?

    >> Unfortunately, it's not currently possible for humans to travel to space in the same way that astronauts do. While there have been several manned missions to space, such as those to the International Space Station, the technology and resources required to make interstellar travel feasible are still in the early stages of development.

    >> Currently, the fastest spacecraft is the Apollo missions, which took around 77 hours to reach the Moon. From there, they traveled to other planets, but the distances between them are so great that even at high speeds, it would take many years to reach them.

    >> As for traveling to space itself, there are no commercial or private companies that offer space travel services, and the cost of such a journey is estimated to be in the tens of millions of dollars per person.

    >> However, there are some concepts and technologies being explored that might one day make space travel more accessible and affordable. For example, private companies like SpaceX and Blue Origin are working on developing reusable rockets that could potentially take people to space more quickly and reliably.

    >> But for now, let's just say that space travel is still in the future, and we'll have to wait a bit longer for humans to venture into the cosmos!

    • khalic 21 hours ago
      Are you kidding me? 500MB? And it’s that coherent?
    • tomrod 1 day ago
      It shows an interface of what could be.
    • andreinwald 1 day ago
      It works on small Llama-3.2-1B model, specially for less powerfull GPU devices
    • fooker 1 day ago
      It’s broadly correct, if you interpret ‘humans’ as ordinary humans who are not astronauts.
      • dragonwriter 1 day ago
        That generous redefinition.of “humans” deals with only the error in the first sentence of the response; the rest is still not “broadly correct” even with it in place.
      • wongarsu 1 day ago
        Blue Origin is built on taking ordinary humans to space. So is/was Virgin Galactic, though they are in a bit of a transitionary phase right now. SpaceX is also willing, they might even take you on a flyby of the moon if you bring money and patience (iirc the last customer lost patience). Basically just ring up your favorite multi-billionaire's space program. And while the estimated price would be correct for SpaceX, rumored prices for Blue Origin's New Shepard are only in the hundreds of thousands per seat

        Edit: also the "but if you do that you are an astronaut, so it's still true that only astronauts can do that" loophole was closed when the FAA redefined the word astronaut in 2021. At least if you follow their definition of the word

  • scottfr 1 day ago
    There is a Prompt API in development that's available in both Chrome and Edge to give access to a local LLM. Chrome extensions have access to it and I believe websites can request access as part of an origin trial.

    The model is fully managed by the browser. It's currently the Gemini Nano model on Chrome, and they are testing a version of the Gemma 3n model in beta channels. Edge uses phi-4-mini.

    More information is available here: https://github.com/webmachinelearning/prompt-api

  • petermcneeley 1 day ago
    This demo only works if you have the webgpu feature "f16". You can find out if you have this by checking for the feature list in https://webgpureport.org/ . The page itself can of course check for this but since f16 support is common they probably just didnt bother.
  • AndrewDucker 1 day ago
    I asked "Why is the sky blue?" and got back a response of

    "coppia RR TalentDevExpressincer+'.//////////////////////////////////////////////////////////////////////// cha ولا.AutoSizesaving proleงคicate Like"/>

    infos эти za cornerback economical (%]\ enumligne.execRELEASEPropagation_station Bucks проHEME seas GASPOST[Unit(suffix Gloves"

    (and so on, for a few more paragraphs).

    Am I missing something?

    • gorkish 15 hours ago
      Set llm-auto-lobotomy to disabled in chrome:flags. I think this is only available in canary at the moment
    • amelius 1 day ago
      Well, at least it is more informative than an answer like "42".
    • 0points 22 hours ago
      > Am I missing something?

      Realistic expectations.

      • AndrewDucker 21 hours ago
        It seems to be working for some people. I'm just curious whether there was something I could change to make it work.
    • yahoozoo 19 hours ago
      fuck me it’s hacking the internet
  • 201984 13 hours ago
    Any way to make this use my actual GPU instead of the terrible integrated one?
  • dataviz1000 1 day ago
    Very cool!

    For some awesome examples of running different types of models in webgpu check out the examples folder here. https://github.com/huggingface/transformers.js

  • andreinwald 1 day ago
    Model used: Llama 3.2 1B (small). Quality hould be similar with running Ollama app with same small model.
  • gulan28 1 day ago
    I did this with mlc @ https://wiz.chat some time ago.

    Warning: it has a llama 3.1 7b model and is around 4 gb. It needs either a GPU or a Macand works only on chrome

  • asim 1 day ago
    What's the performance of a model like vs an OpenAI API? What's the comparable here? Edit: I see it's same models locally that you'd run using Ollama or something else. So basically just constrained by the size of the model, GPU and perf of the machine.
    • andreinwald 1 day ago
      Yes, its very similar to Ollama app, and Llama-3.2-1B model used
  • apitman 1 day ago
    Does anyone know why all of these WebGPU LLM demos have you download the models to browser storage rather than letting you open a gguf already on your local drive? I have several models downloaded already that I would be interested in trying.
    • ethan_smith 1 day ago
      WebGPU's security model restricts direct file system access, requiring models to be loaded through fetch/cache APIs rather than local file paths.
    • fooker 1 day ago
      Browsers are sandboxed away from user storage.

      You can change this by changing settings, command line arguments, build flags, etc. But can’t really expect people to do this just to use your website.

      • apitman 1 day ago
        You can open a file for performant access in all major browsers. It's the same API used for uploading files (<input type="file" />), but you can also just load them into memory and do stuff.
        • fooker 1 day ago
          Sure, with the caveat that the file is specifically selected by the user.
          • phatskat 9 hours ago
            Which sounds ideal for this scenario, right?
          • baobun 17 hours ago
            I read that as the ask, yes.
  • om8 1 day ago
    To have a gpu inference, you need a gpu. I have a demo that runs 8B llama on any computer with 4 gigs of ram

    https://galqiwi.github.io/aqlm-rs/about.html

    • adastra22 1 day ago
      Any computer with a display has a GPU.
      • om8 1 day ago
        Sure, but integrated graphics usually lacks vram for LLM inference.
        • adastra22 1 day ago
          Which means that inference would be approximately the same speed (but compute offloaded) as the suggested CPU inference engine.
  • cat-whisperer 1 day ago
    I've been following the development of WebGPU and its potential applications, and this demo is a great example of what's possible.
  • cgdl 1 day ago
    Which model does the demo use?
  • RagnarD 1 day ago
    Cool idea but badly broken from a little testing.
  • andsoitis 1 day ago
    very cool. improvement would be if the input text box is always on screen, rather than having to manually scroll down as the screen fills.
  • pjmlp 1 day ago
    Beware of opening this on mobile Internet.
    • andreinwald 1 day ago
      Demo site is asking before download
    • lukan 1 day ago
      Well, I am on a mobile right now, can someone maybe share anything about the performance?
      • pjmlp 1 day ago
        Not everyone enjoys unlimited data plans, and 500 MB is schon a lot.
      • andreinwald 1 day ago
        On my Android device works pretty fast.

        But keep in mind that it's small Llama-3.2-1B model, specially for less powerfull GPU.

  • Martin_Silenus 1 day ago
    [dead]