Thank you for that! I'm currently developing an app and need good RSS feeds, found it!

I’m not sure if ‘modelgen’ is a good name, it sounds AI-related.

3DCode, 4DCode, Next3D, OrganicCode, 3Gee, 3DKode, Object-Code, AnimatreeD, 3DFormat, ThreeDee (I like making up names for things)

Hey!

Thank you for sharing your project details with us. I like it. If you make this available to the public, please share it with us. I do have a question though, how fast is it rendering an image (for example the desk fan)?

It doesn’t yet support textures, normals, normal maps, armatures, morph targets, animations, etc but all of that is planned to happen at some point. This. I'm hyped to see this!

I'm impressed tbh, and 100% a future user of your software. You wouldn't believe me if I tell you this but a couple of weeks ago I had a similar idea but I never worked on it. There must be a reason why I crossed your path (and vice versa). I tried to create a CGI video project, and I thought it would be way faster and easier to create it with code than manually creating it

Out of curiosity, what is your personal opinion on Blender?

https://programming.dev/c/HackShelf

I haven't posted yet but for any upcoming project I will use it =)

It's called HackShelf

Let's create a community then? :)

Thank you so much, I appreciate your comments. It means a lot to me. :)

The only reason why I did this project was because someone showed up in my feed with a post about a DS Lite hack. We're all inspiring each other haha :D

However for me this is not on topic for selfhosting

I'm always struggling to find the right community for posting. Which place would be the best?

Exactly, yes. And I use the Raspberry Pi Zero 2W as a WiFi AP (RPi is connected to my home network and to my DS Lite) because the Nintendo DS Lite only supports WEP encryption. So that the DS Lite is able able to send requests to my inference on the MacBook Air

This is the model:

{
  "data" : [
    {
      "context_window" : 4096,
      "created" : 1719792000,
      "id" : "apple-foundationmodel",
      "notes" : "Apple on-device model via FoundationModels framework. Unsupported parameters are rejected with 400 when present (except n=1 and logprobs=false). Supported languages: it, zh, fr, en, nb, fr, da, es, es, es, vi, zh, de, pt, tr, en, zh, sv, nl, ja, en, ko, pt",
      "object" : "model",
      "owned_by" : "apple",
      "supported_parameters" : [
        "temperature",
        "max_tokens",
        "seed",
        "stream",
        "tools",
        "tool_choice",
        "response_format",
        "x_context_strategy",
        "x_context_max_turns",
        "x_context_output_reserve"
      ],
      "unsupported_parameters" : [
        "logprobs",
        "n",
        "stop",
        "presence_penalty",
        "frequency_penalty"
      ]
    }
  ],
  "object" : "list"
}

and I'm running it on a MacBook Air M4 16 GB. "Apfel" (the CLI tool) is kinda a wrapper around it and exposes an OpenAI compatible API.

That's really cool!

I use the Kaico DSpico Flashcart and on the RPi Zero 2W I use a bash script (because I don't want to host it permanently) with hostapd, iw, dnsmasq, socat, and iproute2. For HTTP and JSON I use my own implementation, no library. The rest is documented in the post.

Did some experiments with my DS Lite and ended up with this. Using DevkitPro libs (libnds, dswifi, calico). Apfel on macOS and a wifi (WEP) bridge running on a RPi Zero 2W. 🖤