GLM-130B VS dashy

The https://github.com/THUDM/GLM-130B model is trained on The Pile and can run on 4x3090 when quantized to INT4. I'm wondering if anyone knows if this model could (or has) been quantized using GPTQ, which gives some impressive performance gains over traditional quantization, and I'm also wondering if anyone has tried a 3-bit or 2-bit quantization of such a massive model (using GPTQ). Are there any inherent limitations in this? Is there anything about this model that prevents it from being run on text-generation-webui?

> GLM-130B, a model comparable with GPT-3, has 130 billion parameters in FP16 precision, a total of 260G of GPU memory is required to store model weights. The DGX-A100 server has 8 A100s and provides an amount of 320G of GPU memory (640G for 80G A100 version) so it suits GLM-130B well.

https://github.com/THUDM/GLM-130B/blob/main/docs/low-resourc...

GLM-130B[1] (a 130 billion parameter model vs GPT-3's 175 billion parameter model) is able to run optimally on consumer level high-end hardware, 4xRTX 3090 in particular. That's < $4k at current prices, and as hardware prices go one can only imagine what it'll be in a year or two. It also enables running with degraded performance on lesser systems.

It's a whole lot cheaper to run neural net style systems than to train them. "Somebody on Twitter"[2] got it setup, and broke down the costs, demonstrated some prompts, and what not. Cliff notes being a fraction of a penny per query, with each taking about 16s to generate. The output's pretty terrible, but it's unclear to me whether that's inherent or a result of priority. I expect OpenAI spent a lot of manpower on supervised training, whereas this system probably had minimal, especially in English (it's from a Chinese university).

[1] - https://github.com/THUDM/GLM-130B

[2] - https://twitter.com/alexjc/status/1617152800571416577

GLM-130B in 4 bit mode is better than GPT3 and can run on 4 RTX-3090s. Still expensive but it’s getting closer. https://github.com/THUDM/GLM-130B

https://github.com/THUDM/GLM-130B might be a useful place to look

I personally use homepage, but dashy has also been highly reccomended.

Dashy is worth checking out if you're liking Organizr.

For dashy you could start a GitHub discussion https://github.com/Lissy93/dashy or open an issue on the repository if you think you found a bug.

If you would like to use Dashy on you Proxmox host without the need for docker - I have updated and created this script to allow you to do it.

I went from Homer/Heimdall to Dashy but decided to stick with Homepage.

I simply want to turn a printer on/off from an existing web dashboard (https://github.com/lissy93/dashy) entirely within my own LAN - no apps, no smart assistants, no cloud. I see things like TP-Link Tapo but they want an app and cloud services. Does a product like this exist? Could I reflash something with an free/open OS like Tasmota?

Here's a link for ya. Sorry was on mobile before. https://github.com/lissy93/dashy

One site to access home services. The first thing came to my mind is a homelab dashboard. - https://github.com/Lissy93/dashy - https://github.com/goauthentik/authentik