GLM-130B VS Bento

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

Then tried to install 'Bento' startpage (not a startpage user, so a first here)... decided to go for what looked like the simpler option and install 'Bento' as a 'New Tab Page' using author's recommended 'Custom New Tab Page' extension... from which point the 'howto' instructions are slim to nonexistent... and although tried several different options... no joy... no 'Bento' startpage could be made to appear... sigh. :(

There are generally 3 types of start pages ones that have add-ons, simple html sites ("demos") and self hosted start pages. Installing the add ons should be simple and can be applied to both your homepage/new tab.

I'm just gonna assume that you are referring to migueravila/Bento's repo. Best tip for working with any Github Project is to thoroughly read through the README.md file. Reading through it we can find the Buttons & Links Section. There they specify to change the config.js of which there is only one in the repo. This file seems to have all the configuration settings we can possibly change. Things like your name, the background image, and greetings. But once you come across the firstButtonsContainer object this seems to store all links for your shortcuts. Here you should be able to modify the name, icon and link to show what you'd like. You will of course need to do this on whatever local repo you are using to serve your webpage.

Hey r/SideProject ! Project Link Bento is a self hosted Startpage fully customizable following a minimalist design and with focus in usability. I'm pretty happy to post this project here for the first time! Hope you all like it!

Project Link

Miguel's Bento seemed to be the best fit for me after trying a few different startpages. I added a list that shows the most recent free games from r/FreeGameFindings and converted the bottom buttons to a listing.

Nah it's good, this one has a startpage made for it as well