GLM-130B VS chatgpt-google-extension

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

Like this one? ChatGPT for Google (chatgpt4google.com)

there is way use chatgpt api, for example you can see how to do it here https://github.com/wong2/chatgpt-google-extension

I want to reproduce what The extension https://chatgpt4google.com/ is able do. I need to log into my chatgpt account once, and then all the google queries are taken as prompt and output is shown for them and it doesn't even exhaust the credits.

For those interested, I think chatgpt4google[1] has a much cleaner implementation and works on a wide range of search engines and browsers. They also have an option to switch the searchengine from ChatGPT to OpenAI GPT3

[1] https://chatgpt4google.com/

Glad to see innovations based on my work https://github.com/wong2/chatgpt-google-extension

You can call ChatGPT API like other GPT-3 APIs now, with the model name: text-chat-davinci-002-20230126. I've integrated it with my open source extension https://github.com/wong2/chatgpt-google-extension

I use https://chatgpt4google.com