Which Quantization Method is Right for You? (GPTQ vs. GGUF vs. AWQ)

In this tutorial, we will explore many different methods for loading in pre-quantized models, such as Zephyr 7B. We will explore the three common methods for quantization, GPTQ, GGUF (formerly GGML), and AWQ.

Timeline
0:00 Introduction
0:25 Loading Zephyr 7B
3:25 Quantization
7:42 Pre-quantized LLMs
8:42 GPTQ
10:29 GGUF
12:22 AWQ
14:46 Outro

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[cken]

Amazing content! Most youtube tutorials just go into trying out the outputs of pre-made LLMs but rarely dive into this level of technical details.

[utsavdavda]

Thanks Maarten! I was searching for quantizing exactly the zephyr-7b-beta and I realized you used it halfway in the video!

[BitsNBytesAI]

Thanks a lot for clarifying the main differences between quantization methods and also for sharing your code.

[jacehua]

Thanks didn't want to feel too unproductive on a thanksgiving but didn't want to commit to a full video series. Always releasing timely and great stuff!

[wezfaas]

Thanks for including the colab, and I wasn't aware of AWQ before this video.
Would you consider making a video on the efficiency on each, especially when using gpu on gguf model?

[fzmnszt]

I was struggling with quantization last weekend! very timely! thanks

[gue]

Outstanding! (To put things in perspective: I've seen a LOT of praise for wrapping the obvious or marketing-only BS into lengthy videos and I'm not shy to speak my mind there too!)

[JGKorny]

Thank you for the informative video. I understood how I made a huge mistake using gguf when having the VRAM to use GPU primarily.

[sanjayojha]

Useful information and well made video.

[silentwindstudio]

Thanks for the video! What I don't understand is that people always say that AWQ is faster than GPTQ, but in my 3060 12gb they are usually quite slow, around 3t/s, while in gptq I can get from 5 to 20t/s

[rubencontesti]

Thanks, Maarteen. I wish you could share some performance comparison between the difference methods. I have been trying to find some but I couldn't. I do know that AWQ is better than GPTQ, but wish to compare it to GGUF.

[AmishaHSomaiya]

Thank you for the differences and the code.

[maryamashraf]

Thanks for this video - was a great explanation on the difference between the three models. How's the support for AWQ now? Also I would love it if you could make a video on how to deploy these quantized models for production

[naseerfaheem]

Great video and great comparisons. Can you make a video on how to quantize a model oneself as well?

[radmilraychev]

Really enjoyed this session! Any chance you can continue this by showing how to fine-tune this versions of the models?

[venushah]

Really enjoyed your video. It was very informative. Just wanted to know can finetuning be done on these pre-quantized models ??

[FamilyManMoving]

Brilliant video; you have a style that explains things nicely. Thank you. Sub'd.

If you are looking for ideas, I think an overview of what "weights, biases and parameters" mean for models would be great.

[yueyu]

Great content! I am wondering whether nowadays we should choose LLMs over BERT models on most tasks or use seperately based on specific use cases? That could be an interest topic to discuss!

[TheMrguiller]

Thank you so much for the video, i would like to know which method is faster at inference time.

[efexzium]

Great video, how ever its quite frustrating trying to run this code in production the dependencies are never correct.