noneabove1182

u/noneabove1182@sh.itjust.works
99 posts · 175 comments

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If you're using text generation webui there's a bug where if your max new tokens is equal to your prompt truncation length it will remove all input and therefore just generate nonsense since there's no prompt

Reduce your max new tokens and your prompt should actually get passed to the backend. This is more noticable in models with only 4k context (since a lot of people default max new tokens to 4k)

Colour me intrigued. I want more manufactures that go against the norm. If they put out a generic slab with normal specs at an expected price, I won't be very interested, but if they do something cool I'm all for it

Except I just noticed the part where it's developed by Meizu so nevermind probably will be a generic Chinese phone

Stop making me want to buy more graphics cards...

Seriously though this is an impressive result, "beating" gpt3.5 is a huge milestone and I love that we're continuing the trend. Will need to try out a quant of this to see how it does in real world usage. Hope it gets added to the lmsys arena!

Btw I know this is old and you may have already figured out your hardware and setup, but p40s and p100s go for super cheap on eBay.

P40 is an amazing $/GB deal, only issue is the fp16 performance is abysmal so you'll want to run either full fp32 models or use llama.cpp which is able to cast up to that size

The p100 has less VRAM but really good fp16 performance which makes it ideal for exllamav2 usage. I picked up one of each recently, p40 was failed to deliver and p100 was delivered while I'm away, but once I have both on hand I'll probably post a comparison to my 3090 for interests sake

Also I run all my stuff on Linux (Ubuntu 22.04) with no issues

You shouldn't need nvlink, I'm wondering if it's something to do with AWQ since I know that exllamav2 and llama.cpp both support splitting in oobabooga

Yeah q2 logic is definitely a sore point, I'd highly recommend going with Mistral dolphin 2.6 DPO instead, the answers have been very high quality for a 7b model

But good info for anyone wanting to keep up to date on very low bit rate quants!

I don't have a lot of experience with either at this time, I've used them here and there for programming questions but usually I stick to 7b models because I use them for code completion and I only find that useful if it completes the code before I do lol

That said, I've had overall good answers from either whenever I've decided to pull them out, it feels like wizard coder should be better since it's so much newer but overall it hasn't been that different. Wish phind would release an update :(

The 3060 is a nice cheap one for running okay sized models, but if you can find a way to stretch for a 3090 or a 7900 XTX you'll be able to run these 33B models with decent quant levels

I live in Ontario where we go down to -30C in the harshest conditions.

We have a heat pump and a furnace and they alternate based on efficiency

Somewhere around -5 to +5 C it switches from the heat pump to the furnace

I think you could get by a bit colder but it really loses out on efficiency vs burning gas unless you invest in a geothermal heat pump

It's definitely a little odd.. I'm glad they did any kind of official release for 0.2, but yeah information is sorely lacking and would be nice to have more, especially with how revolutionary the previous one was.. is this incremental? Is it a huge change? Is it just more fine tuning? Did they start from scratch? We'll never know 🤷‍♂️

The only concern I had was my god is it a lot of faith to put in this random twitter, hope they never get hacked lol, but otherwise yes it's a wonderful idea, would be a good feature for huggingface to speed up downloads/uploads