Looking for any model that can run with 20 GB VRAM. Thanks!
a finetunning of mistral can be insane haha
I do test a bunch of models, as of today I would say it is dolphin-2_2-yi-34b
People, one more thing, in case of LLM, you can use simulationsly multiple GPUs, and also include RAM (and also use SSDs as ram, boosted with raid 0) and CPU, all of that at once, splitting the load.
So if your GPU is 24GB you are not limited to that in this case.
In practice: I used https://github.com/oobabooga/text-generation-webui
Copied Augmental-Unholy-13B-GGUF folder to models folder. In UI I just selected load model, it automatically switched to llama.cpp.
But there is setting n-gpu-layers set to 0 which is wrong, in case of this model I set 45-55. The results was loading and using my second GPU (NVIDIA 1050ti), while no SLI, primary is 3060, they where running both loaded full. n_ctx setting is “load of CPU”, got to drop to ~2300 for my CPU is older. Now it ran pretty much fast, up to Q4-KM. Most slowdown was caused while 100%SSD load, that’s why I think of RAID 0 (which would be ideal because it was one big chunk at top speed), but didn’t brought that another physical drive jet.
Batch 512, thread’s 8, threads batch 8, these settings where pure quess but it worked, and got to get back to it to understand properly. This subinformation may help if you want to try that on old AMD faking to be FX 8370 8core, and 14GB DDR3 RAM acting as 10GB.
How did you set settings for memory sharing (layers) between gpus? I have 2 gpus: 3060Ti and 3060 and it seems like it tries to load everything on the first one and goes out of memory.
zephyr-7b-beta works the best for me
For some people “uncensored” means it hasn’t been lobotomized, but for others it means it can write porn.
Pot que no los dos
I like Wizard Vicuna Uncensored
34B Nous-capybara was the only model I could use reliably for complicated nlp and json output. My go to for any real work. The first, really.
gguf goliath will give you best answers but will be very slow. you can unload like 40 layers to vram and your ram will still be a speed bottleneck, but i think 2 t/s are possible on 2 bit quant.
Best experience I had was with TheBloke/Wizard-Vicuna-30B- Uncensored-GGML
Best 30B llm so far in general. Censorship kill’s capabilities
you can probably run TheBloke/Chronoboros-33B-GGUF pretty ok.
Best is subjective, but the recently released LLAMA2-13B-Psyfighter2 is phenomenal, in my opinion. https://huggingface.co/KoboldAI/LLaMA2-13B-Psyfighter2-GGUF
Better than tiebreaker?
Im using this and its shockingly great:
https://huggingface.co/TheBloke/Xwin-MLewd-7B-V0.2-GPTQJust discovering TheBloke/Xwin-MLewd-13B-v0.2-GPTQ
I’ve used the gguf version of Xwin-MLewd-13b and it’s the smartest 13b I’ve found so far
What is the app you’re using it in? I tried the 13b in Ooga Booga and wasn’t able to make it work consistently (goes and replies instead of me after a short while)
I just recently wrote my own pure python/chromadb program but before i had great success in oogabooga and this model. I think maybe there is a setting that is overlooked that maybe i enabled in oobabooga or maybe its one of the generation kwargs that just seems to work flawlessly. The model has issues with keeping its self separate from the user so take care in your wording in the system message too.
having seen the model’s tokenizer.default_chat_template that isnt unbelievable, its a real mess with impossible conditions.
My health is keeping me from making a better response but If you’re dead set on using it message me and we’ll work it out together. I like this model the most.
Wonder what card you have that’s 20GB?
What are you looking for?
With a 3090, you can run any 13b model in 8 bit, group size 128, act order true, at decent speed.
Go-tos for the more spicy stuff would be Mythomax and Tie fighter.
Do you know if 13b-8bit is better than 70b quantized?
https://github.com/ggerganov/llama.cpp/pull/1684 Higher parameter should be always better
That’s actually so funny, the 2 times I’ve asked this before, I get downvoted to shit.