Text generation · served with vLLM · ↓ 154 downloads a month · View on Hugging Face
TheBloke/guanaco-65B-GPTQ needs about 45.4 GB of GPU memory for conversations of up to 2,048 tokens. It runs on 2x RTX 3090 from $0.53/h right now; best value: RTX PRO 5000 at $0.68/h.
Weights
33 GB
GPU memory needed
about 45.4 GB
Conversation length
2,048 tokens
Model allows
2,048 tokens
Memory · disk
24.7 GB · 77 GB
Architecture
LlamaForCausalLM
Licence
other
Hardware and deploy
$0.68/h from your balance while it runs, billed by the hour; stop it from its page. GridPup rents the machine, which downloads the model from Hugging Face (usually ready in 10 to 15 minutes), and gives you an https address, keys and a Playground.
Questions
How much GPU memory does guanaco-65B-GPTQ need?
About 45.4 GB for conversations of up to 2,048 tokens: 33.49 GB of weights, the cache for one full-length conversation and the runtime's own memory.
What is the cheapest GPU to run guanaco-65B-GPTQ?
Right now 2x RTX 3090 at $0.53 an hour; RTX PRO 5000 at $0.68 an hour is the best value for its speed. Prices are live offers from GPU clouds, checked every 15 minutes.
Can guanaco-65B-GPTQ run on an RTX 4090?
Not on one: it needs about 45.4 GB and an RTX 4090 has 24 GB. Use a bigger GPU, or a smaller (quantized) version of the model.
How do I deploy guanaco-65B-GPTQ as an API?
Pick a machine on its GridPup page and press Deploy: GridPup rents the GPU, downloads the model from Hugging Face and serves it at an https address with keys and OpenAI's chat API, billed by the hour.
Prices are per hour for the whole machine and its disk, right now. Speed is Vast's DLPerf score of the machine, relative to the cheapest. Best value: the most speed per dollar. Only machines with a Vast reliability above 95% that download at 400 Mbit/s or more are offered: the machine fetches the model itself.