runpodctl VS koboldcpp

You can rent a GPU on https://www.runpod.io/, which also has stable diffusion templates so any time you start the GPU SD will be preinstalled for you, ready to use:)

Another option is to use a service like www.runpod.io to rent time on more powerful systems. A few times a week I’ll load up whatever the latest 13B or 20/24B (and even low bpw 70Bs with EXL2) model is on a system with an rtx 3090 for $0.44/hr, and sometimes I’ll treat myself to an A6000 system to run 4bit 70Bs for $0.79/hr. They also offer A4000 systems with 16GB VRAM which is plenty to run a 4bpw 13B EXL2 model or an 8bpw 7B model, and those systems are just $0.36/hr.

Many people use sites like runpod for this.

You can rent time on systems on www.runpod.io with a 48GB A6000 for $0.50/hr spot pricing and $0.79/hr regular pricing. 3090s can be had for $0.29/hr spot pricing and $.44/hr regular.

Keep in mind you can also use www.runpod.io to rent access to systems with a 3090 for about $.45/hr. It might be significantly cheaper ir at least more affordable to do this for a few hours a week instead of dropping $1,000 on a new laptop. This is what I personally do (I generally use it in the evening, and can get an Nvidia A6000 with 48GB VRAM for $.49/hr spot pricing). This lets me play with the latest 33B and 65B models, with really fast replies, and I spend maybe $5-7 a week if I use it a lot.

you can also connect the volume to other cloud storage (pcloud, dropbox, etc) (look for the option cloud sync in the "my pods" console) , or use python libraries to pull/push files from S3 buckets / dropbox / ftps / your NAS / etc, or use their docker tools to transfer files between your local PC and the volumehttps://github.com/runpod/runpodctl/blob/main/README.md

FYI this is the easiest way to host on the horde: https://github.com/LostRuins/koboldcpp

For more information of Koboldcpp look this guide: https://github.com/LostRuins/koboldcpp/wiki

Out of curiosity, is there a specific reason for this? The most popular fork KoboldCpp is in active development, and was the first to adopt the Min P sampler, and even distincts itself with the context shift feature. Just wondering what this means for the future. Thanks!