Kobold ai gpu reddit If I put that card in my PC and used both GPUs, would it improve performance on 6B models? Right now it takes approx 1. it turns out torch has this command called: torch. Then I saw SHARK by Nod. KoboldAI not using my GPU . As of a few hours ago, every time I try to load any model, it fails during the 'Load Tensors' phase. isavailable(). You can use it to write stories, blog posts, reddit. With a 4090, you are well positioned to just do all this locally. It should open in the browser now. 5-Now we need to set Pygmalion AI up in KoboldAI. I also get the Kobold AI model erroring out for memory (in the 13B models) as well if I set the settings to high (I used to be able to get 3 choices in 6B models but Koboldcpp is not using the graphics card on GGML models! Hello, I recently bought an RX 580 with 8 GB of VRAM for my computer, I use Arch Linux on it and I wanted to test the Koboldcpp to see how the results looks like, the problem isthe koboldcpp is not using the ClBlast and the only options that I have available are only Non-BLAS which is not using the GPU and only the A second question would be - I assume that I will need to updgrade to using paid AWS "instances" - is it worth it ? I've seen its possible to install a kobold ai on my pc but considering the size of the NeoX Version even with my RTX4090 and 32GB Ram I think I will be stuck with the smaller modells. I recently bought an RTX 3070. I set my GPU layers to max (I believe it was 30 layers). Q2: Dependency hell nah is not really good to run the program let alone the models as even the low end models requiere a bigger gpu, you have to use the collabs though if you want to do that i recommend using the tpu collab as is bigger and it gives better responses than the gpu collab in short 4gb is way to low to run the program using the collabs are the only way to use the api for janitor ai in AMD GPU driver install was confusing, this youtube video explains it well "How To Install AMD GPU Drivers In Ubuntu ( AMD Radeon Graphics Drivers For Linux )" by SSTec Tutorials When creating a directory for KoboldAI, do not use "space" in the folder name!!!! I named my folder "AI Talk" and nothing worked, I renamed my folder to "AI-Talk" and The AI always takes around a minute for each response, reason being that it always uses 50%+ CPU rather than GPU. Something I've noticed is that the memory requirements for the same AI model seem higher for KoboldAI than for CloverEdition. I had a failed install of Kobold on my computer Before you set it up there is a lot of confusion about the kind of hardware people need because AI is a lot heavier to run than video games. KoboldAI join leave 12,075 readers. Next more layers does not always mean performance, originally if you had to many layers the software would crash but on newer Nvidia drivers you get a slow ram swap if you overload the layers. I have a ryzen 5 5500 with an RX 7600 8gb Vram and 16gb of RAM. In my experience, the 2. ive downloaded, deleted and redownloaded Kobold multiple times, turned off my antivirus, and followed every instruction, however when i try and run the "play" batch file, it'll say "GPU support not found" is there way i can get my GPU working so i dont have to allocate all layers to my CPU? Ordered a refurbished 3090 as a dedicated GPU for AI. First I think that I should tell you my specs. 6B already is going to give you a speed penalty for having to run part of it on your regular ram. So it's not done in parallel, either. If we list it as needing 16GB for example, this means you can probably fill two 8GB GPU's evenly. Load the model you want and the option will appear to define how many layers you want your GPU to use. I'm wondering what the differences will be. I think it would load pretty slow, but in terms of inference, I'm not sure. What is actually best practice? (VAM + AI in VR being my ultimate goal). So, I found a pytorch package that can run on Windows with an AMD GPU (pytorch-directml) and was wondering if it would work in KoboldAI. Heres the setup: 4gb GTX 1650m (GPU) Intel core i5 9300H (Intel UHD Graphics 630) 64GB DDR4 Dual Channel Memory (2700mhz) The model I am using is just under 8gb, I noticed that when its processing context (koboldcpp output states "Processing Prompt [BLAS] (512/ xxxx tokens)") my cpu is capped at 100% but the integrated GPU doesn't seem to be doing Is there any alternative to get the software required for Kobold AI? Skip to main content. While the P40 is I have a 12 GB GPU and I already downloaded and installed Kobold AI on my machine. So you will need to reserve a bit more space on the first GPU. comments; Want to join? Log in or sign up in seconds. ai which was able to run stable diffusion in GPU mode for AMD systems according to their description. Thank you My overall thoughts on kobold are - the writing quality was impressive and made sense in about 90% of messages, 10% required edits. Kobold Horde is mostly designed for people without good GPUs. A place to discuss the SillyTavern fork of TavernAI. com KoboldAI. You can use it to write stories, blog posts, play a text adventure game, use it like a chatbot and more! In some cases it might even help you with an assignment or programming task (But always make sure the information the AI mentions is GPUs and TPUs are different types of parallel processors Colab offers where: GPUs have to be able to fit the entire AI model in VRAM and if you're lucky you'll get a GPU with 16gb VRAM, even 3 billion parameters models can be 6-9 gigabytes in size. Most 6b models are even ~12+ gb. Originally the GPU colab could only fit 6B models up to 1024 context, now it can fit 13B models up to 2048 context, and 20B models with very limited context. 5 minutes for a response from one. /r/StableDiffusion is back open after the protest of Reddit With your specs I personally wouldn't touch 13B since you don't have the ability to run 6B fully on the GPU and you also lack regular memory. StableAudio — AI Music Has Entered The Game. Reply reply Dear-Ad-798 A few days ago, Kobold was working just fine via Colab, and across a number of models. Welcome to KoboldAI on Google Colab, GPU Edition! KoboldAI is a powerful and easy way to use a variety of AI based text generation experiences. | English; limit my search to r/KoboldAI. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app In today's AI-world, VRAM is the most important parameter. I read that I wouldn't be capable of running the normal versions of Kobold AI with an AMD GPU so I'm using Koboldcpp is this true? There's really no way to use Kobold AI with my specs? Hi everyone I have a small problem with using kobold locally. Well I don't know if I can post the link here, more after my disappointment when using the normal version of koboltAI (due to excessive GPU spending leaving me stuck with "weak" models). get reddit premium. bat to start Kobold AI. In other places I see it’s better to offload mostly to gpu but keep some on cpu. You want to make sure that your GPU is faster than the CPU, which in the cases of most dedicated GPU's it will be but in the case of an integrated GPU it may not be. For watherver reason Kobold can't connect to my GPU, here is something funny though It used to work fine. I've reisntalled both kobold and python ( including torches etc. Info: Ryzen 5 3600xt, 16gb ram, Nvidia 3090. I’ve already tried setting my GPU layers to 9999 as well as to -1. Discussion for the Welcome to KoboldAI on Google Colab, GPU Edition! KoboldAI is a powerful and easy way to use a variety of AI based text generation experiences. At the bare minimum you will need an Nvidia GPU with 8GB of VRAM. It's almost always at 'line 50' (if that's a thing). **So What is SillyTavern?** Tavern is a user interface you can install on your computer (and Android phones) that allows you to interact text generation AIs and chat/roleplay with characters you or the community create. koboldcpp does not use the video card, because of this it generates for a very long time to the impossible, the rtx 3060 video card. cuda. View community ranking In the Top 10% of largest communities on Reddit. I don't want to split the LLM across multiple GPUs, but I do want the 3090 to be my secondary GPU and leave my 4080 as the primary available for other things. 30/hr depending on the time of day. My drivers are up to date. If you choose minus one you choose to give the GPU (the fastest person of the group) all the work and let the others do nothing. If you select a model from the AI menu and wait a few seconds for it to download the right config file does it show that slider along with a slider for your GPU? Click on the "New UI" When the kobold web page appear. You can also run a cost benefit analysis on renting gpu time vs buying a loca GPU. r/KoboldAI A chip A close button. Even at $. The model is also small enough to run completely on my VRAM, so I want to know how to do this. Running on two 12GB cards will be half the speed of running on a single 24GB card of the same GPU generation. KoboldAI uses this command, but when I tried this command out on my normal python shell, it returned true, however, the aiserver doesn't. When choosing Presets: Use CuBlas or CLBLAS crashes with an error, works only with Get an ad-free experience with special benefits, and directly support Reddit. 7B models take about 6GB of VRAM, so they fit on your GPU, the generation times should be less than 10 seconds (on my RTX 3060 is 4 s). 6-Chose a model. This post discusses multi-GPU using Stable Diffusion, and while in the case of SD they're running multiple instances, not one shared instance, which is different than what Kobold is doing, it isn't clear to me that PCIe at 1x would significantly starve the GPU cores. But I have more recently been using Kobold AI with Tavern AI. 9 users here now. Great card for gaming. For GPU users you will need the suitable drivers installed, for Nvidia this will be the propriatary Nvidia driver, for AMD users you will need a compatible ROCm in the kernel and a compatible GPU to use this method. In that case you won't be able to save your stories to google drive, but it will let you use Kobold and download your saves as json locally. I'd like some pointers on the best models I could run with my GPU. 18 and $0. So now its much closer to the TPU colab, and since TPU's are often hard to get, don't support all models and have very long loading times this is just nicer to use for people. When I offload layers to the GPU, can I specify which GPU to offload them to, or is it always going to default to GPU0? A place to discuss the SillyTavern fork of TavernAI. To do that, click on the AI button in the KoboldAI browser window and now select the Chat Models Option, in which you should find all PygmalionAI Models. The context is put in the first available GPU, the model is split evenly across everything you select. use the following search parameters to narrow your Just as the title says, it takes 27 seconds on gpu and 18 seconds on cpu (generating a longer version) even on the same prompt. . Disk cache can help sure, but its going to be an incredibly slow experience by comparison. Not just that, but - again without having done it - my understanding is that the processing is serial; it takes the output from one card and chains it into the next. I currently rent time on runpod with a 16vcore CPU, 58GB ram, and a 48GB A6000 for between $0. It is also more Koboldcpp is a great choice, but it will be a bit longer before we are optimal for your system (Just like the other solutions out there). ) and It worked fine for a while . It was a decent bit of effort to set up (maybe 25 mins?) and then takes a decent bit of effort to run (because you have to prompt it in a more specific way, rather than GPT-4 where you can be really lazy with how you write the prompts and it still gets it). I've already tried forcing KoboldAI to use torch-directml, as that supposedly can run on the GPU, but no success, as I probably don't understand enough about it. I've heard using layers on anything other than the GPU will slow it down, so I want to ensure I'm using as many layers on my GPU as possible. When I replace torch with the directml version Kobold just opts to run it on CPU because it didn't recognize a CUDA capable GPU. I think that model actually use GPU but it slow because of disk cache, check VRAM usage in task manager on windows or by nvidia-smi on Linux. Open menu Open navigation Go to Reddit Home. Some say mixing the two will cause generation to be significantly slower if even one layer isn’t offloaded to gpu. And if that fastest person can handle the amount of work that is the best option for Kobold because of how fast those GPU's are. Anybody have an idea how to quickly fix this problem ? I used the readme file as an instruction, but I couldn't get Kobold Ai to recognise my GT710. Get app Are you trying to run locally with an NVIDIA graphics card, or CPU only (very slow) or using Horde? /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will 4-After the updates are finished, run the file play. 30/hr, you’d need to rent 5,000 hours of GPU time to equal the cost of a 4090. Your computer is probably faster than a lot of the As an addendum, if you get an used 3090 you would be able to run anything that fits in 24GB and have a pretty good gaming GPU or for anything else you wanna throw at it. My old video card is a GTX970. My system has 16 GB system memory, and 8 GB onboard video memory (with an additional 8 I was picking one of the built-in Kobold AI's, Erebus 30b. I later read a msg in my Command window saying my GPU ran out of space. dcz jeaaq wfn vhcc xcud cqu dgzpxi kqjabjc mvggk zadyzz