Kobold ai gpu reddit. Make sure you start Stable diffusion with --api.

Kobold ai gpu reddit. (VAM + AI in VR being my ultimate goal).

Kobold ai gpu reddit 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 So for now you can enjoy the AI models at an ok speed even on Windows, soon you will hopefully be able to enjoy them at speeds similar to the nvidia users and users of the more expensive 6000 series where AMD does have driver support. In my experience, the 2. 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 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 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 I used the readme file as an instruction, but I couldn't get Kobold Ai to recognise my GT710. Is Multi GPU possible via Vulkan in Kobold? I am quite new here and don't understand how all of this work, so I hope you will. r/Proxmox. If you want to run the 2. Or check it out in the app stores     TOPICS CUDA out of memory. it turns out torch has this command called: torch. 59 GiB reserved in total by PyTorch) I take it from the message this is a VRAM issue. If your answers were yes, no, no, and 32, then please post more detailed specs, because 0. I heard it is possible to run two gpus of different brand (AMD+NVIDIA for ex. 7 GB during generation phase - 1024 token memory depth, 80 tokens output length). . 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 could take the API link and it would work in pretty much everything I threw it into. You will have to toy around with it to find what you like. 00 GiB total capacity; 5. Memory is what the ai will actively try to remember as the story progresses. 7B-Nerys-v2 that would mean 32 layers on the GPU, 0 on disk cache. 3 can run on 4GB which follows the 2. I've reisntalled both kobold and python ( including torches etc. 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. cpp I offload about 25 layers to my GPU using cublas and lowvram. I'm using mixtral-8x7b. About the difference between GPU and TPU. bat file with no errors. The session closes because the GPU session exits. If Your PC can handle it, You can also use 4bit LLAMA models for Your PC, which uses the same amount of processing power but just plain better. Keeping that in mind, the 13B file is 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. 1 Template, give it a 20GB container and 50GB Volume, and deploy it. It should open in the browser now. I think it would load pretty slow, but in terms of inference, I'm not sure. Also don’t use disk cache! It’s very very slow. Info: Ryzen 5 3600xt, 16gb ram, Nvidia 3090. Your computer is probably faster than a lot of the I tried disabling my 2080 and then running 13B and 6. I was about to go out and buy an RX6600 as a second GPU to run the rocm branch. kobold-client-plugin does not support multiple instances connected to the same server - this convertible instance then 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. Kobold runs on Python, which you cannot run on Android without installing a third-party toolkit like QPython. They don't no, at least not officially and getting that working isn't worth it. Or check it out in the app stores     TOPICS Well tavern ai is just a front end UI which takes the local port of kobold ai, good work still, I can now finally buy a intel arc as my next gpu Hey all. I wouldn't be surprised if it was a quicker/smoother experience with some of the other options kobold Thank god for reddit. 30/hr depending on the time of day. 00 MiB (GPU 0; 6. __main__:device_config:916 - Nothing assigned to a GPU, reverting to CPU only mode You are using a model of type gptj to instantiate a model of type gpt_neo. I read that I wouldn't be capable of running the normal versions of Kobold AI Used KoboldAI, and after a few minutes, suddenly, stopped working. Kobold Horde is mostly designed for people without good GPUs. My old video card is a GTX970. (Or it can run Kobold but no models. Is a 3080 not enough for this? It requires GGML files which is just a different file type for AI models. My GPU/CPU Layers adjusting is just gone to be replaced by a "Use GPU" toggle instead. I run 13b ggml 5_k_m quant with reasonable speeds. Yes, Kobold cpp can even split a model between your GPU ram and CPU. I think I found the United repository, but the readme seems to be identical to the main KoboldAI repo. The reason its not working is because AMD doesn't care about AI users on most of their GPU's so ROCm only works on a handful of them. 6b ones, you scroll down to the gpu section and press it there. By splitting layers, you can move some of the memory requirements around. Good contemders for me were gpt-medium and the "Novel' model, ai dungeons model_v5 (16-bit) and the smaller gpt neo's. StableAudio — AI Music Has Entered The Game. This is a very helpful guide. You may also have tweak some other settings so it doesn't flip out. Assuming you have an nvidia gpu, you can observe memory use after load completes using the nvidia-smi tool. Or check it out in the app stores     TOPICS set up a pod on a system with a 48GB GPU (You can get an A6000 for $. cpp offloading 41 layers to my rx 5700 xt, but it takes way too long to generate and my gpu won't pass 40% of usage. If you use --usevulkan 0 1 it would use GPU 0 and GPU 1. The biggest reason to go Nvidia is not Kobold's speed, but the wider compatibility with the projects. And the AI's people can typically run at home are very small by comparison because it is expensive to both use and train larger models. Or check it out in the app stores   the model selection on the ColabKobold GPU page isn't showing any of the NSFW models anymore, at least not for me. You won't get a message from google, but the Cloudfare link will lose connection. KoboldAI join leave 12,075 readers. 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 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 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. Using kobold. The problem is that these guides often point to a free GPU that does not have enough VRAM for the default settings of VenusAI or You can't run high end models without a tpu. I want to run bigger models but i don't know if i should get another GPU or upgrade my RAM. View community ranking In the Top 10% of largest communities on Reddit. So it's not done in parallel, either. Ordered a refurbished 3090 as a dedicated GPU for AI. Don't bother with kobold the responses are like 50 token long max and they are so dry, I used like 3 models and they were all bad Tried kobold after my trail for o. I've tried both koboldcpp (CLBlast) and koboldcpp_rocm (hipBLAS (ROCm)). 32 GiB already allocated; 0 bytes free; 5. Db0 manages it, so he will ultimately be the arbiter of the rules as far as a need for contributions. Who'd have thought text RPG need powerful GPU, am I right? (Laugh nervously) But if you want to, there are many options as well. This subreddit has gone Restricted and reference-only as part of a mass protest against Reddit's recent API changes 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. io or vast. 7B in GPU+Disk only. You should be seeing If you want to run only on GPU, 2. ) and It worked fine for a while . Currently using m7-evil-7b-Q8 or SultrySilicon-7B-V1-Fix-Q4-K-S with virtualRealism_v12novae. 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). ) using Vulkan. NieR: Automata ending E GPU boots faster (2-3 minutes), but using TPU will take 45 minutes for a 13B model, HOWEVER, TPU models load the FULL 13B models, meaning that you're getting the quality that is otherwise lost in a quant. Haven't been able to get Kobold to recognize my GPU . And likewise we only list models on the GPU edition that the GPU edition can run. 3b models. I'm very new to Kobold AI, and was hoping someone could tell me how to go about fine-tuning my own model(s)? I mean there's a computer somewhere with a powerful GPU and you SSH into it or something to do the work on that computer instead of your own. Those will use GPU, and not tpu. 6 GB after a single back and forth New AI model menu and File Management by Ebolam (Not on Colab) You now have the freedom to change the AI model at any time with this brand new AI model menu. If you're running a local AI model, you're going to need either a mid-grade GPU (I recommend at least 8GB VRAM) or a lot of RAM to Recently i downloaded Kobold AI out of curiosity and to test out some models. New. It has the same, if not better, community input as NovelAI, as you can talk directly to the devs at r/KoboldAI with suggestions or problems. Sort by: Best. Which model gpu is the best for nsfw ai chat? This one is pretty great with the preset “Kobold (Godlike)” and just works really well without any other adjustments. Is there a way for the Lite version to utilise the GPU instead of only the CPU? Official Reddit community of Termux project. At the bare minimum you will need an Nvidia GPU with 8GB of VRAM. I know gfx1100 is working (my 7900XTX runs great), but is there a way to know whether others (ie gfx1102, gfx1030) are currently supported on Windows? Subreddit for the in-development AI storyteller NovelAI. https://lite. I want to make an AI assistant (With TTS and STT). Not sure if my GPU didn't have enough memory, but an RTX 3090 sounds like it should be enough for GPT-J. New comments cannot be posted. 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. Taking the plunge on 2x Tesla P40's for Kobold AI, etc /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will Get the Reddit app Scan this QR code to download the app now. But the 2. cuda. In my case I am able to get 10 tokens per second on a 3090 on a 30B model without the long processing times, because I can fit the entire model in my GPU. 4 GB to 4. The only other option I have heard of for AMD GPU's is to get torch set up with AMD ROCM, however I have no experience with it, and I Get the Reddit app Scan this QR code to download the app now. Context size has to be 1024 though. If you check your system specifications it will generally list the GPU you have in your system (along with CPU, motherboard, RAM and so on, but we just care about the GPU here), unless you have something highly custom and fairly exotic. All I have are AMD Gpu around and I would prefer running this in docker to keep it isolated from the rest of the system. I'm thinking about converting the models to CoreML, and writing a simple Mac/iOS client for that, We have ways planned we are working towards to fit full context 6B on a GPU colab. Quality is, well, it's 6B alright. 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 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? /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the site. Look in the model page the gptq used for quantization. Docker has access to the GPUs as I'm running a StableDiffusion container that utilizes the GPU with no issues. 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. Disk cache can help sure, but its going to be an incredibly slow experience by comparison. 34 GiB already allocated; 13. This "easier" version doesn't work for me so I don't know really. but it won't show image Get the Reddit app Scan this QR code to download the app now. Some implementations (I use the oobabooga UI) are able to use the GPU primarily but also offload some of the memory and computation 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. He's talking about Kobold. (if your gpu can't handle the amount you assign, your gpu-driver might crash). 3-5 GB or so but after about 10 messages this increase starts to ramp up to about 1-2 GB sometimes, not all the time but just sometimes, but i watched it go from 2. I'm mainly interested in Kobold AI, and maybe some Stable Diffusion on the side. I did not notice any improvement using TPU instead of GPU, it even feels slower prob due lack of streaming. It doesn't use the GPU or its memory. This bat needs a line saying"set COMMANDLINE_ARGS= --api" Set Stable diffusion to use whatever model I want. No change, still wants to process on the CPU. But if the shared memory shows some memory is used, then your model is being split between VRAM and RAM and it can slow it down a lot. Or check it out in the app stores Kobold isn't using my GPU at all Share Add a Comment. it shows gpu memory used. Get an ad-free experience with special benefits, and directly support Reddit. Okay, so I made a post about a similar issue, but I didn't know that there was a way to run KoboldAI Locally and use that for VenusAI. Please share your tips, tricks, and workflows for using this software to create your AI art. It's a measure of how much the numbers have been truncated to make it smaller. 00 GiB total capacity; 4. I am not sure if this is potent enough to run koboldAI, as system req are nebulous. Usually only a 3-4 seconds for 250 tokens. Internet Culture (Viral) Amazing; Animals & Pets I was wondering if there's any way to make the integrated gpu on the 7950x3d useful in any capacity in koboldcpp with my current setup? I mean everything works fine and fast A place to discuss the SillyTavern fork of TavernAI. I have three questions and wondering if I'm doing anything wrong. I do not think it can deal with anything over 8. 17 to avoid confusion. com link The link will take me to Kobold interface but only the lite version. Sort by: 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 My overall thoughts on kobold are - the writing quality was impressive and made sense in about 90% of messages, 10% required edits. Very little data goes in or out of the gpu after a model is loaded (just your text and the AI output token rankings, which is measured in megabytes). Tried to allocate 14. e. Or you can choose less layers on the GPU to free up that extra space for the story. :3 I use 3060ti and 16gb of RAM. If I were in your shoes, I'd consider the price difference of selling a Now we need to set Pygmalion AI up in Kobold AI. I've redone the entire installation process with different versions of Python I've been trying to run 13b models in kobold. 00 MiB (GPU 0; 10. isavailable(). KoboldAI is not an AI on its own, its a project where you can bring an AI model yourself. Or check it out in the app stores The second one is https://lite. I had a failed install of Kobold on my computer Kobold requires at least 16 of it if you want it to work stable. 7B models will work better speed wise since those will fit completely. 3GB. However, the post that finally worked took a little over two minutes to generate. Valheim; Genshin Impact Then we got the models to run on your CPU. ai, and even that didnt manage to work - the Vulkan version. I think I had to up my token length and reduce the WI depth to get it Edit btw I want to save your post but reddit is being a dick and your picture is super white I can't hit the darn thing So after some tinkering around I was actually able to get Kobold AI working on Silly Tavern. This is not supported for all configurations of models and can yield errors. I used to have a version of kobold that let me split the layers between my GPU and CPU so i could use models that used more VRAM than my GPU could handle, and now its completely gone. 7B models are the maximum you can do, and that barely (my 3060 loads the VRAM to 7. The link won't work in anything else. - Softprompt support with our own softprompt format (A Converter for MKULTRA has been made so our community can assist you with conversions if need be, you will also be able to do this yourself). You can find them on Hugging Face by searching for GGML. I am using 13B models in Colab via TPU, and I am interested. 0. More posts you may like     TOPICS. bat, and it's First I think that I should tell you my specs. kobold works better ahaha /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation I'll update this post to see how long I can use this wonderful AI. I bought a HD to install Linux as a secondary OS just for that, but currently I've been using Faraday. nvidia-smi -i 1 -c EXCLUSIVE_PROCESS nvidia-smi -i 2 -c EXCLUSIVE_PROCESS. 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. If you want performance your only option is an extremely expensive AI For anyone struggling to use kobold Make sure to use the GPU collab version, and make sure the version is United. 00 MB Load Model OK: True Embedded Kobold Lite loaded. 17 is the successor to 0. 7/31. Thanks to the phenomenal work done by leejet in stable-diffusion. Reply reply Top 7% Rank by size . bin file is in size, you can set all layers to GPU (first slider) and leave the second slider at 0. If you want to run the full model with ROCM, you would need a different client and running on Linux, it seems. Or check it out in the app stores using the GPU but not the Neural Engine. Lowering the "bits" to 5 just means it calculates using shorter numbers, losing precision but reducing RAM requirements. /r/StableDiffusion is I'm gonna mark this as NSFW just in case, but I came back to Kobold after a while and noticed the Erebus model is simply gone, along with the other one (I'm pretty sure there was a 2nd, but again, haven't used Kobold in a long time). So given your large budget get a 3090 (I'd personally wait until you can get them closer to msrp because right now you'd spend your entire budget while you should be spending half that in a normal market). KoboldAI not using my GPU . I start Stable diffusion with webui-user. The issue this time is that I don't know how to navigate KoboldAI to do that. Tried to allocate 100. Open comment sort options. Nowadays, both AIDungeon and Novel AI have much better models with way more parameters and better curated dataset than KoboldAI's Erebus 6. However, the command prompt still tells me when I load a model successfully that "Your GPU has not been detected and you can only make use of 32-bit inference, meaning the ram requirements are 8 times higher than This is a community to share and discuss 3D photogrammetry modeling. 4GB), as the GPU uses 16-bit math. bat to start Kobold AI. While the P40 is for AI only. KoboldAI uses this command, but when I tried this command out on my normal python shell, it returned true, however, the aiserver doesn't. The Pascal series (P100, P40, P10 ect) is the GTX 10XX series GPUs. runpod. 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. cpp, KoboldCpp now natively supports local Image Generation!. Smaller versions of the same model are dumber. My cpu is at 100% Share Add a Comment. I'm wondering what the differences will be. An unofficial place to discuss the unfiltered AI chatbot Pygmalion, as well as other open-source AI chatbots Subreddit has gone dark until June 14th to protest against Reddit's API changes Members Online. 1. You can then start to adjust the number of GPU layers you want to use. Then, make sure you’re running the 4 bit kobold interface, and have a 4bit model of pygb. articles on new photogrammetry software or techniques. So you will need to reserve a bit more space on the first GPU. 9 GB and so on and so forth, it seems every back and forth increases my memory usage by . /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper In today's AI-world, VRAM is the most important parameter. llama_model_load_internal: offloading non-repeating layers to GPU llama_model_load_internal: offloaded 33/33 layers to GPU llama_model_load_internal: total VRAM used: 3719 MB llama_new_context_with_model: kv self size = 4096. Even at $. get reddit premium. Hi everyone I have a small problem with using kobold locally. It's usable. Top. If you try to put the model entirely on the CPU keep in mind that in that case the ram counts double since the techniques we use to half the ram only work on the GPU. Models can run on CPU or GPU, with GPU roughly being about an order of magnitude faster (for modern CPU and GPU; if one is outdated, then the factor may be bigger or smaller). You can rent GPU time on something like runpod. It is also more I've been trying to run it locally with GPU. Or check it out in the app stores   I'm getting 80+T/s with 7b modells with a 7900xtx with ROCM Kobold Apologies for yet another "Kobold isn't using my GPU" postbut it's not. Whenever I run play. 4 and 5 bit are common. 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. I've managed about four inputs via SillyTavern before cpp crashes outright, and subsequent prompts (with only about 380 Tried to build kobold from source for AMD GPU using ROCm on Windows what can we do. (GPU: rx 7800 xt CPU: Ryzen 5 7600 6 core) Share Add a Comment the unofficial ComfyUI subreddit. Before even launching kobold/tavern you should be down to 0. Or check it out in the app stores     TOPICS. koboldai. Are the GPU layers maxed? For let's say OPT-2. Will anything bad happen if i play kobold AI with a 3GB graphics card, when it tells me to play with a 8GB one? Or will it just be slower? Locked post. dev, which seems to use RAM and the GPU on windows. Sadly my tiny laptop cannot run Kobold AI or I'd do it myself. I Get the Reddit app Scan this QR code to download the app now. Some of my inputs didn't go through because I had already used all of my 12gb of vram. If you want to follow the I bought a splitter cable that goes into a regular 8 pin GPU power supply cable but splits out to the two 8pin spots. Beware that you may not be able to put all kobold model layers on the GPU (let the rest go to CPU). 2/6GB for built in vram. 5-2 tokens per second seems slow for a recent-ish GPU and a small-ish model, and the "pretty beefy" is pretty ambiguous. I have 32GB RAM, Ryzen 5800x CPU, and 6700 XT GPU. How to take advantage of sudo apt-get install intel-opencl-icd intel-level-zero-gpu level-zero intel-media-va-driver-non-free libmfx1 libgl-dev intel-oneapi-compiler-dpcpp-cpp intel-oneapi-mkl python3-pip Subreddit for the in-development AI storyteller NovelAI. Links to different 3D models, images, articles, and videos related to 3D photogrammetry are highly encouraged, e. 3B! Get the Reddit app Scan this QR code to download the app now. Open comment sort options Are you trying to run locally with an NVIDIA graphics card, or CPU only (very slow) or using Horde? We're now read-only indefinitely due to Reddit Incorporated's poor management and decisions related to 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. I followed the readme to the letter, but was unable to get Kobold to recognize my RTX 3070. For system ram, you can use some sort of process viewer, like top or the windows system monitor. I am running PygmalionAI 6B version with the same graphics card, in 8-bit mode. ai which was able to run stable diffusion in GPU mode for 4-After the updates are finished, run the file play. For non-headless linux, cuda/desktop take about 1GB of VRAM. I hear references to Kobold United, but I can't seem to find too much info on it. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will Google changed something, can't quite pinpoint on why this is suddenly happening but once I have a fix ill update it for everyone at once including most unofficial KoboldAI notebooks. https://www. 5GB (I think it might not actually be that consistent in practice but close enough for estimating the layers to put onto GPU). We don't allow easy access to the smaller models on the TPU colab so people do not waste TPU's on them. Colab ‘GPU’ - Best story & conversation model? Thank you!! 💖 comments Check out a textbook based, logical, uncensored AI in just 0. I was wondering if Kobold AI supports memory pooling through NVLink or spreading the VRAM load over multiple older cards in software? /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the site. If you want to run KAI locally, you need to install KAI in the cloud. cpp works pretty well in windoes and seems to use the gpu to some degree. The offline routines are completely different code than the one for the colab instance, and while the colab instance loads the model directly into the GPU ram while supporting the half mode that makes it ram friendly, the local routines seem to load I'd personally hold off on buying a new card in your situation as Vulkan is in the finishing stages and should allow the performance on your GPU to increase a lot in the coming months without you having to jump trough ROCm hoops. is the "quantization" of the model. amd has finally come out and said they are going to add rocm support for windows and consumer cards. Get the Reddit app Scan this QR code to download the app now. Yes, you can run KAI in the cloud, for example on runpod. Second batch file: If you have a beefy PC with a good GPU, you can just download your AI model of choice, install a few programs, and get the whole package on your own PC so you can play offline. Please use our Discord server instead of supporting a company that 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). 32 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split Get the Reddit app Scan this QR code to download the app now. 58 GiB already allocated; 98. anyone know if theres a certain version that allows this or if im just being a huge idiot for not enabling some I knowthat best solution Will be running kobold on Linux WITH AMD GPU, but i must run on Mac. CPU goes from 2% to 70% and GPU 3D just hovers around 5-10% 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). 55 GiB reserved in total by PyTorch) I have an nvidia GPU that has sufficient VRAM to run the ai, however the nvidia GPU is assigned as GPU 1, and from what I understand the program is using the intergrated GPU which is GPU 0. But, bigger models consume lots more memory. Runpod has templates to install Kobold AI easily, that might be the fastest way. 6B already is going to give you a speed penalty for having to run part of it on your regular ram. The game is currently in open beta on PC . Edit 2: Using this method causes the GPU session to run in the background, and then the session closes after a few lines. Use the regular Koboldcpp version with CLBlast, that one will support your GPU. sh . 16/1. The only difference is the size of the models. Softprompts are similar to Modules that NovelAI has. Subreddit for the in-development AI storyteller Kobold is automatically leveraging both cards for compute, and I can watch their VRAM fill up as the model loads, but despite pushing all 33 layers onto the GPU(s) I've also seen the system memory get maxed out as well. Anything less than 12gb will limit you to 6-7b 4bit models, which are pretty disappointing. I’ve already tried setting my GPU layers to 9999 as well as to Get the Reddit app Scan this QR code to download the app now. There is a large open source model called BLOOM (176b) though. Gaming but its currently not in the UI. g. /play. Kobold AI utilises my GPU and can respond to something that takes Kobold AI Lite 2-3 minutes, in under 10 seconds. There still is no ROCm driver, but we now have Vulkan support for that GPU available in the product I linked which will perform well on that GPU. Now for whatever reason it refuses to give me anything more than a . 30/hr, you’d need to rent 5,000 hours of GPU time to equal the cost of a 4090. I am still running a 10 series GPU on my main workstation, they are still relevant in the gaming world and cheap. Then there's Kobold Horde. times or a TPU sometimes not being available then Colab is the second best way to go without compromising on the AI quality. Let's assume this response from the AI is about 107 tokens in a 411 character response. I tried their Nod. If I put that card in my PC and used both GPUs, would it improve performance on 6B models? /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind You can also run a cost benefit analysis on renting gpu time vs buying a loca GPU. Now every time I try to run it, it keeps telling me no GPU is available to use - And my GPU is working View community ranking In the Top 10% of largest communities on Reddit. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper PCI-e is backwards compatible both ways. As of a few hours ago, every time I try to load any model, it fails during the 'Load Tensors' phase. The reason not everything is executed on the GPU for stuff you don't offload is because that has proven to be faster. GPU 0 Nvidia GTX XXXX, *----- Disk cache: *----- Slide that Nvidia slider all the way to the right and press load, It will now use GPU VRAM. This makes it so I'm overloading my 2 GPUs attempting to run PygmalionAI 6B model; Could someone help me with a permanent fix? Windows takes at least 20% of your GPU (and at least 1GB). You can use it to write stories, blog posts, play a text adventure game, use it like a chatbot and 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. depending on your cpu and model size the speed isn't too bad. Or check it out in the app stores   I'm running Kobold with GPU support on an RTX2080. This is the part i still struggle with to find a good balance between speed and intelligence. I also made sure there wasn't steam, razer etc running in the background. Kobold will give You the option to split between GPU/CPU and RAM (Don't use disk cache). Click on the description for them, and it will take you to another tab. But as is usual sometimes the AI is incredible, sometime it misses the plot entirely. A place to discuss the SillyTavern fork of TavernAI. I understand it is basically the next version of Kobold, but not quite ready for full release—though it also sounds like it is pretty far along at this point. Using CUDA_VISIBLE_DEVICES: For one process, set CUDA_VISIBLE_DEVICES to your first gpu; First batch file: CUDA_VISIBLE_DEVICES=1 . ai and then use a local KAI or SillyTavern on your computer to connect to the cloud KAI via API. 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. A n 8x7b like mixtral won’t even fit at q4_km at 2k context on a 24gb gpu so you’d have to split that one, and depending on the model that might Hi, thanks for checking out Kobold! You can host the model on Google Colab, which will not require you to use your GPU at all. technical papers, machine learning, where to find resources and tools, how to develop AI/ML projects, AI in business Originally we had seperate models, but modern colab uses GPU models for the TPU. If you want to follow the progress, come join our Discord server! Members Online /r/StableDiffusion is back open after the protest of For PC questions/assistance. kobold. Looking for a Koboldcpp compatible LLM that will allow an image generator with 16 gb. I usually leave 1-2gb free to be on the As far as I know half of your system memory is marked as "shared GPU memory". And Vaporeon is the same as on c. 3B. I currently rent time on runpod with a 16vcore CPU, 58GB ram, and a 48GB A6000 for between $0. net. If it’s bigger than your amount of GPU VRAM, you can decrease the first slider, so more layers get loaded into RAM. It was running crazy slow, no out put after more than 15 min other than 2 words and it was running off of cpu only. 7B. Anybody have an idea how to quickly fix this problem ? 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. But I have more recently been using Kobold AI with Tavern AI. If you want to go with an AMD GPU (not recommended by anyone I've talked to) you can use vulkan support which I believe is improving very quickly but still quite far behind Nvidia CUDA support. Even if you don't have a good GPU, you can run Get the Reddit app Scan this QR code to download the app now. ai ran out, ran it in tavern. When I'm generating, my CPU usage is around 60% and my GPU is only like 5%. Hey Everyone! The next version of KoboldAI is ready for a wider audience, so we are proud to release an even bigger community made update than the last one. If it's 0, then your GPU is running the model in VRAM and it should work fine. in general with gguf 13b the first 40 layers are the tensor layers, these are the model size split evenly, the 41st layer is the blas buffer, and the last 2 layers are the kv cache (which is about 3gb on its own at 4k context) A place to discuss the SillyTavern fork of TavernAI. Probably because I don't own a compatible AMD GPU to compile it for. bat, it says no gpu was found. Running on GPU is much faster, but you're limited by the amount of VRAM on the graphics card. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the I want to use a 30b on my RTX 6750 XT + 48GB RAM. Run out of VRAM? try 16/0/16, if it works then 24/0/8, and so on. AI, and Koboldand perhaps it is my settings but I wasn't able to see a big leap in terms of story generation. **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. 5-3B/parameter so if I had to guess, if there’s an 8-9 billion parameter model it could very likely run that without problem and it MIGHT be able to trudge through the 13 billion parameter model if you use less intensive settings (1. If you have more VRAM than the PyTorch_model. So you can get a bunch of normal memory and load most of it into the shared gpu memory. I have a 8GB 3060Ti, you should be able to input at least 36 I have a 6 core CPU with 12 threads, I set the threads to the number of cores. Most 6b models are even ~12+ gb. Lower quant sizes would be even quicker. Discussion for the KoboldAI story Hello everyone, I am thinking of buying a new video card for the AI which I primary use for chatting and storytelling. For watherver reason Kobold can't connect to my GPU, here is something funny though It used to work fine. This subreddit has gone Restricted and reference-only as part of a mass protest against Reddit's recent API changes, which break third-party apps and moderation tools. Please keep posted images SFW. GPU-primary performance is worlds above CPU I notice watching the console output that the setup processes the prompt * EDIT: [CuBlas]* just fine, very fast and the GPU does it's job correctly. Google Collab. I did all the steps for getting the gpu support but kobold is using my cpu instead. In other places I see it’s better to offload mostly to gpu but keep some on cpu. I have a ryzen 5 5500 with an RX 7600 8gb Vram and 16gb of RAM. To run the 6B models on your own computer with an Nvidia GPU, you'd need at minimum 6 gigabytes of VRAM and 13 gigabytes of regular RAM. Try closing other programs until your GPU no longer uses the shared memory. As the others have said, don't use the disk cache because of how slow it is. The Q4/Q5 etc. I have a i7, 12 g ram, Nvidia gtx1050 I've been installing kobold ai to use the novel 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. 42 MiB free; 7. Instead of having to pick in the console app you can now load the model at any time, even if you are not near your device (With remote mode). Actions take about 3 seconds to get text back from Neo-1. A 13b q4 should fit entirely on gpu with up to 12k context (can set layers to any arbitrary high number) you don’t want to split a model between gpu and cpu if it comfortably fits on gpu alone. I think something is wrong with play. You can split the model across the gpu and cpu/ram but that'll make it slower. To full offload leave everything default but with 99 layers. As a beginner to chat ai's I really appreciate it you explaining everything in so much detail. This uses CL blast (works for every GPU), see other command line options here. downloaded the latest update of kobold and it doesn't show my CPU at all. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and Some say mixing the two will cause generation to be significantly slower if even one layer isn’t offloaded to gpu. You can try 8. Reply reply We're now read-only indefinitely due to Reddit Incorporated's Shared GPU Memory: 1. I bought an used graphics card. With minimum depth settings you need somewhat more than 2x your model size in VRAM (so 5. 16 we noticed that the version numbering on Reddit did not match the version numbers inside KoboldAI and in this release we will streamline this to just 1. If we list it as needing 16GB for example, this means you can probably fill two 8GB GPU's evenly. 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. If you have a specific Keyboard/Mouse/AnyPart that is doing something strange, include the model number i. net where you can run it on the GPU's of volunteers. Valheim; Genshin Impact Running GPT-NeoX 20B model on RTX 3090 with 21 layers on GPU and 0 layers on Disk Cache but wondering if I should be using Disk Cache for faster generations? (currently 1 token per 1 second) Without Linux you'd probably need to put a bit less on the GPU but it should definately work. It's primarily about GPU MEMORY CAPACITY, CUDA CORES, and cuda compute version. Valheim; Genshin Impact sure but I think if you let it spill into "shared GPU memory" then it's going to have to swap out out to get the gpu to process it, where if you offload layers to cpu then the cpu handles it It's not a waste really. The AI always takes around a minute for each response, reason being that it always uses 50%+ CPU rather than GPU. 49/hr with spot pricing) with the Pytorch 2. 7B-Horni, but it turns out that these are very powerful for what my pc is, I have an RTX GPU: GTX 1050 (up to 4gb VRAM) RAM: 8GB/16GB. Models seem to generally need (for recommendation) about 2. Start Kobold (United version), and load View community ranking In the Top 10% of largest communities on Reddit. I can fill my RTX 3060's VRAM with many layers with cuBLAS using CUDA and still only utilize 30% of its power. in CuBlas it use shared GPU shared memory from RAM about 3. I think mine is set to 16 GPU and 16 Disk. However, during the next step of token generation, while it isn't slow, the GPU use drops to zero. 00 GiB total capacity; 7. Has anyone tried quantizing the Kobold-trained GPT-NeoX-20B models using bnb-8bit so they can run entirely in VRAM on a 24GB These could include philosophical and social questions, art and design, technical papers, machine learning, where to find resources and tools, how to develop AI/ML projects, AI in business, how AI is affecting our lives, what the future may hold, and many other topics. There is dedicated and shared gpu memory, however I do not really understand the difference. But luckily for you the post you replied to is 9 months old and a lot happens in 9 months. Then also make sure not much is using the GPU in the background beforehand. To do that, click on the AI button in the Kobold ai Browser window and now select The Chat Models Option, in which you should find all PygmalionAI Models chose a model that fits in your RAM or VRAM if you have a Supported Nvidia GPU. Share your Termux configuration, custom utilities and usage experience or help others troubleshoot issues. 8 GB , but when using CLBlas, there is 'o shared But with the GPU layers being used it should go from minutes to seconds if your GPU is good enough, just like the other transformers based solutions. It's pretty cheap for good-enough-to-chat GPU horsepower. Best. The bigger models have more layers, more attention heads, and a larger 'vocab space', so tend to perform better. But even with enough RAM, you'll probably gonna have to wait for >minute for just one response, so without GPU playing Kobold is still pain. To run the model fully from GPU, it needs to fit in the VRAM. I tried Pygmalion-350m and Pygmalion-1. My pc specs are: Gpu: Amd RX 6700 XT CPU: intel i3-12100F Ram: 16gb 🫠 Vram: 12gb Make sure the one you choose will fit on your gpu, each model will tell you how vram (gpu ram) it needs. Internet Culture (Viral) Amazing Kobold ai isn't using my gpu . This is much slower though. Rent GPU. The timeframe I'm not sure. I currently use MythoMax-L2-13B-GPTQ, which maxes out the VRAM of my RTX 3080 10GB in my gaming PC without blinking an eye. Running on two 12GB cards will be half the speed of running on a single 24GB card of the same GPU generation. They are the best of the best AI models currently available. Ahahaha. Use this subreddit to ask questions, show off your Divi creations and meet other Divi enthusiasts. if you use windows check in task manager->performance->Nvidia GPU and check the gpu-memory if you have some headroom. Right now I have an RX KoboldAI is a powerful and easy way to use a variety of AI based text generation experiences. (newer motherboard with old GPU or newer GPU with older board) Your PCI-e speed on the motherboard won't affect koboldAI run speed. This is the place for most things Pokémon on Reddit—TV shows, video games, toys 18 votes, 14 comments. The model requires 16GB of Ram. A few days ago, Kobold was working just fine via Colab, and across a number of models. It's how the model is split up, not GB. KoboldAI is originally a program for AI story writing, text adventures and chatting but we decided to create an API for our software so other software developers had an easy solution for their UI's and websites. It's almost always at 'line 50' (if that's a thing). 5-3 range but doesn’t follow the colab 2023-05-15 21:20:38 INIT | Searching | GPU support 2023-05-15 21:20:38 INIT | Not Found | GPU support 2023-05-15 21:20:38 INIT | Starting | Transformers" The model is loading into the RAM instead of my GPU. Man, I didn't realize how used to having access to the TPU I was, I'm literally testing it a couple of times a day to see if it's working again. Q2: Dependency hell Is there any alternative to get the software required for Kobold AI? Share Add a Comment. 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 The context is put in the first available GPU, the model is split evenly across everything you select. Context size 2048. Note: Reddit is dying due to terrible leadership from CEO /u/spez. Either that, or just stick with llamacpp, run the model in system memory, and just use your GPU for a I have a RTX 3070Ti + GTX 1070Ti + 24Gb Ram. You'll have the best results with PCIE 4. /r/StableDiffusion is back open after the protest of Reddit killing open API access All LLMs should have some ability to "remember", but obviously, the smaller models have worse memory, and likely worse than character AI. It was horrible, super dry, short answers, over the top. - Multiple GPU support so you are no longer tied to one cards VRAM, and K80's can use both chips. 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. I can run with decent speed on mine. And probably the best option is to just run local. Possibly full context 13B and perhaps even 20B again. Reply reply /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and It's not really a calculation. 10 users here now. Or check it out in the app stores     TOPICS I have been trying to get into this AI thing, but I tried to allocate koboldAi with 2 different models, with Pygmalion and GPT-Neo-2. 18 and $0. Up until today I could run Colab/Kobold and it would product a bunch of links. Just set them equal in the loadout. If you want to follow the progress, come join our Discord server! /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers The problem you are having is the lack of the GPU combined with a 6B model, in the 0. (New reddit? Click 3 dots at end of this message) Privated to protest Reddit's upcoming API changes. This subreddit is The best bet for a (relatively) cheap card for both AI and gaming is a 12GB 3060. I have --useclblast 0 0 for my 3080, but your arguments might be different depending on your hardware configuration. 16 version that is not supported. My budget allows me to buy a 16Gb GPU (RTX 4060Ti or a Quadro P5000, which is a cheaper option for the 4060Ti) or upgrade my PC to a maximum of 128Gb RAM. It provides an Automatic1111 compatible txt2img endpoint which you can use within the embedded Kobold You can use kobold lite and let other kind folks in the horde do the generation for you. when you load the model, load in 22 layers in GPU, and set your context token size in tavern to 1500, and your response So if you want GPU accelerated prompt ingestion, you need to add --useclblast command with arguments for id and device. There is a speed penalty to the stuff thats not running on the vram though, using regular ram and your CPU happens for the layers you don't assign to the GPU. As i am an AMD user I need to focus on RAM, you can check both For hypothetical's sake, let's just say 13B Erebus or something for the model. There are two options: KoboldAI Client: This is the "flagship" client for Kobold AI. Starting Kobold HTTP Server on port 5001 The only things I had opened at the time were the kobold tab and app and janitor ai. Then I saw SHARK by Nod. Offload 24 layers to GPU. 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. bat. Gaming. I'd suggest you first try using the 4bit 128g version. I. Keep in mind you are sending data to other peoples KoboldAI when you use this so if privacy is a big concern Get the Reddit app Scan this QR code to download the app now. 6-Chose a model. (VAM + AI in VR being my ultimate goal). I followed instructions from README and used install_requirements. So in my example there's three GPUs in the system, and #1 and #2 are used for the two AI servers. If you set them equal then it should use all the vram from the GPU and 8GB of ram from the PC. If you want to follow the progress, come join our Discord server! /r/StableDiffusion is back open Make sure you start Stable diffusion with --api. Tried to allocate 50. It does require about 19GB of VRAM for the full 2048 context size, so it may be tough to get this running without access to a 3090 or better. The model is also small enough to run completely on my VRAM, so I want to know how to do this. With 10 layers on the GPU my response times are around 1 minute with a 1700X overclocked to 3,9GHz. For kobold ai the token size the number has to be less then 500 which is usually why the responses are shorter comspre to openai /r/GuildWars2 is the primary community for Guild Wars 2 on Reddit. One small issue I have with is trying to figure out how to run "TehVenom/Pygmalion-7b-Merged-Safetensors". Resources usage in KoboldAi ! Hello, i'am usuing KoboldAi for ggml models inference, and i'am confused about some statistics of resources usage in KoboldAi. I am new to the concept of AI storytelling software, sorry for the (possible repeated) question but is that GPU good enough to run koboldAI? I was unaware that support for AI frameworks on AMD cards is basically non-existent if you're running something like KoboldAI on a Windows PC, though. I just started using Kobold AI now that Lite is a thing since I never could get it to work on the old Colab for me and KoboldCpp allow offloading layers of the model to GPU, either via the GUI launcher or the --gpulayers flags. 6b works perfectly fine but when I load in 7b into KoboldAI the responses are very slow for some reason and sometimes they just stop working. So if you're loading a 6B model which Kobold estimates at ~16GB VRAM used, each of those 32 layers should be around 0. This subreddit has gone Restricted and reference-only as part of a mass protest against Reddit's recent API changes, which break third-party apps and Get the Reddit app Scan this QR code to download the app now. The "Max Tokens" setting I can run is currently 1300-ish, before Kobold/Tavern runs out of memory, which I believe is using my ram(16GBs), so lets just assume that. the large language model created by Meta AI. When asking a question or stating a problem, please add as much detail as possible. Even lowering the number of GPU layers (which then splits it between GPU VRAM and system RAM) slows it down tremendously. I'm pretty new to this and still don't know how to use a AMD GPU. If you use GGML models (ie Horde will allow you to contribute your own GPU (or any other Kobold instance) to the community so others can use it to power KoboldAI. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app A place to discuss the SillyTavern fork of TavernAI. Reply reply     TOPICS /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the I don't agree, his GPU is being utilized according to the screenshots. Subreddit for the in-development AI storyteller NovelAI. 5-Now we need to set Pygmalion AI up in KoboldAI. I'm going to be installing this GPU in my server PC, meaning video output isn't a I was able to use the other method using Colab with Kobald AI. safetensors file should be about 4. I'm looking into getting a GPU for AI purposes. Share Sort by: Reddit community and fansite for the free-to-play third-person co-op action shooter, Warframe. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app Welcome to the unofficial Divi subreddit, the number one place on reddit to discuss Elegant Themes' flagship WordPress template. Look at the shared GPU memory. Or check it out in the app stores     TOPICS GPU access is given on a first-come first-serve basis, so you might get a popup saying no GPUs are available. bat . 0 x16 GPU, because prompt ingestion bottlenecks to PCIE bus bandwidth. , it's using GPU for analysis, but not for generating output. The -hf versions can only run on the GPU version, and the GPU version will not work unless you have a suitably new Nvidia GPU. Don't fill the gpu completely because inference will run out of memory. 56 MiB free; 4. Authors Note is like the overall structure it'll try to work to, like theme If the GPU is like the AI's brain, its very possible my gtx 1080 just can not handle the job of making sense of anything. It would not be using 28% of its power if no GPU acceleration was present. If you load the model up in Koboldcpp from the command line, you can see how many layers the model has, and how much memory is needed for each layer. With a 4090, you are well positioned to just do all this locally. Start by trying out 32/0/0 gpu/disk/cpu. r/NovelAi. I think it's supposed to work by introducing a symbol that's usually absent in stories to discourage the AI from predicting and generating the information you feed it, in the exact same order. ) Hello. ai with Austism So if all you've got is your home PC with a consumer GPU of 24gb or less of VRAM, I'd recommend looking into finetuning rather than training a LLM from the beginning. io. Or if it had Petals; an AI torrent network embedded into Kobold 🤔 Reply reply More replies. Then just upload these notebooks, play In GPU mode 16GB of system ram could squeeze it in your GPU but 32GB gives you space for the rest of your system. My GPU is the RTX4070, I made sure to have CUDA installed on python and ran the install_requirements. GPU layers I've set as 14. The . Similarly the CPU implementation is limited by the amount of system RAM you have. Fit as much on the GPU as you can. 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. So doable? Absolutely if you have enough VRAM. zle rvek tvpz iyr ynhr ivuccl jvzv lfkjy wudgni hxaic