19k • 2 KoboldAI/fairseq-dense-2. r/KoboldAI. I think the gpu version in gptq-for-llama is just not optimised. bin] [port]. When the backend crashes half way during generation. Until either one happened Windows users can only use OpenCL, so just AMD releasing ROCm for GPU's is not enough. ; Launching with no command line arguments displays a GUI containing a subset of configurable settings. If you feel concerned, you may prefer to rebuild it yourself with the provided makefiles and scripts. exe or drag and drop your quantized ggml_model. @echo off cls Configure Kobold CPP Launch. Running 13B and 30B models on a PC with a 12gb NVIDIA RTX 3060. , and software that isn’t designed to restrict you in any way. HadesThrowaway. Why didn't we mention it? Because you are asking about VenusAI and/or JanitorAI which. In the KoboldCPP GUI, select either Use CuBLAS (for NVIDIA GPUs) or Use OpenBLAS (for other GPUs), select how many layers you wish to use on your GPU and click Launch. Thanks to u/ruryruy's invaluable help, I was able to recompile llama-cpp-python manually using Visual Studio, and then simply replace the DLL in my Conda env. KoboldCpp, a powerful inference engine based on llama. That one seems to easily derail into other scenarios its more familiar with. Welcome to KoboldCpp - Version 1. I reviewed the Discussions, and have a new bug or useful enhancement to share. However, koboldcpp kept, at least for now, retrocompatibility, so everything should work. (run cmd, navigate to the directory, then run koboldCpp. To use the increased context with KoboldCpp and (when supported) llama. ago. I'm running kobold. 1. 0 | 28 | NVIDIA GeForce RTX 3070. • 6 mo. exe --useclblast 0 1 Welcome to KoboldCpp - Version 1. cpp like ggml-metal. On Linux I use the following command line to launch the KoboldCpp UI with OpenCL aceleration and a context size of 4096: python . Instructions for roleplaying via koboldcpp: LM Tuning Guide: Training, Finetuning, and LoRa/QLoRa information: LM Settings Guide: Explanation of various settings and samplers with suggestions for specific models: LM GPU Guide: Recieves updates when new GPUs release. Generally you don't have to change much besides the Presets and GPU Layers. I primarily use 30b models since that’s what my Mac m2 pro with 32gb RAM can handle, but I’m considering trying some. cpp, and adds a versatile Kobold API endpoint, additional format support, backward compatibility, as well as a fancy UI with persistent stories, editing tools, save formats, memory, world info. Where it says: "llama_model_load_internal: n_layer = 32" Further down, you can see how many layers were loaded onto the CPU under:Editing settings files and boosting the token count or "max_length" as settings puts it past the slider 2048 limit - it seems to be coherent and stable remembering arbitrary details longer however 5K excess results in console reporting everything from random errors to honest out of memory errors about 20+ minutes of active use. Preferably, a smaller one which your PC. My machine has 8 cores and 16 threads so I'll be setting my CPU to use 10 threads instead of it's default half of available threads. the api key is only if you sign up for the KoboldAI Horde site to use other people's hosted models or to host your own for people to use your pc. exe --help inside that (Once your in the correct folder of course). i got the github link but even there i don't understand what i. I have rtx 3090 and offload all layers of 13b model into VRAM withSo if in a hurry to get something working, you can use this with KoboldCPP, could be your starter model. Occasionally, usually after several generations and most commonly a few times after 'aborting' or stopping a generation, KoboldCPP will generate but not stream. It's really easy to get started. exe --blasbatchsize 2048 --contextsize 4096 --highpriority --nommap --ropeconfig 1. ggmlv3. • 6 mo. problems occur. But, it may be model dependent. I'm just not sure if I should mess with it or not. Selecting a more restrictive option in windows firewall won't limit kobold's functionality when you are running it and using the interface from the same computer. cpp in my own repo by triggering make main and running the executable with the exact same parameters you use for the llama. cpp repo. KoboldCPP:Problem When I using the wizardlm-30b-uncensored. Running KoboldCPP and other offline AI services uses up a LOT of computer resources. Next, select the ggml format model that best suits your needs from the LLaMA, Alpaca, and Vicuna options. this restricts malicious weights from executing arbitrary code by restricting the unpickler to only loading tensors, primitive types, and dictionaries. If Pyg6b works, I’d also recommend looking at Wizards Uncensored 13b, the-bloke has ggml versions on Huggingface. 5. KoboldCpp now uses GPUs and is fast and I have had zero trouble with it. use weights_only in conversion script (LostRuins#32). Support is expected to come over the next few days. If you want to run this model and you have the base llama 65b model nearby, you can download Lora file and load both the base model and LoRA file with text-generation-webui (mostly for gpu acceleration) or llama. Unfortunately not likely at this immediate, as this is a CUDA specific implementation which will not work on other GPUs, and requires huge (300 mb+) libraries to be bundled for it to work, which goes against the lightweight and portable approach of koboldcpp. dll to the main koboldcpp-rocm folder. 1 9,970 8. KoboldCpp is an easy-to-use AI text-generation software for GGML and GGUF models. Please. So by the rule (of logical processors / 2 - 1) I was not using 5 physical cores. Stars - the number of stars that a project has on GitHub. Make sure Airoboros-7B-SuperHOT is ran with the following parameters: --wbits 4 --groupsize 128 --model_type llama --trust-remote-code --api. The NSFW ones don't really have adventure training so your best bet is probably Nerys 13B. To run, execute koboldcpp. #96. SillyTavern originated as a modification of TavernAI 1. g. Step 2. . exe and select model OR run "KoboldCPP. So many variables, but the biggest ones (besides the model) are the presets (themselves a collection of various settings). I have the tokens set at 200, and it uses up the full length every time, by writing lines for me as well. First, download the koboldcpp. Soobas • 2 mo. Based in California, KoBold Metals is focused on employing AI to find metals such as cobalt, nickel, copper, and lithium, which are used in manufacturing electric. 33 or later. py after compiling the libraries. I found out that it is possible if I connect the non-lite Kobold AI to the API of llamaccp for Kobold. Pyg 6b was great, I ran it through koboldcpp and then SillyTavern so I could make my characters how I wanted (there’s also a good Pyg 6b preset in silly taverns settings). 15. KoboldAI has different "modes" like Chat Mode, Story Mode, and Adventure Mode which I can configure in the settings of the Kobold Lite UI. For 65b the first message upon loading the server will take about 4-5 minutes due to processing the ~2000 token context on the GPU. A place to discuss the SillyTavern fork of TavernAI. llama. N/A | 0 | (Disk cache) N/A | 0 | (CPU) Then it returns this error: RuntimeError: One of your GPUs ran out of memory when KoboldAI tried to load your model. SillyTavern is just an interface, and must be connected to an "AI brain" (LLM, model) through an API to come alive. 5m in a Series B funding round. python3 koboldcpp. gg. If you don't want to use Kobold Lite (the easiest option), you can connect SillyTavern (the most flexible and powerful option) to KoboldCpp's (or another) API. cpp, and adds a versatile Kobold API endpoint, additional format support, backward compatibility, as well as a fancy UI with persistent stories, editing tools, save formats, memory. I know this isn't really new, but I don't see it being discussed much either. . If you feel concerned, you may prefer to rebuild it yourself with the provided makefiles and scripts. #499 opened Oct 28, 2023 by WingFoxie. koboldcpp. zip to a location you wish to install KoboldAI, you will need roughly 20GB of free space for the installation (this does not include the models). h, ggml-metal. This new implementation of context shifting is inspired by the upstream one, but because their solution isn't meant for the more advanced use cases people often do in Koboldcpp (Memory, character cards, etc) we had to deviate. pkg upgrade. Hit the Browse button and find the model file you downloaded. 1. evstarshov. I search the internet and ask questions, but my mind only gets more and more complicated. You'll have the best results with. KoBold Metals discovers the battery minerals containing Ni, Cu, Co, and Li critical for the electric vehicle revolution. Recommendations are based heavily on WolframRavenwolf's LLM tests: ; WolframRavenwolf's 7B-70B General Test (2023-10-24) ; WolframRavenwolf's 7B-20B. Step 4. Saved searches Use saved searches to filter your results more quicklyKoboldcpp is an amazing solution that lets people run GGML models and it allows you to run those great models we have been enjoying for our own chatbots without having to rely on expensive hardware as long as you have a bit of patience waiting for the reply's. 33 or later. 4 tasks done. 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. You'll need perl in your environment variables and then compile llama. henk717 • 2 mo. 8 T/s with a context size of 3072. The first four parameters are necessary to load the model and take advantages of the extended context, while the last one is needed to. so file or there is a problem with the gguf model. Update: Looks like K_S quantization also works with latest version of llamacpp, but I haven't tested that. share. (kobold also seems to generate only a specific amount of tokens. When you create a subtitle file for an English or Japanese video using Whisper, the following. 0. Stars - the number of stars that a project has on GitHub. nmieao opened this issue on Jul 6 · 4 comments. 4. You can only use this in combination with --useclblast, combine with --gpulayers to pick. 5 speed and 16k context. KoboldCpp, a powerful inference engine based on llama. dll Loading model: C:UsersMatthewDesktopsmartsggml-model-stablelm-tuned-alpha-7b-q4_0. To use, download and run the koboldcpp. 3 temp and still get meaningful output. --launch, --stream, --smartcontext, and --host (internal network IP) are. Answered by LostRuins. The current version of KoboldCPP now supports 8k context, but it isn't intuitive on how to set it up. First, we need to download KoboldCPP. 34. bin model from Hugging Face with koboldcpp, I found out unexpectedly that adding useclblast and gpulayers results in much slower token output speed. If you don't do this, it won't work: apt-get update. On my laptop with just 8 GB VRAM, I still got 40 % faster inference speeds by offloading some model layers on the GPU, which makes chatting with the AI so much more enjoyable. Windows binaries are provided in the form of koboldcpp. Koboldcpp is an amazing solution that lets people run GGML models and it allows you to run those great models we have been enjoying for our own chatbots without having to rely on expensive hardware as long as you have a bit of patience waiting for the reply's. **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. The target url is a thread with over 300 comments on a blog post about the future of web development. Actions take about 3 seconds to get text back from Neo-1. List of Pygmalion models. For news about models and local LLMs in general, this subreddit is the place to be :) I'm pretty new to all this AI text generation stuff, so please forgive me if this is a dumb question. Answered by NovNovikov on Mar 26. The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives. for Linux: Operating System, e. It's probably the easiest way to get going, but it'll be pretty slow. It's a kobold compatible REST api, with a subset of the endpoints. [340] Failed to execute script 'koboldcpp' due to unhandled exception! The text was updated successfully, but these errors were encountered: All reactionsMPT-7B-StoryWriter-65k+ is a model designed to read and write fictional stories with super long context lengths. SDK version, e. FamousM1. This will take a few minutes if you don't have the model file stored on an SSD. bin files, a good rule of thumb is to just go for q5_1. BEGIN "run. cpp with these flags: --threads 12 --blasbatchsize 1024 --stream --useclblast 0 0 Everything's working fine except that I don't seem to be able to get streaming to work, either on the UI or via API. Learn how to use the API and its features in this webpage. Partially summarizing it could be better. 2. The memory is always placed at the top, followed by the generated text. When you download Kobold ai it runs in the terminal and once its on the last step you'll see a screen with purple and green text, next to where it says: __main__:general_startup. exe in its own folder to keep organized. 5m in a Series B funding round, according to The Wall Street Journal (WSJ). With oobabooga the AI does not process the prompt every time you send a message, but with Kolbold it seems to do this. As for the World Info, any keyword appearing towards the end of. Download a model from the selection here. Those soft prompts are for regular KoboldAI models, what you're using is KoboldCPP which is an offshoot project to get ai generation on almost any devices from phones to ebook readers to old PC's to modern ones. koboldcpp. Can't use any NSFW story models on Google colab anymore. When you load up koboldcpp from the command line, it will tell you when the model loads in the variable "n_layers" Here is the Guanaco 7B model loaded, you can see it has 32 layers. The in-app help is pretty good about discussing that, and so is the Github page. It's a single self contained distributable from Concedo, that builds off llama. g. ycombinator. I observed the the whole time, Kobold didn't used my GPU at all, just my RAM and CPU. I run koboldcpp. 3 - Install the necessary dependencies by copying and pasting the following commands. To use the increased context with KoboldCpp, simply use --contextsize to set the desired context, eg --contextsize 4096 or --contextsize 8192. dllGeneral KoboldCpp question for my Vega VII on Windows 11: Is 5% gpu usage normal? My video memory is full and it puts out like 2-3 tokens per seconds when using wizardLM-13B-Uncensored. KoboldCpp is an easy-to-use AI text-generation software for GGML models. This is an example to launch koboldcpp in streaming mode, load a 8k SuperHOT variant of a 4 bit quantized ggml model and split it between the GPU and CPU. o ggml_v1_noavx2. Each program has instructions on their github page, better read them attentively. 4 tasks done. You can find them on Hugging Face by searching for GGML. It's a single self contained distributable from Concedo, that builds off llama. KoboldAI (Occam's) + TavernUI/SillyTavernUI is pretty good IMO. SillyTavern can access this API out of the box with no additional settings required. ago. My cpu is at 100%. 5. Hacker News is a popular site for tech enthusiasts and entrepreneurs, where they can share and discuss news, projects, and opinions. KoboldCpp works and oobabooga doesn't, so I choose to not look back. pkg install clang wget git cmake. The first four parameters are necessary to load the model and take advantages of the extended context, while the last one is needed to. This is a breaking change that's going to give you three benefits: 1. 🌐 Set up the bot, copy the URL, and you're good to go! 🤩 Plus, stay tuned for future plans like a FrontEnd GUI and. Links:KoboldCPP Download: LLM Download:. It requires GGML files which is just a different file type for AI models. Load koboldcpp with a Pygmalion model in ggml/ggjt format. Integrates with the AI Horde, allowing you to generate text via Horde workers. You need a local backend like KoboldAI, koboldcpp, llama. bat" SCRIPT. Welcome to KoboldCpp - Version 1. The first four parameters are necessary to load the model and take advantages of the extended context, while the last one is needed to. cpp (mostly cpu acceleration). 5 Attempting to use non-avx2 compatibility library with OpenBLAS. Behavior for long texts If the text gets to long that behavior changes. Why didn't we mention it? Because you are asking about VenusAI and/or JanitorAI which. 3 characters, rounded up to the nearest integer. md by @city-unit in #1165; Added custom CSS box to UI Theme settings by @digiwombat in #1166; Staging by @Cohee1207 in #1168; New Contributors @Hakirus made their first contribution in #1113Step 4. 16 tokens per second (30b), also requiring autotune. I think most people are downloading and running locally. Closed. ago. KoboldCPP is a roleplaying program that allows you to use GGML AI models, which are largely dependent on your CPU+RAM. 0 | 28 | NVIDIA GeForce RTX 3070. If Pyg6b works, I’d also recommend looking at Wizards Uncensored 13b, the-bloke has ggml versions on Huggingface. #500 opened Oct 28, 2023 by pboardman. You'll need a computer to set this part up but once it's set up I think it will still work on. Works pretty well for me but my machine is at its limits. That gives you the option to put the start and end sequence in there. Setting up Koboldcpp: Download Koboldcpp and put the . For. Newer models are recommended. You switched accounts on another tab or window. Unfortunately, I've run into two problems with it that are just annoying enough to make me consider trying another option. 5 and a bit of tedium, OAI using a burner email and a virtual phone number. For me the correct option is Platform #2: AMD Accelerated Parallel Processing, Device #0: gfx1030. Great to see some of the best 7B models now as 30B/33B! Thanks to the latest llama. You can download the latest version of it from the following link: After finishing the download, move. 33 anymore despite using --unbantokens. exe, which is a pyinstaller wrapper for a few . 5. Even on KoboldCpp's Usage section it was said "To run, execute koboldcpp. s. The new funding round was led by US-based investment management firm T Rowe Price. Pygmalion 2 7B Pygmalion 2 13B are chat/roleplay models based on Meta's . henk717. These are SuperHOT GGMLs with an increased context length. When Top P = 0. Covers everything from "how to extend context past 2048 with rope scaling", "what is smartcontext", "EOS tokens and how to unban them", "what's mirostat", "using the command line", sampler orders and types, stop sequence, KoboldAI API endpoints and more. Model card Files Files and versions Community koboldcpp repository already has related source codes from llama. They're populated by 1) the actions we take, 2) The AI's reactions, and 3) any predefined facts that we've put into world-info or memory. Why didn't we mention it? Because you are asking about VenusAI and/or JanitorAI which. Also the number of threads seems to increase massively the speed of. Try running koboldCpp from a powershell or cmd window instead of launching it directly. Thanks, got it to work, but the generations were taking like 1. Easily pick and choose the models or workers you wish to use. It will now load the model to your RAM/VRAM. There are some new models coming out which are being released in LoRa adapter form (such as this one). Just generate 2-4 times. Huggingface is the hub to get all those opensource AI models, so you can search in there, what's a popular model that can run on your system. KoboldCpp Special Edition with GPU acceleration released! Resources. KoboldCpp is an easy-to-use AI text-generation software for GGML and GGUF models. Note that this is just the "creamy" version, the full dataset is. But you can run something bigger with your specs. o common. Samdoses • 4 mo. Configure ssh to use the key. ggmlv3. c++ -I. exe --noblas Welcome to KoboldCpp - Version 1. KoboldCpp is an easy-to-use AI text-generation software for GGML and GGUF models. py and selecting the "Use No Blas" does not cause the app to use the GPU. Included tools: Mingw-w64 GCC: compilers, linker, assembler; GDB: debugger; GNU. Koboldcpp REST API #143. 5-3 minutes, so not really usable. 6 - 8k context for GGML models. 29 Attempting to use CLBlast library for faster prompt ingestion. bin [Threads: 3, SmartContext: False]questions about kobold+tavern. cpp running on its own. It's a single self contained distributable from Concedo, that builds off llama. KoboldCPP does not support 16-bit, 8-bit and 4-bit (GPTQ) models. BLAS batch size is at the default 512. exe --useclblast 0 0 --gpulayers 50 --contextsize 2048 Welcome to KoboldCpp - Version 1. Entirely up to you where to find a Virtual Phone Number provider that works with OAI. com | 31 Oct 2023. Make loading weights 10-100x faster. \koboldcpp. 36 For command line arguments, please refer to --help Attempting to use OpenBLAS library for faster prompt ingestion. exe, and then connect with Kobold or Kobold Lite. Initializing dynamic library: koboldcpp. exe. Context size is set with " --contextsize" as an argument with a value. Run. Those are the koboldcpp compatible models, which means they are converted to run on CPU (GPU offloading is optional via koboldcpp parameters). 0 quantization. But I'm using KoboldCPP to run KoboldAI, and using SillyTavern as the frontend. 69 it will override and scale based on 'Min P'. Support is also expected to come to llama. py --help. koboldcpp. cpp is necessary to make us. Streaming to sillytavern does work with koboldcpp. As for which API to choose, for beginners, the simple answer is: Poe. If you want to join the conversation or learn from different perspectives, click the link and read the comments. bin file onto the . cpp CPU LLM inference projects with a WebUI and API (formerly llamacpp-for-kobold) Some time back I created llamacpp-for-kobold , a lightweight program that combines KoboldAI (a full featured text writing client for autoregressive LLMs) with llama. So: Is there a tric. CPU: AMD Ryzen 7950x. . hipcc in rocm is a perl script that passes necessary arguments and points things to clang and clang++. The image is based on Ubuntu 20. If you get inaccurate results or wish to experiment, you can set an override tokenizer for SillyTavern to use while forming a request to the AI backend: None. While i had proper sfw runs on this model despite it being optimized against literotica i can't say i had good runs on the horni-ln version. This is how we will be locally hosting the LLaMA model. **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. Download a ggml model and put the . dll will be required. . Portable C and C++ Development Kit for x64 Windows. ggmlv3. KoboldCpp is an easy-to-use AI text-generation software for GGML and GGUF models. How to run in koboldcpp. So by the rule (of logical processors / 2 - 1) I was not using 5 physical cores. ghost commented on Jun 17. koboldcpp --gpulayers 31 --useclblast 0 0 --smartcontext --psutil_set_threads. Posts with mentions or reviews of koboldcpp . How the Widget Looks When Playing: Follow the visual cues in the images to start the widget and ensure that the notebook remains active. 19. 33 or later. ago. Susp-icious_-31User • 3 mo. Open koboldcpp. cpp, however it is still being worked on and there is currently no ETA for that. for. Hit Launch. exe, or run it and manually select the model in the popup dialog. cpp) 'and' your GPU you'll need to go through the process of actually merging the lora into the base llama model and then creating a new quantized bin file from it. You signed out in another tab or window. exe, or run it and manually select the model in the popup dialog. The only caveat is that, unless something's changed recently, koboldcpp won't be able to use your GPU if you're using a lora file. Explanation of the new k-quant methods The new methods available are: GGML_TYPE_Q2_K - "type-1" 2-bit quantization in super-blocks containing 16 blocks, each block having 16 weight. However it does not include any offline LLM's so we will have to download one separately. Koboldcpp on AMD GPUs/Windows, settings question Using the Easy Launcher, there's some setting names that aren't very intuitive. Adding certain tags in author's notes can help a lot, like adult, erotica etc. 30b is half that. please help! 1. CodeLlama 2 models are loaded with an automatic rope base frequency similar to Llama 2 when the rope is not specificed in the command line launch. 1. You can also run it using the command line koboldcpp. q5_0. artoonu. I'm using KoboldAI instead of the horde, so your results may vary. Your config file should have something similar to the following:You can add IdentitiesOnly yes to ensure ssh uses the specified IdentityFile and no other keyfiles during authentication. It will inheret some NSFW stuff from its base model and it has softer NSFW training still within it. I have a RX 6600 XT 8GB GPU, and a 4-core i3-9100F CPU w/16gb sysram Using a 13B model (chronos-hermes-13b. TrashPandaSavior • 4 mo. If you're not on windows, then run the script KoboldCpp. The WebUI will delete the texts that's already been generated and streamed. Is it even possible to run a GPT model or do I. When I want to update SillyTavern I go into the folder and just put the "git pull" command but with Koboldcpp I can't do the same. Edit: The 1. License: other. Activity is a relative number indicating how actively a project is being developed. K. Gptq-triton runs faster.