bin file onto the . 19k • 2 KoboldAI/fairseq-dense-2. Repositories. Changes: Integrated support for the new quantization formats for GPT-2, GPT-J and GPT-NeoX; Integrated Experimental OpenCL GPU Offloading via CLBlast (Credits to @0cc4m) . Learn how to use the API and its features in this webpage. Behavior is consistent whether I use --usecublas or --useclblast. 6 Attempting to use CLBlast library for faster prompt ingestion. I have 64 GB RAM, Ryzen7 5800X (8/16), and a 2070 Super 8GB for processing with CLBlast. KoboldCpp 1. exe, which is a one-file pyinstaller. Also has a lightweight dashboard for managing your own horde workers. To use the increased context with KoboldCpp, simply use --contextsize to set the desired context, eg --contextsize 4096 or --contextsize 8192. You'll need a computer to set this part up but once it's set up I think it will still work on. I can open submit new issue if necessary. When comparing koboldcpp and alpaca. ggmlv3. bin file onto the . cpp (mostly cpu acceleration). Welcome to KoboldAI Lite! There are 27 total volunteer (s) in the KoboldAI Horde, and 65 request (s) in queues. . Welcome to KoboldCpp - Version 1. Newer models are recommended. Make sure you're compiling the latest version, it was fixed only a after this model was released;. Can you make sure you've rebuilt for culbas from scratch by doing a make clean followed by a make LLAMA. It's a single self contained distributable from Concedo, that builds off llama. Hi, I'm trying to build kobold concedo with make LLAMA_OPENBLAS=1 LLAMA_CLBLAST=1, but it fails. Configure ssh to use the key. Properly trained models send that to signal the end of their response, but when it's ignored (which koboldcpp unfortunately does by default, probably for backwards-compatibility reasons), the model is forced to keep generating tokens and by going "out of. panchovix. for Linux: The API is down (causing issue 1) Streaming isn't supported because it can't get the version (causing issue 2) Isn't sending stop sequences to the API, because it can't get the version (causing issue 3) to join this. Important Settings. ago. SillyTavern is just an interface, and must be connected to an "AI brain" (LLM, model) through an API to come alive. 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. My tokens per second is decent, but once you factor in the insane amount of time it takes to process the prompt every time I send a message, it drops to being abysmal. When I offload model's layers to GPU it seems that koboldcpp just copies them to VRAM and doesn't free RAM as it is expected for new versions of the app. Easiest way is opening the link for the horni model on gdrive and importing it to your own. cpp, however work is still being done to find the optimal implementation. Why not summarize everything except the last 512 tokens, and. pkg upgrade. The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives. #499 opened Oct 28, 2023 by WingFoxie. Portable C and C++ Development Kit for x64 Windows. This is a placeholder model for a KoboldAI API emulator by Concedo, a company that provides open source and open science AI solutions. . 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. Save the memory/story file. . However, koboldcpp kept, at least for now, retrocompatibility, so everything should work. CPU: Intel i7-12700. 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. 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 is. It can be directly trained like a GPT (parallelizable). This community's purpose to bridge the gap between the developers and the end-users. While benchmarking KoboldCpp v1. py -h (Linux) to see all available argurments you can use. . In this case the model taken from here. exe, or run it and manually select the model in the popup dialog. How the Widget Looks When Playing: Follow the visual cues in the images to start the widget and ensure that the notebook remains active. 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. o common. exe --model model. 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. dllA stretch would be to use QEMU (via Termux) or Limbo PC Emulator to emulate an ARM or x86 Linux distribution, and run llama. . Create a new folder on your PC. ) Apparently it's good - very good!koboldcpp processing prompt without BLAS much faster ----- Attempting to use OpenBLAS library for faster prompt ingestion. r/KoboldAI. ago. Ensure both, source and exe, are installed into the koboldcpp directory, for full features (always good to have choice). py --stream --unbantokens --threads 8 --usecublas 100 pygmalion-13b-superhot-8k. Dracotronic May 18, 2023, 7:49pm #1. It requires GGML files which is just a different file type for AI models. A look at the current state of running large language models at home. KoboldAI is a "a browser-based front-end for AI-assisted writing with multiple local & remote AI models. I think the gpu version in gptq-for-llama is just not optimised. As for the context, I think you can just hit the Memory button right above the. Using repetition penalty 1. Kobold ai isn't using my gpu. Run with CuBLAS or CLBlast for GPU acceleration. To use, download and run the koboldcpp. exe, and then connect with Kobold or Kobold Lite. hipcc in rocm is a perl script that passes necessary arguments and points things to clang and clang++. py and selecting the "Use No Blas" does not cause the app to use the GPU. Other investors who joined the round included Canada. It's possible to set up GGML streaming by other means, but it's also a major pain in the ass: you either have to deal with quirky and unreliable Unga, navigate through their bugs and compile llamacpp-for-python with CLBlast or CUDA compatibility in it yourself if you actually want to have adequate GGML performance, or you have to use reliable. From KoboldCPP's readme: Supported GGML models: LLAMA (All versions including ggml, ggmf, ggjt, gpt4all). Recent commits have higher weight than older. Looking at the serv. /examples -I. Koboldcpp Tiefighter. Alternatively an Anon made a $1k 3xP40 setup:. henk717. horenbergerb opened this issue on Apr 20 · 7 comments. Update: Looks like K_S quantization also works with latest version of llamacpp, but I haven't tested that. 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). If you feel concerned, you may prefer to rebuild it yourself with the provided makefiles and scripts. m, and ggml-metal. When Top P = 0. Hence why erebus and shinen and such are now gone. Is it even possible to run a GPT model or do I. The regular KoboldAI is the main project which those soft prompts will work for. cpp, with good UI and GPU accelerated support for MPT models: KoboldCpp; The ctransformers Python library, which includes LangChain support: ctransformers; The LoLLMS Web UI which uses ctransformers: LoLLMS Web UI; rustformers' llm; The example mpt binary provided with ggmlThey will NOT be compatible with koboldcpp, text-generation-ui, and other UIs and libraries yet. K. To add to that: With koboldcpp I can run this 30B model with 32 GB system RAM and a 3080 10 GB VRAM at an average around 0. cpp repo. use weights_only in conversion script (LostRuins#32). Download the latest koboldcpp. exe, and then connect with Kobold or Kobold Lite. Get latest KoboldCPP. With KoboldCpp, you get accelerated CPU/GPU text generation and a fancy writing UI, along. 4 tasks done. 4 tasks done. 1. dll will be required. Try a different bot. koboldcpp1. models 56. 2 - Run Termux. KoboldCPP:When I using the wizardlm-30b-uncensored. Content-length header not sent on text generation API endpoints bug. I have the basics in, and I'm looking for tips on how to improve it further. 4 tasks done. Hit the Browse button and find the model file you downloaded. 7B. Recent memories are limited to the 2000. KoBold Metals discovers the battery minerals containing Ni, Cu, Co, and Li critical for the electric vehicle revolution. 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. Model card Files Files and versions Community Train Deploy Use in Transformers. github","path":". **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. But you can run something bigger with your specs. The image is based on Ubuntu 20. exe --help" in CMD prompt to get command line arguments for more control. Double click KoboldCPP. Make sure Airoboros-7B-SuperHOT is ran with the following parameters: --wbits 4 --groupsize 128 --model_type llama --trust-remote-code --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. Generate images with Stable Diffusion via the AI Horde, and display them inline in the story. It's a single self contained distributable from Concedo, that builds off llama. A. Details u0_a1282@localhost ~> cd koboldcpp/ u0_a1282@localhost ~/koboldcpp (concedo)> make LLAMA_OPENBLAS=1 LLAMA_CLBLAST=1 I llama. Current Behavior. bat as administrator. . 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. First of all, look at this crazy mofo: Koboldcpp 1. You can see them by calling: koboldcpp. #96. 6 C text-generation-webui VS koboldcpp A simple one-file way to run various GGML and GGUF models with KoboldAI's UI llama. 33 2,028 9. Hit Launch. {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":". Open the koboldcpp memory/story file. ago. The first bot response will work, but the next responses will be empty, unless I make sure the recommended values are set in SillyTavern. KoboldCpp, a powerful inference engine based on llama. 4. AMD/Intel Arc users should go for CLBlast instead, as OpenBLAS is. You can make a burner email with gmail. I made a page where you can search & download bots from JanitorAI (100k+ bots and more) 184 upvotes · 31 comments. q5_0. I repeat, this is not a drill. We have used some of these posts to build our list of alternatives and similar projects. share. exe, wait till it asks to import model and after selecting model it just crashes with these logs: I am running Windows 8. A community for sharing and promoting free/libre and open source software on the Android platform. With KoboldCpp, you gain access to a wealth of features and tools that enhance your experience in running local LLM (Language Model) applications. Decide your Model. Growth - month over month growth in stars. 3. Actions take about 3 seconds to get text back from Neo-1. Download a model from the selection here. AMD/Intel Arc users should go for CLBlast instead, as OpenBLAS is. 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). Recent commits have higher weight than older. Each program has instructions on their github page, better read them attentively. Mantella is a Skyrim mod which allows you to naturally speak to NPCs using Whisper (speech-to-text), LLMs (text generation), and xVASynth (text-to-speech). From persistent stories and efficient editing tools to flexible save formats and convenient memory management, KoboldCpp has it all. Then there is 'extra space' for another 512 tokens (2048 - 512 - 1024). I'm just not sure if I should mess with it or not. 23beta. Download koboldcpp and add to the newly created folder. exe "C:UsersorijpOneDriveDesktopchatgptsoobabooga_win. --launch, --stream, --smartcontext, and --host (internal network IP) are. 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). Behavior for long texts If the text gets to long that behavior changes. Check this article for installation instructions. 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. Paste the summary after the last sentence. In order to use the increased context length, you can presently use: KoboldCpp - release 1. Koboldcpp + Chromadb Discussion Hey. 0. Links:KoboldCPP Download: LLM Download:. KoboldCpp is an easy-to-use AI text-generation software for GGML and GGUF models. Disabling the rotating circle didn't seem to fix it, however running a commandline with koboldcpp. Especially for a 7B model, basically anyone should be able to run it. Koboldcpp REST API #143. exe. for Linux: Operating System, e. gg. Neither KoboldCPP or KoboldAI have an API key, you simply use the localhost url like you've already mentioned. 34. exe [ggml_model. Especially good for story telling. So please make them available during inference for text generation. 1 comment. Thus when using these cards you have to install a specific linux kernel and specific older ROCm version for them to even work at all. cpp like ggml-metal. If you're not on windows, then. cpp (a lightweight and fast solution to running 4bit. bin file onto the . exe, and then connect with Kobold or Kobold Lite. Finished prerequisites of target file koboldcpp_noavx2'. . github","contentType":"directory"},{"name":"cmake","path":"cmake. exe or drag and drop your quantized ggml_model. Windows binaries are provided in the form of koboldcpp. Maybe when koboldcpp add quant for the KV cache it will help a little, but local LLM's are completely out of reach for me rn, apart from occasionally tests for lols and curiosity. To comfortably run it locally, you'll need a graphics card with 16GB of VRAM or more. One thing I'd like to achieve is a bigger context size (bigger than the 2048 token) with kobold. timeout /t 2 >nul echo. I’d say Erebus is the overall best for NSFW. 9 projects | news. pkg upgrade. Included tools: Mingw-w64 GCC: compilers, linker, assembler; GDB: debugger; GNU. 6 Attempting to library without OpenBLAS. SillyTavern can access this API out of the box with no additional settings required. KoboldAI. This release brings an exciting new feature --smartcontext, this mode provides a way of prompt context manipulation that avoids frequent context recalculation. Hit Launch. KoboldCpp is an easy-to-use AI text-generation software for GGML and GGUF models. TrashPandaSavior • 4 mo. Soobas • 2 mo. For context, I'm using koboldcpp (Hardware isn't good enough to run traditional kobold) with the pygmalion-6b-v3-ggml-ggjt-q4_0 ggml model. 33 or later. exe --help. Ignoring #2, your option is: KoboldCPP with a 7b or 13b model depending on your hardware. My cpu is at 100%. Once TheBloke shows up and makes GGML and various quantized versions of the model, it should be easy for anyone to run their preferred filetype in either Ooba UI or through llamacpp or koboldcpp. Kobold CPP - How to instal and attach models. Since my machine is at the lower end, the wait-time doesn't feel that long if you see the answer developing. cpp, with good UI and GPU accelerated support for MPT models: KoboldCpp; The ctransformers Python library, which includes LangChain support: ctransformers; The LoLLMS Web UI which uses ctransformers: LoLLMS Web UI; rustformers' llm; The example mpt binary provided with. CPU: AMD Ryzen 7950x. Why didn't we mention it? Because you are asking about VenusAI and/or JanitorAI which. evstarshov. If you want to use a lora with koboldcpp (or llama. Double click KoboldCPP. KoboldAI (Occam's) + TavernUI/SillyTavernUI is pretty good IMO. No aggravation at all. KoboldCpp is an easy-to-use AI text-generation software for GGML and GGUF models. I have rtx 3090 and offload all layers of 13b model into VRAM with Or you could use KoboldCPP (mentioned further down in the ST guide). The text was updated successfully, but these errors were encountered:To run, execute koboldcpp. CPU Version: Download and install the latest version of KoboldCPP. See "Releases" for pre-built, ready-to-use kits. . Describe the bug When trying to connect to koboldcpp using the KoboldAI API, SillyTavern crashes/exits. 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. 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. Also the number of threads seems to increase massively the speed of BLAS when using. You need to use the right platform and device id from clinfo! The easy launcher which appears when running koboldcpp without arguments may not do this automatically like in my case. MKware00 commented on Apr 4. ago. 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. KoboldCpp is an easy-to-use AI text-generation software for GGML and GGUF models. Text Generation Transformers PyTorch English opt text-generation-inference. The first four parameters are necessary to load the model and take advantages of the extended context, while the last one is needed to. Maybe it's due to the environment of Ubuntu Server compared to Windows?TavernAI - Atmospheric adventure chat for AI language models (KoboldAI, NovelAI, Pygmalion, OpenAI chatgpt, gpt-4) ChatRWKV - ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source. echo. bin model from Hugging Face with koboldcpp, I found out unexpectedly that adding useclblast and gpulayers results in much slower token output speed. Head on over to huggingface. OpenLLaMA is an openly licensed reproduction of Meta's original LLaMA model. A place to discuss the SillyTavern fork of TavernAI. I expect the EOS token to be output and triggered consistently as it used to be with v1. Reload to refresh your session. 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. So long as you use no memory/fixed memory and don't use world info, you should be able to avoid almost all reprocessing between consecutive. Full-featured Docker image for Kobold-C++ (KoboldCPP) This is a Docker image for Kobold-C++ (KoboldCPP) that includes all the tools needed to build and run KoboldCPP, with almost all BLAS backends supported. 3. When you import a character card into KoboldAI Lite it automatically populates the right fields, so you can see in which style it has put things in to the memory and replicate it yourself if you like. But I'm using KoboldCPP to run KoboldAI, and using SillyTavern as the frontend. exe or drag and drop your quantized ggml_model. 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. g. KoboldCpp, a powerful inference engine based on llama. u sure about the other alternative providers (admittedly only ever used colab) International-Try467. Moreover, I think The Bloke has already started publishing new models with that format. exe --threads 4 --blasthreads 2 rwkv-169m-q4_1new. # KoboldCPP. Mythomax doesnt like the roleplay preset if you use it as is, the parenthesis in the response instruct seem to influence it to try to use them more. KoboldCpp, a fully featured web UI, with GPU accel across all platforms and GPU architectures. ago. json file or dataset on which I trained a language model like Xwin-Mlewd-13B. I have both Koboldcpp and SillyTavern installed from Termux. copy koboldcpp_cublas. 9 Python TavernAI VS RWKV-LM. Support is also expected to come to llama. Thanks for the gold!) You're welcome, and its great to see this project working, I'm a big fan of Prompt Engineering with characters, and there is definitely something truely special in running the Neo-Models on your own pc. 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. - Pytorch updates with Windows ROCm support for the main client. Why didn't we mention it? Because you are asking about VenusAI and/or JanitorAI which. exe, and then connect with Kobold or Kobold Lite. com | 31 Oct 2023. The target url is a thread with over 300 comments on a blog post about the future of web development. q8_0. Having a hard time deciding which bot to chat with? I made a page to match you with your waifu/husbando Tinder-style. q5_K_M. I did some testing (2 tests each just in case). Chang, published in 2001, in which he argued that the Chinese Communist Party (CCP) was the root cause of many of. The memory is always placed at the top, followed by the generated text. exe. So if you want GPU accelerated prompt ingestion, you need to add --useclblast command with arguments for id and device. Hold on to your llamas' ears (gently), here's a model list dump: Pick yer size and type! Merged fp16 HF models are also available for 7B, 13B and 65B (33B Tim did himself. 43 to 1. 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. please help! comments sorted by Best Top New Controversial Q&A Add a Comment. ggmlv3. Oh and one thing I noticed, the consistency and "always in french" understanding is vastly better on my linux computer than on my windows. I have --useclblast 0 0 for my 3080, but your arguments might be different depending on your hardware configuration. Unfortunately, I've run into two problems with it that are just annoying enough to make me. Mistral is actually quite good in this respect as the KV cache already uses less RAM due to the attention window. Step 4. This guide will assume users chose GGUF and a frontend that supports it (like KoboldCpp, Oobabooga's Text Generation Web UI, Faraday, or LM Studio). FamousM1. Koboldcpp can use your RX 580 for processing prompts (but not generating responses) because it can use CLBlast. KoboldCPP has a specific way of arranging the memory, Author's note, and World Settings to fit in the prompt. i got the github link but even there i don't understand what i. Note that the actions mode is currently limited with the offline options. The first four parameters are necessary to load the model and take advantages of the extended context, while the last one is needed to. BLAS batch size is at the default 512. Activity is a relative number indicating how actively a project is being developed. for Linux: linux mint. So OP might be able to try that. Especially good for story telling. g. I reviewed the Discussions, and have a new bug or useful enhancement to share. Installing KoboldAI Github release on Windows 10 or higher using the KoboldAI Runtime Installer. 33 or later. Running language models locally using your CPU, and connect to SillyTavern & RisuAI. LM Studio, an easy-to-use and powerful. g. I primarily use 30b models since that’s what my Mac m2 pro with 32gb RAM can handle, but I’m considering trying some. The other is for lorebooks linked directly to specific characters, and I think that's what you might have been working with. koboldcpp. KoboldCpp is an easy-to-use AI text-generation software for GGML and GGUF models. SuperHOT is a new system that employs RoPE to expand context beyond what was originally possible for a model. ggmlv3. 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, author's note, characters, scenarios and. It is not the actual KoboldAI API, but a model for testing and debugging. Open install_requirements. cpp. py like this right away) To make it into an exe, we use make_pyinst_rocm_hybrid_henk_yellow. I'm biased since I work on Ollama, and if you want to try it out: 1. exe [path to model] [port] Note: if the path to the model contains spaces, escape it (surround in double quotes). /koboldcpp. bin file onto the . Answered by LostRuins. for Linux: SDK version, e. Preferably those focused around hypnosis, transformation, and possession. bin Welcome to KoboldCpp - Version 1. The main downside is that on low temps AI gets fixated on some ideas and you get much less variation on "retry". Text Generation • Updated 4 days ago • 5. Weights are not included,. Get latest KoboldCPP. 8 C++ text-generation-webui VS gpt4allComes bundled together with KoboldCPP. Welcome to KoboldCpp - Version 1. 2. exe -h (Windows) or python3 koboldcpp. Alternatively, drag and drop a compatible ggml model on top of the . Copy the script below into a file named "run. {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":". BlueBubbles is a cross-platform and open-source ecosystem of apps aimed to bring iMessage to Windows, Linux, and Android. Koboldcpp on AMD GPUs/Windows, settings question Using the Easy Launcher, there's some setting names that aren't very intuitive. You can download the latest version of it from the following link: After finishing the download, move. For command line arguments, please refer to --help. It will now load the model to your RAM/VRAM. Initializing dynamic library: koboldcpp_clblast. 43 is just an updated experimental release cooked for my own use and shared with the adventurous or those who want more context-size under Nvidia CUDA mmq, this until LlamaCPP moves to a quantized KV cache allowing also to integrate within the accessory buffers. 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. 1. Occasionally, usually after several generations and most commonly a few times after 'aborting' or stopping a generation, KoboldCPP will generate but not stream. there is a link you can paste into janitor ai to finish the API set up. For. A total of 30040 tokens were generated in the last minute. Trappu and I made a leaderboard for RP and, more specifically, ERP -> For 7B, I'd actually recommend the new Airoboros vs the one listed, as we tested that model before the new updated versions were out. Switch to ‘Use CuBLAS’ instead of ‘Use OpenBLAS’ if you are on a CUDA GPU (which are NVIDIA graphics cards) for massive performance gains. Once it reaches its token limit, it will print the tokens it had generated. You can use the KoboldCPP API to interact with the service programmatically and. (for Llama 2 models with 4K native max context, adjust contextsize and ropeconfig as needed for different context sizes; also note that clBLAS is. And thought it was supposed to use more ram, but instead it goes full juice on my cpu and still ends up being that slow. .