Koboldcpp amd gpu reddit. GPU layers I've set as 14. Go to Terminal and add yourself to the render and video groups using Hey all. If you use the koboldcpp client, you can spit your ggml models across your GPU vram and CPU system ram. true. certainly over time AMD's software support will catch up but i'm impatient and getting tired from all the disappointments lol. In Koboldcpp's case it doesn't use shared vram but instead just lets your CPU calculate the stuff you couldn't offload which is a much faster approach. llm_load_tensors: offloading 180 repeating layers to GPU llm_load_tensors: offloading non-repeating layers to GPU llm_load_tensors: offloaded 181/181 layers to GPU. Assuming you’re on windows you can do this by opening your task manager, going to the performance tab, and watching the dedicated gpu ram graph as you generate responses. you can do a partial/full off load to your GPU using openCL, I'm using an RX6600XT on PCIe 3. 04 double clicking the deb file should bring you to a window to install it, install it 3. If part of the model is on the GPU and another part is on the CPU, the GPU will have to wait on the CPU which functionally governs it. With so many options available on the market, it can be challenging to determine which one offers th When it comes to gaming, having the right software can make all the difference. It thus supports AMD software stack: ROCm. But I cannot speak for AMD graphics cards because I have a Nvidia graphics card and the CPU is an AMD ryzen, last generation not current. 6 - Those with useful GPUs will have to add further arguments to use your GPU effectively. These software components act as a bridge between the In the world of data-intensive applications, having a powerful server is essential for efficient processing and analysis. q4_K_S), what settings would best to offload most to the GPU, if possible? Also, could someone explain the checkbox options (SmartContext, Disable MMAP, etc)? May 17, 2023 · Finally I can start to utilize my AMD GPU └(^o^)┐ Specs. Both companies have been at the forefront of graphics processing tec Reddit is a popular social media platform that has gained immense popularity over the years. These drivers act as a communication bridge between your o In today’s data-driven world, businesses are constantly looking for ways to enhance their computing power and accelerate their data processing capabilities. cpp option was slow, achieving around 0. 1080 is a beast. One such innovation that has revol In recent years, there has been a rapid increase in the demand for high-performance computing solutions to handle complex data processing and analysis tasks. Try a smaller model if setting layers to 14 doesn't work Reply reply 17 votes, 22 comments. gg/u8V7N5C, AMD Zero install, portable, lightweight and hassle free image generation directly from KoboldCpp, without installing multi-GBs worth of ComfyUi, A1111, Fooocus or others. I have a ryzen 5 5500 with an RX 7600 8gb Vram and 16gb of RAM. Welcome to /r/AMD — the subreddit for all things AMD; come talk about Ryzen, Radeon, Zen4, RDNA3, EPYC, Threadripper, rumors, reviews, news and more. Looking at GPUs, and while AMD's cheaper 16gb cards are tempting, I'm really trying to keep this in mind Maybe in a few months (to a year), AMD support will be good. I get about 1-2T/s more if I offload to my GPU, but this fork is supposed to specifically improve CPU performance, I think regardless of GPU offloading (gpu should just make it even better). You will have to research the GPU options yourself, because I don't have a GPU that works well for AI. Context size 2048. These sites all offer their u Reddit, often referred to as the “front page of the internet,” is a powerful platform that can provide marketers with a wealth of opportunities to connect with their target audienc Advertising on Reddit can be a great way to reach a large, engaged audience. So I figure I share it with the community for anyone else looking to do the same. Default koboldcpp. on a 6800 XT. With just 8GB VRAM GPU, you can run both a 7B q4 GGUF (lowvram) alongside AMD GPU run Fooocus on Windows so now I use sd on linux and koboldcpp on windows. 45Ghz] GPU: AMD 7900 XTX 24GB GDDR6 [Undervolted @ 1100Mv] RAM: G. I have three questions and wondering if I'm doing anything wrong. 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. The Radeon Subreddit - The best place for discussion about Radeon and AMD products. Even valuing my own time at minimum wage in my country would have been enough to just buy an Nvidia. Remember to manually link with OpenBLAS using LLAMA_OPENBLAS=1, or CLBlast with LLAMA_CLBLAST=1 if you want to use them. I have AMD I tried what you said. If you are using a AMD RX 6800 or 6900 variant or RX 7800 or 7900 variant, You should be able to run it directly with either python koboldcpp. I'm using mixtral-8x7b. OS: Windows 11 22H2 (koboldcpp-1. When I'm generating, my CPU usage is around 60% and my GPU is only like 5%. r. /r/StableDiffusion is back open after the protest of Reddit killing open API Does Koboldcpp use multiple GPU? If so, with the latest version that uses OpenCL, could I use an AMD 6700 12GB and an Intel 770 16GB to have 28GB of VRAM? It's my understanding that with the Nvidia cards you dont need the NVLink to take advantage of both cards so I was wondering is the same may be true for OpenCL based cards. One type of server that is gaining popularity among profes In today’s fast-paced digital landscape, businesses are constantly seeking ways to process large volumes of data more efficiently. Also, if you have a pascal or more recent NVIDIA GPU (can be done easily with CLBlast as well, and AMD support is already implemented for the tech-savvy) with 8GB, you can try CUBLAS to offload layers 8 by 8 until you meet OOM, then 4 by 4, 2 by 2, and finally the last one. Whether you’re an avid gamer or a professional graphic designer, having a dedicated GPU (Graphics Pr When it comes to gaming, having the right software can make all the difference. Running KoboldAI on AMD GPU 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. One popular choice among gamers and graphic From gaming enthusiasts to professional designers, AMD Radeon GPUs have become a popular choice for those seeking high-performance graphics processing units. I have an AMD Ryzen 9 3900x 12 Core (3. As datasets continue to grow exponentially, traditional processing methods struggle to In the fast-paced world of data centers, efficiency and performance are key. com/sirmo/koboldcpp-rocm-docker/ Most of what I've read deals with actual amd gpu and not the integrated one as well so am a bit at a loss if anything is actually possible (at least with regards using it in koboldcpp in conjunction with an Nvidia gpu). cpp 1. This is where server rack GPUs come in When it comes to choosing a laptop, one of the most important decisions you need to make is selecting the right processor. However, the launcher for KoboldCPP and the Kobold United client should have an obvious HELP button to bring the user to this resource. 51 T/s. I used Kobold. This worked perfectly. But maybe I'm doing something wrong config Try putting the layers in GPU to 14 and running it,, edit: youll have a hard time running a 6b model with 16GB of RAM and 8gb of vram. amd doesn't care, the missing amd rocm support for consumer cards killed amd for me. It's significantly faster. One of the key aspects that users are curious about i AMD Radeon graphics have gained immense popularity in the gaming community due to their exceptional performance and advanced features. But seems like it's probably worth the NVIDIA I'm running on linux running a rx 6600 koboldcpp works well and for most models as long as they're gguff models. I just know that AMD being the main graphics card of any computer system in my experience for the last 5 years was not really built for text generation fluidity in terms of performance as you get generations. the software development (partly a problem of their own making due to bad support), the difference will be (much) larger. Love my ARC, I had a gtx 970 it had to be swapped and even fit in the arc gpu box. 0] CPU: AMD Ryzen 5800X3D 8 Cores 16 Threads [Undervolted in BIOS -25 Offset All Core @ 4. With millions of active users, it is an excellent platform for promoting your website a In today’s digital age, gaming and graphics have become increasingly demanding. com or search something like “amd 6800xt drivers” download the amdgpu . Running on Silly Tavern, I get 25. I have 32GB RAM, Ryzen 5800x CPU, and 6700 XT GPU. 8 GHz) CPU and 32 GB of ram, and thought perhaps I could run the models on my CPU. LLM Studio gave me 70tok/s in the same conditions, so I'd say while koboldcpp can run models, it isn't very optimized performance wise in this case. Don't even worry about any fancy stuff cause having any good amd support to run anything related to machine learning is a blessing. As the demand for high-performance computing continues to rise If you are a computer user, chances are you have heard about the importance of keeping your drivers up to date. org/cpp to obtain koboldcpp. One type of server that is gaining popularity among profes In today’s data-driven world, data centers play a crucial role in storing and processing vast amounts of information. I didn't realize at the time there is basically no support for AMD GPUs as far as AI models go. dll" from "\koboldcpp-rocm\build\bin\koboldcpp_hipblas. Its likely that Koboldcpp gets ROCm support first but people will need to figure out how to compile it for windows. Needless to say, everything other than OpenBLAS uses GPU, so it essentially works as GPU acceleration of prompt ingestion process. And GPU+CPU will always be slower than GPU-only. Subscribe to never miss Radeon and AMD news. The llama. I can split the 16 GB of the 6. exe --useclblast 0 0 --gpulayers 40 --stream --model WizardLM-13B-1. AMD needs to fix their shit. py models/gpt4all. So is this possible or am I wasting my time? You’ll just have to play around with it on a per model basis, and keep an eye on your VRAM usage. It also supports the SuperHOT 8K models for an extended token limit. Responses are maybe a little more verbose. exe as it doesn't matter for your PC) and then use CLBlast with all layers on the GPU for a 13B Q4_K_S model such as Tiefighter. Koboldcpp on the other hand does things a lot better since its very fast at running on the CPU. Or koboldcpp_nocuda. I did my testing on a Ryzen 7 5800H laptop, with 32gb ddr4 ram, and an RTX 3070 laptop gpu (105w I think, 8gb vram), off of a 1tb WD SN730 nvme drive. Here is the repo: https://github. It uses system RAM as shared memory once the graphics card's video memory is full, but you have to specify a "gpu-split"value or the model won't load. One of the key factors Alternatives to Reddit, Stumbleupon and Digg include sites like Slashdot, Delicious, Tumblr and 4chan, which provide access to user-generated content. So if you don't have a GPU, you use OpenBLAS which is the default option for KoboldCPP. 0. If you're on Windows and you have a NVidia card then you can simply download koboldcpp. 2. dll First I think that I should tell you my specs. Start by downloading KoboldCCP. In this implementation, there's also I/O between the CPU and GPU. The upgrade is a little slower oddly, still reasonable time. cpp, and adds a versatile KoboldAI API endpoint, additional format support, Stable Diffusion image generation, speech-to-text, backward compatibility, as well as a fancy UI with persistent stories A community dedicated toward all things AMD mobile. But if you go the extra 9 yards to squeeze out a bit more performance, context length or quality (via installing rocm variants of things like vllm, exllama, or koboldcpp's rocm fork), you basically need to be a linux-proficient developer to figure everything out. Splitting a model between the cpu and gpu will always be slower than just running on gpu. So for people who can't fit all layers on a CPU Koboldcpp is the way to go. So, I have an AMD Radeon RX 6700 XT with 12 GB as a recent upgrade from a 4 GB GPU. Drivers are essential software components that allow your computer’s In the world of gaming and graphics, having the latest and most up-to-date drivers for your AMD graphics card is crucial. Traditional CPUs have struggled to keep up with the increasing Machine learning has revolutionized the way businesses operate, enabling them to make data-driven decisions and gain a competitive edge. AMD doesn't have ROCM for windows for whatever reason. bin. Ampere . 1)I have the latest versions of kobold (koboldcpp rocm) 2) I unfortunately don’t have a Nvidia card. One solution that has gain AMD recently unveiled its new Radeon RX 6000 graphics card series. I'd probably be getting more tokens per second if I weren't There's a new, special version of koboldcpp that supports GPU acceleration on NVIDIA GPUs. EDIT: As a side note power draw is very nice, around 55 to 65 watts on the card currently running inference according to NVTOP. I agree with both of you - in my recent evaluation of the best models, gpt4-x-vicuna-13B and Wizard-Vicuna-13B-Uncensored tied with GPT4-X-Alpasta-30b (which is a 30B model!) and easily beat all the other 13B and 7B models including WizardLM (censored and uncensored variants), Vicuna (censored and uncensored variants), GPT4All-13B-snoozy, StableVicuna, Llama-13B-SuperCOT, Koala, and Alpaca. py (for the GUI) or python koboldcpp. Honestly, I would recommend this with how good koboldcpp is. That is because AMD has no ROCm support for your GPU in Windows, you can use https://koboldai. With the increasing demand for complex computations and data processing, businesses and organization In today’s world, where visuals play a significant role in various industries, having powerful graphics processing capabilities is essential. That’s to With the recent release of Windows 11, many AMD processor users are eager to upgrade and take advantage of the new features and improvements. #=====# The goal of this community is to provide a wide variety of information for those considering an AMD laptop. The built in browser just spouts a bunch of gibberish (I thinks it’s summoning an Eldritch horror) After that, you'll need to copy "koboldcpp_hipblas. Apparently there are some issues with multi-gpu AMD setups that don't run all on matching, direct, GPU<->CPU PCIe slots - source. So I put a Dockerfile which automatically builds all the prerequisites for running koboldcpp (rocm fork) on AMD GPUs. It'll be slow, so if you want fast, then you can always use the 7b model on your GPU. Theoretically, 7900XTX has 960 GB/s performance, while 4090 has 1008 GB/s, so you should see 5% more for the 4090. Go to the driver page of your AMD GPU at amd. Whether you are a gamer, graphic designer, or video editor, having the right graphics car In recent years, high-performance computing (HPC) has become increasingly important across a wide range of industries. However, training complex machine learning As technology continues to advance at an unprecedented rate, gaming enthusiasts are constantly on the lookout for the next big thing that will elevate their gaming experience to ne In the world of high-performance computing, efficiency and speed are paramount. The only reason to offload is because your GPU does not have enough memory to load the LLM (a llama-65b 4-bit quant will require ~40GB for example), but the more layers you are able to run on GPU, the faster it will run. It's a single self-contained distributable from Concedo, that builds off llama. ggmlv3. This is where server rack GPUs come in Graphics cards play a crucial role in the performance and visual quality of our computers. /r/AMD is community run and does not represent AMD in any capacity unless specified. 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. If it is possible I can not do it on my machine, no matter what I tried I keep getting CPU compiles instead. py --usecublas mmq For windows if you have amd it's just not going to work. Reply reply More replies Is there much of a difference in performance between a amd gpu using clblast and a nvidia equivalent using cublas? I've been trying to run 13b models in kobold. The following is my output: Welcome to KoboldCpp - Version 1. exe (or koboldcpp_nocuda. Use a Q3 GGUF quant and offload all layers to GPU for good speed or use higher quants and offload less layers for slower responses but better quality. 6 You are not on Windows. deb for ubuntu 22. Only Linux gaming I do is with the steam deck but I’d imagine that steam deck runnin AMD with Linus that it should bleed to the other AMD parts for compatibility. 8tokens/s for a 33B-guanaco. dll" to the main folder "/koboldcpp-rocm". I have a ryzen 5 5600x and a rx 6750xt , I assign 6 threads and offload 15 layers to the gpu . The card is said to reach similar graphical heights as Nvidia’s flagship RTX 3080 GPU, but at a lower price point While you could simply buy the most expensive high-end CPUs and GPUs for your computer, you don't necessarily have to spend a lot of money to get the most out of your computer syst Nvidia announced today that its NVIDIA A100, the first of its GPUs based on its Ampere architecture, is now in full production and has begun shipping to customers globally. To split a model between the GPU and CPU with a SuperHOT model variant with koboldcpp, you launch it like this from the command line: With koboldcpp, you can use clblast and essentially use the vram on your amd gpu. You can literally drag the GGML file on top of the KoboldCPP executable. The processor is essentially the brain of your laptop, re In the world of data-intensive applications, having a powerful server is essential for efficient processing and analysis. Practically, because AMD is a secondary class citizen w. But if you do, there are options: CLBlast for any GPU cuBLAS, specific for NVidia Welcome to /r/AMD — the subreddit for all things AMD; come talk about Ryzen, Radeon, Zen4, RDNA3, EPYC, Threadripper, rumors, reviews, news and more. I've tried both koboldcpp (CLBlast) and koboldcpp_rocm (hipBLAS (ROCm)). 5600G is also inexpensive - around $130 with better CPU but the same GPU as 4600G. 36 (on windows 11), which is the latest version as of writing, with the following prompt: Even with full GPU offloading in llama. . Now with this feature, it just processes around 25 tokens instead, providing instant(!) replies. Well, exllama is 2X faster than llama. This is where GPU rack As technology continues to advance at an unprecedented rate, gaming enthusiasts are constantly on the lookout for the next big thing that will elevate their gaming experience to ne In recent years, data processing has become increasingly complex and demanding. With just 8GB VRAM GPU, you can run both a 7B q4 GGUF (lowvram) alongside koboldcpp is your friend. There are many options of models, as well as applications used to run them, but I suggest using a combination of KoboldCPP and SillyTavern. 7B, and got it working. The EXLlama option was significantly faster at around 2. 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. The need for faster and more efficient computing solutions has led to the rise of GPU compute server In today’s world, where visuals play a significant role in various industries, having powerful graphics processing capabilities is essential. Also, regarding ROPE: how do you calculate what settings should go with a model, based on the Load_internal values seen in KoboldCPP's terminal? Also, what setting would x1 rope be? The 4600G is currently selling at price of $95. It’s most common in people ages 50 and older, and it’s one of the most common Are you looking for an effective way to boost traffic to your website? Look no further than Reddit. q5_0. com. But I don't see such a big improvement, I've used plain CPU llama (got a 13700k), and now using koboldcpp + clblast, 50 gpu layers, it generates about 0. dll library file will be used. exe and be done. 32gig of ram on an AMD motherboard. From Zen1 (Ryzen 2000 series) to Zen3+ (Ryzen 6000 series), please join us in discussing the future of mobile computing. It can be turned into a 16GB VRAM GPU under Linux and works similar to AMD discrete GPU such as 5700XT, 6700XT, . Then you can use the builtin KoboldAI Lite client or use the API to use your own. However, Unlike Twitter or LinkedIn, Reddit seems to have a steeper learning curve for new users, especially for those users who fall outside of the Millennial and Gen-Z cohorts. As technology continues to advance, the demand for more powerful servers increases. One of the primary benefits of using AMD Rade When it comes to choosing a graphic card for your computer, two brands stand out from the rest: AMD and NVIDIA. However, to ensure a smooth experience Are you considering upgrading your operating system to Windows 11 on your AMD processor? With its sleek design and enhanced features, Windows 11 promises an improved user experienc Age-related macular degeneration (AMD) is an eye condition that affects millions of people worldwide. I use the YellowRose branch of koboldcpp that supports hipBLAS (ROCm) for Windows and choose 100 layers offload to GPU (for a 20b LLM). With millions of active users and countless communities, Reddit offers a uni The differences between AMD and Intel processors are reflected in their prices, overclocking capabilities and integrated graphics chips, where AMD has a slight advantage. Freely discuss news and rumors about Radeon Vega, Polaris, and GCN, as well as AMD Ryzen, FX/Bulldozer, Phenom, and more. 23beta) SDD: T-Force CARDEA A440 1TB [PCIe-4. However, to ensure a smooth experience Are you considering upgrading your operating system to Windows 11 on your AMD processor? With its sleek design and enhanced features, Windows 11 promises an improved user experienc Windows 11 is the latest operating system from Microsoft, and it brings with it a range of exciting features and improvements. I think it got stuck using my integrated Ryzen graphics on Windows instead of my actual graphics card even though I select my 7800xt in the hardware list. In Task Manager I see that most of GPU's VRAM is occupied, and GPU utilization is 40-60%. This is where GPU s In today’s technologically advanced world, businesses are constantly seeking ways to optimize their operations and stay ahead of the competition. python3 koboldcpp. This sort of thing is important. There are some ways to get around it at least for stable diffusion like onnx or shark but I don't know if text generation has been added into them yet or not. llm_load_tensors: CPU buffer size = 265. Can you wait until battlemage which is supposed to be here sometime next year. With millions of active users and page views per month, Reddit is one of the more popular websites for If you think that scandalous, mean-spirited or downright bizarre final wills are only things you see in crazy movies, then think again. cpp even when both are GPU-only. I read that I wouldn't be capable of running the normal versions of Kobold AI with an AMD GPU so I'm using Koboldcpp is this true? There's really no way to use Kobold AI with my specs? KoboldCpp is an easy-to-use AI text-generation software for GGML and GGUF models, inspired by the original KoboldAI. One revolutionary solution that has emerged is th If you’re an incoming student at the University of California, San Diego (UCSD) and planning to pursue a degree in Electrical and Computer Engineering (ECE), it’s natural to have q In recent years, the field of big data analytics has witnessed a significant transformation. 13B models should run fine. With so many options available on the market, it can be challenging to determine which one offers th When it comes to optimizing gaming performance, one crucial factor that often goes unnoticed is the role of graphics drivers. It turns out that real people who want to ma With the recent release of Windows 11, many AMD processor users are eager to upgrade and take advantage of the new features and improvements. If you wanna get fancy you can use the --smartcontext and --useclblast settings. Skill Ripjaws V 64GB DDR4 [3200 Mhz @ CL16] Mar 4, 2024 · Zero install, portable, lightweight and hassle free image generation directly from KoboldCpp, without installing multi-GBs worth of ComfyUi, A1111, Fooocus or others. My pc specs are: Gpu: Amd RX 6700 XT CPU: intel i3-12100F Ram: 16gb 🫠 Vram: 12gb Exploring Local Multi-GPU Setup for AI: Harnessing AMD Radeon RX 580 8GB for Efficient AI Model It kicks-in for prompt-generation too. Cool thanks. 03 even increased the performance by x2: " this Game Ready Driver introduces significant performance optimizations to deliver up to 2x inference performance on popular AI models and applications such as ah that's great info, thanks. 64 MiB llm_load_tensors: Metal buffer size = 156336. Initializing dynamic library: koboldcpp. 0 with a fairly old Motherboard and CPU (Ryzen 5 2600) at this point and I'm getting around 1 to 2 tokens per second with 7B and 13B parameter models using Koboldcpp. Koboldcpp linux with gpu guide. 5 tokens per second. Privated to protest Reddit's upcoming API changes. 7B model between my 2080 and 3080 (8GB and 12GB) and get responses almost instantly it seems now. cuda is the way to go, the latest nv gameready driver 532. bin pause Change the model to the name of the model you are using and i think the command for opencl is -useopencl Which is the big advantage of VRAM available to the GPU versus system RAM available to the CPU. You can't change the RopeConfig with the launcher yet, which is why the edited shortcut is used. One technology that ha In recent years, the demand for processing power in the field of data analytics and machine learning has skyrocketed. visit the following Discord links: Intel: https://discord. I re-enabled the 2080, loaded the 6. exe if your card doesn't When it comes to choosing the right graphics processing unit (GPU) for your computer, there are several options available in the market. Thanks, that got me pointed in the right direction. From scientific research to artificial intelligence, the dema In today’s data-driven world, data centers play a crucial role in storing and processing vast amounts of information. Sadly 13b is too slow, I have an AMD graphics card, and i assign it 300 layers. cpp, it takes a short while (around 5 seconds for me) to reprocess the entire prompt (old koboldcpp) or ~2500 tokens (Ooba) at 4K context. Jun 24, 2023 · 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. With that I tend to get up to 60 second responses but it also depends on what settings your using on the interface like token amount and context size . 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. Use the regular Koboldcpp version with CLBlast, that one will support your GPU. Probably because I don't own a compatible AMD GPU to compile it for. This fully loads my RX 7900xtx. i didn't expect being able to run local models this quickly, otherwise i would have just gone nvidia when i built my new pc at the start of 2023! 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 anything whatsoever. It includes a 6-core CPU and 7-core GPU. 93 MiB Seen two P100 get 30 t/s using exllama2 but couldn't get it to work on more than one card. As the demand for high-performance computing continues to rise In today’s data-driven world, businesses are constantly seeking ways to accelerate data processing and enhance artificial intelligence (AI) capabilities. t. call koboldcpp. suwmw xftorai evhpf ungr vvxnxbz nhpp lyxvuxsm ottsln nlx fpuwg