N gpu layers ooga booga reddit. Coperinicium112 • 7 mo. I used to get 1. A place for any news, discussion, and fan works of the Pikmin franchise. 9 GHz). cpp gpu code might not be perfect yet and the coordination between CPU and GPU of course takes some extra time that a pure GPU execution doesn't have to deal with. Make sure to also set Truncate the prompt up to this length to 4096 under Parameters. bin --n_predict 256 --color --seed 1 --ignore-eos --prompt "hello, my name is". Originally conceived as a satire of sitcoms from The '50s and The '60s, and designed to resemble an Affectionate Parody of Leave It to Beaver (not Davey & Goliath, despite the art style), the show, despite copious amounts of Executive Meddling, ultimately evolved into one of Output generated in 70. Tom_Neverwinter. n-gpu-layers: Comes down to your video card and the size of the model. We are the largest demographic that were born from 1981 to 1996. It's possible to run the full 16-bit Vicuna 13b model as well, although the If you have 3 gpu, just have kobold run on the default gpu, and have ooba run on the second. bat so that everything goes into the correct virtual environment for the booga install. Delete or remove it and ooba defaults back to its original mystery settings which are for me at least, much faster. You can try to set GPU memory limit to 2GB or 3GB. Execute "update_windows. Do with this information what you will. yaml" in the model folders that keep the settings. I noticed that setting the temperature to 0. r/DaniDev. Both work well and quickly. cpp/llamacpp_HF, set n_ctx to 4096. (I tried a 20b q8 GGUF model that never seemed to do anything and had my GPU and CPU maxed out at 100%. Enjoy the sub and be nice to others! I am a bot, and this action was performed automatically. Since I found out that wasn't the case, every single time I start watching an Ooga booga video I can't stop picturing this: Dylan (a grown 30 something man): time to go to work. 5T/s. 5 tokens/second with pre_layer. cpp with GPU offloading, when I launch . Once you know that you can make a reasonable guess how many layers you can put on your GPU. You can disable this in Notebook settings I would send "Aaaaaaaaaahhhhhhhhhh". (P. If you're on Windows or Linux, do like 50 layers and then look at the Command Prompt when you load the model and it'll tell you how many layers there. Eustace! It's worth it. upvotes ·comments. • 3 yr. Now, I have an Nvidia 3060 graphics card and I saw that llama recently got support for gpu acceleration (honestly don't know what that really means, just that it goes faster by using your gpu) and found how to activate it by setting the "--n-gpu-layers" tag inside the webui. I think the 4090 is like 2-2. 42. I love this about dispensaries honestly. The presumed "monkey" was actually ice age baby. May 2, 2023 · Describe the bug Hello I use this command to run the model in GPU but its still run cpu, python server. md to install and set up llama. Eaten Fresh! According to the half orc in our dnd party, this is a racial slur. py --chat --gpu-memory 6 6 --auto-devices --bf16 usage: type processor memory comment cpu 88% 9G GPU0 16% 0G intel GPU1 19% 0G nvidea By using this command : python server. It's really just on or off for Mac users. Nah it ain't racist. Next step: get some airflow. You'll see the numbers on the command prompt when you load the model, so if I'm wrong you'll figure them out lol. Keep googleing bitsandbites cuda support, and when that's done, it'll likely screw up torch gpu support, and that'll need to be reinstalled as well. "Moral Orel is a Stop Motion animated show that first aired on Adult Swim from 2006–08 created by Dino Stamatopoulos. --no-mmap: Prevent mmap from being used. 6B and 7B models running in 4bit are generally small enough to fit in 8GB VRAM. It's the best colossal weapon in my opinion. After finished reboot PC. cpp (using openBLAS). Probably just needs a few tweaks to get it working right or you can go with the GPTQ variant instead if there's one available. MaximilianPs. This is the translation, this is the original: Ooga Booga ouuh u oooog uga boooga ouh auh ooogabugaa ouh hua auh booogoo Ooga Booga. But it might be for something else since they only said ooga booga and not ooga booga booga. According to this half-orc, it's praise to Lathander, but what do I know. 13 to 1. The issue only happens if you have a Nvidia GPU and integrated graphics in your CPU. 12 tokens/s, which is even slower than the speeds I was getting back then somehow). For a 33B model, you can offload like 30 layers to the vram, but the overall gpu usage will be very low, and it still generates at a very low speed, like 3 tokens per second, which is not actually faster than CPU-only mode. PC Master Race Meme Internet Culture and Memes. 8 comments. This notebook is open with private outputs. Ooga booga big! Ooga booga strong! I’m gonna song my ooga booga song! WhiteOutPL • 3 yr. So for example if you see a model that mentions 8GB of VRAM you can only put -1 if your GPU also has 8GB of VRAM (in some cases windows and other Bruh. Crypto Yeah I definitely noticed that even if you can offload more layers, sometimes the inference speed will run much faster on less gpu layers for kobold and ooba booga. cytotoxicapoptosis • 3 yr. It staggers enemies and makes them your playthings. Oobabooga not recognizing GPU for adding layers. I think the best bet is to find the most suitable amount of layers that will help run your models the fastest and most accurate. cpp-models. For Pygmalion 6B you can download the 4bit quantized model from Huggingface, add the argument --wbits 4 and remove --gpu_memory. Whatever that number of layers it is for you, is the same number you can use for pre_layer. Recently I went through a bit of a setup where I updated Oobabooga and in doing so had to re-enable GPU acceleration by u/_Ooga__Booga_ Scan this QR code to download the app now. Splitting that model across two cards in that case would slow it down. cpp (GGUF) support to oobabooga. If I remember right, a 34b has like 51, a 13b has 43, etc. Same model I get around 11-13 token/s on a 4090. compress_pos_emb is for models/loras trained with RoPE You can try, but I'm not sure how much performance you will gain. It will also tell you how much total RAM the thing is How many layers will fit on your GPU will depend on a) how much VRAM your GPU has, and B) what model you’re using, particular the size of the model (ie 7B, 13B, 70B, etc. I have an rtx 2060 and I downloaded the necessary files. yaml file to load the model as such: Pikmin. com/oobabooga/text-generation-webui/blob/main/docs/llama. Ooga Booga please I just want to be remembered and loved by my descendants Ooga Booga. People just like being offended. For example on a 13b model with 4096 context set it says "offloaded 41/41 layers to GPU" and "context: 358. You'd think, with a name like "Aerocool", they might understand what airflow is, but that case is utter fucking garbage when it comes to that. I solved it. It's racist to say that it's racist. I don’t think offloading layers to gpu is very useful at this point. Agreed. read Wiki, read Wiki, read Wiki, read Wiki, read Wiki A subreddit for Millennials also known as Generation Y. If youre looking for a chatbot even though this technically could work like a chatbot its not the most recommended. Like really slow. In ooba, modify the webui. cpp is already updated for mixtral support, llama_cpp_python is not. After done. Actually all the other comments are lying, this is how relationships are supposed to be, fighting is normal and the more you fight the more normal you are :) It does obscene damage and you can keep casting it over and over in rapid succession. ago. /build/bin/main -m models/7B/ggml-model-q4_0. For reference It's the "config-user. I mean it's only like, €40 or so, but man oh Moshxpotato • 3 yr. Checked Desktop development with C++ and installed. (I use tavern AI but look for something similar in the settings) Dashaque • 7 mo. TXT and it said this. lower the context size to something like 1020 tokens. Congrats, it's installed. Now my card has about 6gb vram and in order to run this, I needed the low spec arguments. To offload everything to the GPU A community to discuss about large language models for roleplay and writing and the PygmalionAI project - an open-source conversational language model. Edit the "start" script using a text editor and add the desired flags. depending on your cpu and model size the speed isn't too bad. py --notebook --model-menu --trust-remote-code --gpu-memory 22000MiB 6000MiB") For good measure, I modified config-user. With n-gpu-layer alongside CPU, I get 2. 15 for llama2 models. 5 can give pretty boring and generic responses that aren't properly in line with r/OOGA_BOOGA_DELUXE: Secret Sauce DMA Home. Apparently, "ooga shooga" translates to "take a bath gay. I think everyone understands how amazing and incredible Neanderthals have survived for millions of years and evolved into what we are today. Bless the Bud Tenders. I used to think the intro of Ooga Booga was prerecorded. I'm more than happy with that speed. I'm confused however about using " the --n-gpu-layers parameter. Also today I tried TheBloke_wizardLM-7B-GPTQ But it works at the same speed as 13B. Or check it out in the app stores GGML is a tensor library for machine learning written in C++ by Georgi Gerganov that primarily relies on running the model on the CPU instead of the GPU. I am running dual NVIDIA 3060 GPUs, totaling 24GB of VRAM, on Ubuntu server in my dedicated AI setup, and I've found it to be quite effective. cpp. That's the Aerocool Shard case by the look of it. dll C: \U sers \A rmaguedin \A ppData \L ocal \P rograms \P ython \P ython310 \l ib \s ite-packages \b itsandbytes \c extension. But the point is that if you put 100% of the layers in the GPU, you load the whole model in GPU. If however, the model did not fit on one card and was using system RAM; it would speed up significantly. r/RandomActsOfGaming. Oh and look at your task manager (or system monitor if linux) and make sure the GPU is doing the processing and not the CPU of your system (when its running a text generation). A community for links to products that are on sale at various websites. Today I installed and launched two 7B models. (Here are the github instructions for reference). Quality NOT Guaranteed. Oobabooga does have documentation for this here: I started to tinker with webui to have the following gpu_memory; run_cmd ("python server. Business, Economics, and Finance. The n_gpu_layers slider is what you’re looking for to partially offload layers. So now llama. I checked the INSTRUCIONS. On top of that, it takes several minutes before it even begins generating the response. Has anyone tried this before? oobabooga4. I don't know how much ram you have, but that way you could maybe even try a 60something model while still getting from your gpu what it offers. 8 or 12. kobold. If the model can fit inside the VRAM on one card, that will always be the fastest. It's really slow. Please contact the moderators of this subreddit if you have any questions or concerns. TheBloke_vicuna-7B-1. Load it in 8 bit and turn off text streaming. However its a pretty simple fix and will probably be ready in a few days at max. 200. 203 Online. It is about 2 tokens per second for me, with 45 layers on GPU. 8-bit optimizers, 8-bit multiplication The slow generation is because you are splitting the model between GPU and CPU. I've got it running, so I can go through the steps I took to install it, however I assume it'll only work if you're on windows 10 and have an NVIDIA GPU, cause it seems the install instructions are different depending on your GPU, and that's what I'm running. When running smaller models or utilizing 8-bit or 4-bit versions, I achieve between 10-15 tokens/s. When trying to load a 14GB model, mmap has to be used since with OS overhead and everything it doesn't fit into 16GB of RAM. Dec 18, 2023 · The first trace of "ooga booga" on the internet was in February 2023 when a Reddit user posted about it on the platform in a post titled " Amusing Instagram Translation . If you have a short character card the first 2-3 messages are more likely to have issues, editing them out and continuing on can often fix many issues. The log says offloaded 0/35 layers to GPU, which to me explains why is fairly slow when a 3090 is available, the output is: Make sure they fit inside your cards VRAM (as dumping them into system ram can be slow). GameStop Moderna Pfizer Johnson & Johnson AstraZeneca Walgreens Best Buy Novavax SpaceX Tesla. Chat, ask questions. well thats a shame, i suppose i shall delete the ooga booga as well as the model and try again with lhama. I literally watched ALL Dylan’s After videos in one sitting a week after watching Dylan’s Harry Potter vid and only just made the connection that baby Voldemort is Hardin and honestly I feel like Dylan needs this info. Sorry if I might sound stupid but, what is 8 bit and text streaming? Try this one, and load it with the llamacpp loader. Open Tools > Command Line > Developer Command Prompt. 7 t/s And 13B ggml CPU/GPU much faster (maybe 4-5 t/s) and GPTQ 7B models on GPU around 10-15 tokens per second on GTX 1080. 211K subscribers in the shittydarksouls community. Should have invented writing and recorded history. [deleted] • 4 yr. 00 MiB" and it should be 43/43 layers and a context around 3500 MIB This make the inference speed far slower than it should be, mixtral load and "works" though but wanted to say it in case it happens to someone else. Jun 20, 2023 · While using WSL, it seems I'm unable to run llama. 9-1. The weapon itself is also disgustingly powerful and will stagger anything. We know it uses 7168 dimensions and 2048 context size. -2. Set the number of layers to offload based on your VRAM capacity, increasing the number gradually until you find a sweet spot. (or 1980 to 2000 in the absolute loosest definition). environ["CUDA_VISIBLE_DEVICES"] = '1' This will point to the second card, 2 would be the third card. cpp works pretty well in windoes and seems to use the gpu to some degree. If you set the number higher than the available layers for the model, it'll just default to the max. The business is booming so quickly it’s hard to keep up these days. 1. Repeat until you found a sweet spot where you don't run out of VRAM while generating text. You tell a regular pharmacist that shit they’ll bar you from a whole list of meds. You'll need somewhat more for context size and cuda, at least 1GB. bat" located on "/oobabooga_windows" path. 1 depending on what version of torch you use. A post on huggingface someone used --pre_layer 35 with a 3070 ti, so it is worth testing different values for your specific hardware. Log In / Sign Up; Advertise on Reddit LeoWhitefang • 7 mo. A helpful commenter on github (xNul) says "you're trying to run a 4bit GPTQ model in CPU mode, but GPTQ only exists in GPU mode. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF This is a community for my YT viewers to post scary vids that I react to. Note that, at the time of writing, overall throughput is still lower than running vLLM or TGI with unquantised models, however using AWQ enables using much smaller GPUs which can lead to easier deployment and overall cost savings. This is true for me when I use gptq (only supported by the 3090), but when using gguf (to utilize the P40s as well) I keep filling up the normal ram too, even if I just set 256/256 n-gpu-layers and don't touch anything else in ooba ui. It's way faster than simple pre_layer. Set it to "51" and load the model, then look at the command prompt. the u/ooga_booga__ Expand user menu Open settings menu. Crypto Logos edited cleanly to seem like the original but read as something else. The pre_layer setting, according to the Oobabooga github documentation is the number of layers to allocate to the GPU. On ExLlama/ExLlama_HF, set max_seq_len to 4096 (or the highest value before you run out of memory). Sort by: Add a Comment. Join. n_batch: 512 n-gpu-layers: 35 n_ctx: 2048 My issue with trying to run GGML through Oobabooga is, as described in this older thread, that it generates extremely slowly (0. yaml file, which I opened with Note++ and found the layers line you mentioned and changed it's valued from 0 to 15. May 25, 2023 · Open Visual Studio Installer. I don't know how viable this is for me though. Adding Mixtral llama. 85 votes, 68 comments. I have 32 GB of RAM, an RTX 3070 with 8 GB of VRAM, and an AMD Ryzen 7 3800 (8 cores at 3. So why not use the GPU on everything. It's just monstrous in every way. # Adding flags like --chat, --notebook, etc. Not sure if it can do this for the whole context length, but it is what it is. An upper bound is (23 / 60 ) * 48 = 18 layers out of 48. Reason issue happens is because Nvidia drivers are telling the Oculus app to use the integrated graphics instead of your graphics card, but the integrated graphics are incompatible with Oculus. 4. Due to GPU RAM limits, I can only run a 13B in GPTQ. I can load a GGML model and even followed these instructions to have DLLAMA_CUBLAS (no Yep! When you load a GGUF, there is something called gpu layers. This is the speed I used to infer at 33B so one RTX-4090 really helped with that, but unfortunately I did not get a 4 memory channel DDR5 monster from AMD when I built a computer for this. amd has finally come out and said they are going to add rocm support for windows and consumer cards. I rate this meme 4/5 unga bungas. Ooga booga. bat and select 'none' from the list. 25K subscribers in the PygmalionAI community. While llama. Because of disk thrashing. S. Hello! So I've installed the webui and downloaded pygmalionai, but the instructional video showed that there would be a slider for letting the GPU handle things. I bought Golden Cheeta Piss strain the other day. Add an "import os" Then when you get out the imports add: os. I used W++ formatting for both TavernAI and oobabooga. Or check it out in the app stores Thanks for pointing this solution out. When it asks you for the model, input mayaeary/pygmalion-6b_dev-4bit-128g and hit enter. Apparently the one-click install method for Oobabooga comes with a 1. Either way it's their word and we shouldn't use it. py. make sure you're running all your install commands from the supplied cmd-windows. [deleted] • 10 mo. 8. r/buildapcsales. Rep pen generally should be increased to around 1. Comma-separated list of proportions. • 7 mo. The answers are there. I curate the good ones every week on video. On a 7B 8-bit model I get 20 tokens/second on my old 2070. r/Oobabooga. Therefore, a GPU layer is just a layer that has been loaded into VRAM. edit: Made a Each layer has thousands or millions of calculations and the GPU is set up to do hundreds or thousands of the calculations in parallel. The most excellent JohannesGaessler GPU additions have been officially merged into ggerganov's game changing llama. Kobold is more a story based ai more like novelai more useful for writing stories based on prompts if that makes any sense. The problem is that it doesn't activate. 12 GiB already allocated; 18. It rocks. 8K votes, 67 comments. It's not a waste really. Install CUDA Toolkit 11. Once that is done, boot up download-model. Apr 20, 2023 · R4X70Non Apr 25, 2023. " And if you add different emojis to the ending of ooga . If each layer output has to be cached in memory as well; More conservatively is: 24 * 0. There is NO SOURCING allowed on reddit or r/pillhead! We only allow images on Saturday & Sunday, so please wait until the weekend to post your dope porn. Or use a GGML model in CPU mode. Modify the web-ui file again for --pre_layer with the same number. Download a model which can be run in CPU model like a ggml model or a model in the Hugging Face format (for example "llama-7b-hf"). The two spaces seems important cause even one space doesn't seem to work. Sorry if the formatting is With model loaded, GPU is at 10% and GPU is at 0% This is the first setup I've gotten to work. 5-3 tokens/second. 30 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. Also, —xformers is a new argument for ooba, it wasnt Cloud GPU OogaBooga with locally running Tavern. r/EldenRingBuilds. It's usable. " In that post, variations of the term were also discussed. py:34: UserWarning: The installed version of bitsandbytes was compiled without GPU support. I tried with different numbers for pre_layer but without success. r/dndmemes is leaking again! Ooga, not ogga. As far as whether using two GPU's is faster, it depends on the model size. For example, 7b models have 35, 13b have 43, etc. Jun 18, 2023 · Finally, run the model. Mar 27, 2023 · Tried to allocate 22. However, the layers are large and need to be put in the appropriate memory so that the processor can access them. Anywhere from 20 - 35 layers works best for me. But my client don't recognize RTX 3050 and continuing using cpu. Technical Question. 91K Members. 143 upvotes · 17 comments. 4bit_alpaca-7b-native-4bit. As in not toks/sec but secs/tok. I was kind worried without knowing what file exactly I should go. py --model TheBloke_Wizard-Vicuna-30B-Uncensored-GPTQ --chat --xformers --sdp-attention --wbits 4 --groupsize 128 --model_type Llama --pre_layer 21 11. 1-GPTQ-4bit-128g. Make sure you have up to date Nvidia Drivers and you didn't specify what OS you If you comment "Ooga booga" and put two spaces after "booga", the translate button for English users displays "Be careful with the p*ssy". You forgot one thing. Sad Ooga Booga noises. How to use GPU with Large Models. Since I do not have enough VRAM to run a 13B model, I'm using GGML with GPU offloading using the -n-gpu-layers command. Offloading half the layers onto the GPU's VRAM though, frees up enough resources that it can run at 4-5 toks/sec. kexibis. The first step is figuring out how much VRAM your GPU actually has. Even though the llama. We list the required size on the menu. u/Ooga_____Booga. 16 tokens/s, 993 tokens, context 22, seed 649431649) Using the default ooba interface, model settings as described in the ggml card. Sits alone in his apartment. There is a new memory issue with ggml models. maplinxx. 11 seconds (14. Again my hardware is a 3060 and 11800H with 16GB ram. Monitors, cables, processors, video cards, fans, cooling, cases, accessories, anything for a PC build. Scan this QR code to download the app now. 3B model from Facebook which didn't seem the best in the time I experimented with it, but one thing I noticed right away was that text generation was incredibly fast (about 28 tokens/sec) and my GPU was being utilized. Llama-2 has 4096 context length. For CPU usage we can just add a flag --cpu. --mlock: Force the system to keep the model in RAM. 12 MiB free; 15. For example, a 70B model can be run on 1 x 48GB GPU instead of 2 x 80GB. Top 2% Rank by size. I’ll bring out the cancer lothric knight straight sword + lightning weapon we will see who is laughing now. Use oobabooga set up for GPU, set pre-layers to a certain number (the higher the number, the more layers are moved to GPU), reload the model. --n-gpu-layers N_GPU_LAYERS: Number of layers to offload to the GPU. I think they're referring to courage the cowardly dog, Eustace would put on a mask and yell "Ooga Booga Booga" and courage would always scream "Aaaaaaaah". Open Visual Studio. If you share what GPU or at least how much VRAM you have, I could suggest an appropriate quantization size, and a rough estimate of how many layers to offload. However, when I load pygmalion, I can see it's clearly using my CPU instead and there's no GPU slider in the models tab? On GGGM 30b models on an i7 6700k CPU with 10 layers offloaded to a GTX 1080 CPU I get around 0. py file. 5x faster than a 3060 so your speed looks alright to me. " I've followed the instructions (successfully after a lot of roadblocks) at https://github. Download the 1-click (and it means it) installer for Oobabooga HERE . Outputs will not be saved. Starts screaming "OOOGAA BOOOGA OOOGAA BOOGAAAA" to a camara. F1_LM. The more of the GGUF model you can fit on your GPU, the better. Mythomax doesnt like the roleplay preset if you use it as is, the parenthesis in the response instruct seem to Because even just loading a TavernAI card into oobabooga makes it like 100x better. If you used an NVIDIA GPU, utilize this flag to offload computations to the GPU. Ooga Booga Skywalker Cake. Jun 25, 2023 · You have only 6 GB of VRAM, not 14 GB. Best. If you built the project using only the CPU, do not use the --n-gpu-layers flag. Click on Modify. ) and quantization size (4bit, 6bit, 8bit) etc. The default of 0. cpp officially supports GPU acceleration. r/teenagers. Hallelujahhomie • 3 yr. And I did choose my GPU from the option list. Can anyone point me to a clear guide or explanation of how to use GPU assistance on large models? I can run GGML 30B models on CPU, but they are fairly slow ~1. On llama. 81 (windows) - 1 (cuda ) - (2048 * 7168 * 48 * 2) (input) ~ 17 GB left. r/YoTroublemakers. 3. apk so us oculus quest bois can Sideload it! (Sorry for bad pic Inside the oobabooga command line, it will tell you how many n-gpu-layers it was able to utilize. "ooga booga" is just a millennial/gen z meme. Like so: llama_model_load_internal: [cublas] offloading 60 layers to GPU. 00 MiB (GPU 0; 15. cpp, thanks for the advice! For GPU layers or n-gpu-layers or ngl (if using GGML or GGUF)- If you're on mac, any number that isn't 0 is fine; even 1 is fine. 9 in oobabooga increases the output quality by a massive margin. While it is optimized for hyper-threading on the CPU, your CPU has ~1,000X fewer cores compared to a GPU and is therefore slower. Edited* I put a captal B in above explanation, it only works with a lowercase b. 89 GiB total capacity; 15. MembersOnline. Ooga/Tavern two different ways to run the AI which you like is based on preference or context. From the technology, the expansion of language, our evolved survival and survived instincts. It's quite literally as shrimple as that. Using CPU alone, I get 4 tokens/second. ". Model: WizardLM-13B-Uncensored-Q5_1-GGML. ) Now this is an AVENGERS LEVEL THREAT ( I know that everyone has seen a lot of posts like this but I just want to play my part and say UNITE against UNITY. Move to "/oobabooga_windows" path. Shitty Dark Souls is a community that celebrates the awesomeness, and. News. But I went to the models directory as you said and in there I found a config. Dani please port ooga booga to . Jun 20, 2023 · bin C: \U sers \A rmaguedin \A ppData \L ocal \P rograms \P ython \P ython310 \l ib \s ite-packages \b itsandbytes \l ibbitsandbytes_cpu. 0 is off, 1+ is on. --tensor_split TENSOR_SPLIT: Split the model across multiple GPUs. IIRC if you want to play ooga booga CB where you spam SAED all the time you only need to concern about the weapon's raw and choose impact phial right ? So does that mean the best weapon choice is the diablos and rajang one at 230 attack ? Though diablos seems to be a bit better with some extra Def boost and slot Also what skill should I aim ? If you've got a GGML model and your CPU and system RAM are going crazy while your GPU is napping, then it's running off of your CPU instead of GPU. I have everything setup on ooga for external api usage but tavern seems to be unable to connectI’ll admit, docker/containers are something I never really dove into. --n_batch: Maximum number of prompt tokens to batch together when calling llama_eval. dj uo hp io hz uf hk ro tg qw