Koboldai exllama reddit. Check out the sidebar for intro guides.

Koboldai exllama reddit I'm puzzled by some of the benchmarks in the README. Both teams use slightly different model structures which is why you have 2 different options to load them. Re-downloaded everything, but this time in the auto install cmd I picked the option for CPU instead of GPU and picked Subfolder instead of Temp Drive and all models (custom and from menu) work fine now. After I wrote it, I followed it and installed it successfully for myself. I think someone else posted a similar question and the answer was that exllama v2 had to be "manually selected", that is unlike the other back ends like koboldcpp, kobold united does not P40 is better. We ask that you please take a minute to read through the rules and check out the resources provided before creating a post, especially if you are new here. I actually never used groups in ST, Im talking more of character cards consisting of multiple characters like an RPG Bot, Kayra has hard time with having logical actions but I think it has a chance in groups as groups unlike multiple characters card, has its If you imported the model correctly its most likely the Google Drive limit being hit and to many people using it recently, we are having this on our in development 6B colab as well. i'm going to assume your KoboldAI is The NSFW ones don't really have adventure training so your best bet is probably Nerys 13B. We laughed so hard. 10 vs 4. cpp and exllama, in my opinion. Right now this ai is a bit more complicated than the web stuff I've done. Honestly. cpp (a lightweight and fast solution to running 4bit quantized llama models locally). 11) while being Ngl it’s mostly for nsfw and other chatbot things, I have a 3060 with 12gb of vram, 32gb of ram, and a Ryzen 7 5800X, I’m hoping for speeds of around 10-15sec with using tavern and koboldcpp. Barely inferencing within the 24GB VRAM. Exllama V2 has dropped! Hi, I'm new at these Ai stuff, I was using AI dungeon first, but since that game is Dying I decide to change to Kobold AI (best decision of my life) I've been using KoboldAI Client for a few days together with the modified transformers library on windows, and it's been working perfectly fine. The Airoboros llama 2 one is a little more finicky and I ended up using the divine intellect preset, cranking the temperature up to 1. TPU or GPU recommendations for my Linux workstation I'm looking to get either a new/secondary GPU or a TPU for use with locally-hosted KoboldAI and TensorFlow experimentation more generally. This is self contained distributable powered by Complete guide for KoboldAI and Oobabooga 4 bit gptq on linux AMD GPU Tutorial | Guide Fedora rocm/hip installation. KoboldAI join leave 10,606 readers. Just follow the steps in the post and it'll work. TavernAI - friendlier user interface + you can save character as a PNG KoboldAI - not tested yet. Hi so I'm a bit of noob when it comes to these types of stuff. A lot of that depends on the model you're using. com, WindowAI) Looks like this thread got caught by reddit's spam filter. My goal is to run everything offline with no internet. not to be rude to the other people on this thread, but wow do people routinely have no idea how the software they're interacting with actually works. Or check it out in the app stores     TOPICS. Or check it out in the app stores   ExLlama doesn't support 8-bit GPTQ models, so llama. Since I myself can only really run the 2. Terms & Policies Welcome to the KoboldAI Subreddit, since we get a lot of the same questions here is a brief FAQ for Venus and JanitorAI. I just loaded up a 4bit Airoboros 3. Advertisement Coins. ) LLama-2 70B groupsize 32 is shown to have the lowest VRAM requirement (at 36,815 MB), but wouldn't we expect it to be the highest? The perplexity also is barely better than the corresponding quantization of LLaMA 65B (4. I was just wondering, what's your favorite model to use and why? /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the site. GPTQ can be used with different loaders but the fastest are Exllama/Exllamav2, EXL2 works only with Exllamav2. Recent commits have higher weight than older ones. q6_K version of the model (llama. GPTQ-for-LLaMa - 4 bits use the following search parameters to narrow your results: subreddit:subreddit find submissions in "subreddit" author:username find submissions by "username" site:example. Expand user menu Open settings menu. 178. ) Although, I do have an Oobabooga notebook (Backend only) specifically set up for MythoMax that works pretty well with a context length of 4096, and a very decent generation speed of about 9 to 14 tokens per second. Renamed to KoboldCpp. We added almost 27,000 lines of code (for reference united was ~40,000 lines of code) completely re-writing the UI from scratch while maintaining the original UI. 4 bit GPTQ over exllamav2 is the single fastest method without tensor parallel, even GPT-2 are models made by OpenAI, GPT-Neo is an open alternative by EleutherAI. Or check it out in the app stores Let me know if you want a guide for KoboldAI too. (They've been updated since the linked commit, but they're still puzzling. I'm thinking its just not supported but if any of you have Upvote for exllama. cpp/KoboldAI] I was looking through the sample settings for Llama. ai/ to find maybe 1 or 2 thousand tokens (maybe more, maybe less, should be at least 1k though)? You will need to use ExLlama to do it because it uses less VRAM which It's been a while since I've updated on the Reddit side. It handles storywriting and roleplay excellently, is uncensored, and can do most instruct tasks as well. 4 GB/s (12GB) P40: 347. cpp doesn't have k quants there or anything. KoboldAI is originally a program for AI story writing, text adventures and chatting but we decided to create an API for our software so other software developers had an easy solution for their UI's and websites. cpp and I found a thread around the creation of the initial repetition samplers where someone comments that the Kobold repetition sampler has an option for a "slope" parameter. However, I fine tune and fine tune my settings and it's hard for me to find a happy medium. With the above settings I can barely get inferencing if I close my web browser (!!). r/KoboldAI How does one manually select Exllama 2? I've tried to load exl2 files and all that happens is the program crashes hard. 85 and for consistently great results through a chat they ended up being much longer than the 4096 context size, and as long as you’re using updated version of Get the Reddit app Scan this QR code to download the app now. AutoGPTQ, depending on the version you are using this does / does not support GPTQ models using an Exllama kernel. And what does . I was wondering how much it was going to stress the CPU given that the conversion and quantization steps only Thanks for posting such a detailed analysis! I'd like to confirm your findings with my own, less sophisticated benchmark results where I tried various batch sizes and noticed little speed difference between batch sizes 512, 1024, and 2048, r/KoboldAI • by Stunning-Chart-2727. So it's not done in parallel, either. KoboldAI/LLaMA2-13B-Tiefighter-GGUF. Or check it out in the app stores   GGML is beating exllama through cublas. It was quick for a 70B model and the Roleplay for it was extravagant. What should I be considering when choosing the right project(s)? I use Linux with an AMD GPU and setup exllama first due to its speed. It goes without saying if you use an Ada A6000 or two 4090s it could go even faster =] A place to discuss the SillyTavern fork of TavernAI. Members Online. We are Reddit's primary hub for all things modding, from troubleshooting for beginners to creation of mods by experts. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the site. 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. To help answer the commonly asked questions and issues regarding KoboldCpp and ggml, I've assembled a comprehensive resource addressing them. GPTQ-for-LLaMa - 4 bits quantization of LLaMa using GPTQ KoboldAI - KoboldAI is generative AI software optimized for fictional use, but capable of much more! Everyone is praising the new Llama 3s, but in KoboldCPP, I'm getting frequent trash outputs from them. You can't use Tavern, KoboldAI, Oobaboog without Pygmalion. Just make sure to get the 12GB version otherwise this does not apply. It offers the standard array of tools, including Memory, Author's Note, World Info, Save & Load, adjustable AI settings, formatting options, and the ability to Alternatively, on Win10, you can just open the KoboldAI folder in explorer, Shift+Right click on empty space in the folder window, and pick 'Open PowerShell window here'. com find View community ranking In the Top 10% of largest communities on Reddit. Not just that, but - again without having done it - my understanding is that the processing is serial; it takes the output from one card and chains it into the next. Post the ones that really appeal to you here and join in the discussion. I didn’t do 65b in this test, but I was only getting 2-3 t/s in Ooba and 13 t/s in exllama using only the A6000. because its 50% faster for me I never enjoy using Exllama's for very long. So just to name a few the following can be pasted in the model name field: - KoboldAI/OPT-13B-Nerys-v2 - KoboldAI/fairseq-dense-13B-Janeway Koboldcpp is a CPU optimized solution so its not going to be the kind of speeds people can get on the main KoboldAI. The Wiki recommends text generation web UI and llama. KoboldAI users have more freedom than character cards provide, its why the fields are missing. 05 in PPL really mean and can it compare across backends? Two brand new UI's (The main new UI which is optimized for writing, and the KoboldAI Lite UI optimized for other modes and usage across all our products, that one looks like our old UI but has more modes) . I've tried different finetunes, but all are susceptible, each to different degrees. i'll look into it. No idea if these are available for KoboldCPP but KoboldAI does have exllama and it works very fast. I'm thinking its just not supported but if any of you have made it work please let me know. Go here for guides Alpaca 13B 4bit understands german but replies via KoboldAI + TavernAI are in english at least in that setup. Not insanely slow, but we're talking a q4 running at 14 tokens per second in AutoGPTQ vs 40 tokens per second in ExLlama. The original and largest Tesla community on Reddit! An unofficial forum of owners and enthusiasts. I have heard its slower than full on Exllama. KoboldAI command prompt and running the "pip install" command followed by the whl file you downloaded. dev KoboldAI United can now run 13B models on the GPU Colab! They are not yet in the menu but all your favorites from the TPU colab and beyond should work (Copy their Huggingface name's not the colab names). 57:5000 Get app Get the Reddit app Log In Log in to Reddit. . 31, and adjusting both Top P and Typical P to . More info A place to discuss the SillyTavern fork of TavernAI. Oobabooga in chat mode, with the following character context. More info For the record, I already have SD open, and it's running at the address that KoboldAI is looking for, so I don't know what it needed to download. Thus far, I ALWAYS use GPTQ, ubuntu, and like to keep everything in RAM on 2x3090. cpp 8-bit through llamacpp_HF emerges as a good option for people Reddit iOS Reddit Android Reddit Premium About Reddit Advertise Blog Careers Press. ### Response: Open the Model tab, set the loader as ExLlama or ExLlama_HF. Of course, the Exllama backend only works with 4-bit GPTQ models. comments There's a PR here for ooba with some instructions: Add exllama support (janky) by oobabooga · Pull Request #2444 · oobabooga/text-generation-webui (github. Help. KoboldAI. The Reddit LSAT Forum. The IP you need to enter in your phone's browser is the local IP of the PC you're running KoboldAI on and looks similar to this: 192. This subreddit has gone Restricted and reference-only as part of a mass protest against Reddit's recent API changes, which break third-party apps and moderation Not the (Silly) Taverns please Oobabooga KoboldAI Koboldcpp GPT4All LocalAi Cloud in the Sky I don’t know you tell me. The best place on Reddit for LSAT advice. Discussion for the KoboldAI story generation client. a simple google search could have confirmed that. Please use our Discord server instead of supporting a company that acts against its users and 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. cpp and Exllama do support alpha. It’s been a long road but UI2 is now released in united! Expect bugs and crashes, but it is now to the point we feel it is fairly stable. But do we get the extended context length with Exllama_HF? View community ranking In the Top 5% of largest communities on Reddit [Llama. alpindale. If your video card has less bandwith than the CPU ram, it probably won't help. (rest is first output from Neo-2. com. AI datasets and is the best for the RP format, but I also read on the forums that 13B models are much better, and I ran GGML variants of regular LLama, Vicuna, and a few others and they did answer more logically and match the prescribed character was much better, but all answers were in simple chat or story generation (visible in If you're in the mood for exploring new models, you might want to try the new Tiefighter 13B model, which is comparable if not better than Mythomax for me. Note that this is chat mode, not instruct mode, even though it might look like an instruct template. Before, I used the GGUF version in Koboldcpp and was happy with it, but now I wanna use the EXL2 version in Kobold. New Collab J-6B model rocks my socks off and is on-par with AID, the multiple-responses thing makes it 10x better. 1 GB/s (24GB) Also keep in mind both M40 and P40 don't have active coolers. Valheim View community ranking In the Top 10% of largest communities on Reddit. Posted by u/seraphine0913 - No votes and no comments A very special thanks to our team over in the Discord General - KoboldAI Design, especially One-Some, LightSaveUs, and GuiAworld, for all your help making the UI not look terrible, coding up themes, bug fixes, and new features. It relies on the GPTQ version of MythoMax, and takes heavy advantage of ExLlama_HF to get both that speed and context length within the constraints of Colab's free A place to discuss the SillyTavern fork of TavernAI. Discussion for the The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives. Growth - month over month growth in stars. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will Occam's KoboldAI, or Koboldcpp for ggml Reply reply Jenniher • Gpt4all Supports Exllama and llama. Running on two 12GB cards will be half the speed of running on a single 24GB card of the same GPU generation. So, it will certainly be useful to divide the memory between VRAM. Here's a little batch program I made to easily run Kobold with GPU offloading: @echo off echo Enter the number of GPU layers to offload set /p layers= echo Running koboldcpp. io, in a Pytorch 2. Create an image. Go to KoboldAI r/KoboldAI. They were training GPT3 before GPT2 was released. and even with full context and reprocessing of the entire prompt (exllama doesn’t have context shifting unfortunately) prompt processing still only takes about 15/s, with similar t/s. Activity is a relative number indicating how actively a project is being developed. The most robust would either be the 30B or one linked by the guy with numbers for a username. Right. I tested the exllama 0. 🔥 ️🔥 using ExLlama? This repo assumes you already have a local instance of SillyTavern up and running, and is just a simple set of Jupyter notebooks written to load KoboldAI and SillyTavern-Extras Server on Runpod. Go to KoboldAI r/KoboldAI • by stxrshipscorb. Also known as koboldai. cpp backends Reply reply YearZero We are Reddit's primary hub for all things modding, from troubleshooting for beginners to creation of mods by experts. Note: Reddit is dying due to terrible leadership from CEO /u/spez. Or check it out in the app stores (I am estimating this, but its usually close to the exllama speed and the speed of other llamacpp based solutions). View community ranking In the Top 10% of largest communities on Reddit. The issue is that I can't use my GPU because it is AMD, I'm mostly running off 32GB of ram which I thought would handle it but I guess VRAM is far more powerful. I haven't tested which takes less ressources exactly. since your running the program, KoboldAI, on your local computer and venus is a hosted website not related to your computer, you'll need to create a link to the open internet that venus can access. To reproduce, use this prompt: ### Instruction: Generate a html image element for an example png. Or check it out in the app stores   you should be able to use oobabooga textgeneration webui with a 4bit 13B EXL2 model and the exllama 2 loader, with the 8bit cache option checked. 1 70B GPTQ model with oobabooga text-generation-webui and exllama (koboldAI’s exllama implementation should offer similar level of performance), on a system with an A6000 (similar performance to a 3090) with 48GB VRAM, a 16 core CPU (likely an AMD 5995WX at 2. 0 coins. Currently, I have ROCm downloaded, and drivers too. GPTQ-For-Llama (I also count Occam's GPTQ fork here as its named inside KoboldAI), This one does not support Exllama and its the regular GPTQ implementation using GPTQ models. Now, im not the biggest fan of subscriptions nor do I got money for it, unfortunately. We're now read-only indefinitely due KoboldAI is originally a program for AI story writing, text adventures and chatting but we decided to create an API for our software so other software developers had an easy solution for their UI's and websites. Enter llamacpp-for-kobold This is self contained distributable powered by llama. Premium Powerups Explore Gaming. But does it mean that it can do exllama quantisation with continuous batching? Reply reply Ah, thanks, sorry Reddit hides other comments by default in some clients/profile settings. exe --useclblast 0 0 --gpulayers %layers% --stream --smartcontext pause --nul Is this your first time running LLMs locally? if yes i suggest using the 0cc4m/KoboldAI or oobabooga instead, and focus on GPTQ models considering your 4090. Yes the model is 175Billion parameters. We ask that you please take a minute to read through the rules and check out the So here it is, after exllama, GPTQ and SuperHOT stole GGML the show for a while, finally there's a new koboldcpp version with: /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt The 970 will have about 4 times the performance of that CPU (worst-case scenario, assuming it's a 9900K). Lets start with KoboldAI Lite itself, Lite is the interface that we ship across every KoboldAI product but its not yet in the official KoboldAI version. The llama. 7B. Check out the sidebar for intro guides. Help with low VRAM Usage . the newest one is exllama. Set max_seq_len to a number greater than 2048. It's all about memory capacity and memory bandwidth. Oobabooga UI - functionality and long replies. How to setup is described step-by-step in this guide that I published last weekenk. It's now going to download the model and start it Now things will diverge a bit between Koboldcpp and KoboldAI. It's obviously a work in progress but it's a fantastic project and wicked fast 👍 Because the user-oriented side is straight python is much easier to script and you can just read the code to understand what's going on. Just started using the Exllama 2 version of Noromaid-mixtral-8x7b in Oobabooga and was blown away by the speed. View community ranking In the Top 5% of largest communities on Reddit. 1 Template, on a system with a 48GB GPU, like an A6000 (or just 24GB, like a 3090 or 4090, if you are not going to run the SillyTavern-Extras Server) with Pygmalion 7B is the model that was trained on C. Exllama V2 has dropped! github. Get the Reddit app Scan this QR code to download the app now. The article is from 2020, but a 175 billion parameter model doesn't get created over night. llama. get reddit premium. but they began using it because they wanted 4-bit or exllama before it was done. See r Discussion for the KoboldAI story generation client. Or check it out in the app stores Discussion for the KoboldAI story generation client. If you want to use EXL2 then for now it's usable with Oobabooga. Immutable fedora won't work, amdgpu-install need /opt access This subreddit has gone Restricted and reference-only as part of a mass protest against Reddit's recent API changes, which break third-party apps and moderation I use KoboldAI with a 33B wizardLM-uncensored-SuperCOT-storytelling model and get 300 token max replies with 2048 context in about 20 seconds. ) Go to https://cloud. If successful Thank you Henk, this is very informative. M40: 288. The Law School Admission Test (LSAT) is the test required to get into an ABA law school. A mix of different types and genres, story, adventure and chat, were created I've started tinkering around with KoboldAI but I keep having an issue where responses take a long time to come through (roughly 2-3 minutes). So here's a brand new release and a few backdated changelogs! Changelog of KoboldAI Lite 9 Mar 2023: Added a new feature - Quick Play Scenarios! Created 11 brand new ORIGINAL scenario prompts for use in KoboldAI. Stars - the number of stars that a project has on A simple one-file way to run various GGML and GGUF models with KoboldAI's UI (by LostRuins) koboldcpp llamacpp llm. Good Morning Sound Machine - Magic Ensemble 01: PLUCKS v1. You may also have heard of KoboldAI (and KoboldAI Lite), full featured text writing clients for autoregressive LLMs. Quantized model is 4bit , isn't it? I used GPTQ with model backend Exllama. KoboldAI doesn't use that to my knowledge, I actually doubt you can run a modern model with it Ever since latitude gutted Ai Dungeon I have been on the lookout for some alternatives, two stick out to Me, NovelAi and KoboldAi. 5 for Kontakt upvotes r/SideProject. This will run PS with the KoboldAI folder as the default directory. What? And why? I’m a little annoyed with the recent Oobabooga update doesn’t feel as easy going as before loads of here are settings guess what they do. 7B) The problem is that we're having in particular trouble with the multiplayer feature of kobold because the "transformers" library needs to be explicitly loaded Exllama easily enables 33B GPTQ models to load and inference on 24GB GPUs now. 3) Gain easy Reddit Karma. But when I type messages into SillyTavern, I get no responses. Let's say you're running a 28-layer 6B model using 16-bit inference/32-bit cpu. We're going to have to wait for somebody to modify exllama to use fp32 11K subscribers in the KoboldAI community. Koboldcpp has a static seed function in its KoboldAI Lite UI, so set a static seed and the message says you're out of memory. If you can fully fit the model in your VRAM its worth looking in to the Occam GPTQ side instead since it will perform better (Soon to be in United). When I finally got text-generation-webui and ExLlama to work, it would spit Tavern, KoboldAI and Oobabooga are a UI for Pygmalion that takes what it spits out and turns it into a bot's replies. 0. To do that, click on the AI button in the KoboldAI browser window and now select the Chat Models Option, in which you should find all PygmalionAI Models. By default the KoboldAI Lite interface will launch in a notepad style mode meant for story writing so I do want to leave a small response to this to make sure people don't overlook the other options it has. cpp - LLM inference in C/C++ text-generation-webui - A Gradio web UI for Large Language Models with support for multiple inference backends. Firstly, you need to get a token. Exllamav2 backend still doesn't support multi gpu Discussion for the KoboldAI story generation client. the two best model backends are llama. py Aside from those, there is a way to use InferKit which is a remote model- however, this one is a little hard to wrangle quality-wise. If multiple of us host instances for popular models frequently it should help others be able to enjoy KoboldAI even if I ran the old version in exllama, I guess I should try it in v2 as well. Is ExLlama supported? I've tried to install ExLlama and use it through KoboldAI but it doesn't seem to work. Log In / Sign Up; Advertise on Reddit; Shop Collectible Avatars; Maybe you saw that you need to put KoboldAI token to use it in Janitor. It's meant to be lightweight and fast, with minimal dependencies while still supporting a wide range of Llama-like models with various prompt formats and showcasing some of the features of ExLlama. Other APIs work such as Moe and KoboldAI Horde, but KoboldAI isn't working. Go to KoboldAI r/KoboldAI • by Advanced-Ad-1972. I don't intend for it to have feature parity with the heavier frameworks like text-generation-webui or Kobold, though I will be adding more features A place to discuss the SillyTavern fork of TavernAI. Internet Culture (Viral) You can run it through text-generation-webui, or through either KoboldAI or SillyTavern through the text-generation-webui API. Using about 11GB VRAM. If you want to use GPTQ models, you could try KoboldAI or Oobabooga apps. There was no adventure mode, no scripting, no softprompts and you could not split the model between different GPU's. I’ve recently got a RTX 3090, and I decided to run Llama 2 7b 8bit. 5ghz boost), and 62GB of ram. is 64 gigs of DDR4 ram and a 3090 fast enough to get 30b models to run? I run 34b no prob with gptq models (using exllama loader) but I think the new gguf models can get even more stuffed in the hardware Reply The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives. You know, local hosted AI works great if you know what prompts to send it this is only a 13b Unless it's been changed, 4bit didn't work for me on standard koboldai. Now, I've expanded it to support more models and formats. The jump in clarity from 13B models is immediately noticeable. Source Code. Exllama_HF loads this in with 18GB VRAM. dev explains this using pygmalion 4bit Use this link for a step by step Docs. When you import a character card into KoboldAI Lite it automatically populates the right fields, so you can see in which style it has Thanks nice looked like some of those modules got downloaded 50k times so i guess it's pretty popular. com) I get like double tok/s Get an ad-free experience with special benefits, and directly support Reddit. The work done by all involved is just incredible, hats off to the Ooba, Llama and Exllama coders. Is there any way to A place to discuss the SillyTavern fork of TavernAI. downloaded a promt-generator model earlier, and it worked fine at first, but then KoboldAI downloaded it again within the UI (I had downloaded it manually and put it in the models folder) AI Dungeon's do action expects you to type take the sword while in KoboldAI we expect you to write it like a sentence describing who does what, for example You take the sword this will help the AI to understand who does what and gives you better control over the other characters (Where AI Dungeon automatically adds the word You in the This is a browser-based front-end for AI-assisted writing with multiple local & remote AI models. Much better backend and model support allowing us to properly support all the new ones including Llama, Mistral, etc. KoboldAI's accelerate based approach will use shared vram for the layers you offload to the CPU, it doesn't actually execute on the CPU and it will be swapping things back and forth but in a more optimized way than the driver does it when you overload. Stars - the number of stars that a project has on GitHub. Edit details. For this, you will only need a credit card or crypto, and a computer. cpp with all layers offloaded to GPU). cpp and runs a local HTTP server, allowing it to be However, It's possible exllama could still run it as dependencies are different. It can be use for 13B Novice Guide: Step By Step How To Fully Setup KoboldAI Locally To Run On An AMD GPU With Linux This guide should be mostly fool-proof if you follow it step by step. We're now read-only indefinitely due to Reddit Incorporated's poor management and decisions related to third party platforms and A place to discuss the SillyTavern fork of TavernAI. Changing outputs to other languagues is the trivial part for sure. Using Kobold on Linux (AMD rx 6600) Hi there, first time user here. Then type in cmd to get into command prompt and then type aiserver. 6-Chose a model. When you load the model through the KoboldAI United interface using the Exllama backend, you'll see 2 slider input layers for each GPU because Kaggle has T4x2 GPUs. exe with %layers% GPU layers koboldcpp. Since both have OK speeds (exllama was much faster but both were fast enough) I would recommend the GGML. KoboldAI i think uses openCL backend already (or so i think), so ROCm doesn't really affect that. (I also run my own custom chat front-end, so all I really need is an API. They all seemed to require AutoGPTQ, and that is pretty darn slow. cpp, but there are so many other projects: Serge, MLC LLM, exllama, etc. but since it was experimental it is no longer being used in the KoboldAI Horde. I'll manually approve the thread if u/RossAscends wants to copy and paste it into a new thread. A few weeks ago I used a experimental horde model that was really nice and I was obsessed with it. 5 Plugin (with the 4Bit Build as you wrote above) but I've tried to install ExLlama and use it through KoboldAI but it doesn't seem to work. cpp and runs a local HTTP server, allowing it to be Locally hosted KoboldAI, I placed it on my server to read chat and talk to people: Nico AI immediately just owns this dude. For days no I've been trying to connect kobold no matter what technique I try I still get fail to load does anyone no know where I'm going wrong Try the "Legacy GPTQ" or "ExLlama" model backend. I have run into a problem running the AI. Just pick it in the drop down menu when you choose a GPTQ model. This will determine the pre-installed software on the machine, and we need python stuff. The best way of running modern models is using KoboldCPP for GGML, or ExLLaMA as your backend for GPTQ models. I have an RTX 2060 super 8gb by the way. 7ghz base clock and 4. cpp Docs. You'll need either 24GB VRAM (like an RTX 3090 or 4090) to run it on GPU This is my first time posting something like this to Reddit, pardon the formatting. I heard you can download all Kobold stuff but I usually use Google Collab (https: Why is KoboldAI running so slow? Trying to use with TavernAI and it always times out before generating a response. I've just updated the Oobabooga WebUI and I've loaded a model using ExLlama; the speed increase Both backend software and the models themselves evolved a lot since November 2022, and KoboldAI-Client appears to be abandoned ever since. Let's begin: Website link. vast. If you are loading a 4 bit GPTQ model in hugginface transformer or AutoGPTQ, unless you specify otherwise, you will be using the exllama kernel, but not the other optimizations from exllama. Suggest alternative. Reply reply more reply More replies Of course the model was tested in the KoboldAI Lite UI which has better protections against this kind of stuff so if you use a UI that doesn't filter Running a 3090 and 2700x, I tried the GPTQ-4bit-32g-actorder_True version of a model (Exllama) and the ggmlv3. 5-Now we need to set Pygmalion AI up in KoboldAI. 4 users here now. What you want to do is exactly what I'm doing, since my own GPU also isn't very good. After reading this I deleted KoboldAI completely, also the temporary drive. most recently updated is a 4bit quantized version of the 13B model (which would require 0cc4m's fork of KoboldAI, I think. I use Oobabooga nowadays). 168. I'm also curious about the speed of the 30B models on offloading. Post any questions you have, there are lots of KoboldAI is now over 1 year old, and a lot of progress has been done since release, only one year ago the biggest you could use was 2. I'm new to this & don't know how anything works /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the site Multiple backend API connectivity (KoboldAI, KoboldCPP, AI Horde, NovelAI, Oobabooga's TextGen WebUI, OpenAI+proxies, Poe. But I can't get KoboldAI to work at all. Airoboros 33b, GPT4-X-Alpaca 30B, and the 30/33b Wizard varriants are all good choices to run on a 4090/3090 After spending the first several days systematically trying to hone in the best settings for the 4bit GPTQ version of this model with exllama (and the previous several weeks for other L2 models) and never settling in on consistently high quality/coherent/smart (ie keeping up with multiple characters, locations, etc. We are Reddit's primary hub for all things modding, from troubleshooting for beginners The bullet-point of KoboldAI API Deprecation is also slightly misleading, they still support our API but its now simultaniously loaded with the OpenAI API. I have downloaded and installed kobald on my PC but now I want to use models, but I have no idea how to download the models from huggingface. cpp is written in C++ and runs the models on cpu/ram only so its very small and optimized and can run decent sized models pretty fast (not as fast as on a gpu) and requires some conversion done to the models before they can be run. All models using Exllama HF and Mirostat preset, 5-10 trials for each model, chosen based on subjective judgement, focusing on length and details. It seems Ooba is pulling forward in term of advanced features, for example it has a new ExLlama loader that makes LLaMA models take even less memory. The whole reason I went for KoboldAI is because apparently it can be used offline. GGML, Exllama, offloading, different sized contexts (2k, 4k, 8-16K) etc. 17 votes, 35 comments. I've seen a Synthia 70B model on hugging face and it seemed like the one on horde. The length that you will be able to reach will depend on the model size and KoboldAI. It will inheret some NSFW stuff from its base model and it has softer NSFW training still within it. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation I can tell you that, when using Oobabooga, I haven't seen a q8 of a GPTQ that could load in ExLlama or ExLlamav2. Basically as the title states. I'm new to Koboldai and have been playing around with different GPU/TPU models on colab. GPTQ and EXL2 are meant to be used with GPU. First of all, this is something one should be able to do: When I start koboldai united, I can see that Exllama V2 is listed as one of the back ends available. Any insights would be greatly appreciated. A place to discuss the SillyTavern fork of TavernAI. github. Now we need to set up the image. Have you changed the backend with the flag --model_backend 'Legacy GPTQ' or 'Exllama'? This subreddit has gone Restricted and reference-only as part of a mass protest against Reddit's recent API changes, which break third-party apps and moderation tools. Supposedly I could be getting much faster replies with oobabooga text gen web ui (it uses exllama), and larger context models, but I just haven’t had time mess with all that. About koboldcpp, GPTQ, and GGML (novice doubts) /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and Which loader are you using? exllama is considerably faster than other loaders for me /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the site. either use a smaller model, a more efficient loader (oobabooga webui can load 13b models just fine on 12gb vram if you use exllama), or you could buy a gpu with more vram A prompt from koboldai includes original prompt triggered world info memory authors notes, pre packaged in square brackets the tail end of your story so far, as much as fits in the 2000 token budget /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and Wow, this is very exciting and it was implemented so fast! If this information is useful to anyone else, you can actually avoid having to download/upload the whole model tar by selecting "share" on the remote google drive file of the model, sharing it to your own google account, and then going into your gdrive and selecting to copy the shared file to your own gdrive. I had to use occ4m's koboldai fork. Keep in mind you are sending data to other peoples KoboldAI when you use this so if privacy is a big concern try to keep that in mind. r/SideProject Left AID and KoboldAI is quickly killin' it, I love it. **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. TYSM! The official unofficial subreddit for Elite Dangerous, we even have devs lurking the sub! Elite Dangerous brings gaming’s original open world adventure to the modern generation with a stunning recreation of the entire Milky Way galaxy. 7B models (with reasonable speeds and 6B at a snail's pace), it's always to be expected that they don't function as well (coherent) as newer, more robust models. A lot of it ultimately rests on your setup, specifically the model you run and your actual settings for it. /r/pathoftitans is the official Path of Titans reddit A place to discuss the SillyTavern fork of TavernAI. ) while also avoiding repetition issues and avoiding the thesaurus You may also have heard of KoboldAI (and KoboldAI Lite), full featured text writing clients for autoregressive LLMs. when I said two or more characters it is the amount of characters a character card have, not group and for group. It does have an in-development "fiction" mode, but they don't currently allow third party programs to make use of different writing 13b ooba: 26 t/s 13b exllama: 50 t/s 33b ooba: 18 t/s 33b exllama: 26 t/s. Or check it out in the app stores Transformers, llama. The KoboldCpp FAQ and Knowledgebase I gave it a shot, I'm getting about 1 token per second on a 65B 4q model with decent consumer-level hardware. What I'm having a hard time figuring out is if I'm still SOTA with running text-generation-webui and exllama_hf. The speed was ok on both (13b) and the quality was much better on the "6 bit" GGML. Here is a link. This is self contained distributable powered by Using standard Exllama loader, my 3090 _barely_ loads this in with max_seq_len set to 4096 and compress_pos_emb set to 2. nwih xlmz sdpfjf pqo zvsr lixexxczl fjtw cbbm bjpcy glnnj