Oobabooga model settings. Reload to refresh your session.
● Oobabooga model settings I found out, that "pygmalion" models are suited for that. Then you copy or write a piece of text that would precede what you want. I use the exl2 4. In What are the best generation parameter presets for different tasks? I haven't tried them all very thoroughly, but I've found that NovelAI-Storywriter works well for stories, and llama-precise Detailed Overview of the Model Tab in Oobabooga Text Generation Web UI. Simple-1 is a The “Big O” preset in OobaBooga Web UI offers a highly reliable and consistent parameter configuration for running open-source LLMs. To be honest I am pretty out of my depth when it comes to setting up an AI. Extensive testing has shown that this preset significantly enhances the model’s performance and intelligence, particularly when handling math problems and logic-based challenge ‘Mirostat Tau’ and ‘Mirostat eta’ can be adjusted to change the behavior of the model (similar to how changing temperature effects its behavior) but I’ve found the settings Set up a private unfiltered uncensored local AI roleplay assistant in 5 minutes, on an average spec system. You have to select the one you want. Parameters, and a few other settings are as important as a model to get a good result. The command line says, INFO:Loading settings from settings. I have a loose grasp of some of the basics, but it seems that Official subreddit for oobabooga/text-generation-webui, a Gradio web UI for Large Language Models. So, is there a guide to learn all of the basics, and learn how to configure both oobabooga, and Silly Tavern + specific configurations for the different NSFW RP Models? Change -c 2048 to the desired sequence length for this model. System: AMD Ryzen 9 5900X 12-Core RTX 3060 TI 8gbs VRAM 128 gbs system RAM Current model/settings; Meta-Llama-3-8B-Instruct-bf16-correct-pre-tokenizer-and-EOS-token-Q4_K_M llama. Im a total Noob and im trying to use Oobabooga and SillyTavern as Frontent. You switched accounts on another tab or window. It’s way easier than it used to be! Sounds good enough? Then read on! In this quick guide I’ll show you exactly how to Contains parameters that control the text generation. GPU layers is how much of the model is loaded onto your GPU, which results in responses being generated much faster. go to train tab - enter a clever name. On the Parameters tab there's a "Generation parameters preset" drop-down that was set to a different one. Discussion What are the best model and settings for a local and immersive text generation experience that actually stays in context and is smart and uncensored? Text to speech would be a plus Spinning up an Oobabooga Pod and basic functionality. The Model tab in the Oobabooga Text Generation Web UI is essential for managing and fine-tuning pre-trained models. Reload to refresh your session. Log In / Sign Up; Advertise on Reddit; Shop Collectible Avatars; in oobabooga wiki there is section for lora training but the skinny (what I do) Load LLAMA 7b_HF model using load in 8-bit. So I want to start with the role play models. TensorRT-LLM, AutoGPTQ, It kinda depends on what exactly you want it to be like but seeing as how you're looking for uncensored, I'll just suggest Nemomix Unleashed. The actual token generation is done after that. ) and quantization size (4bit, 6bit, 8bit) etc. wbits: For ancient models without proper metadata, sets the model precision in bits manually. They are trained on more or less any text. This section explains how to Its goal is to become the AUTOMATIC1111/stable-diffusion-webui of text generation. Describe the bug. thats because the chat settings that has been set needs to stay in the context, the beginning of the chat needs to be deleted in between to accommodate for the new tokens. Reply reply More replies More replies More replies. triton: Only available on Linux. The "settings" are the values in the input fields (checkboxes, sliders, dropdowns) Don't mess with the settings at all until you compare several models with default settings. cpp, and ExLlamaV2. Can usually be ignored. py, but I can't seem to get it to load in chat mode, load a model, or extensions. Members Online mannabro1 Looking for a convenient guide to Oobabooga, models, and basics of AI in general . 1) pip install einops; updated webui. Given your prompt, the model calculates the probabilities for every possible next token. Setting Up in Oobabooga: On the session tab check the box for the training pro extension. Here you can select a model to be loaded, refresh the list of available models (🔄), load/unload/reload the selected model, and save the settings for the model. update_windows. The benefit of GGUF is you don't have to check the model card to get all the settings to set it up like you would a GPTQ. py run command to this run_cmd("python server. Select your model. If not, wich Models would you propose @ wich settings? My PC: Win11 ASUS TUF Gaming GeForce RTX 4080 16GB OC Edition Intel® Core™ i9-13900K Corsair VENGEANCE RGB DDR5 RAM 64GB I made a quick experiment where I asked a set of 3 Python and 3 Javascript questions (real world, difficult questions with nuance) to the following models: This one; A second variant generated with model_path1 and model_path2 swapped in the YAML above, which I called CodeBooga-Reversed-34B-v0. For Pygmalion 6B you can download the 4bit quantized model from Huggingface, add the argument --wbits 4 and remove --gpu_memory. I found out, that a "character" can/should be created to use it. json in my webui. Welcome to our community of Modes & Routines with Routines +! Feel free to post and comment on your routines, suggestions, queries etc. Base models are not trained on any prompt format, or for chats. Getting started with Pygmalion and Oobabooga on Runpod is incredibly easy. So 3 epochs instead of the 2 that's default on the colab and unlike the suggested cutoff length of 256 on the colab, I went even higher than the Select these files in your sampler settings (the icon with 3 sliders), your context settings, and your prompt format (the icon with the letter A). You can set the correct prompt template in the settings of oobabooga. For reference It's the "config-user. Delete or remove it and ooba defaults back to its original mystery settings which are for me at least, much faster. 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. As the name suggests, it's based on The slow generation is because you are splitting the model between GPU and CPU. (200 tokens in default settings) Remember, use the full-sized model, not a quantized version. Dolphin Mistral is good for newbies. Members Online • Sweet_Baby_Moses I trained with the same settings as the initial alpaca paper. Modes & Routines is a service for automatically changing your device features and settings according I understand that there are different models available, roughly three categories, as I understood it: chat, instructions and role play. bat 2. 0bpw version with exllama2. You won't easily get anything useful out of it. Reply reply. You absolutely do not need a high powered pod to start a new world. 13K subscribers in the Oobabooga community. The next time I load this particular model without the command line flag, ooba seems to remember how many layers I want to offload to GPU. I'm trying to determine the best model and settings for said model that my system is capable of. If you want to experiment with other more expansive models (like KoboldAI Erebus) you may need a pod with Official subreddit for oobabooga/text-generation-webui, a Gradio web UI for Large Language Models. groupsize: For ancient models without proper metadata, sets the model group size manually. Then gracefully ignore all the data, except Epochs which I would increase Official subreddit for oobabooga/text-generation-webui, a Gradio web UI for Large Language Models. yaml" in the model folders that keep the settings. You'll want any model in the 7b or lower range quantized ~q4 or q5 into a GGUF format. It seems impossible to update the path (or add new paths) for Oobabooga to load models from. Sure, it depends on your CPU and RAM config, but if you have some monster CPU setting, then you have also already a monster graphic card. py --listen --api --auto-devices --settings settings. You signed out in another tab or window. It's the lazy man's grab and go, You could still manually change stuff I guess but it should be picking the right stuff I have my settings. Official subreddit for oobabooga/text-generation-webui, a Gradio web UI for Large Language Models. For models that use RoPE, add --rope-freq-base 10000 --rope-freq-scale 0. In case you don't know, OpenHermes 2. I just Installed Oobabooga, but for the love of Me, I can't understand 90% of the configuration settings such as the layers, context input, etc, etc. Mixtral is insanely sensitive to not just the content of your prompts, but to the formatting, down to new lines and BOS tokens, and these will take the guesswork out of it, or at the very least Official subreddit for oobabooga/text-generation-webui, a Gradio web UI for Large Language Models. 0; Phind-CodeLlama-34B-v2 The way I got it to work is to not use the command line flag, loaded the model, go to web UI and change it to the layers I want, save the setting for the model in web UI, then exit everything. As a result, a user would have multiple copies of the same model on their machine which takes up a lot of Official subreddit for oobabooga/text-generation-webui, a Gradio web UI for Large Language Models. Hi, all. Something like a 3090 will do just fine. The best way what i found is to look at the model card, how much ram it needs and download the gptq variants who fits in my vram. json file in the root and launching with python server. Mythomax can be run with 8k context and a compression setting of 2, but I’m not sure if it will fit in 12GB of VRAM, and it does make the model give perceptibly worse responses, but 4k context may be enough for you depending on the length of model folder is by default ". Necessary to use models with both act-order and groupsize simultaneously. So I like to invite the community to share your Loads: GPTQ models. Use the button to restart Ooba with the extension loaded. And here is my first hole I have to fill. 5 uses ChatML. py --model-menu --notebook --model mosaicml_mpt-7b-storywriter --trust-remote-code"); when I prompted it to write some stuff, both times it started out coherent, then started devolving into madness, A community to discuss about large language models for roleplay and writing and the PygmalionAI project - an open-source conversational language model. yaml to look like: TheBloke_stable-vicuna-13B-GPTQ: auto_devices: false bf16: false cpu: false cpu_memory: 0 disk: false gpu_memory_0: 0 groupsize: 128 load_in_8bit: false model You signed in with another tab or window. cpp n-gpu-layers - 45 n_ctx - 8192 threads - 12 Official subreddit for oobabooga/text-generation-webui, a Gradio web UI for Large Language Models. Okay I figured it out. After launching Oobabooga with the training pro extension enabled, navigate to the models page. 'Save settings for this model' That will update your config-user. This section explains how to load models, apply LoRAs, and download new models, providing comprehensive configuration options tailored to various model Expand user menu Open settings menu. My goal is to use a (uncensored) model for long and deep conversations to use in DND. LLMs work by generating one token at a time. Go to oobabooga_windows folder and open cmd_windows. Your best bet is to think about in what context, the output you want to get, would exist. The context window is fixed during the training of an autoregressive Language Model, which means that the model is trained to use a specific number of previous words in the input sequence to predict the next word. 6B and 7B models running in 4bit are generally small enough to fit in 8GB VRAM The "context window" refers to the number of previous words in the input sequence that the model uses to predict the next word. json, and if I change simple values (such as truncation_length or chat_prompt_size I use oobabooga UI as it's the most comfortable for me and lets me test models before deploying them elsewhere (ie. bat; cmd_windows. 25 for 4x context. Don't know if I'm understanding how GGML models work wrong or I'm missing some setting. For example, -c 4096 for a Llama 2 model. bat; Use this guide GPU offloading to rebuild your llama files! (The visual studio comes in at this point^ If you don't have the complier installed it wont be able to build it) No, it's not the latest model, it just a better UI compared to the official Pygmalion UI, Also fun fact the model that you use in this UI is actually an older model of Pygmalion 6B instead of the current Pygmalion 6B model. /models" can be changed by starting the server with the --model-dir <different path> if you want to run multiple instances of the webui, it is easier to run them from the same folder and adjust the ports I was able to get this working by running. Supports multiple text generation backends in one UI/API, including Transformers, llama. Oobabooga settings for But before you invest some time into this, the GGML models are very slow. 5 for doubled context, or --rope-freq-base 10000 --rope-freq-scale 0. Question Hey there everyone, I have recently downloaded Oobabooga on my PC for various reasons, mainly just for AI roleplay. to company UIs - I'm working on a chatbot connected to a vector db for local document storage and I thought about ooba as a backend for quick loading of models and setting parameters and exposing them via API) however It's Detailed Overview of the Model Tab in Oobabooga Text Generation Web UI. 1; WizardCoder-Python-34B-V1. Best model and settings for immersive text generation . q4ish (bigger q=slower and bigger but more accurate) Mixtral is an option too. ifrlqlyghrcjiteeeaerqpyhyidjppoglcvzersnvswpj