INFO:Found the following quantized model: models\TheBloke_WizardLM-30B-Uncensored-GPTQ\WizardLM-30B-Uncensored-GPTQ-4bit. 1% of Hermes-2 average GPT4All benchmark score(a single turn benchmark). . The result is an enhanced Llama 13b model that rivals GPT-3. 0. A summary of all mentioned or recommeneded projects: LocalAI, FastChat, gpt4all, text-generation-webui, gpt-discord-bot, and ROCmThe model is currently being uploaded in FP16 format, and there are plans to convert the model to GGML and GPTQ 4bit quantizations. 01 is default, but 0. Click the Model tab. GPT4All is an ecosystem to train and deploy powerful and customized large language models that run locally on consumer grade CPUs. 0. Reload to refresh your session. GPT-4-x-Alpaca-13b-native-4bit-128g, with GPT-4 as the judge! They're put to the test in creativity, objective knowledge, and programming capabilities, with three prompts each this time and the results are much closer than before. 32 GB: 9. Step 2: Now you can type messages or questions to GPT4All in the message pane at the bottom. Links to other models can be found in the index at the bottom. Text below is cut/paste from GPT4All description (I bolded a claim that caught my eye). On Friday, a software developer named Georgi Gerganov created a tool called "llama. You switched accounts on another tab or window. [docs] class GPT4All(LLM): r"""Wrapper around GPT4All language models. Initial release: 2023-03-30. Some popular examples include Dolly, Vicuna, GPT4All, and llama. Under Download custom model or LoRA, enter TheBloke/falcon-40B-instruct-GPTQ. It is a replacement for GGML, which is no longer supported by llama. Once installation is completed, you need to navigate the 'bin' directory within the folder wherein you did installation. Trac. With GPT4All, you have a versatile assistant at your disposal. Slo(if you can't install deepspeed and are running the CPU quantized version). Click the Model tab. cd repositoriesGPTQ-for-LLaMa. document_loaders. Backend and Bindings. Wait until it says it's finished downloading. It totally fails Mathew Berman‘s T-Shirt reasoning test. SuperHOT is a new system that employs RoPE to expand context beyond what was originally possible for a model. For more information check this. In the Model drop-down: choose the model you just downloaded, falcon-7B. What do you think would be easier to get working between vicuna and gpt4x using llama. Once it says it's loaded, click the Text. cpp in the same way as the other ggml models. Benchmark Results│ 746 │ │ from gpt4all_llm import get_model_tokenizer_gpt4all │ │ 747 │ │ model, tokenizer, device = get_model_tokenizer_gpt4all(base_model) │ │ 748 │ │ return model, tokenizer, device │This time, it's Vicuna-13b-GPTQ-4bit-128g vs. 2 toks, so it seems much slower - whether I do 3 or 5bit quantisation. md. After that we will need a Vector Store for our embeddings. alpaca. Using Deepspeed + Accelerate, we use a global batch size of 256 with a learning. LocalDocs is a GPT4All feature that allows you to chat with your local files and data. Stability AI claims that this model is an improvement over the original Vicuna model, but many people have reported the opposite. Click Download. 82 GB: Original llama. The team is also working on a full benchmark, similar to what was done for GPT4-x-Vicuna. It uses the same architecture and is a drop-in replacement for the original LLaMA weights. 16. While GPT-4 offers a powerful ecosystem for open-source chatbots, enabling the development of custom fine-tuned solutions. py:776 and torch. This model was trained on nomic-ai/gpt4all-j-prompt-generations using revision=v1. Wait until it says it's finished downloading. py repl. Runs on GPT4All no issues. bin: q4_0: 4: 7. 1 GPTQ 4bit 128g loads ten times longer and after that generate random strings of letters or do nothing. To do this, I already installed the GPT4All-13B-sn. I am writing a program in Python, I want to connect GPT4ALL so that the program works like a GPT chat, only locally in my programming environment. But I here include Settings image. The zeros and. View . Nous-Hermes-Llama2-13b is a state-of-the-art language model fine-tuned on over 300,000 instructions. It means it is roughly as good as GPT-4 in most of the scenarios. ago. 1, GPT4ALL, wizard-vicuna and wizard-mega and the only 7B model I'm keeping is MPT-7b-storywriter because of its large amount of tokens. bin extension) will no longer work. Hermes-2 and Puffin are now the 1st and 2nd place holders for the average calculated scores with GPT4ALL Bench🔥 Hopefully that information can perhaps help inform your decision and experimentation. Listen to article. 1-GPTQ-4bit-128g. 1 results in slightly better accuracy. Nomic AI. Q: Five T-shirts, take four hours to dry. " So it's definitely worth trying and would be good that gpt4all become capable to. Puffin reaches within 0. TheBloke May 5. The actual test for the problem, should be reproducable every time:Technical Report: GPT4All: Training an Assistant-style Chatbot with Large Scale Data Distillation from GPT-3. The table below lists all the compatible models families and the associated binding repository. . You switched accounts on another tab or window. 8 GB LFS New GGMLv3 format for breaking llama. GPT4All can be used with llama. We’re on a journey to advance and democratize artificial intelligence through open source and open science. Now click the Refresh icon next to Model in the top left. Select the GPT4All app from the list of results. A vast and desolate wasteland, with twisted metal and broken machinery scattered throughout. you can use model. The GPT4-x-Alpaca is a remarkable open-source AI LLM model that operates without censorship, surpassing GPT-4 in performance. . ago. 0 with Other LLMs. In the Model dropdown, choose the model you just downloaded: WizardCoder-15B-1. 7). json. Reload to refresh your session. Image 4 - Contents of the /chat folder. The raw model is also available for download, though it is only compatible with the C++ bindings provided by the. 92 tokens/s, 367 tokens, context 39, seed 1428440408) Output. There are various ways to steer that process. 01 is default, but 0. GPTQ dataset: The dataset used for quantisation. The gptqlora. Sign up for free to join this conversation on GitHub . cpp. So if you generate a model without desc_act, it should in theory be compatible with older GPTQ-for-LLaMa. Supports transformers, GPTQ, AWQ, EXL2, llama. Open the text-generation-webui UI as normal. Every time updates full message history, for chatgpt ap, it must be instead commited to memory for gpt4all-chat history context and sent back to gpt4all-chat in a way that implements the role: system,. 4. Original model card: Eric Hartford's 'uncensored' WizardLM 30B. Supports transformers, GPTQ, AWQ, EXL2, llama. GPT4All is an open-source software ecosystem that allows anyone to train and deploy powerful and customized large language models (LLMs) on everyday hardware . Using GPT4All. Untick Autoload the model. text-generation-webui - A Gradio web UI for Large Language Models. Here's the links, including to their original model in float32: 4bit GPTQ models for GPU inference. Here is a list of models that I have tested. So firstly comat. Prerequisites Before we proceed with the installation process, it is important to have the necessary prerequisites. Demo, data, and code to train open-source assistant-style large language model based on GPT-J. , 2022). Select a model, nous-gpt4-x-vicuna-13b in this case. g. Download the installer by visiting the official GPT4All. Llama 2. 1. The only way to convert a gptq. 04/09/2023: Added Galpaca, GPT-J-6B instruction-tuned on Alpaca-GPT4, GPTQ-for-LLaMA, and List of all Foundation Models 04/11/2023: Added Dolly 2. Wait until it says it's finished downloading. The model boasts 400K GPT-Turbo-3. TheBloke/guanaco-65B-GGML. 0-GPTQ. sudo apt install build-essential python3-venv -y. ai's GPT4All Snoozy 13B merged with Kaio Ken's SuperHOT 8K. ggmlv3. ) CPU mode uses GPT4ALL and LLaMa. 5. 0. Click the Refresh icon next to Model in the top left. According to their documentation, 8 gb ram is the minimum but you should have 16 gb and GPU isn't required but is obviously optimal. 5. Note: Save chats to disk option in GPT4ALL App Applicationtab is irrelevant here and have been tested to not have any effect on how models perform. py:99: UserWarning: TypedStorage is deprecated. Wait until it says it's finished downloading. code-block:: python from langchain. Launch text-generation-webui. Nomic. Hi all i recently found out about GPT4ALL and new to world of LLMs they are doing a good work on making LLM run on CPU is it possible to make them run on GPU as now i have access to it i needed to run them on GPU as i tested on "ggml-model-gpt4all-falcon-q4_0" it is too slow on 16gb RAM so i wanted to run on GPU to make it fast. A GPT4All model is a 3GB - 8GB file that you can download. In the top left, click the refresh icon next to Model. I already tried that with many models, their versions, and they never worked with GPT4all Desktop Application, simply stuck on loading. You can type a custom model name in the Model field, but make sure to rename the model file to the right name, then click the "run" button. GPT4All is an open-source large-language model built upon the foundations laid by ALPACA. It allows to run models locally or on-prem with consumer grade hardware. 04LTS operating system. SimpleProxy allows you to remove restrictions or enhance NSFW content beyond what Kobold and Silly can. my current code for gpt4all: from gpt4all import GPT4All model = GPT4All ("orca-mini-3b. Without doing those steps, the stuff based on the new GPTQ-for-LLama will. Install additional dependencies using: pip install ctransformers [gptq] Load a GPTQ model using: llm = AutoModelForCausalLM. Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. Finetuned from model. Click the Refresh icon next to Model in the top left. Looks like the zeros issue corresponds to a recent commit to GPTQ-for-LLaMa (with a very non-descriptive commit message) which changed the format. 1. The ecosystem features a user-friendly desktop chat client and official bindings for Python, TypeScript, and GoLang, welcoming contributions and collaboration from the open-source community. com) Review: GPT4ALLv2: The Improvements and. 75k • 14. The instruction template mentioned by the original hugging face repo is : Below is an instruction that describes a task. 38. Original model card: Eric Hartford's WizardLM 13B Uncensored. Nomic. Therefore I have uploaded the q6_K and q8_0 files as multi-part ZIP files. bin' is not a valid JSON file. At inference time, thanks to ALiBi, MPT-7B-StoryWriter-65k+ can extrapolate even beyond 65k tokens. </p> </div> <p dir="auto">GPT4All is an ecosystem to run. 13 wizard-lm-uncensored-13b-GPTQ-4bit-128g (using oobabooga/text-generation. Self-hosted, community-driven and local-first. 0-GPTQ. gpt4all - gpt4all: open-source LLM chatbots that you can run anywhere langchain - ⚡ Building applications with LLMs through composability ⚡. cpp here I do not know if there is a simple way to tell if you should download avx, avx2 or avx512, but oldest chip for avx and newest chip for avx512, so pick the one that you think will work with your machine. q4_2 (in GPT4All). The video discusses the gpt4all (Large Language Model, and using it with langchain. So if the installer fails, try to rerun it after you grant it access through your firewall. cpp team have done a ton of work on 4bit quantisation and their new methods q4_2 and q4_3 now beat 4bit GPTQ in this benchmark. In the Model drop-down: choose the model you just downloaded, falcon-40B-instruct-GPTQ. GPT-J, GPT4All-J: gptj: GPT-NeoX, StableLM:. Damp %: A GPTQ parameter that affects how samples are processed for quantisation. 🔥 Our WizardCoder-15B-v1. cpp change May 19th commit 2d5db48 4 months ago; README. Similarly to this, you seem to already prove that the fix for this already in the main dev branch, but not in the production releases/update: #802 (comment) In this video, we review the brand new GPT4All Snoozy model as well as look at some of the new functionality in the GPT4All UI. 5 assistant-style generations, specifically designed for efficient deployment on M1 Macs. I just get the constant spinning icon. GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ alpaca. We will try to get in discussions to get the model included in the GPT4All. This model has been finetuned from LLama 13B. r/LocalLLaMA: Subreddit to discuss about Llama, the large language model created by Meta AI. We train several models finetuned from an inu0002stance of LLaMA 7B (Touvron et al. It is based on llama. Activate the collection with the UI button available. Welcome to the GPT4All technical documentation. The dataset defaults to main which is v1. I use the following:LLM: quantisation, fine tuning. Under Download custom model or LoRA, enter TheBloke/stable-vicuna-13B-GPTQ. Using Deepspeed + Accelerate, we use a global batch size of 256 with a learning. We use LangChain’s PyPDFLoader to load the document and split it into individual pages. I had no idea about any of this. Local generative models with GPT4All and LocalAI. ; 🔥 Our WizardMath-70B. The team is also working on a full benchmark, similar to what was done for GPT4-x-Vicuna. GPT4All runs reasonably well given the circumstances, it takes about 25 seconds to a minute and a half to generate a response,. Click the Refresh icon next to Model in the top left. Koala face-off for my next comparison. 78 gb. Edit: The latest webUI update has incorporated the GPTQ-for-LLaMA changes. // add user codepreak then add codephreak to sudo. q6_K and q8_0 files require expansion from archive Note: HF does not support uploading files larger than 50GB. Settings while testing: can be any. json file from Alpaca model and put it to models; Obtain the gpt4all-lora-quantized. Note that your CPU needs to support AVX or AVX2 instructions. cpp - Locally run an Instruction-Tuned Chat-Style LLMAssistant 2, on the other hand, composed a detailed and engaging travel blog post about a recent trip to Hawaii, highlighting cultural experiences and must-see attractions, which fully addressed the user's request, earning a higher score. GPT4All is an open-source assistant-style large language model that can be installed and run locally from a compatible machine. In the Model dropdown, choose the model you just downloaded: orca_mini_13B-GPTQ. GPT4All-J is the latest GPT4All model based on the GPT-J architecture. 14GB model. Click the Model tab. 4. Add a. bin file from Direct Link or [Torrent-Magnet]. 1-GPTQ-4bit-128g. /models/gpt4all-lora-quantized-ggml. 64 GB:. 3-groovy. It is the result of quantising to 4bit using GPTQ-for-LLaMa. cpp (GGUF), Llama models. . 2). Basically everything in langchain revolves around LLMs, the openai models particularly. It is strongly recommended to use the text-generation-webui one-click-installers unless you know how to make a manual install. The model will start downloading. env to . As a Kobold user, I prefer Cohesive Creativity. Downloaded open assistant 30b / q4 version from hugging face. Gpt4all[1] offers a similar 'simple setup' but with application exe downloads, but is arguably more like open core because the gpt4all makers (nomic?) want to sell you the vector database addon stuff on top. Be sure to set the Instruction Template in the Chat tab to "Alpaca", and on the Parameters tab, set temperature to 1 and top_p to 0. py repl. Using a dataset more appropriate to the model's training can improve quantisation accuracy. That was it's main purpose, to let the llama. bin: q4_K. The chatbot can generate textual information and imitate humans. The intent is to train a WizardLM that doesn't have alignment built-in, so that alignment (of any sort) can be added separately with for example with a RLHF LoRA. com) Review: GPT4ALLv2: The Improvements and Drawbacks You Need to. These models were quantised using hardware kindly provided by Latitude. cpp - Port of Facebook's LLaMA model in C/C++ text-generation-webui - A Gradio web UI for Large Language Models. ggmlv3. If you want to use a different model, you can do so with the -m / --model parameter. As shown in the image below, if GPT-4 is considered as a benchmark with base score of 100, Vicuna model scored 92 which is close to Bard's score of 93. GPTQ is a specific format for GPU only. . Under Download custom model or LoRA, enter TheBloke/falcon-40B-instruct-GPTQ. 0 model achieves the 57. Installation and Setup Install the Python package with pip install pyllamacpp; Download a GPT4All model and place it in your desired directory; Usage GPT4All 开箱即用，选择 gpt4all，有桌面端软件。 注：如果模型参数过大无法加载，可以在 HuggingFace 上寻找其 GPTQ 4-bit 版本，或者 GGML 版本（支持Apple M系列芯片）。 目前30B规模参数模型的 GPTQ 4-bit 量化版本，可以在 24G显存的 3090/4090 显卡上单卡运行推理。 预训练模型 GPT4All is an open-source ecosystem designed to train and deploy powerful, customized large language models that run locally on consumer-grade CPUs. py –learning_rate 0. For full control over AWQ, GPTQ models, one can use an extra --load_gptq and gptq_dict for GPTQ models or an extra --load_awq for AWQ models. Introduction GPT4All, an advanced natural language model, brings the power of GPT-3 to local hardware environments. . vLLM is fast with: State-of-the-art serving throughput; Efficient management of attention key and value memory with PagedAttention; Continuous batching of incoming requestsThe GPT4All ecosystem will now dynamically load the right versions without any intervention! LLMs should *just work*! 2. Language (s) (NLP): English. 1 results in slightly better accuracy. . 25 Project-Baize-v2-13B-GPTQ (using oobabooga/text-generation-webui) 8. GGUF and GGML are file formats used for storing models for inference, particularly in the context of language models like GPT (Generative Pre-trained Transformer). System Info Python 3. Click the Refresh icon next to Model in the top left. Using a dataset more appropriate to the model's training can improve quantisation accuracy. Model Type: A finetuned LLama 13B model on assistant style interaction data. Airoboros-13B-GPTQ-4bit 8. INFO:Found the following quantized model: modelsTheBloke_WizardLM-30B-Uncensored-GPTQWizardLM-30B-Uncensored-GPTQ-4bit. I used the convert-gpt4all-to-ggml. 1. 0 attains the second position in this benchmark, surpassing GPT4 (2023/03/15, 73. To use the GPT4All wrapper, you need to provide the path to the pre-trained model file and the model's configuration. A self-hosted, offline, ChatGPT-like chatbot. Step 3: Rename example. Open up Terminal (or PowerShell on Windows), and navigate to the chat folder: cd gpt4all-main/chat. GPT4All es un potente modelo de código abierto basado en Lama7b, que permite la generación de texto y el entrenamiento personalizado en tus propios datos. GPTQ dataset: The dataset used for quantisation. In this post, I will walk you through the process of setting up Python GPT4All on my Windows PC. This is Unity3d bindings for the gpt4all. We report the ground truth perplexity of our model against what cmhamiche commented Mar 30, 2023. This is WizardLM trained with a subset of the dataset - responses that contained alignment / moralizing were removed. mayaeary/pygmalion-6b_dev-4bit-128g. People will not pay for a restricted model when free, unrestricted alternatives are comparable in quality. The popularity of projects like PrivateGPT, llama. MLC LLM, backed by TVM Unity compiler, deploys Vicuna natively on phones, consumer-class GPUs and web browsers via Vulkan, Metal, CUDA and. GGML is another quantization implementation focused on CPU optimization, particularly for Apple M1 & M2 silicon. GPT4All 2. The team is also working on a full benchmark, similar to what was done for GPT4-x-Vicuna. Training Training Dataset StableVicuna-13B is fine-tuned on a mix of three datasets. Developed by: Nomic AI. Higher accuracy than q4_0 but not as high as q5_0. The response times are relatively high, and the quality of responses do not match OpenAI but none the less, this is an important step in the future inference on. New model: vicuna-13b-GPTQ-4bit-128g (ShareGPT finetuned from LLaMa with 90% of ChatGPT's quality) This just dropped. Source for 30b/q4 Open assistan. Sorry to hear that! Testing using the latest Triton GPTQ-for-LLaMa code in text-generation-webui on an NVidia 4090 I get: act-order. In the Model drop-down: choose the model you just downloaded, stable-vicuna-13B-GPTQ. ; Automatically download the given model to ~/. cpp was super simple, I just use the . , 2022; Dettmers et al. Some GPTQ clients have had issues with models that use Act Order plus Group Size, but this is generally resolved now. bin: invalid model file (bad magic [got 0x67676d66 want 0x67676a74]) you most likely need to regenerate your ggml files the benefit is you'll get 10-100x faster load. Click the Model tab. Some GPTQ clients have had issues with models that use Act Order plus Group Size, but this is generally resolved now. GPT4ALL is a community-driven project and was trained on a massive curated corpus of assistant interactions, including code, stories, depictions, and multi-turn dialogue. GPT4All is an open-source assistant-style large language model that can be installed and run locally from a compatible machine. safetensors" file/model would be awesome!ity in making GPT4All-J and GPT4All-13B-snoozy training possible. (based on GPT4all ) (just learned about it a day or two ago) Thebloke/wizard mega 13b GPTQ (just learned about it today, released. safetensors Done! The server then dies. parameter. 3-groovy. Everything is changing and evolving super fast, so to learn the specifics of local LLMs I think you'll primarily need to get stuck in and just try stuff, ask questions, and experiment. However,. How long does it take to dry 20 T-shirts?How do I get gpt4all, vicuna,gpt x alpaca working? I am not even able to get the ggml cpu only models working either but they work in CLI llama. In the Model drop-down: choose the model you just downloaded, falcon-7B. cpp (GGUF), Llama models. The list is a work in progress where I tried to group them by the Foundation Models where they are: BigScience’s BLOOM;. It's true that GGML is slower. cpp - Locally run an Instruction-Tuned Chat-Style LLMNews. . gpt4all - gpt4all: open-source LLM chatbots that you can run anywhere llama. Under Download custom model or LoRA, enter TheBloke/wizardLM-7B-GPTQ. Step 3: Navigate to the Chat Folder. 🚀 Just launched my latest Medium article on how to bring the magic of AI to your local machine! Learn how to implement GPT4All with Python in this step-by-step guide. 0. io. Demo, data, and code to train open-source assistant-style large language model based on GPT-J. Download prerequisites. GPT-4, which was recently released in March 2023, is one of the most well-known transformer models. I use GPT4ALL and leave everything at default setting except for temperature, which I lower to 0. Download Installer File. 9. 14 GB: 10. cpp - Locally run an Instruction-Tuned Chat-Style LLMAm I the only one that feels like I have to take a Xanax before I do a git pull? I've started working around the version control system by making directory copies: text-generation-webui. GPU Installation (GPTQ Quantised) First, let’s create a virtual environment: conda create -n vicuna python=3. The goal is simple - be the best instruction tuned assistant-style language model that any person or enterprise can freely use, distribute and build on. Llama 2 is Meta AI's open source LLM available both research and commercial use case. ggmlv3. 800000, top_k = 40, top_p = 0. TheBloke Update for Transformers GPTQ support. See moreGPT For All 13B (/GPT4All-13B-snoozy-GPTQ) is Completely Uncensored, a great model. Vicuna is easily the best remaining option, and I've been using both the new vicuna-7B-1. So far I have gpt4all working as well as the alpaca Lora 30b. For example, GGML has a couple approaches like "Q4_0", "Q4_1", "Q4_3". unity. This automatically selects the groovy model and downloads it into the . In the top left, click the refresh icon next to Model. 01 is default, but 0. Step 1: Open the folder where you installed Python by opening the command prompt and typing where python. The intent is to train a WizardLM that doesn't have alignment built-in, so that alignment (of any sort) can be added separately with for. Inspired. cpp - Port of Facebook's LLaMA model in C/C++ text-generation-webui - A Gradio web UI for Large Language Models. 3. 🔥 The following figure shows that our WizardCoder-Python-34B-V1. cpp project has introduced several compatibility breaking quantization methods recently. Runs ggml, gguf, GPTQ, onnx, TF compatible models: llama, llama2, rwkv, whisper, vicuna, koala, cerebras, falcon, dolly, starcoder, and many others api kubernetes bloom ai containers falcon tts api-rest llama alpaca vicuna guanaco gpt-neox llm stable-diffusion rwkv gpt4all examples provide plenty of example scripts to use auto_gptq in different ways. While GPT-4 offers a powerful ecosystem for open-source chatbots, enabling the development of custom fine-tuned solutions. 1 contributor; History: 9 commits. Insert . Some GPTQ clients have had issues with models that use Act Order plus Group Size, but this is generally resolved now. Token stream support. Note: these instructions are likely obsoleted by the GGUF update. Any help or guidance on how to import the "wizard-vicuna-13B-GPTQ-4bit. 015d262 about 2 months ago. 32 GB: 9. In the Model drop-down: choose the model you just downloaded, stable-vicuna-13B-GPTQ. jumperabg • 2 mo. The model is currently being uploaded in FP16 format, and there are plans to convert the model to GGML and GPTQ 4bit quantizations. This guide actually works well for linux too. GPT4All is a user-friendly and privacy-aware LLM (Large Language Model) Interface designed for local use. bin') Simple generation. no-act-order. Enter the following command. Here's the links, including to their original model in float32: 4bit GPTQ models for GPU inference. Using a dataset more appropriate to the model's training can improve quantisation accuracy. Langchain is a tool that allows for flexible use of these LLMs, not an LLM. Click Download. Click the "run" button in the "Click this to start KoboldAI" cell. 协议. Step 2: Once you have opened the Python folder, browse and open the Scripts folder and copy its location. 3 interface modes: default (two columns), notebook, and chat; Multiple model backends: transformers, llama. 2. Under Download custom model or LoRA, enter TheBloke/Wizard-Vicuna-13B-Uncensored-GPTQ. text-generation-webuiI also got it running on Windows 11 with the following hardware: Intel(R) Core(TM) i5-6500 CPU @ 3. Do you know of any github projects that I could replace GPT4All with that uses CPU-based (edit: NOT cpu-based) GPTQ in Python? :robot: The free, Open Source OpenAI alternative.