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. bin file is to use this script and this script is keeping the GPTQ quantization, it's not converting it into a q4_1 quantization. . It is based on llama. cpp library, also created by Georgi Gerganov. 1 GPTQ 4bit 128g loads ten times longer and after that generate random strings of letters or do nothing. 13971 License: cc-by-nc-sa-4. 对本仓库源码的使用遵循开源许可协议 Apache 2. Under Download custom model or LoRA, enter TheBloke/WizardCoder-15B-1. The model boasts 400K GPT-Turbo-3. wizardLM-7B. cpp, gpt4all, rwkv. Note that the GPTQ dataset is not the same as the dataset. [deleted] • 6 mo. md. Reload to refresh your session. Then, download the latest release of llama. As discussed earlier, GPT4All is an ecosystem used to train and deploy LLMs locally on your computer, which is an incredible feat! Typically, loading a standard 25-30GB LLM would take 32GB RAM and an enterprise-grade GPU. Download the 3B, 7B, or 13B model from Hugging Face. 5-turbo，长回复、低幻觉率和缺乏OpenAI审查机制的优点。. So firstly comat. Select a model, nous-gpt4-x-vicuna-13b in this case. pyllamacpp-convert-gpt4all path/to/gpt4all_model. This repo will be archived and set to read-only. I've also run ggml on T4 and got 2. Click Download. 0. A vast and desolate wasteland, with twisted metal and broken machinery scattered throughout. ioma8 commented on Jul 19. Under Download custom model or LoRA, enter this repo name: TheBloke/stable-vicuna-13B-GPTQ. 95. Language (s) (NLP): English. GPT4All is made possible by our compute partner Paperspace. Supports transformers, GPTQ, AWQ, EXL2, llama. Nice. It allows you to. Standard. Click the Model tab. Here, max_tokens sets an upper limit, i. Its upgraded tokenization code now fully ac. INFO:Found the following quantized model: models\TheBloke_WizardLM-30B-Uncensored-GPTQ\WizardLM-30B-Uncensored-GPTQ-4bit. This automatically selects the groovy model and downloads it into the . There are many bindings and UI that make it easy to try local LLMs, like GPT4All, Oobabooga, LM Studio, etc. In an effort to ensure cross-operating-system and cross-language compatibility, the GPT4All software ecosystem is organized as a monorepo with the following structure:. - This model was fine-tuned by Nous Research, with Teknium and Karan4D leading the fine tuning process and dataset curation, Redmond Al sponsoring the compute, and several other contributors. Text Generation • Updated Sep 22 • 5. The actual test for the problem, should be reproducable every time:. 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. Unlike the widely known ChatGPT, GPT4All operates on local systems and offers the flexibility of usage along with potential performance variations based on the hardware’s capabilities. cpp specs:. Developed by: Nomic AI. Copy to Drive Connect. We've moved Python bindings with the main gpt4all repo. This will: Instantiate GPT4All, which is the primary public API to your large language model (LLM). pyllamacpp-convert-gpt4all path/to/gpt4all_model. 100% private, with no data leaving your device. GPT4All provides an accessible, open-source alternative to large-scale AI models like GPT-3. md","path":"doc/TODO. Installation and Setup# Install the Python package with pip install pyllamacpp. This is self. 6. Step 1: Load the PDF Document. 3 interface modes: default (two columns), notebook, and chat; Multiple model backends: transformers, llama. This is Unity3d bindings for the gpt4all. Tutorial link for koboldcpp. Click the Model tab. 0. cpp in the same way as the other ggml models. Click the Model tab. Damp %: A GPTQ parameter that affects how samples are processed for quantisation. 💡 Technical Report: GPT4All: Training an Assistant-style Chatbot with Large Scale Data Distillation from GPT-3. 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. ggmlv3. GitHub: nomic-ai/gpt4all: gpt4all: an ecosystem of open-source chatbots trained on a massive collections of clean assistant data including code, stories and dialogue (github. Eric Hartford's Wizard-Vicuna-13B-Uncensored GGML These files are GGML format model files for Eric Hartford's Wizard-Vicuna-13B-Uncensored. Resources. text-generation-webui - A Gradio web UI for Large Language Models. LLaVA-MPT adds vision understanding to MPT,; GGML optimizes MPT on Apple Silicon and CPUs, and; GPT4All lets you run a GPT4-like chatbot on your laptop using MPT as a backend model. Just don't bother with the powershell envs. 1 13B and is completely uncensored, which is great. GPTQ. The mood is tense and foreboding, with a sense of danger lurking around every corner. GPT-4, which was recently released in March 2023, is one of the most well-known transformer models. GPT4All-13B-snoozy. 3 was fully install. 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. Wait until it says it's finished downloading. pt is suppose to be the latest model but I don't know how to run it with anything I have so far. • 6 mo. Feature request Is there a way to put the Wizard-Vicuna-30B-Uncensored-GGML to work with gpt4all? Motivation I'm very curious to try this model Your contribution I'm very curious to try this model. 8 in Hermes-Llama1;GPT4All is an open-source chatbot developed by Nomic AI Team that has been trained on a massive dataset of GPT-4 prompts, providing users with an accessible and easy-to-use tool for diverse applications. Vicuna-13b-GPTQ-4bit-128g works like a charm and I love it. TheBloke's Patreon page. Llama 2. I've recently switched to KoboldCPP + SillyTavern. GPT For All 13B (/GPT4All-13B-snoozy-GPTQ) is Completely Uncensored, a great model. To download from a specific branch, enter for example TheBloke/wizardLM-7B-GPTQ:gptq-4bit-32g-actorder_True. Feature request Is there a way to put the Wizard-Vicuna-30B-Uncensored-GGML to work with gpt4all? Motivation I'm very curious to try this model Your contribution I'm very curious to try this model. Enter the following command. Settings I've found work well: temp = 0. text-generation-webuiI also got it running on Windows 11 with the following hardware: Intel(R) Core(TM) i5-6500 CPU @ 3. GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ alpaca. I asked it: You can insult me. ; Through model. The change is not actually specific to Alpaca, but the alpaca-native-GPTQ weights published online were apparently produced with a later version of GPTQ-for-LLaMa. 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. What is wrong? I have got 3060 with 12GB. cpp - Locally run an Instruction-Tuned Chat-Style LLMYou signed in with another tab or window. Click the Model tab. 67. 82 GB: Original llama. 9b-deduped model is able to load and use installed both cuda 12. To download a specific version, you can pass an argument to the keyword revision in load_dataset: from datasets import load_dataset jazzy = load_dataset ("nomic-ai/gpt4all-j. llms. [3 times the same warning for files storage. I haven't looked at the APIs to see if they're compatible but was hoping someone here may have taken a peek. On the other hand, GPT4all is an open-source project that can be run on a local machine. Then the new 5bit methods q5_0 and q5_1 are even better than that. 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. These models are trained on large amounts of text and can generate high-quality responses to user prompts. "GPT4All 7B quantized 4-bit weights (ggml q4_0) 2023-03-31 torrent magnet. Ctrl+M B. bin') Simple generation. cpp. Nomic AI supports and maintains this software ecosystem to enforce quality and security alongside spearheading the effort to allow any person or enterprise to easily train and deploy their own on-edge large language models. 2. New Update: For 4-bit usage, a recent update to GPTQ-for-LLaMA has made it necessary to change to a previous commit when using certain models like those. 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. We’re on a journey to advance and democratize artificial intelligence through open source and open science. 3 Evaluation We perform a preliminary evaluation of our model using thehuman evaluation datafrom the Self-Instruct paper (Wang et al. The most common formats available now are pytorch, GGML (for CPU+GPU inference), GPTQ (for GPU inference), and ONNX models. GPT4ALL . GPU. GPT4All is trained on a massive dataset of text and code, and it can generate text, translate languages, write different. You signed out in another tab or window. Between GPT4All and GPT4All-J, we have spent about $800 in Ope-nAI API credits so far to generate the training samples that we openly release to the community. [deleted] • 7 mo. You can edit "default. Nice. Note: This is an experimental feature and only LLaMA models are supported using ExLlama. New: Code Llama support! - GitHub - getumbrel/llama-gpt: A self-hosted, offline, ChatGPT-like chatbot. . Download and install the installer from the GPT4All website . like 661. We will try to get in discussions to get the model included in the GPT4All. ipynb_ File . The Bloke’s WizardLM-7B-uncensored-GPTQ These files are GPTQ 4bit model files for Eric Hartford’s ‘uncensored’ version of WizardLM . Callbacks support token-wise streaming model = GPT4All (model = ". GPT4All can be used with llama. Using a dataset more appropriate to the model's training can improve quantisation accuracy. The model that launched a frenzy in open-source instruct-finetuned models, LLaMA is Meta AI's more parameter-efficient, open alternative to large commercial LLMs. GPT4All is an open-source software ecosystem that allows anyone to train and deploy powerful and customized large language models (LLMs) on everyday hardware . 2. Yes. 4. 5. 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. 82 GB: Original llama. The result is an enhanced Llama 13b model that rivals GPT-3. Original model card: Eric Hartford's WizardLM 13B Uncensored. Some GPTQ clients have had issues with models that use Act Order plus Group Size, but this is generally resolved now. 1. The project is trained on a massive curated collection of written texts, which include assistant interactions, code, stories, descriptions, and multi-turn dialogues 💬 ( source ). If it can’t do the task then you’re building it wrong, if GPT# can do it. This free-to-use interface operates without the need for a GPU or an internet connection, making it highly accessible. Obtain the tokenizer. 4. Open the text-generation-webui UI as normal. , 2021) on the 437,605 post-processed examples for four epochs. Tutorial link for koboldcpp. For AWQ, GPTQ, we try the required safe tensors or other options, and by default use transformers's GPTQ unless one specifies --use_autogptq=True. A gradio web UI for running Large Language Models like LLaMA, llama. sudo usermod -aG. ; Now MosaicML, the. The sequence of steps, referring to Workflow of the QnA with GPT4All, is to load our pdf files, make them into chunks. no-act-order. You signed in with another tab or window. I tried it 3 times and the answer was always wrong. GPT4All is an open-source assistant-style large language model that can be installed and run locally from a compatible machine. 0. Our released model, GPT4All-J, can be trained in about eight hours on a Paperspace DGX A100 8xUnder Download custom model or LoRA, enter TheBloke/orca_mini_13B-GPTQ. gpt4all - gpt4all: open-source LLM chatbots that you can run anywhere langchain - ⚡ Building applications with LLMs through composability ⚡. 3-groovy. Downloads last month 0. To download from a specific branch, enter for example TheBloke/OpenOrcaxOpenChat-Preview2-13B-GPTQ:main. Click Download. Runtime . The simplest way to start the CLI is: python app. This model does more 'hallucination' than the original model. However when I run. Some popular examples include Dolly, Vicuna, GPT4All, and llama. but computer is almost 6 years old and no GPU! Computer specs : HP all in one, single core, 32 GIGs ram. py:776 and torch. 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. Step 1: Search for "GPT4All" in the Windows search bar. cpp (GGUF), Llama models. 2-jazzy') Homepage: gpt4all. Trained on a DGX cluster with 8 A100 80GB GPUs for ~12 hours. To download from a specific branch, enter for example TheBloke/Wizard-Vicuna-13B-Uncensored-GPTQ:latest. GGUF is a new format introduced by the llama. 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. They pushed that to HF recently so I've done my usual and made GPTQs and GGMLs. cpp. cpp team on August 21st 2023. Training Procedure. Note that the GPTQ dataset is not the same as the dataset. The model is currently being uploaded in FP16 format, and there are plans to convert the model to GGML and GPTQ 4bit quantizations. Vicuna quantized to 4bit. Initial release: 2023-03-30. 0 attains the second position in this benchmark, surpassing GPT4 (2023/03/15, 73. For models larger than 13B, we recommend adjusting the learning rate: python gptqlora. Under Download custom model or LoRA, enter TheBloke/OpenOrcaxOpenChat-Preview2-13B-GPTQ. json file from Alpaca model and put it to models; Obtain the gpt4all-lora-quantized. 1-GPTQ-4bit-128g. Under Download custom model or LoRA, enter TheBloke/WizardLM-13B-V1-1-SuperHOT-8K-GPTQ. q8_0. There is a recent research paper GPTQ published, which proposed accurate post-training quantization for GPT models with lower bit precision. The model will start downloading. 01 is default, but 0. To download from a specific branch, enter for example TheBloke/Wizard-Vicuna-30B. Damp %: A GPTQ parameter that affects how samples are processed for quantisation. WizardLM - uncensored: An Instruction-following LLM Using Evol-Instruct These files are GPTQ 4bit model files for Eric Hartford's 'uncensored' version of WizardLM. ago. Once it's finished it will say "Done". code-block:: python from langchain. bin. FastChat supports AWQ 4bit inference with mit-han-lab/llm-awq. cpp - Locally run an Instruction-Tuned Chat-Style LLMNews. Note: This is an experimental feature and only LLaMA models are supported using ExLlama. There are various ways to steer that process. Note that the GPTQ dataset is not the same as the dataset. Models; Datasets; Spaces; DocsWhich is the best alternative to text-generation-webui? Based on common mentions it is: Llama. 32 GB: 9. See moreGPT For All 13B (/GPT4All-13B-snoozy-GPTQ) is Completely Uncensored, a great model. cpp quant method, 4-bit. " So it's definitely worth trying and would be good that gpt4all become capable to. Tutorial link for llama. Wait until it says it's finished downloading. sudo adduser codephreak. It is able to output. Under Download custom model or LoRA, enter TheBloke/Wizard-Vicuna-30B-Uncensored-GPTQ. 0 trained with 78k evolved code instructions. To use, you should have the ``pyllamacpp`` python package installed, the pre-trained model file, and the model's config information. Finetuned from model. In the Model drop. cpp, performs significantly faster than the current version of llama. However, any GPT4All-J compatible model can be used. 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. bin", n_ctx = 512, n_threads = 8)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. , on your laptop). 模型介绍160K下载量重点是，昨晚有个群友尝试把chinese-alpaca-13b的lora和Nous-Hermes-13b融合在一起，成功了，模型的中文能力得到. Congrats, it's installed. LangChain has integrations with many open-source LLMs that can be run locally. 10 -m llama. The team is also working on a full benchmark, similar to what was done for GPT4-x-Vicuna. Under Download custom model or LoRA, enter TheBloke/GPT4All-13B-snoozy-GPTQ. cpp Did a conversion from GPTQ with groupsize 128 to the latest ggml format for llama. Click the Model tab. In the Model dropdown, choose the model you just downloaded. Next, we will install the web interface that will allow us. 0 Model card Files Community Train Deploy Use in Transformers Edit model card text-generation-webui StableVicuna-13B-GPTQ This repo. Wait until it says it's finished downloading. gpt4all: an ecosystem of open-source chatbots trained on a massive collections of clean assistant data including code, stories and dialogue - GitHub - mikekidder/nomic-ai_gpt4all: gpt4all: an ecosystem of open-source chatbots trained on a massive collections of clean assistant data including code, stories and dialogueVictoralm commented on Jun 1. Learn how to easily install the powerful GPT4ALL large language model on your computer with this step-by-step video guide. 4bit and 5bit GGML models for GPU. 01 is default, but 0. gpt4all - gpt4all: open-source LLM chatbots that you can run anywhere llama. At inference time, thanks to ALiBi, MPT-7B-StoryWriter-65k+ can extrapolate even beyond 65k tokens. How to get oobabooga/text-generation-webui running on Windows or Linux with LLaMa-30b 4bit mode via GPTQ-for-LLaMa on an RTX 3090 start to finish. q4_0. Contribution. bin: q4_0: 4: 7. The first time you run this, it will download the model and store it locally on your computer in the following directory: ~/. The AI model was trained on 800k GPT-3. Here's how to get started with the CPU quantized GPT4All model checkpoint: Download the gpt4all-lora-quantized. AI Providers GPT4All GPT4All Official website GPT4All is an open-source ecosystem designed to train and deploy powerful, customized large language models. I have a project that embeds oogabooga through it's openAI extension to a whatsapp web instance. Under Download custom model or LoRA, enter TheBloke/vicuna-13B-1. 31 mpt-7b-chat (in GPT4All) 8. 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. py code is a starting point for finetuning and inference on various datasets. 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. GPT4All runs reasonably well given the circumstances, it takes about 25 seconds to a minute and a half to generate a response,. 🔥 Our WizardCoder-15B-v1. First Get the gpt4all model. Download Installer File. , 2022; Dettmers et al. License: GPL. GPTQ dataset: The dataset used for quantisation. UnicodeDecodeError: 'utf-8' codec can't decode byte 0x80 in position 24: invalid start byte OSError: It looks like the config file at 'C:\Users\Windows\AI\gpt4all\chat\gpt4all-lora-unfiltered-quantized. ,2022). Install additional dependencies using: pip install ctransformers[gptq] Load a GPTQ model using: llm = AutoModelForCausalLM. 🔥 [08/11/2023] We release WizardMath Models. People will not pay for a restricted model when free, unrestricted alternatives are comparable in quality. Stability AI claims that this model is an improvement over the original Vicuna model, but many people have reported the opposite. bat file to add the. This model was trained on nomic-ai/gpt4all-j-prompt-generations using revision=v1. GPT4All benchmark average is now 70. py repl. GGUF boasts extensibility and future-proofing through enhanced metadata storage. generate(. Under Download custom model or LoRA, enter TheBloke/gpt4-x-vicuna-13B-GPTQ. Slo(if you can't install deepspeed and are running the CPU quantized version). The first time you run this, it will download the model and store it locally on your computer in the following directory: ~/. GPT4All is an open-source chatbot developed by Nomic AI Team that has been trained on a massive dataset of GPT-4 prompts, providing users with an accessible and easy-to-use tool for diverse applications. The team is also working on a full benchmark, similar to what was done for GPT4-x-Vicuna. bin file from GPT4All model and put it to models/gpt4all-7BIf you want to use any model that's trained using the new training arguments --true-sequential and --act-order (this includes the newly trained Vicuna models based on the uncensored ShareGPT data), you will need to update as per this section of Oobabooga's Spell Book: . The official example notebooks/scripts; My own modified scripts. 015d262 about 2 months ago. sh. Self-hosted, community-driven and local-first. conda activate vicuna. GPT4All-13B-snoozy. GPTQ dataset: The dataset used for quantisation. These files are GPTQ model files for Young Geng's Koala 13B. py repl. New comments cannot be posted. The model will start downloading. <p>We introduce Vicuna-13B, an open-source chatbot trained by fine-tuning LLaMA on user. 🔥 We released WizardCoder-15B-v1. I use GPT4ALL and leave everything at default setting except for temperature, which I lower to 0. safetensors" file/model would be awesome! ity in making GPT4All-J and GPT4All-13B-snoozy training possible. Nomic. Click Download. The model will start downloading. /models/gpt4all-lora-quantized-ggml. 0, StackLLaMA, and GPT4All-J 04/17/2023: Added. Simply install the CLI tool, and you're prepared to explore the fascinating world of large language models directly from your command line! cli llama gpt4all gpt4all-ts. StarCoder in 2023 by cost, reviews, features, integrations, deployment, target market, support options, trial offers, training options, years in business, region, and more using the chart below. 0. GPTQ, AWQ, EXL2, llama. (For more information, see low-memory mode. Basic command for finetuning a baseline model on the Alpaca dataset: python gptqlora. Information. env and edit the environment variables: MODEL_TYPE: Specify either LlamaCpp or GPT4All. When comparing GPTQ-for-LLaMa and llama. This is a breaking change that renders all previous. 9. Introduction. 3-groovy. 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. 0. jpg","path":"doc. Our released model, GPT4All-J, can be trained in about eight hours on a Paperspace DGX A100 8x Under Download custom model or LoRA, enter TheBloke/orca_mini_13B-GPTQ. ago. 1 results in slightly better accuracy. You switched accounts on another tab or window. SuperHOT is a new system that employs RoPE to expand context beyond what was originally possible for a model. Learn more about TeamsGPT4All seems to do a great job at running models like Nous-Hermes-13b and I'd love to try SillyTavern's prompt controls aimed at that local model. /models. 4bit and 5bit GGML models for GPU. SimpleProxy allows you to remove restrictions or enhance NSFW content beyond what Kobold and Silly can. Once it's finished it will say "Done". 4. UPD: found the answer, gptq can only run them on nvidia gpus, llama. 1. Launch text-generation-webui. As this is a GPTQ model, fill in the GPTQ parameters on the right: Bits = 4, Groupsize = 128, model_type = Llama. . It has since been succeeded by Llama 2. . By following this step-by-step guide, you can start harnessing the. Viewer • Updated Apr 13 •. , 2022). 0 with Other LLMs. bin') GPT4All-J model; from pygpt4all import GPT4All_J model = GPT4All_J ('path/to/ggml-gpt4all-j-v1. 01 is default, but 0. 0. my current code for gpt4all: from gpt4all import GPT4All model = GPT4All ("orca-mini-3b. We are fine-tuning that model with a set of Q&A-style prompts (instruction tuning) using a much smaller dataset than the initial one, and the outcome, GPT4All, is a much more capable Q&A-style chatbot. cpp (GGUF), Llama models. The installation flow is pretty straightforward and faster. Clone this repository, navigate to chat, and place the downloaded file there. In the Model dropdown, choose the model you just downloaded: WizardCoder-15B-1. 4bit GPTQ model available for anyone interested. Damp %: A GPTQ parameter that affects how samples are processed for quantisation. cpp, GPT-J, Pythia, OPT, and GALACTICA. Trained on 1T tokens, the developers state that MPT-7B matches the performance of LLaMA while also being open source, while MPT-30B outperforms the original GPT-3. bin is much more accurate. Example: . GPTQ-for-LLaMa is an extremely chaotic project that's already branched off into four separate versions, plus the one for T5. I'm using Nomics recent GPT4AllFalcon on a M2 Mac Air with 8 gb of memory. Auto-GPT PowerShell project, it is for windows, and is now designed to use offline, and online GPTs. Click the Refresh icon next to Model in the top left. com) Review: GPT4ALLv2: The Improvements and Drawbacks You Need to. GGML files are for CPU + GPU inference using llama. Wait until it says it's finished downloading. Baichuan-7B 支持商用。如果将 Baichuan-7B 模型或其衍生品用作商业用途. GPTQ scores well and used to be better than q4_0 GGML, but recently the llama. With GPT4All, you have a versatile assistant at your disposal. Note that the GPTQ dataset is not the same as the dataset. You switched accounts on another tab or window. cache/gpt4all/ folder of your home directory, if not already present. it loads, but takes about 30 seconds per token. This is WizardLM trained with a subset of the dataset - responses that contained alignment / moralizing were removed.