Just using the MacBook Pro as an example of a common modern high-end laptop. Obviously, this isn't possible because OpenAI doesn't allow GPT to be run locally but I'm just wondering what sort of computational power would be required if it were possible. Currently, GPT-4 takes a few seconds to respond using the API.See full list on developer.nvidia.com Jul 16, 2023 · Open the created folder in VS Code: Go to the File menu in the VS Code interface and select “Open Folder”. Choose your newly created folder (“ChatGPT_Local”) and click “Select Folder”. Open a terminal in VS Code: Go to the View menu and select Terminal. This will open a terminal at the bottom of the VS Code interface. You can run a ChatGPT-like AI on your own PC with Alpaca, a chatbot created by Stanford researchers. It supports Windows, macOS, and Linux. You just need at least 8GB of RAM and about 30GB of free storage space. Chatbots are all the rage right now, and everyone wants a piece of the action. Google has Bard, Microsoft has Bing Chat, and OpenAI's ...First of all thremendous work Georgi! I managed to run your project with a small adjustments on: Intel(R) Core(TM) i7-10700T CPU @ 2.00GHz / 16GB as x64 bit app, it takes around 5GB of RAM.First of all thremendous work Georgi! I managed to run your project with a small adjustments on: Intel(R) Core(TM) i7-10700T CPU @ 2.00GHz / 16GB as x64 bit app, it takes around 5GB of RAM.The short answer is "Yes!". It is possible to run Chat GPT Client locally on your own computer. Here's a quick guide that you can use to run Chat GPT locally and that too using Docker Desktop. Let's dive in. Pre-requisite Step 1. Install Docker Desktop Step 2. Enable Kubernetes Step 3. Writing the Dockerfile […]ChatGPT is not open source. It has had two recent popular releases GPT-3.5 and GPT-4. GPT-4 has major improvements over GPT-3.5 and is more accurate in producing responses. ChatGPT does not allow you to view or modify the source code as it is not publicly available. Hence there is a need for the models which are open source and available for free.GPT became closed source after Microsoft bought OpenAI. GPT 1 and 2 are still open source but GPT 3 (GPTchat) is closed. The models are built on the same algorithm and is really just a matter of how much data it was trained off of. In order to try to replicate GPT 3 the open source project GPT-J was forked to try and make a self-hostable open ...You can run a ChatGPT-like AI on your own PC with Alpaca, a chatbot created by Stanford researchers. It supports Windows, macOS, and Linux. You just need at least 8GB of RAM and about 30GB of free storage space. Chatbots are all the rage right now, and everyone wants a piece of the action. Google has Bard, Microsoft has Bing Chat, and OpenAI's ...Background Running ChatGPT (GPT-3) locally, you must bear in mind that it requires a significant amount of GPU and video RAM, is almost impossible for the average consumer to manage. In the rare instance that you do have the necessary processing power or video RAM available, you may be ableJul 3, 2023 · You can run a ChatGPT-like AI on your own PC with Alpaca, a chatbot created by Stanford researchers. It supports Windows, macOS, and Linux. You just need at least 8GB of RAM and about 30GB of free storage space. Chatbots are all the rage right now, and everyone wants a piece of the action. Google has Bard, Microsoft has Bing Chat, and OpenAI's ... You can now run GPT locally on your macbook with GPT4All, a new 7B LLM based on LLaMa. ... data and code to train an assistant-style large language model with ~800k ...Dec 28, 2022 · Yes, you can install ChatGPT locally on your machine. ChatGPT is a variant of the GPT-3 (Generative Pre-trained Transformer 3) language model, which was developed by OpenAI. It is designed to… Auto-GPT is an autonomous GPT-4 experiment. The good news is that it is open-source, and everyone can use it. In this article, we describe what Auto-GPT is and how you can install it locally on ...Is it possible/legal to run gpt2 and 3 locally? Hi everyone. I mean the question in multiple ways. First, is it feasible for an average gaming PC to store and run (inference only) the model locally (without accessing a server) at a reasonable speed, and would it require an Nvidia card?Jul 20, 2020 · GPT-3 A Hitchhiker's Guide. Michael Balaban. July 20, 2020 10 min read. The goal of this post is to guide your thinking on GPT-3. This post will: Give you a glance into how the A.I. research community is thinking about GPT-3. Provide short summaries of the best technical write-ups on GPT-3. Provide a list of the best video explanations of GPT-3. GPT3 has many sizes. The largest 175B model you will not be able to run on consumer hardware anywhere in the near to mid distanced future. The smallest GPT3 model is GPT Ada, at 2.7B parameters. Relatively recently, an open-source version of GPT Ada has been released and can be run on consumer hardwaref (though high end), its called GPT Neo 2.7B.In this video, I will demonstrate how you can utilize the Dalai library to operate advanced large language models on your personal computer. You heard it rig...The first task was to generate a short poem about the game Team Fortress 2. As you can see on the image above, both Gpt4All with the Wizard v1.1 model loaded, and ChatGPT with gpt-3.5-turbo did reasonably well. Let’s move on! The second test task – Gpt4All – Wizard v1.1 – Bubble sort algorithm Python code generation.Jun 9, 2022 · Try this yourself: (1) set up the docker image, (2) disconnect from internet, (3) launch the docker image. You will see that It will not work locally. Seriously, if you think it is so easy, try it. It does not work. Here is how it works (if somebody to follow your instructions) : first you build a docker image, Apr 23, 2023 · Auto-GPT is an autonomous GPT-4 experiment. The good news is that it is open-source, and everyone can use it. In this article, we describe what Auto-GPT is and how you can install it locally on ... Jul 17, 2023 · Now that you know how to run GPT-3 locally, you can explore its limitless potential. While the idea of running GPT-3 locally may seem daunting, it can be done with a few keystrokes and commands. With the right hardware and software setup, you can unleash the power of GPT-3 on your local data sources and applications, from chatbots to content ... It is a GPT-2-like causal language model trained on the Pile dataset. This model was contributed by Stella Biderman. Tips: To load GPT-J in float32 one would need at least 2x model size CPU RAM: 1x for initial weights and another 1x to load the checkpoint. So for GPT-J it would take at least 48GB of CPU RAM to just load the model.GitHub - PromtEngineer/localGPT: Chat with your documents on ...An anonymous reader quotes a report from Ars Technica: On Friday, a software developer named Georgi Gerganov created a tool called "llama.cpp" that can run Meta's new GPT-3-class AI large language model, LLaMA, locally on a Mac laptop. Soon thereafter, people worked out how to run LLaMA on Windows as well.It will be on ML, and currently I’ve found GPT-J (and GPT-3, but that’s not the topic) really fascinating. I’m trying to move the text generation in my local computer, but my ML experience is really basic with classifiers and I’m having issues trying to run GPT-J 6B model on local. This might also be caused due to my medium-low specs PC ...I am using the python client for GPT 3 search model on my own Jsonlines files. When I run the code on Google Colab Notebook for test purposes, it works fine and returns the search responses. But when I run the code on my local machine (Mac M1) as a web application (running on localhost) using flask for web service functionalities, it gives the ...GPT-3 is an autoregressive transformer model with 175 billion parameters. It uses the same architecture/model as GPT-2, including the modified initialization, pre-normalization, and reversible tokenization, with the exception that GPT-3 uses alternating dense and locally banded sparse attention patterns in the layers of the transformer, similar to the Sparse Transformer.Jun 3, 2020 · The largest GPT-3 model is an order of magnitude larger than the previous record holder, T5-11B. The smallest GPT-3 model is roughly the size of BERT-Base and RoBERTa-Base. All GPT-3 models use the same attention-based architecture as their GPT-2 predecessor. The smallest GPT-3 model (125M) has 12 attention layers, each with 12x 64-dimension ... Now that you know how to run GPT-3 locally, you can explore its limitless potential. While the idea of running GPT-3 locally may seem daunting, it can be done with a few keystrokes and commands. With the right hardware and software setup, you can unleash the power of GPT-3 on your local data sources and applications, from chatbots to content ...You can now run GPT locally on your macbook with GPT4All, a new 7B LLM based on LLaMa. ... data and code to train an assistant-style large language model with ~800k ...Docker command to run image: docker run -p8080:8080 --gpus all --rm -it devforth/gpt-j-6b-gpu. --gpus all passes GPU into docker container, so internal bundled cuda instance will smoothly use it. Though for apu we are using async FastAPI web server, calls to model which generate a text are blocking, so you should not expect parallelism from ...The first task was to generate a short poem about the game Team Fortress 2. As you can see on the image above, both Gpt4All with the Wizard v1.1 model loaded, and ChatGPT with gpt-3.5-turbo did reasonably well. Let’s move on! The second test task – Gpt4All – Wizard v1.1 – Bubble sort algorithm Python code generation.GPT3 has many sizes. The largest 175B model you will not be able to run on consumer hardware anywhere in the near to mid distanced future. The smallest GPT3 model is GPT Ada, at 2.7B parameters. Relatively recently, an open-source version of GPT Ada has been released and can be run on consumer hardwaref (though high end), its called GPT Neo 2.7B.The biggest gpu has 48 GB of vram. I've read that gtp-3 will come in eigth sizes, 125M to 175B parameters. So depending upon which one you run you'll need more or less computing power and memory. For an idea of the size of the smallest, "The smallest GPT-3 model is roughly the size of BERT-Base and RoBERTa-Base."Aug 11, 2020 · by Raoof on Tue Aug 11. Generative Pre-trained Transformer 3, more commonly known as GPT-3, is an autoregressive language model created by OpenAI. It is the largest language model ever created and has been trained on an estimated 45 terabytes of text data, running through 175 billion parameters! The models have utilized a massive amount of data ... See full list on developer.nvidia.com 15 minutes What You Need Desktop computer or laptop At least 4GB of storage space Note, that GPT4All-J is a natural language model that's based on the GPT-J open source language model. It's...On Friday, a software developer named Georgi Gerganov created a tool called "llama.cpp" that can run Meta's new GPT-3-class AI large language model, LLaMA, locally on a Mac laptop. Soon...3. Using HuggingFace in python. You can run GPT-J with the “transformers” python library from huggingface on your computer. Requirements. For inference, the model need approximately 12.1 GB. So to run it on the GPU, you need a NVIDIA card with at least 16GB of VRAM and also at least 16 GB of CPU Ram to load the model.In this video, I will demonstrate how you can utilize the Dalai library to operate advanced large language models on your personal computer. You heard it rig... The project was born in July 2020 as a quest to replicate OpenAI GPT-family models. A group of researchers and engineers decided to give OpenAI a “run for their money” and so the project began. Their ultimate goal is to replicate GPT-3-175B to “break OpenAI-Microsoft monopoly” on transformer-based language models.GitHub - PromtEngineer/localGPT: Chat with your documents on ...Is it possible/legal to run gpt2 and 3 locally? Hi everyone. I mean the question in multiple ways. First, is it feasible for an average gaming PC to store and run (inference only) the model locally (without accessing a server) at a reasonable speed, and would it require an Nvidia card?Here will briefly demonstrate to run GPT4All locally on M1 CPU Mac. Download gpt4all-lora-quantized.bin from the-eye. Clone this repository, navigate to chat, and place the downloaded file there. Simply run the following command for M1 Mac: cd chat;./gpt4all-lora-quantized-OSX-m1. Now, it’s ready to run locally. Please see a few snapshots below:GPT-3 A Hitchhiker's Guide. Michael Balaban. July 20, 2020 10 min read. The goal of this post is to guide your thinking on GPT-3. This post will: Give you a glance into how the A.I. research community is thinking about GPT-3. Provide short summaries of the best technical write-ups on GPT-3. Provide a list of the best video explanations of GPT-3.GPT4All gives you the chance to RUN A GPT-like model on your LOCAL PC. If someone wants to install their very own 'ChatGPT-lite' kinda chatbot, consider trying GPT4All . The code/model is free to download and I was able to setup it up in under 2 minutes (without writing any new code, just click .exe to launch). It's like Alpaca, but better. The three things that could potentially make this possible seem to be. Model distillation Ideally the size of a model could be reduced by a large fraction, such as hugging Dave's distilled gpt-2 which is 30% of the original I believe. Phones progressively will get more RAM, ideally to run a big model like that you'd need a lot of RAM and ...The three things that could potentially make this possible seem to be. Model distillation Ideally the size of a model could be reduced by a large fraction, such as hugging Dave's distilled gpt-2 which is 30% of the original I believe. Phones progressively will get more RAM, ideally to run a big model like that you'd need a lot of RAM and ...Jun 3, 2020 · The largest GPT-3 model is an order of magnitude larger than the previous record holder, T5-11B. The smallest GPT-3 model is roughly the size of BERT-Base and RoBERTa-Base. All GPT-3 models use the same attention-based architecture as their GPT-2 predecessor. The smallest GPT-3 model (125M) has 12 attention layers, each with 12x 64-dimension ... Feb 23, 2023 · How to Run and install the ChatGPT Locally Using a Docker Desktop? ️ Powered By: https://www.outsource2bd.comYes, you can install ChatGPT locally on your mac... At last with current tech, the issue isn't licensing its the amount of computing power required to run and train these models. ChatGPT isn't simple. It's equally huge and requires an immense amount of of GPU power. The barrier isn't licensing, it's that consumer hardware is cannot run these models locally yet. I dont think any model you can run on a single commodity gpu will be on par with gpt-3. Perhaps GPT-J, Opt-{6.7B / 13B} and GPT-Neox20B are the best alternatives. Some might need significant engineering (e.g. deepspeed) to work on limited vramMar 29, 2023 · Even without a dedicated GPU, you can run Alpaca locally. However, the response time will be slow. Apart from that, there are users who have been able to run Alpaca even on a tiny computer like Raspberry Pi 4. So you can infer that the Alpaca language model can very well run on entry-level computers as well. You can run GPT-3, the model that powers chatGPT, on your own computer if you have the necessary hardware and software requirements. However, GPT-3 is a large language model and requires a lot of computational power to run, so it may not be practical for most users to run it on their personal computers.Specifically, we train GPT-3, an autoregressive language model with 175 billion parameters, 10x more than any previous non-sparse language model, and test its performance in the few-shot setting. For all tasks, GPT-3 is applied without any gradient updates or fine-tuning, with tasks and few-shot demonstrations specified purely via text ...Here will briefly demonstrate to run GPT4All locally on M1 CPU Mac. Download gpt4all-lora-quantized.bin from the-eye. Clone this repository, navigate to chat, and place the downloaded file there. Simply run the following command for M1 Mac: cd chat;./gpt4all-lora-quantized-OSX-m1. Now, it’s ready to run locally. Please see a few snapshots below:I have found that for some tasks (especially where a sequence-to-sequence model have advantages), a fine-tuned T5 (or some variant thereof) can beat a zero, few, or even fine-tuned GPT-3 model. It can be suprising what such encoder-decoder models can do with prompt prefixes, and few shot learning and can be a good starting point to play with ... This morning I ran a GPT-3 class language model on my own personal laptop for the first time! AI stuff was weird already. It’s about to get a whole lot weirder. LLaMA. Somewhat surprisingly, language models like GPT-3 that power tools like ChatGPT are a lot larger and more expensive to build and operate than image generation models.On Friday, a software developer named Georgi Gerganov created a tool called "llama.cpp" that can run Meta's new GPT-3-class AI large language model, LLaMA, locally on a Mac laptop. Soon...Feb 23, 2023 · How to Run and install the ChatGPT Locally Using a Docker Desktop? ️ Powered By: https://www.outsource2bd.comYes, you can install ChatGPT locally on your mac... I am using the python client for GPT 3 search model on my own Jsonlines files. When I run the code on Google Colab Notebook for test purposes, it works fine and returns the search responses. But when I run the code on my local machine (Mac M1) as a web application (running on localhost) using flask for web service functionalities, it gives the ...Jul 17, 2023 · Now that you know how to run GPT-3 locally, you can explore its limitless potential. While the idea of running GPT-3 locally may seem daunting, it can be done with a few keystrokes and commands. With the right hardware and software setup, you can unleash the power of GPT-3 on your local data sources and applications, from chatbots to content ... The weights alone take up around 40GB in GPU memory and, due to the tensor parallelism scheme as well as the high memory usage, you will need at minimum 2 GPUs with a total of ~45GB of GPU VRAM to run inference, and significantly more for training. Unfortunately the model is not yet possible to use on a single consumer GPU.You can now run GPT locally on your macbook with GPT4All, a new 7B LLM based on LLaMa. ... data and code to train an assistant-style large language model with ~800k ...GPT-3 Pricing OpenAI's API offers 4 GPT-3 models trained on different numbers of parameters: Ada, Babbage, Curie, and Davinci. OpenAI don't say how many parameters each model contains, but some estimations have been made and it seems that Ada contains more or less 350 million parameters, Babbage contains 1.3 billion parameters, Curie contains 6.7 billion parameters, and Davinci contains 175 ...Feb 16, 2019 · Update June 5th 2020: OpenAI has announced a successor to GPT-2 in a newly published paper. Checkout our GPT-3 model overview. OpenAI recently published a blog post on their GPT-2 language model. This tutorial shows you how to run the text generator code yourself. As stated in their blog post: GPT4All gives you the chance to RUN A GPT-like model on your LOCAL PC. If someone wants to install their very own 'ChatGPT-lite' kinda chatbot, consider trying GPT4All . The code/model is free to download and I was able to setup it up in under 2 minutes (without writing any new code, just click .exe to launch). It's like Alpaca, but better. Jun 24, 2021 · The project was born in July 2020 as a quest to replicate OpenAI GPT-family models. A group of researchers and engineers decided to give OpenAI a “run for their money” and so the project began. Their ultimate goal is to replicate GPT-3-175B to “break OpenAI-Microsoft monopoly” on transformer-based language models. To get started with the GPT-3 you need following things: Preview Environment in Power Platform. Sample Data. The data can be in Dataverse table but I will be using Issue Tracker SharePoint Online list that comes with following sample data. Create a canvas Power App in preview environment and add connection to the Issue tracker list.You can run a ChatGPT-like AI on your own PC with Alpaca, a chatbot created by Stanford researchers. It supports Windows, macOS, and Linux. You just need at least 8GB of RAM and about 30GB of free storage space. Chatbots are all the rage right now, and everyone wants a piece of the action. Google has Bard, Microsoft has Bing Chat, and OpenAI's ...Just using the MacBook Pro as an example of a common modern high-end laptop. Obviously, this isn't possible because OpenAI doesn't allow GPT to be run locally but I'm just wondering what sort of computational power would be required if it were possible. Currently, GPT-4 takes a few seconds to respond using the API. First of all thremendous work Georgi! I managed to run your project with a small adjustments on: Intel(R) Core(TM) i7-10700T CPU @ 2.00GHz / 16GB as x64 bit app, it takes around 5GB of RAM.In this video I will show you that it only takes a few steps (thanks to the dalai library) to run “ChatGPT” on your local computer. ... training the GPT-3 model in 2020 cost about $5,000,000 ...With this announcement, several pretrained checkpoints have been uploaded to HuggingFace, enabling anyone to deploy LLMs locally using GPUs. This post walks you through the process of downloading, optimizing, and deploying a 1.3 billion parameter GPT-3 model using the NeMo framework.3. Using HuggingFace in python. You can run GPT-J with the “transformers” python library from huggingface on your computer. Requirements. For inference, the model need approximately 12.1 GB. So to run it on the GPU, you need a NVIDIA card with at least 16GB of VRAM and also at least 16 GB of CPU Ram to load the model.I find this indeed very usable — again, considering that this was run on a MacBook Pro laptop. While it might not be on GPT-3.5 or even GPT-4 level, it certainly has some magic to it. A word on use considerations. When using GPT4All you should keep the author’s use considerations in mind:Auto-GPT is an autonomous GPT-4 experiment. The good news is that it is open-source, and everyone can use it. In this article, we describe what Auto-GPT is and how you can install it locally on ...Aug 6, 2020 · The biggest gpu has 48 GB of vram. I've read that gtp-3 will come in eigth sizes, 125M to 175B parameters. So depending upon which one you run you'll need more or less computing power and memory. For an idea of the size of the smallest, "The smallest GPT-3 model is roughly the size of BERT-Base and RoBERTa-Base." GPT-3 and ChatGPT contains a compressed version of the complete knowledge of humanity. Stable Diffusion contains much less information than that. You can run some of the smaller variants of GPT-2 and GPT-Neo locally, but the results are not so impressive. Auto-GPT is an autonomous GPT-4 experiment. The good news is that it is open-source, and everyone can use it. In this article, we describe what Auto-GPT is and how you can install it locally on ...11 13 more replies HelpfulTech • 5 mo. ago There are so many GPT chats and other AI that can run locally, just not the OpenAI-ChatGPT model. Keep searching because it's been changing very often and new projects come out often. Some models run on GPU only, but some can use CPU now. Jul 26, 2021 · GPT-J-6B is a new GPT model. At this time, it is the largest GPT model released publicly. Eventually, it will be added to Huggingface, however, as of now, ... Mar 11, 2023 · This morning I ran a GPT-3 class language model on my own personal laptop for the first time! AI stuff was weird already. It’s about to get a whole lot weirder. LLaMA. Somewhat surprisingly, language models like GPT-3 that power tools like ChatGPT are a lot larger and more expensive to build and operate than image generation models. GPT-3 Pricing OpenAI's API offers 4 GPT-3 models trained on different numbers of parameters: Ada, Babbage, Curie, and Davinci. OpenAI don't say how many parameters each model contains, but some estimations have been made and it seems that Ada contains more or less 350 million parameters, Babbage contains 1.3 billion parameters, Curie contains 6.7 billion parameters, and Davinci contains 175 ...
Feb 16, 2022 · Docker command to run image: docker run -p8080:8080 --gpus all --rm -it devforth/gpt-j-6b-gpu. --gpus all passes GPU into docker container, so internal bundled cuda instance will smoothly use it. Though for apu we are using async FastAPI web server, calls to model which generate a text are blocking, so you should not expect parallelism from ... . Why is tonight
Jun 9, 2022 · Try this yourself: (1) set up the docker image, (2) disconnect from internet, (3) launch the docker image. You will see that It will not work locally. Seriously, if you think it is so easy, try it. It does not work. Here is how it works (if somebody to follow your instructions) : first you build a docker image, Feb 16, 2019 · Update June 5th 2020: OpenAI has announced a successor to GPT-2 in a newly published paper. Checkout our GPT-3 model overview. OpenAI recently published a blog post on their GPT-2 language model. This tutorial shows you how to run the text generator code yourself. As stated in their blog post: Docker command to run image: docker run -p8080:8080 --gpus all --rm -it devforth/gpt-j-6b-gpu. --gpus all passes GPU into docker container, so internal bundled cuda instance will smoothly use it. Though for apu we are using async FastAPI web server, calls to model which generate a text are blocking, so you should not expect parallelism from ...It will be on ML, and currently I’ve found GPT-J (and GPT-3, but that’s not the topic) really fascinating. I’m trying to move the text generation in my local computer, but my ML experience is really basic with classifiers and I’m having issues trying to run GPT-J 6B model on local. This might also be caused due to my medium-low specs PC ...Jun 9, 2022 · Try this yourself: (1) set up the docker image, (2) disconnect from internet, (3) launch the docker image. You will see that It will not work locally. Seriously, if you think it is so easy, try it. It does not work. Here is how it works (if somebody to follow your instructions) : first you build a docker image, Specifically, we train GPT-3, an autoregressive language model with 175 billion parameters, 10x more than any previous non-sparse language model, and test its performance in the few-shot setting. For all tasks, GPT-3 is applied without any gradient updates or fine-tuning, with tasks and few-shot demonstrations specified purely via text ...GPT-3 Pricing OpenAI's API offers 4 GPT-3 models trained on different numbers of parameters: Ada, Babbage, Curie, and Davinci. OpenAI don't say how many parameters each model contains, but some estimations have been made and it seems that Ada contains more or less 350 million parameters, Babbage contains 1.3 billion parameters, Curie contains 6.7 billion parameters, and Davinci contains 175 ...Jun 3, 2020 · The largest GPT-3 model is an order of magnitude larger than the previous record holder, T5-11B. The smallest GPT-3 model is roughly the size of BERT-Base and RoBERTa-Base. All GPT-3 models use the same attention-based architecture as their GPT-2 predecessor. The smallest GPT-3 model (125M) has 12 attention layers, each with 12x 64-dimension ... Here's GPT4All, a FREE ChatGPT for your computer! Unleash AI chat capabilities on your local computer with this LLM. In this video, I'll show you how to inst...3. Using HuggingFace in python. You can run GPT-J with the “transformers” python library from huggingface on your computer. Requirements. For inference, the model need approximately 12.1 GB. So to run it on the GPU, you need a NVIDIA card with at least 16GB of VRAM and also at least 16 GB of CPU Ram to load the model.The weights alone take up around 40GB in GPU memory and, due to the tensor parallelism scheme as well as the high memory usage, you will need at minimum 2 GPUs with a total of ~45GB of GPU VRAM to run inference, and significantly more for training. Unfortunately the model is not yet possible to use on a single consumer GPU.GitHub - PromtEngineer/localGPT: Chat with your documents on ... .