GPT4ALL: EASIEST Local Install and Fine-tunning of 'ChatGPT' like MODEL

preview_player
Показать описание
Learn how to easily install the powerful GPT4ALL large language model on your computer with this step-by-step video guide. Created by the experts at Nomic AI, this open-source LLM is trained using the same technique as Alpaca, with over 800k GPT-3.5-Turbo Generations based on LLaMa. In my opinion, GPT4ALL works even better than Alpaca and runs super fast. With this model, it's like having ChatGPT on your local computer! Plus, Nomic AI has generously included the weights in addition to the quantized model, making it even more accessible. Don't miss out on this game-changing language model and watch the video now.

Links:

Timestamps:
What is GPT4ALL: [0:00]
Technical Report Overview: [0:40]
Training Dataset: [1:30]
Downloading the code: [3:45]
LoRa Llama 7B model weights: [4:30]
Running the model in Inference model: [5:20]
Running the model in Inference model in WSL: [6:50]
Testing the GPT4All model: [10:00]
Training and fine-tunning the GPT4All model: [14:00]

#llama #alpaca #gpt4 #openai #chatgpt #gpt4all
Рекомендации по теме
Комментарии
Автор

I love the fact that gpt4all is basically portable. I can put everything on a usb drive and run it everywhere on any pc.

ludovicoprestipino
Автор

just dowloaded this model, it's really good. now they changed the way you run it. it is now in run in powershell.

adamstewarton
Автор

After Alpaca was released, there are several models were released that are based on LLAMA 7b trained with LoRa. The training is done by ChatGPT output. All these Alpaca-like (including GPT4ALL) local models are not as great as ChatGPT at all. I'd say, not even close. When I tried GPT4ALL, the outputs were not reproducible and also sub par. I asked "Come up with an interesting idea for a new movie plot" the response was "Alice in Wonderland is about Alice, who falls down into a rabbit hole where she meets the White Rabbit". I had similar experience with Alpaca as well. They sound like they copy paste information for a source. They are more like "completing" rather than "conversing". I think we need one or more tricks to add so that we can have ChatGPT like models running locally.

AlperYilmaz
Автор

It would also be nice to see videos not only of the code part, but like me there are many, to see videos on the practical part with the webUI console. Like explain training mode or notebook mode with inputs from agent oobonga etc

SAVONASOTTERRANEASEGRETA
Автор

thansk for sharing the knowledge, can you please do a video on how to train GPT4all with local PDF doc? Is it possible?

weituo
Автор

Thanks for the video.
Was wondering if you could make a video on how to train the model step by step? Showing how it's done and what does the training date look like or how the training date is made?
Really appreciate your videos thanks

slavicstriz
Автор

When I give it lots of text information in the prompt for it to analyze for some reason it keeps replying to itself over and over.

themicrowavenetwork
Автор

so the one problem that i noticed that you said was a problem on windows 11 is that it looked like you were using cmd prompt but you should be using power shell.

earlpfau
Автор

how big is the context window for gpt4all? (compared to chatGPT's 4k tokens)

baldgamedev
Автор

About finetuning: What if I have less examples (like 500) will i be able to finetuning for a lower cost and with consumer hardware/machine?

giadavolpin
Автор

But how to run this graphic ui?! I am specifically interested in Alpaca + Vicuna!

Misiulo
Автор

It looks like the error at 6:15 is because the directory slash is going the wrong way. On windows it's backslash, unix is forward slash

MattJonesYT
Автор

How fast is gpt4all to query? For me it takes usually 2 minutes and the response is shit. What's your experience?

CSniper
Автор

Thank you. Currently is version 2.7.3 available. And I use LLM "EM German Mistral".
But somehow I can't extend or train GPT4ALL with new data. Also I'm looking for the posibitly to use GPT4ALL to work with my study script and I can learn via a chat. GPT4ALL should simulate a teacher. ;-) Also it's not possible that GPT4ALL can use the internet for new data and information.
Is there a possibility to use Python with GPT4ALL to search information in the internet?

aketo
Автор

Can we add it to the server and run the .exe file im client? so that weight files process inside the servrr and give response to the client? is thag possible?

akki_the_tecki
Автор

@Prompt Engineering. How to train this model locallY. Not much information it is carrying in finetune.yaml, smehow i managed it. But now issue is what should be the "dataset_path:" field value. So that i can pick the data or is there any way to use the existing data and and accordingly put value in this field.

ajaykumar-muuz
Автор

Hi what's wrong using the windows installer on the main site and once run select the LLM internally it takes a few minutes ?

photize
Автор

So far a big issue I have with it, is when I ask it to create code or what nodes I need to create a blueprint in unreal engine, it will get stuck in a loop of printing the same response over and over.

SkullModder
Автор

why fine tune a custom LLM with strict QA format if you can create a custom vector db w prompt templates and agents? can you help answer?

RedCloudServices
Автор

Can i use it in my code in order to comment my input and output data? Also can i put the output it gets in my code api?

geraltofrivia