GPT4ALL: EASIEST Local Install and Fine-tunning of "ChatGPT" like MODEL
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:
GPT4All: https://github.com/nomic-ai/gpt4all
GPT4All Technical Report: https://tinyurl.com/yj4yj8xe
GPT4All Discord - / discord
Dalai Repository: https://github.com/cocktailpeanut/dalai
Stanford Alpaca Repository: https://tinyurl.com/mr2fdu5z
Alpaca-LoRA Repository: https://github.com/tloen/alpaca-lora
LoRA Paper: https://arxiv.org/pdf/2106.09685v2.pdf
LLaMA Paper: https://arxiv.org/pdf/2302.13971v1.pdf
Llama.cpp Repository: https://github.com/ggerganov/llama.cpp
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]
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#llama #alpaca #gpt4 #openai #chatgpt #gpt4all
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