using chatgpt locally, without using api key or user and pwd, step by step

 

how to use freely chatgpt promt and response , without having any user and pasword , unlimited in colab pyton code?

ChatGPT said:

To use ChatGPT-like functionality freely and without login, API keys, or internet, your best option is to use an open-source local model, like the one you’re already using (ggml-gpt4all-j-v1.3-groovy.bin) — not OpenAI's ChatGPT API, which always requires login and key.

---

✅ What You Can Do Freely and Without Login in Colab:

✅ Option 1: Use GPT4All (Offline-capable model)

python
!pip install gpt4all

from gpt4all import GPT4All

model_path = "/content/drive/My Drive/models/ggml-gpt4all-j-v1.3-groovy.bin"  # Make sure model is in Google Drive

model = GPT4All(model_path)

with model.chat_session() as session:
    while True:
        prompt = input("You: ")
        if prompt.lower() in ['exit', 'quit']: break
        response = session.prompt(prompt)
        print("GPT:", response)

✅ No API key
✅ No account/login
✅ Unlimited usage
⚠️ Needs your .bin model to be already downloaded in Drive

---

❌ What You Cannot Do Freely:

• You cannot access ChatGPT API (OpenAI) without an API key.

• You cannot use OpenAI-hosted models in Colab without login/payment.

• Free OpenAI accounts still require email, phone verification, and have rate limits.

---

✅ Best Free Alternatives for ChatGPT-like Offline Use:

1. GPT4All – works in Python, no internet needed once set up

2. LLaMA.cpp / Mistral / TinyLLM – run smaller models locally

3. Oobabooga Text Generation Web UI – local chatbot with GUI (advanced)

----------------

# Install gpt4all library

!pip install gpt4all

# Import required modules

import os

import zipfile

from gpt4all import GPT4All

# Set paths

zip_path = "/content/drive/My Drive/models/ggml-gpt4all-j-v1.3-groovy.zip"

extract_dir = "/content/drive/My Drive/models/"

model_filename = "ggml-gpt4all-j-v1.3-groovy.bin"

model_path = os.path.join(extract_dir, model_filename)

# Unzip the model file if not already extracted

if not os.path.exists(model_path):

    with zipfile.ZipFile(zip_path, 'r') as zip_ref:

        zip_ref.extractall(extract_dir)

        print(f"Model extracted to {extract_dir}")

else:

    print("Model already extracted.")

# Load the model

model = GPT4All(model_path)

# Start chat session

with model.chat_session() as session:

    while True:

        prompt = input("You: ")

        if prompt.lower() in ['exit', 'quit']:

            break

        response = session.prompt(prompt)

        print("GPT:", response)