The sources describe how to use Bolt.New and Ollama to create a web application without writing any code.
Bolt.New is a tool that allows users to create full-stack applications using natural language prompts. It generates the necessary code and files, enabling users to quickly build and deploy applications.
Ollama is a tool that allows users to run open-source language models locally, avoiding token usage fees associated with cloud-based models.
Connecting Bolt.New and Ollama
To connect Bolt.New and Ollama, follow these steps:
●
Install Prerequisites: Ensure you have Ollama, Git, Node.js, and Docker installed on your system.
●
Clone the Repository: Clone the Bolt.New fork repository from GitHub.
●
Install a Language Model: Choose a language model from Ollama's website and install it using the provided command in your terminal.
●
Create Model File: Create a folder named 'model_file' in the Bolt.New directory and create a file named 'model_list' within it.
●
Configure Model File: In the 'model_list' file:
○
On the first line, type 'from' followed by the model card of the model you installed with Ollama.
○
On the next line, type 'PARAMETER' and set the context length of your model using the format 'num_ctx = [context length]'.
●
Initialise Ollama: Use the command ollama create -f [model file directory] [model name] to initialise Ollama within the Bolt.New directory.
●
Run Bolt.New: Choose to run Bolt.New with or without Docker.
○
With Docker: Use the provided Docker command.
○
Without Docker: Install the necessary packages using the pnpm install command and run the runev command.
●
Access Bolt.New: Once Bolt.New is running, copy the localhost link from your terminal and open it in your web browser.
●
Choose Ollama Provider: In the Bolt.New interface, select Ollama as the provider.
●
Start Creating: You can now start creating your web application using natural language prompts.
Examples of Applications
The sources provide examples of applications created using Bolt.New:
●
Simple Web Page: A basic web page can be created with a simple prompt.
●
Snake Game: A functional snake game can be generated using a prompt.
●
Full-Stack Financial Application: A full-stack financial service web application with features like a dashboard, budget management, transaction tracking, and investment tracking can be created using a detailed prompt.
Choosing a Language Model
While the source recommends the Cloud 3.5 Sonic model for best performance, open-source models like the Quin 2.5 coder can also be used with Ollama. the choice of language model depends on the complexity and requirements of your application.
Remember that the information provided in this response is based on the provided sources. You may need to consult additional resources or documentation for more detailed instructions or specific troubleshooting.
Comments
Post a Comment