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2 years ago | |
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| .. | ||
| Common | 2 years ago | |
| Hubs | 2 years ago | |
| Models | 2 years ago | |
| Pages | 2 years ago | |
| Services | 2 years ago | |
| wwwroot | 2 years ago | |
| LLama.Web.csproj | 2 years ago | |
| Program.cs | 2 years ago | |
| README.md | 2 years ago | |
| appsettings.Development.json | 2 years ago | |
| appsettings.json | 2 years ago | |
LLama.Web has no heavy dependencies and no extra frameworks ove bootstrap and jquery to keep the examples clean and easy to copy over to your own project
Using signalr websockets simplifys the streaming of responses and model per connection management
You can setup Models, Prompts and Inference parameters in the appsettings.json
Models
You can add multiple models to the options for quick selection in the UI, options are based on ModelParams so its fully configurable
Parameters
You can add multiple sets of inference parameters to the options for quick selection in the UI, options are based on InferenceParams so its fully configurable
Prompts
You can add multiple sets of prompts to the options for quick selection in the UI
Example:
{
"Name": "Alpaca",
"Path": "D:\\Repositories\\AI\\Prompts\\alpaca.txt",
"Prompt": "Alternativly to can set a prompt text directly and omit the Path"
"AntiPrompt": [
"User:"
],
"OutputFilter": [
"Response:",
"User:"
]
}
C#/.NET上易用的LLM高性能推理框架,支持LLaMA和LLaVA系列模型。
C# Text Metal JavaScript HTML+Razor other