mirror of https://github.com/leafspark/AutoGGUF
Updated Introduction (markdown)
parent
c579d8c0e1
commit
f318891e1e
|
@ -1,6 +1,6 @@
|
||||||
### Overview of AutoGGUF
|
### Overview of AutoGGUF
|
||||||
|
|
||||||
AutoGGUF is an automated graphical interface designed for GGUF model quantization. Made with PyQt6 and llama.cpp, AutoGGUF simplifies the process of quantizing large language models (LLMs) for efficient local inference.
|
AutoGGUF is an automated graphical interface designed for GGUF model quantization. Made with PySide6 and llama.cpp, AutoGGUF simplifies the process of quantizing large language models (LLMs) for efficient local inference.
|
||||||
|
|
||||||
### Purpose and Features
|
### Purpose and Features
|
||||||
|
|
||||||
|
@ -10,4 +10,5 @@ The primary purpose of AutoGGUF is to democratize access to LLMs by making quant
|
||||||
2. Easy model selection and quantization
|
2. Easy model selection and quantization
|
||||||
3. Support for various quantization types
|
3. Support for various quantization types
|
||||||
4. User-friendly graphical interface
|
4. User-friendly graphical interface
|
||||||
5. Compatibility with popular AI models
|
6. Parallel quantization
|
||||||
|
7. LoRA conversion
|
Loading…
Reference in New Issue