Instructions to use rmsdud/model-2-Q8_0-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rmsdud/model-2-Q8_0-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rmsdud/model-2-Q8_0-GGUF", dtype="auto") - Notebooks
- Google Colab
- Kaggle
rmsdud/model-2-Q8_0-GGUF
This LoRA adapter was converted to GGUF format from rmsdud/model-2 via the ggml.ai's GGUF-my-lora space.
Refer to the original adapter repository for more details.
Use with llama.cpp
# with cli
llama-cli -m base_model.gguf --lora model-2-q8_0.gguf (...other args)
# with server
llama-server -m base_model.gguf --lora model-2-q8_0.gguf (...other args)
To know more about LoRA usage with llama.cpp server, refer to the llama.cpp server documentation.
- Downloads last month
- 2
Hardware compatibility
Log In to add your hardware
8-bit
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐ Ask for provider support
Model tree for rmsdud/model-2-Q8_0-GGUF
Base model
rmsdud/model-2