Transformers
GGUF
English
function calling
tool use
llama
llama3
tinyllama
instruct-tuned
4-bit quantization
ggfu
text-generation-inference
unsloth
trl
llama-cpp
gguf-my-lora
Instructions to use makaveli10/tinyllama-function-call-lora-adapter-250424-F16-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use makaveli10/tinyllama-function-call-lora-adapter-250424-F16-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("makaveli10/tinyllama-function-call-lora-adapter-250424-F16-GGUF", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio
How to use makaveli10/tinyllama-function-call-lora-adapter-250424-F16-GGUF with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for makaveli10/tinyllama-function-call-lora-adapter-250424-F16-GGUF to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for makaveli10/tinyllama-function-call-lora-adapter-250424-F16-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for makaveli10/tinyllama-function-call-lora-adapter-250424-F16-GGUF to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="makaveli10/tinyllama-function-call-lora-adapter-250424-F16-GGUF", max_seq_length=2048, )
makaveli10/tinyllama-function-call-lora-adapter-250424-F16-GGUF
This LoRA adapter was converted to GGUF format from unclecode/tinyllama-function-call-lora-adapter-250424 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 tinyllama-function-call-lora-adapter-250424-f16.gguf (...other args)
# with server
llama-server -m base_model.gguf --lora tinyllama-function-call-lora-adapter-250424-f16.gguf (...other args)
To know more about LoRA usage with llama.cpp server, refer to the llama.cpp server documentation.
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