Instructions to use isaiahbjork/tinyllama-function-calling-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use isaiahbjork/tinyllama-function-calling-v0.1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama-bnb-4bit") model = PeftModel.from_pretrained(base_model, "isaiahbjork/tinyllama-function-calling-v0.1") - Notebooks
- Google Colab
- Kaggle
|
Download README.md from isaiahbjork/tinyllama-function-calling-v0.1: direct link, hf CLI and curl.
- Browser
- Download file 420 Bytes
-
https://huggingface.co/isaiahbjork/tinyllama-function-calling-v0.1/resolve/main/README.md
- Command line
-
hf download hf://isaiahbjork/tinyllama-function-calling-v0.1/README.md
-
curl -L -o README.md https://huggingface.co/isaiahbjork/tinyllama-function-calling-v0.1/resolve/main/README.md
420 Bytes
| library_name: peft | |
| base_model: unsloth/tinyllama-bnb-4bit | |
| # Function Calling Adapter for Tiny Llama 1.1B v1.0 | |
| Formats response to {'message': '', 'function_call': None, 'args': []} | |
| v0.1 - Doesn't call functions yet needs further fine-tuning, only formats message into JSON. | |
| Make a copy of the colab to inference the model | |
| https://store.isaiahbjork.com/l/tiny-llama-finetuning-guide | |
| Finetuned with unsloth.ai |