Function Calling and Tool Use LLaMA Models
This repository contains two main versions of LLaMA models fine-tuned for function calling and tool use capabilities:
- Fine-tuned version of the
LLama3-8b-instruct
model tinyllama
- a smaller model version
For each version, the following variants are available:
- 16-bit quantized model
- 4-bit quantized model
- GGFU format for use with llama.cpp
Dataset
The models were fine-tuned using a modified version of the ilacai/glaive-function-calling-v2-sharegpt
dataset, which can be found at unclecode/glaive-function-calling-llama3.
Usage
To learn how to use these models, refer to the Colab notebook:
This is the first version of the models, and work is in progress to further train them with multi-tool detection and native tool binding support.
Library and Tools Support
A library is being developed to manage tools and add tool support for major LLMs, regardless of their built-in capabilities. You can find examples and contribute to the library at the following repository:
https://github.com/unclecode/fllm
Please open an issue in the repository for any bugs or collaboration requests.
Other Models
Here are links to other related models:
- unclecode/llama3-function-call-lora-adapter-240424
- unclecode/llama3-function-call-16bit-240424
- unclecode/llama3-function-call-4bit-240424
- unclecode/llama3-function-call-Q4_K_M_GGFU-240424
- unclecode/tinyllama-function-call-lora-adapter-250424
- unclecode/tinyllama-function-call-16bit-250424
- unclecode/tinyllama-function-call-Q4_K_M_GGFU-250424
License
These models are released under the Apache 2.0 license.
Uploaded model
- Developed by: unclecode
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model tree for unclecode/llama3-function-call-Q4_K_M_GGFU-240424
Base model
unsloth/llama-3-8b-Instruct-bnb-4bit