File size: 3,095 Bytes
096b165 eb82804 b5d0e6d eb82804 b5d0e6d eb82804 096b165 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 |
---
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
- function calling
- tool use
- llama
- llama3
- tinyllama
- instruct-tuned
- 4-bit quantization
- ggfu
base_model: unsloth/llama-3-8b-Instruct-bnb-4bit
---
# 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:
1. Fine-tuned version of the `LLama3-8b-instruct` model
2. `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](https://huggingface.co/datasets/unclecode/glaive-function-calling-llama3).
## Usage
To learn how to use these models, refer to the Colab notebook: [](https://tinyurl.com/ucfllm)
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](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](https://huggingface.co/unclecode/llama3-function-call-lora-adapter-240424)
- [unclecode/llama3-function-call-16bit-240424](https://huggingface.co/unclecode/llama3-function-call-16bit-240424)
- [unclecode/llama3-function-call-4bit-240424](https://huggingface.co/unclecode/llama3-function-call-4bit-240424)
- [unclecode/llama3-function-call-Q4_K_M_GGFU-240424](https://huggingface.co/unclecode/llama3-function-call-Q4_K_M_GGFU-240424)
- [unclecode/tinyllama-function-call-lora-adapter-250424](https://huggingface.co/unclecode/tinyllama-function-call-lora-adapter-250424)
- [unclecode/tinyllama-function-call-16bit-250424](https://huggingface.co/unclecode/tinyllama-function-call-16bit-250424)
- [unclecode/tinyllama-function-call-Q4_K_M_GGFU-250424](https://huggingface.co/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](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
|