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--- |
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language: |
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- en |
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license: apache-2.0 |
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tags: |
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- function calling |
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- tool use |
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- llama |
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- llama3 |
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- tinyllama |
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- instruct-tuned |
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- 4-bit quantization |
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- ggfu |
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- text-generation-inference |
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- transformers |
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- unsloth |
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- llama |
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- trl |
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base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0 |
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--- |
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# Function Calling and Tool Use LLaMA Models |
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This repository contains two main versions of LLaMA models fine-tuned for function calling and tool use capabilities: |
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1. Fine-tuned version of the `LLama3-8b-instruct` model |
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2. `tinyllama` - a smaller model version |
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For each version, the following variants are available: |
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- 16-bit quantized model |
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- 4-bit quantized model |
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- GGFU format for use with llama.cpp |
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## Dataset |
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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). |
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## Usage |
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To learn how to use these models, refer to the Colab notebook: [](https://tinyurl.com/ucfllm) |
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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. |
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## Library and Tools Support |
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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: |
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[https://github.com/unclecode/fllm](https://github.com/unclecode/fllm) |
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Please open an issue in the repository for any bugs or collaboration requests. |
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## Other Models |
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Here are links to other related models: |
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- [unclecode/llama3-function-call-lora-adapter-240424](https://huggingface.co./unclecode/llama3-function-call-lora-adapter-240424) |
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- [unclecode/llama3-function-call-16bit-240424](https://huggingface.co./unclecode/llama3-function-call-16bit-240424) |
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- [unclecode/llama3-function-call-4bit-240424](https://huggingface.co./unclecode/llama3-function-call-4bit-240424) |
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- [unclecode/llama3-function-call-Q4_K_M_GGFU-240424](https://huggingface.co./unclecode/llama3-function-call-Q4_K_M_GGFU-240424) |
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- [unclecode/tinyllama-function-call-lora-adapter-250424](https://huggingface.co./unclecode/tinyllama-function-call-lora-adapter-250424) |
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- [unclecode/tinyllama-function-call-16bit-250424](https://huggingface.co./unclecode/tinyllama-function-call-16bit-250424) |
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- [unclecode/tinyllama-function-call-Q4_K_M_GGFU-250424](https://huggingface.co./unclecode/tinyllama-function-call-Q4_K_M_GGFU-250424) |
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## License |
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These models are released under the Apache 2.0 license. |
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# Uploaded model |
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- **Developed by:** unclecode |
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- **License:** apache-2.0 |
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- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit |
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. |
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) |
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