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@@ -8,14 +8,74 @@ tags:
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  - unsloth
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  - llama
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  - trl
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- base_model: unsloth/tinyllama-chat-bnb-4bit
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  ---
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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/tinyllama-chat-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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  - 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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+ ---
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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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+ license: apache-2.0
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+ ---
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+
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+ # Function Calling and Tool Use LLaMA Models
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+
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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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+
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+ For each version, the following variants are available:
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+
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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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+
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+ ## Dataset
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+
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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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+
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+ ## Usage
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+
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+ To learn how to use these models, refer to the Colab notebook: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://tinyurl.com/ucfllm)
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+
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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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+
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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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+
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+ ## Other Models
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+
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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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+
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+ ## License
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+ These models are released under the Apache 2.0 license.
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+
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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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