Update README.md

README.md

@@ -1,22 +1,59 @@
 ---
-language:
-- en
-license: apache-2.0
 tags:
-- text-generation-inference
-- transformers
-- unsloth
+- function calling
+- tool use
 - llama
-- trl
-base_model: unsloth/llama-3-8b-Instruct-bnb-4bit
+- llama3
+- tinyllama
+- instruct-tuned
+- 4-bit quantization
+- ggfu
+license: apache-2.0
 ---
 
-# Uploaded  model
+# 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: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](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:
 
-- **Developed by:** unclecode
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
+- [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)
 
-This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+## License
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+These models are released under the Apache 2.0 license.