Update README.md

README.md

@@ -10,13 +10,16 @@ tags:
 - tool_use
 ---
 
-# LLMBG-ToolUse: Bulgarian Language Models for Function Calling 🇧🇬
+# Tucan-2.6B-v1.0-LoRA
+
+## Bulgarian Language Models for Function Calling 🇧🇬
+
 
 > 📄 **Full methodology, dataset details, and evaluation results coming in the upcoming paper**
 
 ## Overview 🚀
 
-LLMBG-ToolUse is a series of open-source Bulgarian language models fine-tuned specifically for function calling and tool use. 
+TUCAN (Tool-Using Capable Assistant Navigator) is a series of open-source Bulgarian language models fine-tuned specifically for function calling and tool use. 
 
 These models can interact with external tools, APIs, and databases, making them appropriate for building AI agents and [Model Context Protocol (MCP)](https://arxiv.org/abs/2503.23278) applications.
 
@@ -33,9 +36,9 @@ Available in three sizes with full models, LoRA adapters, and quantized GGUF var
 
 | Model Size | Full Model | LoRA Adapter | GGUF (Quantized) |
 |------------|------------|--------------|------------------|
-| **2.6B** | [LLMBG-ToolUse-2.6B-v1.0](https://huggingface.co/s-emanuilov/LLMBG-ToolUse-2.6B-v1.0)| [LoRA](https://huggingface.co/s-emanuilov/LLMBG-ToolUse-2.6B-v1.0-LoRA) 📍| [GGUF](https://huggingface.co/s-emanuilov/LLMBG-ToolUse-2.6B-v1.0-GGUF) |
-| **9B** | [LLMBG-ToolUse-9B-v1.0](https://huggingface.co/s-emanuilov/LLMBG-ToolUse-9B-v1.0) | [LoRA](https://huggingface.co/s-emanuilov/LLMBG-ToolUse-9B-v1.0-LoRA) | [GGUF](https://huggingface.co/s-emanuilov/LLMBG-ToolUse-9B-v1.0-GGUF) |
-| **27B** | [LLMBG-ToolUse-27B-v1.0](https://huggingface.co/s-emanuilov/LLMBG-ToolUse-27B-v1.0) | [LoRA](https://huggingface.co/s-emanuilov/LLMBG-ToolUse-27B-v1.0-LoRA) | [GGUF](https://huggingface.co/s-emanuilov/LLMBG-ToolUse-27B-v1.0-GGUF) |
+| **2.6B** | [Tucan--2.6B-v1.0](https://huggingface.co/s-emanuilov/Tucan--2.6B-v1.0)| [LoRA](https://huggingface.co/s-emanuilov/Tucan--2.6B-v1.0-LoRA) 📍| [GGUF](https://huggingface.co/s-emanuilov/Tucan--2.6B-v1.0-GGUF) |
+| **9B** | [Tucan--9B-v1.0](https://huggingface.co/s-emanuilov/Tucan--9B-v1.0) | [LoRA](https://huggingface.co/s-emanuilov/Tucan--9B-v1.0-LoRA) | [GGUF](https://huggingface.co/s-emanuilov/Tucan--9B-v1.0-GGUF) |
+| **27B** | [Tucan--27B-v1.0](https://huggingface.co/s-emanuilov/Tucan--27B-v1.0) | [LoRA](https://huggingface.co/s-emanuilov/Tucan--27B-v1.0-LoRA) | [GGUF](https://huggingface.co/s-emanuilov/Tucan--27B-v1.0-GGUF) |
 
 *GGUF variants include: q4_k_m, q5_k_m, q6_k, q8_0, q4_0 quantizations*  
 
@@ -88,7 +91,7 @@ import json
 from transformers import AutoModelForCausalLM, AutoTokenizer, GenerationConfig
 
 # Load model
-model_name = "s-emanuilov/LLMBG-ToolUse-2.6B-v1.0"
+model_name = "s-emanuilov/Tucan--2.6B-v1.0"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForCausalLM.from_pretrained(
     model_name,