Add link to Github repo, change pipeline tag to robotics

README.md

@@ -1,25 +1,22 @@
 ---
-license: other
-license_name: qwen-research
-license_link: https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct/blob/main/LICENSE
-language:
-- en
 base_model:
 - Qwen/Qwen2.5-Coder-3B-Instruct
-pipeline_tag: text-generation
+language:
+- en
 library_name: transformers
+license: other
+license_name: qwen-research
+license_link: https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct/blob/main/LICENSE
+pipeline_tag: robotics
 tags:
 - code
 - chat
 - qwen
 - qwen-coder
 - agent
+- robotics
 ---
 
-# Tiny-Agent-α
-
-## Introduction
-
 ***Tiny-Agent-α*** is an extension of Dria-Agent-a, trained on top of the [Qwen2.5-Coder](https://huggingface.co/collections/Qwen/qwen25-coder-66eaa22e6f99801bf65b0c2f) series to be used in edge devices. These models are carefully fine tuned with quantization aware training to minimize performance degradation after quantization. 
 
 Tiny-Agent-α employs ***Pythonic function calling***, which is LLMs using blocks of Python code to interact with provided tools and output actions. This method was inspired by many previous work, including but not limited to [DynaSaur](https://arxiv.org/pdf/2411.01747), [RLEF](https://arxiv.org/pdf/2410.02089), [ADAS](https://arxiv.org/pdf/2408.08435) and [CAMEL](https://arxiv.org/pdf/2303.17760). This way of function calling has a few advantages over traditional JSON-based function calling methods:
@@ -237,4 +234,6 @@ Current benchmark results for various models **(strict)**:
       title={Dria-Agent-a},
       author={"andthattoo", "Atakan Tekparmak"}
 }
-```
+```
+
+Code: https://github.com/firstbatchxyz/dria-agent