Update README

README.md

@@ -7,6 +7,16 @@ base_model:
 - Qwen/Qwen2.5-Coder-7B-Instruct
 ---
 
+# GGUF and Quantized versions of MadeAgents/Hammer2.1-7b
+
+This is a fork of [MadeAgents/Hammer2.1-7b](https://huggingface.co/MadeAgents/Hammer2.1-7b) where the safetensors have been converted to GGUF and quantized to BF16, Q8_0, and Q4_K
+
+This model seems to perform very well (given its size) in simple, multiple and parallel function call execution
+
+From the original repo:
+
+# Hammer2.1-7b Function Calling Model
+
 ## Introduction
 
 Hammer refers to a series of lightweight Large Action Models. Currently, we are releasing Hammer 2.1 models ([0.5B](https://huggingface.co/MadeAgents/Hammer2.1-0.5b), [1.5B](https://huggingface.co/MadeAgents/Hammer2.1-1.5b), [3B](https://huggingface.co/MadeAgents/Hammer2.1-3b), and [7B](https://huggingface.co/MadeAgents/Hammer2.1-7b)) with strong function calling capability. These models are based on the Qwen 2.5 coder series and utilize [function masking techniques](https://arxiv.org/abs/2410.04587) and other advanced technologies. Hammer 2.1 series bring significant enhancements, while still maintaining the basic functionality of Hammer 2.0's Single-Turn interaction and further strengthening other capabilities.