Update README.md

README.md

@@ -171,6 +171,15 @@ You can also run this model with vLLM, by running the following in your terminal
 
 You may then use the model over API using the OpenAI library just like you would call OpenAI's API.
 
+## GGUF Llama.cpp Inference
+
+These models are compatible with [llama.cpp](https://github.com/ggerganov/llama.cpp) and similar frameworks.
+
+Example usage with llama.cpp:
+```bash
+./main -m /path/to/model.gguf -p "Hello, I am a language model" -n 128
+```
+
 ## Prompt Format for Function Calling
 
 Our model was trained on specific system prompts and structures for Function Calling. 
@@ -223,7 +232,6 @@ The stock fundamentals data for Tesla (TSLA) are as follows:
 This information provides a snapshot of Tesla's financial position and performance based on the fundamental data obtained from the yfinance API. It shows that Tesla has a substantial market capitalization and a relatively high P/E and P/B ratio compared to other stocks in its industry. The company does not pay a dividend at the moment, which is reflected by a 'Dividend Yield' of 'None'. The Beta value indicates that Tesla's stock has a moderate level of volatility relative to the market. The 52-week high and low prices give an idea of the stock's range over the past year. This data can be useful when assessing investment opportunities and making investment decisions.<|eot_id|><|start_header_id|>user<|end_header_id|>
 ```
 
-
 ## Prompt Format for JSON Mode / Structured Outputs
 
 Our model was also trained on a specific system prompt for Structured Outputs, which should respond with **only** a json object response, in a specific json schema.
@@ -259,16 +267,3 @@ GGUF Quants: https://huggingface.co/NousResearch/DeepHermes-3-Llama-3-3B-Preview
       year={2025}
 }
 ```
-
-
-## Usage
-
-These models are compatible with [llama.cpp](https://github.com/ggerganov/llama.cpp) and similar frameworks.
-
-Example usage with llama.cpp:
-```bash
-./main -m /path/to/model.gguf -p "Hello, I am a language model" -n 128
-```
-
-## Upload Information
-Files were uploaded on Tue Mar 11 04:28:49 PDT 2025