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  1. README.md +45 -8
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@@ -13,7 +13,6 @@ tags:
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  - gguf
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  - llama cpp
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  ---
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-
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  # Octopus V4-GGUF: Graph of language models
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@@ -32,22 +31,60 @@ tags:
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  **Acknowledgement**:
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  We sincerely thank our community members, [Mingyuan](https://huggingface.co/ThunderBeee) and [Zoey](https://huggingface.co/ZY6), for their extraordinary contributions to this quantization effort. Please explore [Octopus-v4](https://huggingface.co/NexaAIDev/Octopus-v4) for our original huggingface model.
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- ## Run with [Ollama](https://github.com/ollama/ollama)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```bash
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- ollama run NexaAIDev/octopus-v4-q4_k_m
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  ```
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- Input example:
 
 
 
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- ```json
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- Query: Tell me the result of derivative of x^3 when x is 2?
 
 
 
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- Response: <nexa_4> ('Determine the derivative of the function f(x) = x^3 at the point where x equals 2, and interpret the result within the context of rate of change and tangent slope.')<nexa_end>
 
 
 
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  ```
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- Note that `<nexa_4>` represents the math gpt.
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  ### Dataset and Benchmark
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  - gguf
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  - llama cpp
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  ---
 
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  # Octopus V4-GGUF: Graph of language models
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  **Acknowledgement**:
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  We sincerely thank our community members, [Mingyuan](https://huggingface.co/ThunderBeee) and [Zoey](https://huggingface.co/ZY6), for their extraordinary contributions to this quantization effort. Please explore [Octopus-v4](https://huggingface.co/NexaAIDev/Octopus-v4) for our original huggingface model.
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+ ## (Recommended) Run with [llama.cpp](https://github.com/ggerganov/llama.cpp)
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+ 1. **Clone and compile:**
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+
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+ ```bash
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+ git clone https://github.com/ggerganov/llama.cpp
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+ cd llama.cpp
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+ # Compile the source code:
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+ make
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+ ```
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+
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+ 2. **Prepare the Input Prompt File:**
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+
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+ Navigate to the `prompt` folder inside the `llama.cpp`, and create a new file named `chat-with-octopus.txt`.
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+
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+ `chat-with-octopus.txt`:
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+
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+ ```bash
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+ User:
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+ ```
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+
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+ 3. **Execute the Model:**
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+
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+ Run the following command in the terminal:
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  ```bash
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+ ./main -m ./path/to/octopus-v4-Q4_K_M.gguf -c 512 -b 2048 -n 256 -t 1 --repeat_penalty 1.0 --top_k 0 --top_p 1.0 --color -i -r "User:" -f prompts/chat-with-octopus.txt
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  ```
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+ Example prompt to interact
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+ ```bash
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+ <|system|>You are a router. Below is the query from the users, please call the correct function and generate the parameters to call the function.<|end|><|user|>Tell me the result of derivative of x^3 when x is 2?<|end|><|assistant|>
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+ ```
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+ ## Run with [Ollama](https://github.com/ollama/ollama)
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+ 1. Create a `Modelfile` in your directory and include a `FROM` statement with the path to your local model:
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+ ```bash
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+ FROM ./path/to/octopus-v4-Q4_K_M.gguf
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+ ```
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+ 2. Use the following command to add the model to Ollama:
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+ ```bash
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+ ollama create octopus-v4-Q4_K_M -f Modelfile
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+ ```
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+ 3. Verify that the model has been successfully imported:
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+ ```bash
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+ ollama ls
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+ ```
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+
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+ ### Run the model
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+ ```bash
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+ ollama run octopus-v4-Q4_K_M "<|system|>You are a router. Below is the query from the users, please call the correct function and generate the parameters to call the function.<|end|><|user|>Tell me the result of derivative of x^3 when x is 2?<|end|><|assistant|>"
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  ```
 
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  ### Dataset and Benchmark
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