Starting benchmark for deepseek-coder-v2:16b at 20261015-1242... Model information: Model architecture deepseek2 parameters 15.7B context length 163840 embedding length 2048 quantization Q4_0 Capabilities completion insert Parameters stop "User:" stop "Assistant:" License DEEPSEEK LICENSE AGREEMENT Version 1.0, 23 October 2023 ... =================================================================== Running model at 8192 context length... =================================================================== { "model": "deepseek-coder-v2:16b", "created_at": "2026-10-15T16:42:45.434579677Z", "response": " Certainly! Below is a simple \"hello world\" application written in Python:\n\n```python\n# hello_world.py\n\ndef main():\n print(\"Hello, World!\")\n\nif __name__ == \"__main__\":\n main()\n```\n\nHere's a breakdown of what this code does:\n\n1. **Function Definition**: The `main()` function is defined to encapsulate the \"hello world\" message.\n2. **Print Statement**: The `print(\"Hello, World!\")` statement outputs the message \"Hello, World!\" to the console.\n3. **Conditional Execution**: The `if __name__ == \"__main__\":` block ensures that the `main()` function is called only when the script is executed directly (not when it is imported as a module).\n\nTo run this script, save it to a file named `hello_world.py` and execute it using a Python interpreter:\n\n```sh\npython hello_world.py\n```\n\nThis will display the message \"Hello, World!\" in the terminal.", "done": true, "done_reason": "stop", "total_duration": 4153290188, "load_duration": 2427740512, "prompt_eval_count": 17, "prompt_eval_cached_count": 0, "prompt_eval_duration": 184902000, "eval_count": 227, "eval_duration": 1538900000, "tokens_per_second": 147.51, "time_to_first_token_ms": 184.9 } ------------------------------------------------------------------- Process information: NAME ID SIZE PROCESSOR CONTEXT RUNNER UNTIL deepseek-coder-v2:16b 63fb193b3a9b 11 GB 100% GPU 8192 llamacpp 4 minutes from now ------------------------------------------------------------------- GPU memory usage: Memory used: 12GiB =================================================================== Running model at 16384 context length... =================================================================== { "model": "deepseek-coder-v2:16b", "created_at": "2026-10-15T16:42:49.444167576Z", "response": " Certainly! Below is a simple \"Hello, World!\" application written in Python:\n\n```python\n# This is a comment in Python, and it won't be executed\n\n# Define a main function\ndef main():\n # Print \"Hello, World!\" to the console\n print(\"Hello, World!\")\n\n# Check if the script is being run as the main program\nif __name__ == \"__main__\":\n main()\n```\n\nThis script defines a `main` function that prints \"Hello, World!\" to the console. The `if __name__ == \"__main__\":` block ensures that the `main` function is called only when the script is run directly, not when it is imported as a module in another Python script.", "done": true, "done_reason": "stop", "total_duration": 3748246707, "load_duration": 2464509841, "prompt_eval_count": 17, "prompt_eval_cached_count": 0, "prompt_eval_duration": 184246000, "eval_count": 162, "eval_duration": 1097686000, "tokens_per_second": 147.58, "time_to_first_token_ms": 184.25 } ------------------------------------------------------------------- Process information: NAME ID SIZE PROCESSOR CONTEXT RUNNER UNTIL deepseek-coder-v2:16b 63fb193b3a9b 14 GB 100% GPU 16384 llamacpp 4 minutes from now ------------------------------------------------------------------- GPU memory usage: Memory used: 14GiB =================================================================== Running model at 24576 context length... =================================================================== { "model": "deepseek-coder-v2:16b", "created_at": "2026-10-15T16:42:54.046508558Z", "response": " Certainly! Below is a simple \"Hello, World!\" application written in Python:\n\n```python\n# Hello World program in Python\n\ndef main():\n print(\"Hello, World!\")\n\nif __name__ == \"__main__\":\n main()\n```\n\nHere's a breakdown of the code:\n\n1. **Function Definition**: The `main()` function is defined to encapsulate the \"Hello, World!\" message.\n2. **Print Statement**: Inside the `main()` function, the `print()` function is used to output the string \"Hello, World!\".\n3. **Conditional Execution**: The `if __name__ == \"__main__\":` block ensures that the `main()` function is called only when the script is run directly, not when it is imported as a module in another Python script.\n\nTo run this script, simply save it to a file with a `.py` extension (e.g., `hello_world.py`) and execute it using a Python interpreter:\n\n```sh\npython hello_world.py\n```\n\nThis will output:\n\n```\nHello, World!\n```", "done": true, "done_reason": "stop", "total_duration": 4341338976, "load_duration": 2443406319, "prompt_eval_count": 17, "prompt_eval_cached_count": 0, "prompt_eval_duration": 184132000, "eval_count": 243, "eval_duration": 1712002000, "tokens_per_second": 141.94, "time_to_first_token_ms": 184.13 } ------------------------------------------------------------------- Process information: NAME ID SIZE PROCESSOR CONTEXT RUNNER UNTIL deepseek-coder-v2:16b 63fb193b3a9b 17 GB 100% GPU 24576 llamacpp 4 minutes from now ------------------------------------------------------------------- GPU memory usage: Memory used: 17GiB =================================================================== Running model at 32768 context length... =================================================================== { "model": "deepseek-coder-v2:16b", "created_at": "2026-10-15T16:42:59.110304298Z", "response": " Certainly! Below is a simple \"Hello, World!\" application written in Python:\n\n```python\n# Hello World in Python\n\ndef main():\n print(\"Hello, World!\")\n\nif __name__ == \"__main__\":\n main()\n```\n\nHere's a breakdown of what this code does:\n\n1. **Define a function `main()`**: This function contains the code that will be executed when the program runs. In this case, it simply prints \"Hello, World!\" to the console.\n\n2. **Check if the script is the main program**: The `if __name__ == \"__main__\":` line checks if the script is being run directly (not imported as a module in another script). If it is, it calls the `main()` function.\n\nWhen you run this script, it will output:\n\n```\nHello, World!\n```\n\nTo run this script, save it to a file with a `.py` extension (e.g., `hello_world.py`) and then run it from the command line:\n\n```sh\npython hello_world.py\n```\n\nOr, if you have a more modern Python version that supports `python -m` (like Python 3.10+):\n\n```sh\npython -m hello_world\n```\n\nThis will execute the script and display the \"Hello, World!\" message.", "done": true, "done_reason": "stop", "total_duration": 4804677144, "load_duration": 2446034745, "prompt_eval_count": 17, "prompt_eval_cached_count": 0, "prompt_eval_duration": 184744000, "eval_count": 302, "eval_duration": 2172068000, "tokens_per_second": 139.04, "time_to_first_token_ms": 184.74 } ------------------------------------------------------------------- Process information: NAME ID SIZE PROCESSOR CONTEXT RUNNER UNTIL deepseek-coder-v2:16b 63fb193b3a9b 20 GB 100% GPU 32768 llamacpp 4 minutes from now ------------------------------------------------------------------- GPU memory usage: Memory used: 20GiB =================================================================== Running model at 40960 context length... =================================================================== { "model": "deepseek-coder-v2:16b", "created_at": "2026-10-15T16:43:03.924894412Z", "response": " Certainly! Below is a simple \"Hello, World!\" application written in Python:\n\n```python\n# Python \"Hello, World!\" application\n\ndef main():\n print(\"Hello, World!\")\n\nif __name__ == \"__main__\":\n main()\n```\n\nHere's a breakdown of the code:\n\n1. **Function Definition**:\n - `def main():` defines a function named `main`.\n\n2. **Print Statement**:\n - `print(\"Hello, World!\")` is a Python function that outputs the string \"Hello, World!\" to the console.\n\n3. **Conditional Execution**:\n - `if __name__ == \"__main__\":` checks if the script is being run as the main module (not imported).\n - `main()` calls the `main` function.\n\nTo run this script, simply save it to a file with a `.py` extension (e.g., `hello_world.py`) and execute it using a Python interpreter:\n\n```sh\npython hello_world.py\n```\n\nYou should see the output:\n\n```\nHello, World!\n```\n\nThis is a basic example of a Python application that prints \"Hello, World!\" to the console.", "done": true, "done_reason": "stop", "total_duration": 4552533436, "load_duration": 2432926587, "prompt_eval_count": 17, "prompt_eval_cached_count": 0, "prompt_eval_duration": 183056000, "eval_count": 272, "eval_duration": 1934709000, "tokens_per_second": 140.59, "time_to_first_token_ms": 183.06 } ------------------------------------------------------------------- Process information: NAME ID SIZE PROCESSOR CONTEXT RUNNER UNTIL deepseek-coder-v2:16b 63fb193b3a9b 23 GB 100% GPU 40960 llamacpp 4 minutes from now ------------------------------------------------------------------- GPU memory usage: Memory used: 22GiB =================================================================== Running model at 49152 context length... =================================================================== { "model": "deepseek-coder-v2:16b", "created_at": "2026-10-15T16:43:08.334254006Z", "response": " Certainly! Below is a simple \"Hello, World!\" application written in Python:\n\n```python\n# Python \"Hello, World!\" application\n\ndef main():\n print(\"Hello, World!\")\n\nif __name__ == \"__main__\":\n main()\n```\n\nHere's a breakdown of what this code does:\n\n1. **Function Definition (`def main():`)**:\n - This line defines a function named `main`.\n\n2. **Print Statement (`print(\"Hello, World!\")`)**:\n - This line uses the `print` function to output the string \"Hello, World!\" to the console.\n\n3. **Conditional Execution (`if __name__ == \"__main__\":`)**:\n - This line checks if the script is being run as the main program and not being imported as a module. If it is the main program, it calls the `main()` function.\n\nWhen you run this script, it will display \"Hello, World!\" in the console.", "done": true, "done_reason": "stop", "total_duration": 4148239061, "load_duration": 2450655883, "prompt_eval_count": 17, "prompt_eval_cached_count": 0, "prompt_eval_duration": 186061000, "eval_count": 216, "eval_duration": 1509769000, "tokens_per_second": 143.07, "time_to_first_token_ms": 186.06 } ------------------------------------------------------------------- Process information: NAME ID SIZE PROCESSOR CONTEXT RUNNER UNTIL deepseek-coder-v2:16b 63fb193b3a9b 24 GB 100% GPU 49152 llamacpp 4 minutes from now ------------------------------------------------------------------- GPU memory usage: Memory used: 23GiB =================================================================== Running model at 57344 context length... =================================================================== { "model": "deepseek-coder-v2:16b", "created_at": "2026-10-15T16:43:15.626877948Z", "response": " Certainly! Below is a simple \"Hello, World!\" program written in Python:\n\n```python\n# This is a comment. It will be ignored by the Python interpreter.\n\n# Define a function that prints \"Hello, World!\"\ndef print_hello_world():\n print(\"Hello, World!\")\n\n# Call the function to execute the code\nprint_hello_world()\n```\n\nWhen you run this code, it will output:\n\n```\nHello, World!\n```\n\nHere's a breakdown of the code:\n\n1. **Function Definition**: The `print_hello_world` function is defined to contain the code that prints \"Hello, World!\".\n2. **Function Call**: The `print_hello_world()` function is called to execute the code within the function.\n3. **Print Statement**: The `print` function is used to output the string \"Hello, World!\" to the console.\n\nYou can run this code in any Python environment, such as a local installation or an online Python interpreter.", "done": true, "done_reason": "stop", "total_duration": 7041499008, "load_duration": 3282796742, "prompt_eval_count": 17, "prompt_eval_cached_count": 0, "prompt_eval_duration": 244620000, "eval_count": 224, "eval_duration": 3512297000, "tokens_per_second": 63.78, "time_to_first_token_ms": 244.62 } ------------------------------------------------------------------- Process information: NAME ID SIZE PROCESSOR CONTEXT RUNNER UNTIL deepseek-coder-v2:16b 63fb193b3a9b 27 GB 10%/90% CPU/GPU 57344 llamacpp 4 minutes from now ------------------------------------------------------------------- GPU memory usage: Memory used: 23GiB !!WARNING!! Model started to expand past video memory; halting run for this model