Starting benchmark for qwen3.8:27b at 20261015-1306... Model information: Model architecture qwen35 parameters 27.3B context length 262144 embedding length 5120 quantization Q4_K_M requires 0.32.12 Capabilities completion vision tools thinking levels false, low, medium, xhigh default medium Projector architecture clip parameters 460.73M embedding length 1152 dimensions 5120 Parameters temperature 1 top_k 20 top_p 0.95 draft_num_predict 4 min_p 0 presence_penalty 0 repeat_penalty 1 License Apache License Version 2.0, January 2004 ... =================================================================== Running model at 8192 context length... =================================================================== { "model": "qwen3.8:27b", "created_at": "2026-10-15T17:07:02.791233864Z", "response": "# Hello World in Python\n\n```python\nprint(\"Hello, World!\")\n```\n\nThat's it! Save it as `hello.py` and run it from the terminal:\n\n```bash\npython hello.py\n```\n\n**Output:**\n\n```\nHello, World!\n```\n\nThe `print()` function writes the given string to standard output followed by a newline. This is the most common \"Hello World\" example in Python because it shows the language's simplicity — no semicolons, no variable declarations, no boilerplate.", "thinking": "The user wants a simple \"hello world\" application in Python. This is straightforward - I'll write a minimal Python script that prints \"Hello, World!\" to the console. I'll keep it simple but maybe add a brief explanation.", "done": true, "done_reason": "stop", "total_duration": 7782634846, "load_duration": 4835875746, "prompt_eval_count": 19, "prompt_eval_cached_count": 0, "prompt_eval_duration": 181766000, "eval_count": 160, "eval_duration": 2763649000, "tokens_per_second": 57.89, "time_to_first_token_ms": 181.77 } ------------------------------------------------------------------- Process information: NAME ID SIZE PROCESSOR CONTEXT RUNNER UNTIL qwen3.8:27b aaee06c39dcf 17 GB 100% GPU 8192 llamacpp 4 minutes from now ------------------------------------------------------------------- GPU memory usage: Memory used: 19GiB =================================================================== Running model at 16384 context length... =================================================================== { "model": "qwen3.8:27b", "created_at": "2026-10-15T17:07:10.701310063Z", "response": "# Hello World in Python\n\n```python\nprint(\"Hello, World!\")\n```\n\n## How to Run It\n\n1. Save the code in a file, e.g., `hello.py`\n2. Open a terminal/command prompt\n3. Run:\n ```bash\n python hello.py\n ```\n4. Output:\n ```\n Hello, World!\n ```\n\nThat's it! The `print()` function outputs text to the console. In Python 3, `print()` is a built-in function, so no imports are needed.", "thinking": "The user wants a simple \"hello world\" application in Python. This is straightforward - I'll write a basic Python script that prints \"Hello, World!\" to the console. I'll keep it simple but present it clearly with a brief explanation.", "done": true, "done_reason": "stop", "total_duration": 7653459085, "load_duration": 4876346014, "prompt_eval_count": 19, "prompt_eval_cached_count": 0, "prompt_eval_duration": 171202000, "eval_count": 171, "eval_duration": 2604373000, "tokens_per_second": 65.66, "time_to_first_token_ms": 171.2 } ------------------------------------------------------------------- Process information: NAME ID SIZE PROCESSOR CONTEXT RUNNER UNTIL qwen3.8:27b aaee06c39dcf 17 GB 100% GPU 16384 llamacpp 4 minutes from now ------------------------------------------------------------------- GPU memory usage: Memory used: 19GiB =================================================================== Running model at 24576 context length... =================================================================== { "model": "qwen3.8:27b", "created_at": "2026-10-15T17:07:18.469791819Z", "response": "```python\n# hello_world.py\nprint(\"Hello, World!\")\n```\n\nTo run it:\n\n```bash\npython hello_world.py\n```\n\n**Output:**\n\n```\nHello, World!\n```\n\nThat's the most basic Python application — a single `print()` call that writes the string `\"Hello, World!\"` to standard output and adds a newline. No imports, no setup, no dependencies. Just Python. 🐍", "thinking": "The user wants a simple \"hello world\" Python application. This is straightforward - I'll write a basic Python script that prints \"Hello, World!\" to the console. I'll keep it clean and simple, maybe with a brief explanation.", "done": true, "done_reason": "stop", "total_duration": 7512070381, "load_duration": 4892977156, "prompt_eval_count": 19, "prompt_eval_cached_count": 0, "prompt_eval_duration": 177389000, "eval_count": 144, "eval_duration": 2440362000, "tokens_per_second": 59.01, "time_to_first_token_ms": 177.39 } ------------------------------------------------------------------- Process information: NAME ID SIZE PROCESSOR CONTEXT RUNNER UNTIL qwen3.8:27b aaee06c39dcf 17 GB 100% GPU 24576 llamacpp 4 minutes from now ------------------------------------------------------------------- GPU memory usage: Memory used: 19GiB =================================================================== Running model at 32768 context length... =================================================================== { "model": "qwen3.8:27b", "created_at": "2026-10-15T17:07:28.185654918Z", "response": "# Hello World in Python\n\n```python\ndef main():\n print(\"Hello, World!\")\n\nif __name__ == \"__main__\":\n main()\n```\n\n**Run it:**\n\n```bash\npython hello_world.py\n```\n\n**Output:**\n\n```\nHello, World!\n```\n\n### What's happening\n\n- **`print(\"Hello, World!\")`** — prints the greeting to the console.\n- **`def main():`** — wraps the logic in a function for clean structure.\n- **`if __name__ == \"__main__\":`** — ensures `main()` only runs when the script is executed directly (not when imported as a module). This is a common Python convention for small applications.\n\n> If you truly want the absolute minimum, a single line is all you need:\n> ```python\n> print(\"Hello, World!\")\n> ```", "thinking": "The user wants a simple \"Hello World\" Python application. This is straightforward - I'll write a clean, simple Python script that prints \"Hello, World!\" to the console. I'll keep it minimal but maybe add a tiny bit of structure to make it feel like an \"application\" rather than just a one-liner, since they said \"application.\"", "done": true, "done_reason": "stop", "total_duration": 9458349936, "load_duration": 4894560067, "prompt_eval_count": 19, "prompt_eval_cached_count": 0, "prompt_eval_duration": 175814000, "eval_count": 264, "eval_duration": 4386459000, "tokens_per_second": 60.19, "time_to_first_token_ms": 175.81 } ------------------------------------------------------------------- Process information: NAME ID SIZE PROCESSOR CONTEXT RUNNER UNTIL qwen3.8:27b aaee06c39dcf 17 GB 100% GPU 32768 llamacpp 4 minutes from now ------------------------------------------------------------------- GPU memory usage: Memory used: 20GiB =================================================================== Running model at 40960 context length... =================================================================== { "model": "qwen3.8:27b", "created_at": "2026-10-15T17:07:37.455895708Z", "response": "# Hello World in Python\n\n```python\nprint(\"Hello, World!\")\n```\n\nThat's it! Run it with:\n\n```bash\npython hello.py\n```\n\n**Output:**\n```\nHello, World!\n```\n\n---\n\nIf you'd like a slightly more \"application-like\" version with a main entry point:\n\n```python\ndef greet(name: str = \"World\") -> str:\n \"\"\"Return a friendly greeting.\"\"\"\n return f\"Hello, {name}!\"\n\ndef main() -> None:\n print(greet())\n print(greet(\"Python\"))\n\nif __name__ == \"__main__\":\n main()\n```\n\n**Output:**\n```\nHello, World!\nHello, Python!\n```\n\nThis second version demonstrates a few Python conventions:\n- **Type hints** (`str`, `None`) for readability\n- **Docstring** on the function\n- **`if __name__ == \"__main__\"`** guard so the module can be imported without executing `main()`\n- **f-strings** for string formatting", "thinking": "The user wants a simple \"Hello World\" application in Python. This is straightforward - I'll write a clean, minimal example with a brief explanation.", "done": true, "done_reason": "stop", "total_duration": 9006401631, "load_duration": 4891983258, "prompt_eval_count": 19, "prompt_eval_cached_count": 0, "prompt_eval_duration": 174986000, "eval_count": 262, "eval_duration": 3938042000, "tokens_per_second": 66.53, "time_to_first_token_ms": 174.99 } ------------------------------------------------------------------- Process information: NAME ID SIZE PROCESSOR CONTEXT RUNNER UNTIL qwen3.8:27b aaee06c39dcf 17 GB 100% GPU 40960 llamacpp 4 minutes from now ------------------------------------------------------------------- GPU memory usage: Memory used: 21GiB =================================================================== Running model at 49152 context length... =================================================================== { "model": "qwen3.8:27b", "created_at": "2026-10-15T17:07:44.990015887Z", "response": "```python\nprint(\"Hello, World!\")\n```\n\n**To run it:**\n\n1. Save the code to a file, e.g. `hello.py`\n2. Run it from your terminal:\n\n```bash\npython hello.py\n```\n\n**Output:**\n\n```\nHello, World!\n```\n\nThat's it — a complete Python \"Hello World\" application. 🐍", "thinking": "The user wants a simple \"Hello World\" application in Python. This is straightforward - I'll provide the classic print statement, and maybe a tiny bit of context to make it helpful. I'll keep it simple and clean.", "done": true, "done_reason": "stop", "total_duration": 7274676733, "load_duration": 4865161168, "prompt_eval_count": 19, "prompt_eval_cached_count": 0, "prompt_eval_duration": 179535000, "eval_count": 131, "eval_duration": 2228499000, "tokens_per_second": 58.78, "time_to_first_token_ms": 179.54 } ------------------------------------------------------------------- Process information: NAME ID SIZE PROCESSOR CONTEXT RUNNER UNTIL qwen3.8:27b aaee06c39dcf 17 GB 100% GPU 49152 llamacpp 4 minutes from now ------------------------------------------------------------------- GPU memory usage: Memory used: 21GiB =================================================================== Running model at 57344 context length... =================================================================== { "model": "qwen3.8:27b", "created_at": "2026-10-15T17:07:53.153858327Z", "response": "```python\nprint(\"Hello, World!\")\n```\n\nSave that as `hello.py` and run it with:\n\n```bash\npython hello.py\n```\n\nOutput:\n\n```\nHello, World!\n```\n\nThat's the classic \"Hello, World!\" in Python. Simple by design — it's the traditional starting point for learning any new language.", "thinking": "The user wants a simple \"hello world\" application in Python. This is straightforward - I'll provide a clean, simple Python script that prints \"Hello, World!\" to the console. I could also add a tiny bit of extra context like a comment explaining what it does, but I should keep it minimal since that's what \"hello world\" implies.", "done": true, "done_reason": "stop", "total_duration": 7906292945, "load_duration": 4863763424, "prompt_eval_count": 19, "prompt_eval_cached_count": 0, "prompt_eval_duration": 173681000, "eval_count": 149, "eval_duration": 2867426000, "tokens_per_second": 51.96, "time_to_first_token_ms": 173.68 } ------------------------------------------------------------------- Process information: NAME ID SIZE PROCESSOR CONTEXT RUNNER UNTIL qwen3.8:27b aaee06c39dcf 17 GB 100% GPU 57344 llamacpp 4 minutes from now ------------------------------------------------------------------- GPU memory usage: Memory used: 22GiB =================================================================== Running model at 65536 context length... =================================================================== { "model": "qwen3.8:27b", "created_at": "2026-10-15T17:08:01.408439882Z", "response": "# Hello World in Python\n\n```python\nprint(\"Hello, World!\")\n```\n\nRun it with:\n\n```bash\npython hello_world.py\n```\n\nOutput:\n\n```\nHello, World!\n```\n\nThat's it — one line. Python doesn't require a main function, type declarations, or compilation. You can also run it interactively by dropping into the REPL with `python` (or `python3`) and typing the `print(...)` statement directly.", "thinking": "The user wants a simple \"Hello World\" Python application. This is straightforward - I'll write a basic Python script that prints \"Hello, World!\" to the console. I could make it slightly more interesting while keeping it simple, but the core request is just a hello world app. Let me provide a clean, minimal example with a brief explanation.", "done": true, "done_reason": "stop", "total_duration": 7997203087, "load_duration": 4890479363, "prompt_eval_count": 19, "prompt_eval_cached_count": 0, "prompt_eval_duration": 176584000, "eval_count": 172, "eval_duration": 2928654000, "tokens_per_second": 58.73, "time_to_first_token_ms": 176.58 } ------------------------------------------------------------------- Process information: NAME ID SIZE PROCESSOR CONTEXT RUNNER UNTIL qwen3.8:27b aaee06c39dcf 17 GB 100% GPU 65536 llamacpp 4 minutes from now ------------------------------------------------------------------- GPU memory usage: Memory used: 22GiB =================================================================== Running model at 73728 context length... =================================================================== { "model": "qwen3.8:27b", "created_at": "2026-10-15T17:08:10.023434455Z", "response": "# Hello World in Python\n\n```python\nprint(\"Hello, World!\")\n```\n\n**Run it:**\n\n```bash\npython hello.py\n```\n\n**Output:**\n\n```\nHello, World!\n```\n\n---\n\nIf you'd like a slightly more \"application-style\" version with a main guard:\n\n```python\ndef main():\n print(\"Hello, World!\")\n\nif __name__ == \"__main__\":\n main()\n```\n\nThis structure is idiomatic Python — it ensures `main()` only runs when the file is executed directly (not when imported as a module).", "thinking": "The user wants a simple \"Hello World\" application in Python. This is straightforward - I'll write a clean, simple Python script that prints \"Hello, World!\" to the console. I could make it slightly more \"application-like\" by adding a small structure, but keeping it simple and clear is best. Let me just provide a clean, well-formatted response.", "done": true, "done_reason": "stop", "total_duration": 8358246301, "load_duration": 4910660661, "prompt_eval_count": 19, "prompt_eval_cached_count": 0, "prompt_eval_duration": 181465000, "eval_count": 202, "eval_duration": 3264696000, "tokens_per_second": 61.87, "time_to_first_token_ms": 181.47 } ------------------------------------------------------------------- Process information: NAME ID SIZE PROCESSOR CONTEXT RUNNER UNTIL qwen3.8:27b aaee06c39dcf 17 GB 100% GPU 73728 llamacpp 4 minutes from now ------------------------------------------------------------------- GPU memory usage: Memory used: 23GiB =================================================================== Running model at 81920 context length... =================================================================== { "model": "qwen3.8:27b", "created_at": "2026-10-15T17:08:20.496916809Z", "response": "```python\nprint(\"Hello, World!\")\n```\n\n**Run it:**\n\n```bash\npython hello.py\n```\n\n**Output:**\n\n```\nHello, World!\n```\n\nThat's it — `print()` writes the string to standard output, which is the entirety of a \"Hello World\" program. No imports, no boilerplate, no dependencies.", "thinking": "The user wants a simple \"Hello World\" application in Python. This is straightforward. I'll provide a clean, minimal example with a brief explanation. I could just show the one-liner, but adding a tiny bit of context makes it more helpful as an \"application\" rather than just a snippet.", "done": true, "done_reason": "stop", "total_duration": 10214363648, "load_duration": 6461310324, "prompt_eval_count": 19, "prompt_eval_cached_count": 0, "prompt_eval_duration": 271470000, "eval_count": 140, "eval_duration": 3480103000, "tokens_per_second": 40.23, "time_to_first_token_ms": 271.47 } ------------------------------------------------------------------- Process information: NAME ID SIZE PROCESSOR CONTEXT RUNNER UNTIL qwen3.8:27b aaee06c39dcf 18 GB 8%/92% CPU/GPU 81920 llamacpp 4 minutes from now ------------------------------------------------------------------- GPU memory usage: Memory used: 23GiB !!WARNING!! Model started to expand past video memory; halting run for this model