{
  "model_id": "qwen3.6_4bit_dwq",
  "model": "/Volumes/fast/ai/weights/qwen3.6-35b-a3b-4bit-dwq",
  "task_id": "cb_02",
  "category": "combined",
  "slug": "webfetch_ko_summary",
  "timestamp": "2026-04-19T18:02:37",
  "ok": true,
  "wall_s": 6.257,
  "prompt_tokens": 1365,
  "completion_tokens": 548,
  "tok_s_decode": 87.58,
  "finish_reason": "stop",
  "turns": [
    {
      "id": "chatcmpl-b88a134c-132c-48ef-9843-0ab1123906fe",
      "system_fingerprint": "0.31.2-0.31.1-macOS-26.3.1-arm64-arm-64bit-applegpu_g16s",
      "object": "chat.completion",
      "model": "/Volumes/fast/ai/weights/qwen3.6-35b-a3b-4bit-dwq",
      "created": 1776589350,
      "choices": [
        {
          "index": 0,
          "finish_reason": "tool_calls",
          "message": {
            "role": "assistant",
            "content": "\n\n",
            "reasoning": "The user wants me to fetch the content of a specific URL and then summarize the available model lineup in Korean.\n\n1.  **Fetch the content**: I need to use the `webfetch` tool with the URL `https://raw.githubusercontent.com/QwenLM/Qwen3/refs/heads/main/README.md`.\n2.  **Summarize**: Once I have the content, I need to identify the model lineup mentioned in the README.\n3.  **Translate/Summarize in Korean**: I will then write the summary in Korean.\n\nLet's start by fetching the URL.\n",
            "tool_calls": [
              {
                "function": {
                  "name": "webfetch",
                  "arguments": "{\"url\": \"https://raw.githubusercontent.com/QwenLM/Qwen3/refs/heads/main/README.md\"}"
                },
                "type": "function",
                "id": "9bd9fc02-cfc9-4336-a235-b78c3feb815b"
              }
            ]
          }
        }
      ],
      "usage": {
        "prompt_tokens": 597,
        "completion_tokens": 166,
        "total_tokens": 763,
        "prompt_tokens_details": {
          "cached_tokens": 561
        }
      }
    },
    {
      "id": "chatcmpl-002536de-5a06-4d42-a2fe-38f3922a092c",
      "system_fingerprint": "0.31.2-0.31.1-macOS-26.3.1-arm64-arm-64bit-applegpu_g16s",
      "object": "chat.completion",
      "model": "/Volumes/fast/ai/weights/qwen3.6-35b-a3b-4bit-dwq",
      "created": 1776589352,
      "choices": [
        {
          "index": 0,
          "finish_reason": "stop",
          "message": {
            "role": "assistant",
            "content": "\n\nQwen3 모델 라인업을 요약하면 다음과 같습니다:\n\n**Qwen3 모델 라인업:**\n\n**Dense 모델:**\n- Qwen3-0.6B\n- Qwen3-1.7B\n- Qwen3-4B\n- Qwen3-8B\n- Qwen3-14B\n- Qwen3-32B\n\n**MoE (Mixture of Experts) 모델:**\n- Qwen3-30B-A3B\n- Qwen3-235B-A22B\n\n**공통 기능:**\n- 128K 컨텍스트 지원\n- 119개 언어 지원\n- 네이티브 도구 호출 (Tool Calling)\n- 사고 모드 (Thinking Mode) 지원\n\n**라이선스:** Apache 2.0\n\n알리바바의 최신 대규모 언어 모델 패밀리인 Qwen3는 0.6B에서 235B까지 다양한 크기의 모델을 제공하며, Dense와 MoE 아키텍처를 모두 포함하고 있습니다.",
            "reasoning": "The user wants me to summarize the available model lineup from the Qwen3 README in Korean.\n\nFrom the fetched content, I can see:\n- Qwen3 is Alibaba's latest LLM family\n- Models: Qwen3-0.6B, 1.7B, 4B, 8B, 14B, 32B (dense), Qwen3-30B-A3B, Qwen3-235B-A22B (MoE)\n- All support 128K context, 119 languages, native tool calling, and thinking mode\n- Apache 2.0 license\n\nI need to translate this information into Korean and summarize the model lineup.\n"
          }
        }
      ],
      "usage": {
        "prompt_tokens": 768,
        "completion_tokens": 382,
        "total_tokens": 1150,
        "prompt_tokens_details": {
          "cached_tokens": 596
        }
      }
    }
  ],
  "final_text": "\n\nQwen3 모델 라인업을 요약하면 다음과 같습니다:\n\n**Qwen3 모델 라인업:**\n\n**Dense 모델:**\n- Qwen3-0.6B\n- Qwen3-1.7B\n- Qwen3-4B\n- Qwen3-8B\n- Qwen3-14B\n- Qwen3-32B\n\n**MoE (Mixture of Experts) 모델:**\n- Qwen3-30B-A3B\n- Qwen3-235B-A22B\n\n**공통 기능:**\n- 128K 컨텍스트 지원\n- 119개 언어 지원\n- 네이티브 도구 호출 (Tool Calling)\n- 사고 모드 (Thinking Mode) 지원\n\n**라이선스:** Apache 2.0\n\n알리바바의 최신 대규모 언어 모델 패밀리인 Qwen3는 0.6B에서 235B까지 다양한 크기의 모델을 제공하며, Dense와 MoE 아키텍처를 모두 포함하고 있습니다.",
  "final_reasoning": "The user wants me to summarize the available model lineup from the Qwen3 README in Korean.\n\nFrom the fetched content, I can see:\n- Qwen3 is Alibaba's latest LLM family\n- Models: Qwen3-0.6B, 1.7B, 4B, 8B, 14B, 32B (dense), Qwen3-30B-A3B, Qwen3-235B-A22B (MoE)\n- All support 128K context, 119 languages, native tool calling, and thinking mode\n- Apache 2.0 license\n\nI need to translate this information into Korean and summarize the model lineup.\n",
  "final_tool_calls": [],
  "auto_pass": true,
  "auto_notes": ""
}