Kingy and native LM Studio: one completed paired repetition

{
  "machine": {
    "chip": "M4 Pro",
    "cpuCores": 14,
    "gpuCores": 20,
    "memoryGiB": 24,
    "os": "macOS 26.3 build 25D125",
    "power": "AC, automatic power mode",
    "environment": "Shared machine; conditions and swap retained. Other active jobs were not stopped."
  },
  "model": {
    "id": "Qwen3-4B",
    "quantization": "Q4_K_M",
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    "sha256": "7485fe6f11af29433bc51cab58009521f205840f5b4ae3a32fa7f92e8534fdf5"
  },
  "context": 8192,
  "maxOutputTokens": 512,
  "temperature": 0,
  "generationSeed": 271828,
  "completeQueryDeadlineSeconds": 90,
  "thinking": false,
  "PDFs": "same ten byte-identical PDFs,30 pages",
  "firstMessageOnly": true,
  "workflow": "1.4.0",
  "runtime": "llama.cpp0.6.0b11429 d81235049",
  "retrieval": "BM25 pages plus generic field/clause scoring; source-ID selection then source-sufficiency inference; no embedding service",
  "requestsPerQuestion": 2,
  "runnerSha256": "00d0f68dfa240c7ce937be94ade50172c5051cb243ad50b2740e1b292ea5f65c",
  "load": "CPU threads 10, fullMetal, flashattention, F16 KV, parallel 1",
  "timer": {
    "n": 40,
    "p50": 4.496676228998695,
    "p95": 6.2484013339853846,
    "max": 8.307981291989563,
    "boundary": "Kingy ask entry through complete returned answer including retrieval, selection and sufficiency check; excludes prior PDF import/index, cold start and warmup."
  },
  "warmup": "Neutral READY, no documents/questions before measurement",
  "coldStartAndPDFIndex": "Recorded separately, excluded from answer timer"
}

{
  "machine": {
    "chip": "M4 Pro",
    "cpuCores": 14,
    "gpuCores": 20,
    "memoryGiB": 24,
    "os": "macOS 26.3 build 25D125",
    "power": "AC, automatic power mode",
    "environment": "Shared machine; conditions and swap retained. Other active jobs were not stopped."
  },
  "model": {
    "id": "Qwen3-4B",
    "quantization": "Q4_K_M",
    "bytes": 2497280256,
    "sha256": "7485fe6f11af29433bc51cab58009521f205840f5b4ae3a32fa7f92e8534fdf5"
  },
  "context": 8192,
  "maxOutputTokens": 512,
  "temperature": 0,
  "generationSeed": 271828,
  "completeQueryDeadlineSeconds": 90,
  "thinking": false,
  "PDFs": "same ten byte-identical PDFs,30 pages",
  "firstMessageOnly": true,
  "app": "LM Studio 0.4.26+4 official notarized installer",
  "engine": "llama.cpp-mac-arm64-apple-metal-advsimd2.56.0;0.6.0-dev1commit8bb3cf0",
  "retrieval": "native PDF attachments and unmodified installed rag-v1 revision 8",
  "retrievalLimit": 8,
  "affinityThreshold": 0.5,
  "embedding": "bundled Nomic Embed Textv1.5Q4_K_M,84,106,624bytes",
  "requestsPerAnswer": 1,
  "actualEffectiveSettings": {
    "load_config": {
      "fields": [
        {
          "key": "llm.load.llama.autoFit",
          "value": false
        },
        {
          "key": "llm.load.mlx.autoFit",
          "value": false
        },
        {
          "key": "llm.load.llama.cpuThreadPoolSize",
          "value": 10
        },
        {
          "key": "llm.load.contextLength",
          "value": 8192
        },
        {
          "key": "llm.load.llama.flashAttention",
          "value": true
        },
        {
          "key": "llm.load.promptTemplate",
          "value": {
            "type": "jinja",
            "jinjaPromptTemplate": {
              "template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0].role == 'system' %}\n        {{- messages[0].content + '\\n\\n' }}\n    {%- endif %}\n    {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for index in range(ns.last_query_index, -1, -1) %}\n    {%- set message = messages[index] %}\n    {%- if ns.multi_step_tool and message.role == \"user\" and not('<tool_response>' in message.content and '</tool_response>' in message.content) %}\n        {%- set ns.multi_step_tool = false %}\n        {%- set ns.last_query_index = index %}\n    {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set content = message.content %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- else %}\n            {%- if '</think>' in message.content %}\n                {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n                {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n            {%- endif %}\n        {%- endif %}\n        {%- if loop.index0 > ns.last_query_index %}\n            {%- if loop.last or (not loop.last and reasoning_content) %}\n                {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n            {%- else %}\n                {{- '<|im_start|>' + message.role + '\\n' + content }}\n            {%- endif %}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- endif %}\n        {%- if message.tool_calls %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if (loop.first and content) or (not loop.first) %}\n                    {{- '\\n' }}\n                {%- endif %}\n                {%- if tool_call.function %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {{- '<tool_call>\\n{\"name\": \"' }}\n                {{- tool_call.name }}\n                {{- '\", \"arguments\": ' }}\n                {%- if tool_call.arguments is string %}\n                    {{- tool_call.arguments }}\n                {%- else %}\n                    {{- tool_call.arguments | tojson }}\n                {%- endif %}\n                {{- '}\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n    {%- if enable_thinking is defined and enable_thinking is false %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- endif %}\n{%- endif %}"
            }
          }
        },
        {
          "key": "llm.load.llama.tryDirectIO",
          "value": false
        },
        {
          "key": "llm.load.llama.acceleration.offloadRatio",
          "value": 1
        },
        {
          "key": "llm.load.yuzu.autoFit",
          "value": false
        },
        {
          "key": "llm.load.vllm.autoFit",
          "value": false
        },
        {
          "key": "llm.load.numParallelSessions",
          "value": 1
        },
        {
          "key": "llm.load.seed",
          "value": {
            "checked": true,
            "value": 271828
          }
        }
      ]
    },
    "prediction_config": {
      "fields": [
        {
          "key": "llm.prediction.promptTemplate",
          "value": {
            "type": "jinja",
            "jinjaPromptTemplate": {
              "template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0].role == 'system' %}\n        {{- messages[0].content + '\\n\\n' }}\n    {%- endif %}\n    {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for index in range(ns.last_query_index, -1, -1) %}\n    {%- set message = messages[index] %}\n    {%- if ns.multi_step_tool and message.role == \"user\" and not('<tool_response>' in message.content and '</tool_response>' in message.content) %}\n        {%- set ns.multi_step_tool = false %}\n        {%- set ns.last_query_index = index %}\n    {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set content = message.content %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- else %}\n            {%- if '</think>' in message.content %}\n                {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n                {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n            {%- endif %}\n        {%- endif %}\n        {%- if loop.index0 > ns.last_query_index %}\n            {%- if loop.last or (not loop.last and reasoning_content) %}\n                {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n            {%- else %}\n                {{- '<|im_start|>' + message.role + '\\n' + content }}\n            {%- endif %}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- endif %}\n        {%- if message.tool_calls %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if (loop.first and content) or (not loop.first) %}\n                    {{- '\\n' }}\n                {%- endif %}\n                {%- if tool_call.function %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {{- '<tool_call>\\n{\"name\": \"' }}\n                {{- tool_call.name }}\n                {{- '\", \"arguments\": ' }}\n                {%- if tool_call.arguments is string %}\n                    {{- tool_call.arguments }}\n                {%- else %}\n                    {{- tool_call.arguments | tojson }}\n                {%- endif %}\n                {{- '}\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n    {%- if enable_thinking is defined and enable_thinking is false %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- endif %}\n{%- endif %}"
            },
            "stopStrings": []
          }
        },
        {
          "key": "llm.prediction.llama.cpuThreads",
          "value": 10
        },
        {
          "key": "llm.prediction.repeatPenalty",
          "value": {
            "checked": true,
            "value": 1
          }
        },
        {
          "key": "llm.prediction.topPSampling",
          "value": {
            "checked": true,
            "value": 1
          }
        },
        {
          "key": "llm.prediction.minPSampling",
          "value": {
            "checked": true,
            "value": 0
          }
        },
        {
          "key": "llm.prediction.temperature",
          "value": 0
        },
        {
          "key": "llm.prediction.maxPredictedTokens",
          "value": {
            "checked": true,
            "value": 512
          }
        },
        {
          "key": "llm.prediction.reasoning.enableThinking",
          "value": false
        },
        {
          "key": "llm.prediction.contextOverflowPolicy",
          "value": "stopAtLimit"
        },
        {
          "key": "llm.prediction.tools",
          "value": {
            "type": "none"
          }
        }
      ]
    },
    "plugin_configs": {
      "lmstudio/rag-v1": {
        "preset": "",
        "config": {
          "fields": [
            {
              "key": "retrievalLimit",
              "value": 8
            }
          ]
        }
      }
    },
    "plugins": [
      "lmstudio/rag-v1"
    ],
    "system_prompt": ""
  },
  "load": "CPU threads 10, fullMetal, flashattention, F16 KV, parallel 1, seeded GUIreload",
  "timer": {
    "n": 40,
    "p50": 13.6965,
    "p95": 20.771,
    "max": 26.497,
    "boundary": "Native app submission to documented logger final-answer event; includes native preprocessing/retrieval/embedding/inference; excludes later title generation and automation/export."
  },
  "warmup": "Neutral READY through official SDK before document questions",
  "extraTitleOutputs": "Retained separately; no best-response selection",
  "runtimeEgressEnforcement": "unverified; no comparative privacy claim"
}