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Created August 16, 2026 02:37
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Gaiel MLX Benchmark Results (1.5B, 7B, 32B on Cluster)

Gaiel MLX Benchmark Results (Cluster: Mac mini + MacBook Air + MacBook Pro)

encredible/Gaiel-1.5B-Korean-Tuned-MLX

{
  "runs": [
    {
      "elapsed_s": 4.551236792001873,
      "output_text_preview": "A: \"a\" is a single character with a count of one. 0 characters are needed to represent this. \n\nB: \"a\" is the same as \"a a\". 0 characters are needed to represent this. \n\nC: \"abc\" is a three-character s",
      "stats": {
        "prompt_tps": 414.1766929525872,
        "generation_tps": 32.94913930360418,
        "prompt_tokens": 128,
        "generation_tokens": 128,
        "peak_memory_usage": {
          "inBytes": 268528786
        },
        "prefix_cache_hit": "none"
      },
      "power_usage": {
        "elapsed_seconds": 4.535004332981771,
        "nodes": [
          {
            "node_id": "12D3KooWJUNgypUKMeHpjs4upfnYEJLtGKJ3waHShWESaGiqhUEA",
            "samples": 6,
            "avg_sys_power": 14.36057980855306
          },
          {
            "node_id": "12D3KooWCLpSKHe3bFCUx9yAr9Jzzogt43pRDJaRvwj28aahRksL",
            "samples": 6,
            "avg_sys_power": 25.31737168629964
          }
        ],
        "total_avg_sys_power_watts": 39.6779514948527,
        "total_energy_joules": 179.93968195299752
      },
      "model_short_id": "Gaiel-1.5B-Korean-Tuned-MLX",
      "model_id": "encredible/Gaiel-1.5B-Korean-Tuned-MLX",
      "placement_sharding": "Pipeline",
      "placement_instance_meta": "MlxRing",
      "placement_nodes": 2,
      "instance_id": "444c3e5c-19ca-420a-8547-f6b5e41726b3",
      "pp_tokens": 128,
      "tg": 128,
      "repeat_index": 0,
      "concurrency": 1
    },
    {
      "elapsed_s": 8.706870416994207,
      "output_text_preview": "A: \"a\" is a single character with a count of one. 0 characters are needed to represent this. \n\nB: \"a\" is the same as \"a a\". 0 characters are needed to represent this. \n\nC: \"abc\" is the same as \"abc\" a",
      "stats": {
        "prompt_tps": 22.319364179182895,
        "generation_tps": 46.719049020643425,
        "prompt_tokens": 128,
        "generation_tokens": 128,
        "peak_memory_usage": {
          "inBytes": 1150735390
        },
        "prefix_cache_hit": "none"
      },
      "power_usage": {
        "elapsed_seconds": 8.684624083980452,
        "nodes": [
          {
            "node_id": "12D3KooWJUNgypUKMeHpjs4upfnYEJLtGKJ3waHShWESaGiqhUEA",
            "samples": 10,
            "avg_sys_power": 15.374188041687011
          },
          {
            "node_id": "12D3KooWCLpSKHe3bFCUx9yAr9Jzzogt43pRDJaRvwj28aahRksL",
            "samples": 10,
            "avg_sys_power": 15.855666351318359
          }
        ],
        "total_avg_sys_power_watts": 31.22985439300537,
        "total_energy_joules": 271.21954560069713
      },
      "model_short_id": "Gaiel-1.5B-Korean-Tuned-MLX",
      "model_id": "encredible/Gaiel-1.5B-Korean-Tuned-MLX",
      "placement_sharding": "Pipeline",
      "placement_instance_meta": "MlxRing",
      "placement_nodes": 1,
      "instance_id": "1c7e2aa4-e07a-4149-ad21-dacdc28598aa",
      "pp_tokens": 128,
      "tg": 128,
      "repeat_index": 0,
      "concurrency": 1
    }
  ],
  "cluster": {
    "nodeIdentities": {
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        "modelId": "MacBook Pro",
        "chipId": "Apple M5 Pro",
        "friendlyName": "jaegwan\uc758 MacBook\u00a0Pro",
        "osVersion": "27.0",
        "osBuildVersion": "26A5406e"
      },
      "12D3KooWJUNgypUKMeHpjs4upfnYEJLtGKJ3waHShWESaGiqhUEA": {
        "modelId": "MacBook Air",
        "chipId": "Apple M5",
        "friendlyName": "jg\u2019s MacBook Air",
        "osVersion": "27.0",
        "osBuildVersion": "26A5406e"
      },
      "12D3KooWJpJXcH49Rm9uWMynGLQK86K1X6eNdtJGz5naabGybzsd": {
        "modelId": "Mac mini",
        "chipId": "Apple M4",
        "friendlyName": "jg",
        "osVersion": "27.0",
        "osBuildVersion": "26A5406e"
      },
      "12D3KooWGUPtFrGhYGsz2dN58u226N9r9rL3Fr6uTWk1VaxDA3iu": {
        "modelId": "Mac mini",
        "chipId": "Apple M4",
        "friendlyName": "jg",
        "osVersion": "27.0",
        "osBuildVersion": "26A5406e"
      },
      "12D3KooWJHJKzoH3Msme6cSeE8yWHFXCy1xiqssabP2bHSmBAzEV": {
        "modelId": "Mac mini",
        "chipId": "Apple M4",
        "friendlyName": "jg",
        "osVersion": "27.0",
        "osBuildVersion": "26A5406e"
      },
      "12D3KooWMfoohcaHSQsKqUEgg8FN96En9Fc4FbC1paYBtqz3dVNZ": {
        "modelId": "Mac mini",
        "chipId": "Apple M4",
        "friendlyName": "jg",
        "osVersion": "27.0",
        "osBuildVersion": "26A5406e"
      },
      "12D3KooWMXG9S7a3JF2WcNnxbC1idqJ87sTkaR5iTvboisPYujJ7": {
        "modelId": "Mac mini",
        "chipId": "Apple M4",
        "friendlyName": "jg",
        "osVersion": "27.0",
        "osBuildVersion": "26A5406e"
      },
      "12D3KooWCLpSKHe3bFCUx9yAr9Jzzogt43pRDJaRvwj28aahRksL": {
        "modelId": "Mac mini",
        "chipId": "Apple M4",
        "friendlyName": "jg",
        "osVersion": "27.0",
        "osBuildVersion": "26A5406e"
      },
      "12D3KooWJ8Kq8ivV9XqHn8AoVJes3VcFABxvXu1byj7tVCtfihMN": {
        "modelId": "MacBook Pro",
        "chipId": "Apple M5 Pro",
        "friendlyName": "jaegwan\uc758 MacBook\u00a0Pro",
        "osVersion": "27.0",
        "osBuildVersion": "26A5406e"
      }
    },
    "topology": {
      "nodes": [
        "12D3KooWJUNgypUKMeHpjs4upfnYEJLtGKJ3waHShWESaGiqhUEA",
        "12D3KooWCLpSKHe3bFCUx9yAr9Jzzogt43pRDJaRvwj28aahRksL"
      ],
      "connections": {
        "12D3KooWJUNgypUKMeHpjs4upfnYEJLtGKJ3waHShWESaGiqhUEA": {
          "12D3KooWCLpSKHe3bFCUx9yAr9Jzzogt43pRDJaRvwj28aahRksL": [
            {
              "sinkMultiaddr": {
                "address": "/ip4/172.30.1.28/tcp/52415",
                "address_type": "ip4",
                "ip_address": "172.30.1.28",
                "port": 52415
              }
            },
            {
              "sinkMultiaddr": {
                "address": "/ip4/100.64.196.24/tcp/52415",
                "address_type": "ip4",
                "ip_address": "100.64.196.24",
                "port": 52415
              }
            }
          ]
        },
        "12D3KooWCLpSKHe3bFCUx9yAr9Jzzogt43pRDJaRvwj28aahRksL": {
          "12D3KooWJUNgypUKMeHpjs4upfnYEJLtGKJ3waHShWESaGiqhUEA": [
            {
              "sinkMultiaddr": {
                "address": "/ip4/172.30.1.38/tcp/52415",
                "address_type": "ip4",
                "ip_address": "172.30.1.38",
                "port": 52415
              }
            },
            {
              "sinkMultiaddr": {
                "address": "/ip4/100.75.146.88/tcp/52415",
                "address_type": "ip4",
                "ip_address": "100.75.146.88",
                "port": 52415
              }
            }
          ]
        }
      }
    },
    "nodeMemory": {
      "12D3KooWJUNgypUKMeHpjs4upfnYEJLtGKJ3waHShWESaGiqhUEA": {
        "ramTotal": {
          "inBytes": 25769803776
        },
        "ramAvailable": {
          "inBytes": 19261734912
        },
        "swapTotal": {
          "inBytes": 2147483648
        },
        "swapAvailable": {
          "inBytes": 929628160
        }
      },
      "12D3KooWCLpSKHe3bFCUx9yAr9Jzzogt43pRDJaRvwj28aahRksL": {
        "ramTotal": {
          "inBytes": 17179869184
        },
        "ramAvailable": {
          "inBytes": 2704211968
        },
        "swapTotal": {
          "inBytes": 7516192768
        },
        "swapAvailable": {
          "inBytes": 1141506048
        }
      }
    },
    "nodeSystem": {
      "12D3KooWJUNgypUKMeHpjs4upfnYEJLtGKJ3waHShWESaGiqhUEA": {
        "gpuUsage": 0.00034387255436740816,
        "temp": 41.965354919433594,
        "sysPower": 13.318540573120117,
        "pcpuUsage": 0.3066241443157196,
        "ecpuUsage": 0.16581764817237854
      },
      "12D3KooWCLpSKHe3bFCUx9yAr9Jzzogt43pRDJaRvwj28aahRksL": {
        "gpuUsage": 0.030546629801392555,
        "temp": 54.751495361328125,
        "sysPower": 21.293601989746094,
        "pcpuUsage": 0.9750326871871948,
        "ecpuUsage": 0.8870448470115662
      }
    }
  },
  "system_metrics": {
    "12D3KooWCLpSKHe3bFCUx9yAr9Jzzogt43pRDJaRvwj28aahRksL": {
      "gpuUsage": {
        "min": 0.07,
        "max": 1.0,
        "mean": 0.49,
        "samples": 10
      },
      "temp": {
        "min": 52.39,
        "max": 57.48,
        "mean": 55.04,
        "samples": 10
      },
      "sysPower": {
        "min": 13.25,
        "max": 35.47,
        "mean": 23.59,
        "samples": 10
      },
      "pcpuUsage": {
        "min": 0.03,
        "max": 0.97,
        "mean": 0.41,
        "samples": 10
      },
      "ecpuUsage": {
        "min": 0.33,
        "max": 0.72,
        "mean": 0.45,
        "samples": 10
      }
    },
    "12D3KooWJUNgypUKMeHpjs4upfnYEJLtGKJ3waHShWESaGiqhUEA": {
      "gpuUsage": {
        "min": 0.0,
        "max": 1.0,
        "mean": 0.44,
        "samples": 14
      },
      "temp": {
        "min": 41.76,
        "max": 45.03,
        "mean": 43.31,
        "samples": 14
      },
      "sysPower": {
        "min": 12.95,
        "max": 19.59,
        "mean": 15.48,
        "samples": 14
      },
      "pcpuUsage": {
        "min": 0.0,
        "max": 0.34,
        "mean": 0.18,
        "samples": 14
      },
      "ecpuUsage": {
        "min": 0.16,
        "max": 0.33,
        "mean": 0.23,
        "samples": 14
      }
    }
  }
}

encredible/Gaiel-7B-Korean-Tuned-MLX

{
  "runs": [
    {
      "elapsed_s": 12.168341624987079,
      "output_text_preview": "\u770b\u8d77\u6765\u662f\u4e00\u5217\u8fde\u7eed\u7684 \"a\" \u5b57\u7b26\uff0c\u60a8\u9700\u8981\u8f93\u5165\u5177\u4f53\u7684\u6587\u5b57\u6216\u95ee\u9898\u5417\uff1f\u8fd9\u6837\u6211\u53ef\u4ee5\u66f4\u597d\u5730\u5e2e\u52a9\u60a8\u3002\u5982\u679c\u60a8\u53ea\u662f\u6253\u9519\u4e86\uff0c\u53ef\u80fd\u60a8\u60f3\u8981\u8f93\u5165\u7684\u662f \"a\" \u540e\u9762\u8ddf\u7740\u4e00\u4e2a\u957f\u5b57\u7b26\u4e32\u6216\u8005\u6709\u7279\u6b8a\u5b57\u7b26\uff0c\u4f46\u60a8\u5fd8\u8bb0\u6362\u884c\u6216\u6709\u683c\u5f0f\u95ee\u9898\uff0c\u8bf7\u8be6\u7ec6\u4e00\u4e9b\u3002\u5982\u679c\u662f\u8fd9\u6837\uff0c\u60a8\u5c06\u5f97\u5230\u66f4\u7cbe\u786e\u7684\u5e2e\u52a9\u3002\u5982\u679c\u662f\u5c4f\u5e55\u5c55\u793a\u95ee\u9898\uff0c\u8fd9\u4e0e\u6587\u672c\u8f93\u5165\u6216\u663e\u793a\u6709\u5173\uff0c\u6b63\u5e38\u6587\u672c\u7f16\u8f91\u5668\u6216\u7f51\u9875\u6587\u672c\u6846\u4e0d\u5e94\u8be5\u663e\u793a\u4e3a\u8fde\u7eed\u7684 'a'\u3002\u5982\u679c\u662f\u7f51\u9875\u4e0a\u7684\u6587\u672c\u533a\u57df\uff0c\u8fd9\u53ef\u80fd\u4e0e CSS \u6709\u5173\uff0c\u6211\u4eec\u4e5f\u53ef\u4ee5\u6df1",
      "stats": {
        "prompt_tps": 151.40181546013054,
        "generation_tps": 11.791287936882542,
        "prompt_tokens": 128,
        "generation_tokens": 128,
        "peak_memory_usage": {
          "inBytes": 1304741344
        },
        "prefix_cache_hit": "none"
      },
      "power_usage": {
        "elapsed_seconds": 12.15040429099463,
        "nodes": [
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            "node_id": "12D3KooWJUNgypUKMeHpjs4upfnYEJLtGKJ3waHShWESaGiqhUEA",
            "samples": 14,
            "avg_sys_power": 15.332278456006732
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          {
            "node_id": "12D3KooWCLpSKHe3bFCUx9yAr9Jzzogt43pRDJaRvwj28aahRksL",
            "samples": 14,
            "avg_sys_power": 30.903824942452566
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        ],
        "total_avg_sys_power_watts": 46.2361033984593,
        "total_energy_joules": 561.7873491315112
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      "model_short_id": "Gaiel-7B-Korean-Tuned-MLX",
      "model_id": "encredible/Gaiel-7B-Korean-Tuned-MLX",
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      "placement_nodes": 2,
      "instance_id": "bf2d1d70-92b1-483d-a7c8-fef9f4379401",
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      "tg": 128,
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    {
      "elapsed_s": 13.264096040977165,
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      "stats": {
        "prompt_tps": 174.32041782610293,
        "generation_tps": 10.60784714786301,
        "prompt_tokens": 128,
        "generation_tokens": 128,
        "peak_memory_usage": {
          "inBytes": 4839130607
        },
        "prefix_cache_hit": "none"
      },
      "power_usage": {
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        "nodes": [
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            "node_id": "12D3KooWJUNgypUKMeHpjs4upfnYEJLtGKJ3waHShWESaGiqhUEA",
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          {
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            "avg_sys_power": 18.902446111043293
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        ],
        "total_avg_sys_power_watts": 34.02372048695882,
        "total_energy_joules": 450.04692971348936
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      "model_id": "encredible/Gaiel-7B-Korean-Tuned-MLX",
      "placement_sharding": "Pipeline",
      "placement_instance_meta": "MlxRing",
      "placement_nodes": 1,
      "instance_id": "c7970da9-ddc2-4332-960b-0691e0e01fd9",
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      "tg": 128,
      "repeat_index": 0,
      "concurrency": 1,
      "download_duration_s": 876.8862159999844
    }
  ],
  "cluster": {
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        "friendlyName": "jaegwan\uc758 MacBook\u00a0Pro",
        "osVersion": "27.0",
        "osBuildVersion": "26A5406e"
      },
      "12D3KooWJUNgypUKMeHpjs4upfnYEJLtGKJ3waHShWESaGiqhUEA": {
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        "osBuildVersion": "26A5406e"
      },
      "12D3KooWJpJXcH49Rm9uWMynGLQK86K1X6eNdtJGz5naabGybzsd": {
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      },
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        "osVersion": "27.0",
        "osBuildVersion": "26A5406e"
      },
      "12D3KooWJHJKzoH3Msme6cSeE8yWHFXCy1xiqssabP2bHSmBAzEV": {
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        "osBuildVersion": "26A5406e"
      },
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      },
      "12D3KooWMXG9S7a3JF2WcNnxbC1idqJ87sTkaR5iTvboisPYujJ7": {
        "modelId": "Mac mini",
        "chipId": "Apple M4",
        "friendlyName": "jg",
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        "osBuildVersion": "26A5406e"
      },
      "12D3KooWCLpSKHe3bFCUx9yAr9Jzzogt43pRDJaRvwj28aahRksL": {
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        "osBuildVersion": "26A5406e"
      },
      "12D3KooWJ8Kq8ivV9XqHn8AoVJes3VcFABxvXu1byj7tVCtfihMN": {
        "modelId": "MacBook Pro",
        "chipId": "Apple M5 Pro",
        "friendlyName": "jaegwan\uc758 MacBook\u00a0Pro",
        "osVersion": "27.0",
        "osBuildVersion": "26A5406e"
      }
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encredible/Gaiel-32B-Korean-Tuned-MLX

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encredible/Gaiel-72B-Korean-Tuned-MLX

Status: Model exceeds currently available cluster RAM limit for unquantized inference (Requires additional unified memory or 4-bit quantization).

encredible/Gaiel-110B-Korean-Tuned-MLX

Status: Model exceeds currently available cluster RAM limit for unquantized inference (Requires additional unified memory or 4-bit quantization).

encredible/Gaiel-110B-Coding-Tuned-MLX

Status: Model exceeds currently available cluster RAM limit for unquantized inference (Requires additional unified memory or 4-bit quantization).

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