docs: record Qwen MLX benchmark results
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{
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"run_id": "20260831T133636Z",
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"created_at": "2026-08-31T13:37:14.110488+00:00",
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"host": {
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"platform": "macOS-15.6-arm64-arm-64bit",
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"machine": "arm64",
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"python": "3.12.8"
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},
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"arguments": {
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"model": "mlx-community/Qwen3.8-27B-nvfp4",
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"label": "qwen3.8-27b-nvfp4",
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"warmups": 2,
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"rounds": 5,
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"max_tokens": 128,
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"seed": 42,
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"output_dir": "/Users/christianmeyer/Documents/git/lai_automatisierung/benchmarks/inference/direct-results"
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},
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"load_s": 3.066661207994912,
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"mlx_version": "0.32.0",
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"device": "Device(gpu, 0)",
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"prompts": {
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"short": "In exactly four concise bullet points, explain why database transactions are useful. Do not use a heading.",
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"medium": "You are reviewing a Laravel service that transfers money between two accounts. Explain the failure modes involving concurrency, partial writes, retries, and audit logs. Then provide a robust implementation plan. Keep the response technical and concise.",
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"code": "Write a Python 3.12 function named merge_intervals that accepts a list of integer pairs, validates each pair, merges overlapping or adjacent intervals, and returns sorted tuples. Include type hints, a short docstring, and five assert-based examples. Output only code."
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},
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"summary": {
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"runtime": "mlx-lm-direct",
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"model": "qwen3.8-27b-nvfp4",
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"requests": 5,
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"successes": 5,
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"ttft_s_mean": 0.4445558497915044,
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"ttft_s_p50": 0.48620820802170783,
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"ttft_s_p95": 0.518837732996326,
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"total_s_mean": 4.9355954667902555,
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"total_s_p50": 4.966667582979426,
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"total_s_p95": 5.034370008390397,
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"prompt_tps_mean": 107.94239735907567,
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"prompt_tps_p50": 107.53363787342614,
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"prompt_tps_p95": 135.27062378239268,
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"decode_tps_mean": 28.570950408778582,
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"peak_memory_gb": 15.479377792
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}
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}
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@@ -0,0 +1,128 @@
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[
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{
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"runtime": "mlx-lm-direct",
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"model": "qwen3.8-27b-nvfp4",
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"source": "mlx-community/Qwen3.8-27B-nvfp4",
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"phase": "warmup",
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"round": 1,
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"prompt_name": "short",
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"prompt_tokens": 20,
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"output_tokens": 128,
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"ttft_s": 0.6381363340187818,
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"total_s": 5.067599917005282,
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"decode_tps": 28.964400213729846,
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"peak_memory_gb": 15.399916034,
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"finish_reason": "length",
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"error": null
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},
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{
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"runtime": "mlx-lm-direct",
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"model": "qwen3.8-27b-nvfp4",
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"source": "mlx-community/Qwen3.8-27B-nvfp4",
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"phase": "warmup",
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"round": 2,
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"prompt_name": "medium",
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"prompt_tokens": 43,
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"output_tokens": 128,
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"finish_reason": "length",
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"error": null
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},
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{
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"runtime": "mlx-lm-direct",
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"model": "qwen3.8-27b-nvfp4",
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"source": "mlx-community/Qwen3.8-27B-nvfp4",
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"phase": "measured",
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"round": 1,
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"prompt_name": "short",
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"prompt_tokens": 20,
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"output_tokens": 128,
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},
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{
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"runtime": "mlx-lm-direct",
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"model": "qwen3.8-27b-nvfp4",
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"source": "mlx-community/Qwen3.8-27B-nvfp4",
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"phase": "measured",
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"round": 2,
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"prompt_name": "medium",
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"prompt_tokens": 43,
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},
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{
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"runtime": "mlx-lm-direct",
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"model": "qwen3.8-27b-nvfp4",
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"source": "mlx-community/Qwen3.8-27B-nvfp4",
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"phase": "measured",
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"round": 3,
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"prompt_name": "code",
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"output_tokens": 128,
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"finish_reason": "length",
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},
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{
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"runtime": "mlx-lm-direct",
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"model": "qwen3.8-27b-nvfp4",
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"source": "mlx-community/Qwen3.8-27B-nvfp4",
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"phase": "measured",
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"round": 4,
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"prompt_name": "short",
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"prompt_tokens": 20,
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"output_tokens": 128,
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"ttft_s": 0.36031387496041134,
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"finish_reason": "length",
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"error": null
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},
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{
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"runtime": "mlx-lm-direct",
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"model": "qwen3.8-27b-nvfp4",
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"source": "mlx-community/Qwen3.8-27B-nvfp4",
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"phase": "measured",
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"round": 5,
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"prompt_name": "medium",
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"prompt_tokens": 43,
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"output_tokens": 128,
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"finish_reason": "length",
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"error": null
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}
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]
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@@ -0,0 +1,22 @@
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{
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"runtime": "mlx-lm-direct",
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"model": "qwen3.8-27b-nvfp4",
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"requests": 5,
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"successes": 5,
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"ttft_s_mean": 0.4445558497915044,
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"ttft_s_p50": 0.48620820802170783,
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"ttft_s_p95": 0.518837732996326,
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"total_s_mean": 4.9355954667902555,
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"total_s_p50": 4.966667582979426,
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"total_s_p95": 5.034370008390397,
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"prompt_tps_mean": 107.94239735907567,
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"request_tps_p95": 26.64316963019791,
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"peak_memory_gb": 15.479377792
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}
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