Upload batch 7/20 (100 files)

.gitattributes

@@ -68,3 +68,5 @@ outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/nocap/r01/ll
 outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/nocap/r01/llm_llama3.1-8b_gpu0_ds_alpaca_fixed_maxtok128_nocap/samples/gpu_samples.csv filter=lfs diff=lfs merge=lfs -text
 outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/nocap/r02/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap/samples/gpu_samples.csv filter=lfs diff=lfs merge=lfs -text
 outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/nocap/r02/llm_mistral-7b_gpu0_ds_alpaca_fixed_maxtok128_nocap/samples/gpu_samples.csv filter=lfs diff=lfs merge=lfs -text
+outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/nocap/r02/llm_llama3.1-8b_gpu0_ds_alpaca_fixed_maxtok128_nocap/samples/gpu_samples.csv filter=lfs diff=lfs merge=lfs -text
+outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/samples/gpu_samples.csv filter=lfs diff=lfs merge=lfs -text

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/clk1500/r01/llm_llama3.1-8b_gpu0_ds_alpaca_fixed_maxtok128_nocap_clk1500MHz_ckpt20/config.json

@@ -0,0 +1,71 @@
+{
+  "sampling_interval_ms": 10.0,
+  "idle_pre_duration": 30.0,
+  "idle_mid_duration": 30.0,
+  "idle_post_duration": 30.0,
+  "train_epochs": 3,
+  "train_max_steps": null,
+  "batch_size": 4,
+  "gradient_accumulation_steps": 4,
+  "learning_rate": 0.0002,
+  "lora_r": 16,
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "max_seq_length": 512,
+  "train_max_seq_length": null,
+  "use_4bit": false,
+  "use_bf16": true,
+  "validation_split": "train[2000:2500]",
+  "validation_batch_size": 8,
+  "validation_max_batches": null,
+  "checkpoint_every_steps": 20,
+  "iteration_log_interval": 10,
+  "checkpoint_dir": null,
+  "inference_total_requests": 100000,
+  "inference_interval_sec": 0.2,
+  "inference_pattern": "fixed",
+  "inference_variable_min": 2.0,
+  "inference_variable_max": 10.0,
+  "inference_burst_count": 3,
+  "inference_burst_gap": 1.0,
+  "inference_burst_pause": 15.0,
+  "inference_batch_size": 1,
+  "concurrent_batch_window_ms": 50.0,
+  "concurrent_base_rate_rps": 0.2,
+  "concurrent_burst_rate_rps": 3.0,
+  "concurrent_burst_start_s": 20.0,
+  "concurrent_burst_duration_s": 30.0,
+  "gen_max_new_tokens": 128,
+  "gen_temperature": 0.0,
+  "gen_do_sample": false,
+  "output_preview_chars": 80,
+  "save_full_outputs": true,
+  "full_output_max_chars": 2000,
+  "prompt_shuffle": false,
+  "seed": 42,
+  "inference_duration_sec": 600.0,
+  "prompt_set": "alpaca",
+  "strict_datasets": true,
+  "clock_lock_gpu": 1500,
+  "clock_lock_mem": null,
+  "ramp_enabled": false,
+  "ramp_start_w": null,
+  "ramp_end_w": null,
+  "ramp_steps": 5,
+  "ramp_step_duration": 3.0,
+  "cuda_index": 0,
+  "gpu_physical_index": 0,
+  "device": "cuda:0",
+  "skip_training": false,
+  "skip_inference": false,
+  "model": "llama3.1-8b",
+  "power_cap": null,
+  "gpu_info": {
+    "gpu_name": "NVIDIA RTX PRO 6000 Blackwell Workstation Edition",
+    "tdp_w": 600,
+    "memory_total_mb": 97887,
+    "driver_version": "580.82.07",
+    "cuda_version": "13.0"
+  },
+  "experiment_timestamp": "2026-02-19T18:45:41.867871"
+}

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/clk1500/r01/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap_clk1500MHz_ckpt20/config.json

@@ -0,0 +1,71 @@
+{
+  "sampling_interval_ms": 10.0,
+  "idle_pre_duration": 30.0,
+  "idle_mid_duration": 30.0,
+  "idle_post_duration": 30.0,
+  "train_epochs": 3,
+  "train_max_steps": null,
+  "batch_size": 4,
+  "gradient_accumulation_steps": 4,
+  "learning_rate": 0.0002,
+  "lora_r": 16,
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "max_seq_length": 512,
+  "train_max_seq_length": null,
+  "use_4bit": false,
+  "use_bf16": true,
+  "validation_split": "train[2000:2500]",
+  "validation_batch_size": 8,
+  "validation_max_batches": null,
+  "checkpoint_every_steps": 20,
+  "iteration_log_interval": 10,
+  "checkpoint_dir": null,
+  "inference_total_requests": 100000,
+  "inference_interval_sec": 0.2,
+  "inference_pattern": "fixed",
+  "inference_variable_min": 2.0,
+  "inference_variable_max": 10.0,
+  "inference_burst_count": 3,
+  "inference_burst_gap": 1.0,
+  "inference_burst_pause": 15.0,
+  "inference_batch_size": 1,
+  "concurrent_batch_window_ms": 50.0,
+  "concurrent_base_rate_rps": 0.2,
+  "concurrent_burst_rate_rps": 3.0,
+  "concurrent_burst_start_s": 20.0,
+  "concurrent_burst_duration_s": 30.0,
+  "gen_max_new_tokens": 128,
+  "gen_temperature": 0.0,
+  "gen_do_sample": false,
+  "output_preview_chars": 80,
+  "save_full_outputs": true,
+  "full_output_max_chars": 2000,
+  "prompt_shuffle": false,
+  "seed": 42,
+  "inference_duration_sec": 600.0,
+  "prompt_set": "alpaca",
+  "strict_datasets": true,
+  "clock_lock_gpu": 1500,
+  "clock_lock_mem": null,
+  "ramp_enabled": false,
+  "ramp_start_w": null,
+  "ramp_end_w": null,
+  "ramp_steps": 5,
+  "ramp_step_duration": 3.0,
+  "cuda_index": 0,
+  "gpu_physical_index": 0,
+  "device": "cuda:0",
+  "skip_training": false,
+  "skip_inference": false,
+  "model": "qwen3-4b",
+  "power_cap": null,
+  "gpu_info": {
+    "gpu_name": "NVIDIA RTX PRO 6000 Blackwell Workstation Edition",
+    "tdp_w": 600,
+    "memory_total_mb": 97887,
+    "driver_version": "580.82.07",
+    "cuda_version": "13.0"
+  },
+  "experiment_timestamp": "2026-02-19T17:52:48.806511"
+}

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/clk1500/r01/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap_clk1500MHz_ckpt20/phase_transitions.json

@@ -0,0 +1,3260 @@
+[
+  {
+    "timestamp": "2026-02-19T17:29:47.709098",
+    "timestamp_ms": 1771489787709.11,
+    "phase": "idle_pre",
+    "sub_phase": ""
+  },
+  {
+    "timestamp": "2026-02-19T17:30:17.709224",
+    "timestamp_ms": 1771489817709.2646,
+    "phase": "train",
+    "sub_phase": "start"
+  },
+  {
+    "timestamp": "2026-02-19T17:30:24.491947",
+    "timestamp_ms": 1771489824491.9631,
+    "phase": "train",
+    "sub_phase": "epoch_1_start"
+  },
+  {
+    "timestamp": "2026-02-19T17:30:40.998201",
+    "timestamp_ms": 1771489840998.2039,
+    "phase": "iteration",
+    "sub_phase": "step_10"
+  },
+  {
+    "timestamp": "2026-02-19T17:30:57.177325",
+    "timestamp_ms": 1771489857177.3286,
+    "phase": "iteration",
+    "sub_phase": "step_20"
+  },
+  {
+    "timestamp": "2026-02-19T17:30:57.177393",
+    "timestamp_ms": 1771489857177.3945,
+    "phase": "checkpoint",
+    "sub_phase": "step_20"
+  },
+  {
+    "timestamp": "2026-02-19T17:31:14.000418",
+    "timestamp_ms": 1771489874000.4211,
+    "phase": "iteration",
+    "sub_phase": "step_30"
+  },
+  {
+    "timestamp": "2026-02-19T17:31:30.167350",
+    "timestamp_ms": 1771489890167.3528,
+    "phase": "iteration",
+    "sub_phase": "step_40"
+  },
+  {
+    "timestamp": "2026-02-19T17:31:30.167419",
+    "timestamp_ms": 1771489890167.421,
+    "phase": "checkpoint",
+    "sub_phase": "step_40"
+  },
+  {
+    "timestamp": "2026-02-19T17:31:46.965015",
+    "timestamp_ms": 1771489906965.018,
+    "phase": "iteration",
+    "sub_phase": "step_50"
+  },
+  {
+    "timestamp": "2026-02-19T17:32:03.132990",
+    "timestamp_ms": 1771489923132.9924,
+    "phase": "iteration",
+    "sub_phase": "step_60"
+  },
+  {
+    "timestamp": "2026-02-19T17:32:03.133058",
+    "timestamp_ms": 1771489923133.0608,
+    "phase": "checkpoint",
+    "sub_phase": "step_60"
+  },
+  {
+    "timestamp": "2026-02-19T17:32:19.929900",
+    "timestamp_ms": 1771489939929.9033,
+    "phase": "iteration",
+    "sub_phase": "step_70"
+  },
+  {
+    "timestamp": "2026-02-19T17:32:36.106266",
+    "timestamp_ms": 1771489956106.2676,
+    "phase": "iteration",
+    "sub_phase": "step_80"
+  },
+  {
+    "timestamp": "2026-02-19T17:32:36.106324",
+    "timestamp_ms": 1771489956106.3262,
+    "phase": "checkpoint",
+    "sub_phase": "step_80"
+  },
+  {
+    "timestamp": "2026-02-19T17:32:52.918667",
+    "timestamp_ms": 1771489972918.6692,
+    "phase": "iteration",
+    "sub_phase": "step_90"
+  },
+  {
+    "timestamp": "2026-02-19T17:33:09.094252",
+    "timestamp_ms": 1771489989094.2551,
+    "phase": "iteration",
+    "sub_phase": "step_100"
+  },
+  {
+    "timestamp": "2026-02-19T17:33:09.094329",
+    "timestamp_ms": 1771489989094.331,
+    "phase": "checkpoint",
+    "sub_phase": "step_100"
+  },
+  {
+    "timestamp": "2026-02-19T17:33:25.927908",
+    "timestamp_ms": 1771490005927.9114,
+    "phase": "iteration",
+    "sub_phase": "step_110"
+  },
+  {
+    "timestamp": "2026-02-19T17:33:42.099508",
+    "timestamp_ms": 1771490022099.5115,
+    "phase": "iteration",
+    "sub_phase": "step_120"
+  },
+  {
+    "timestamp": "2026-02-19T17:33:42.099574",
+    "timestamp_ms": 1771490022099.576,
+    "phase": "checkpoint",
+    "sub_phase": "step_120"
+  },
+  {
+    "timestamp": "2026-02-19T17:33:50.824233",
+    "timestamp_ms": 1771490030824.2383,
+    "phase": "validation",
+    "sub_phase": "epoch_1"
+  },
+  {
+    "timestamp": "2026-02-19T17:34:10.308278",
+    "timestamp_ms": 1771490050308.284,
+    "phase": "train",
+    "sub_phase": "epoch_2_start"
+  },
+  {
+    "timestamp": "2026-02-19T17:34:18.391853",
+    "timestamp_ms": 1771490058391.8562,
+    "phase": "iteration",
+    "sub_phase": "step_130"
+  },
+  {
+    "timestamp": "2026-02-19T17:34:34.563706",
+    "timestamp_ms": 1771490074563.7097,
+    "phase": "iteration",
+    "sub_phase": "step_140"
+  },
+  {
+    "timestamp": "2026-02-19T17:34:34.563783",
+    "timestamp_ms": 1771490074563.7854,
+    "phase": "checkpoint",
+    "sub_phase": "step_140"
+  },
+  {
+    "timestamp": "2026-02-19T17:34:51.382114",
+    "timestamp_ms": 1771490091382.117,
+    "phase": "iteration",
+    "sub_phase": "step_150"
+  },
+  {
+    "timestamp": "2026-02-19T17:35:07.557234",
+    "timestamp_ms": 1771490107557.237,
+    "phase": "iteration",
+    "sub_phase": "step_160"
+  },
+  {
+    "timestamp": "2026-02-19T17:35:07.557309",
+    "timestamp_ms": 1771490107557.3118,
+    "phase": "checkpoint",
+    "sub_phase": "step_160"
+  },
+  {
+    "timestamp": "2026-02-19T17:35:24.527237",
+    "timestamp_ms": 1771490124527.24,
+    "phase": "iteration",
+    "sub_phase": "step_170"
+  },
+  {
+    "timestamp": "2026-02-19T17:35:40.700123",
+    "timestamp_ms": 1771490140700.1252,
+    "phase": "iteration",
+    "sub_phase": "step_180"
+  },
+  {
+    "timestamp": "2026-02-19T17:35:40.700194",
+    "timestamp_ms": 1771490140700.1963,
+    "phase": "checkpoint",
+    "sub_phase": "step_180"
+  },
+  {
+    "timestamp": "2026-02-19T17:35:57.508109",
+    "timestamp_ms": 1771490157508.1116,
+    "phase": "iteration",
+    "sub_phase": "step_190"
+  },
+  {
+    "timestamp": "2026-02-19T17:36:13.676814",
+    "timestamp_ms": 1771490173676.8171,
+    "phase": "iteration",
+    "sub_phase": "step_200"
+  },
+  {
+    "timestamp": "2026-02-19T17:36:13.676886",
+    "timestamp_ms": 1771490173676.888,
+    "phase": "checkpoint",
+    "sub_phase": "step_200"
+  },
+  {
+    "timestamp": "2026-02-19T17:36:30.484162",
+    "timestamp_ms": 1771490190484.1655,
+    "phase": "iteration",
+    "sub_phase": "step_210"
+  },
+  {
+    "timestamp": "2026-02-19T17:36:46.653324",
+    "timestamp_ms": 1771490206653.3267,
+    "phase": "iteration",
+    "sub_phase": "step_220"
+  },
+  {
+    "timestamp": "2026-02-19T17:36:46.653401",
+    "timestamp_ms": 1771490206653.404,
+    "phase": "checkpoint",
+    "sub_phase": "step_220"
+  },
+  {
+    "timestamp": "2026-02-19T17:37:03.447374",
+    "timestamp_ms": 1771490223447.3772,
+    "phase": "iteration",
+    "sub_phase": "step_230"
+  },
+  {
+    "timestamp": "2026-02-19T17:37:19.619976",
+    "timestamp_ms": 1771490239619.979,
+    "phase": "iteration",
+    "sub_phase": "step_240"
+  },
+  {
+    "timestamp": "2026-02-19T17:37:19.620058",
+    "timestamp_ms": 1771490239620.0608,
+    "phase": "checkpoint",
+    "sub_phase": "step_240"
+  },
+  {
+    "timestamp": "2026-02-19T17:37:36.425223",
+    "timestamp_ms": 1771490256425.226,
+    "phase": "iteration",
+    "sub_phase": "step_250"
+  },
+  {
+    "timestamp": "2026-02-19T17:37:36.425594",
+    "timestamp_ms": 1771490256425.5974,
+    "phase": "validation",
+    "sub_phase": "epoch_2"
+  },
+  {
+    "timestamp": "2026-02-19T17:37:55.886767",
+    "timestamp_ms": 1771490275886.774,
+    "phase": "train",
+    "sub_phase": "epoch_3_start"
+  },
+  {
+    "timestamp": "2026-02-19T17:38:12.062435",
+    "timestamp_ms": 1771490292062.4373,
+    "phase": "iteration",
+    "sub_phase": "step_260"
+  },
+  {
+    "timestamp": "2026-02-19T17:38:12.062503",
+    "timestamp_ms": 1771490292062.5054,
+    "phase": "checkpoint",
+    "sub_phase": "step_260"
+  },
+  {
+    "timestamp": "2026-02-19T17:38:28.893941",
+    "timestamp_ms": 1771490308893.944,
+    "phase": "iteration",
+    "sub_phase": "step_270"
+  },
+  {
+    "timestamp": "2026-02-19T17:38:45.068837",
+    "timestamp_ms": 1771490325068.8403,
+    "phase": "iteration",
+    "sub_phase": "step_280"
+  },
+  {
+    "timestamp": "2026-02-19T17:38:45.068919",
+    "timestamp_ms": 1771490325068.9219,
+    "phase": "checkpoint",
+    "sub_phase": "step_280"
+  },
+  {
+    "timestamp": "2026-02-19T17:39:01.894991",
+    "timestamp_ms": 1771490341894.9941,
+    "phase": "iteration",
+    "sub_phase": "step_290"
+  },
+  {
+    "timestamp": "2026-02-19T17:39:18.066834",
+    "timestamp_ms": 1771490358066.8367,
+    "phase": "iteration",
+    "sub_phase": "step_300"
+  },
+  {
+    "timestamp": "2026-02-19T17:39:18.066899",
+    "timestamp_ms": 1771490358066.9006,
+    "phase": "checkpoint",
+    "sub_phase": "step_300"
+  },
+  {
+    "timestamp": "2026-02-19T17:39:34.861204",
+    "timestamp_ms": 1771490374861.207,
+    "phase": "iteration",
+    "sub_phase": "step_310"
+  },
+  {
+    "timestamp": "2026-02-19T17:39:51.026805",
+    "timestamp_ms": 1771490391026.8074,
+    "phase": "iteration",
+    "sub_phase": "step_320"
+  },
+  {
+    "timestamp": "2026-02-19T17:39:51.026868",
+    "timestamp_ms": 1771490391026.87,
+    "phase": "checkpoint",
+    "sub_phase": "step_320"
+  },
+  {
+    "timestamp": "2026-02-19T17:40:07.818298",
+    "timestamp_ms": 1771490407818.3008,
+    "phase": "iteration",
+    "sub_phase": "step_330"
+  },
+  {
+    "timestamp": "2026-02-19T17:40:23.984853",
+    "timestamp_ms": 1771490423984.856,
+    "phase": "iteration",
+    "sub_phase": "step_340"
+  },
+  {
+    "timestamp": "2026-02-19T17:40:23.984926",
+    "timestamp_ms": 1771490423984.929,
+    "phase": "checkpoint",
+    "sub_phase": "step_340"
+  },
+  {
+    "timestamp": "2026-02-19T17:40:42.000744",
+    "timestamp_ms": 1771490442000.7463,
+    "phase": "iteration",
+    "sub_phase": "step_350"
+  },
+  {
+    "timestamp": "2026-02-19T17:40:58.167532",
+    "timestamp_ms": 1771490458167.5347,
+    "phase": "iteration",
+    "sub_phase": "step_360"
+  },
+  {
+    "timestamp": "2026-02-19T17:40:58.167723",
+    "timestamp_ms": 1771490458167.7253,
+    "phase": "checkpoint",
+    "sub_phase": "step_360"
+  },
+  {
+    "timestamp": "2026-02-19T17:41:14.978783",
+    "timestamp_ms": 1771490474978.7864,
+    "phase": "iteration",
+    "sub_phase": "step_370"
+  },
+  {
+    "timestamp": "2026-02-19T17:41:23.065145",
+    "timestamp_ms": 1771490483065.1492,
+    "phase": "validation",
+    "sub_phase": "epoch_3"
+  },
+  {
+    "timestamp": "2026-02-19T17:41:42.540326",
+    "timestamp_ms": 1771490502540.3313,
+    "phase": "train",
+    "sub_phase": "finished"
+  },
+  {
+    "timestamp": "2026-02-19T17:41:42.549780",
+    "timestamp_ms": 1771490502549.7864,
+    "phase": "idle_mid",
+    "sub_phase": ""
+  },
+  {
+    "timestamp": "2026-02-19T17:42:12.549923",
+    "timestamp_ms": 1771490532549.9604,
+    "phase": "inference",
+    "sub_phase": "start"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:16.268741",
+    "timestamp_ms": 1771490536268.7598,
+    "phase": "inference",
+    "sub_phase": "session_start_pattern_fixed"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:16.277121",
+    "timestamp_ms": 1771490536277.1326,
+    "phase": "inference",
+    "sub_phase": "req_0_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:16.366236",
+    "timestamp_ms": 1771490536366.2446,
+    "phase": "inference",
+    "sub_phase": "req_0_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:19.943302",
+    "timestamp_ms": 1771490539943.3115,
+    "phase": "inference",
+    "sub_phase": "req_0_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:20.144563",
+    "timestamp_ms": 1771490540144.591,
+    "phase": "inference",
+    "sub_phase": "req_1_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:20.183490",
+    "timestamp_ms": 1771490540183.497,
+    "phase": "inference",
+    "sub_phase": "req_1_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:23.748016",
+    "timestamp_ms": 1771490543748.0256,
+    "phase": "inference",
+    "sub_phase": "req_1_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:23.949256",
+    "timestamp_ms": 1771490543949.2844,
+    "phase": "inference",
+    "sub_phase": "req_2_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:23.988305",
+    "timestamp_ms": 1771490543988.314,
+    "phase": "inference",
+    "sub_phase": "req_2_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:27.531036",
+    "timestamp_ms": 1771490547531.0466,
+    "phase": "inference",
+    "sub_phase": "req_2_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:27.732250",
+    "timestamp_ms": 1771490547732.2786,
+    "phase": "inference",
+    "sub_phase": "req_3_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:27.770398",
+    "timestamp_ms": 1771490547770.4065,
+    "phase": "inference",
+    "sub_phase": "req_3_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:31.375945",
+    "timestamp_ms": 1771490551375.9553,
+    "phase": "inference",
+    "sub_phase": "req_3_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:31.577262",
+    "timestamp_ms": 1771490551577.2903,
+    "phase": "inference",
+    "sub_phase": "req_4_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:31.614842",
+    "timestamp_ms": 1771490551614.8496,
+    "phase": "inference",
+    "sub_phase": "req_4_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:35.131804",
+    "timestamp_ms": 1771490555131.8125,
+    "phase": "inference",
+    "sub_phase": "req_4_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:35.333056",
+    "timestamp_ms": 1771490555333.084,
+    "phase": "inference",
+    "sub_phase": "req_5_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:35.368213",
+    "timestamp_ms": 1771490555368.2202,
+    "phase": "inference",
+    "sub_phase": "req_5_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:38.895740",
+    "timestamp_ms": 1771490558895.7502,
+    "phase": "inference",
+    "sub_phase": "req_5_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:39.096999",
+    "timestamp_ms": 1771490559097.0276,
+    "phase": "inference",
+    "sub_phase": "req_6_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:39.131426",
+    "timestamp_ms": 1771490559131.434,
+    "phase": "inference",
+    "sub_phase": "req_6_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:42.623858",
+    "timestamp_ms": 1771490562623.8667,
+    "phase": "inference",
+    "sub_phase": "req_6_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:42.825202",
+    "timestamp_ms": 1771490562825.2305,
+    "phase": "inference",
+    "sub_phase": "req_7_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:42.857255",
+    "timestamp_ms": 1771490562857.263,
+    "phase": "inference",
+    "sub_phase": "req_7_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:46.389725",
+    "timestamp_ms": 1771490566389.735,
+    "phase": "inference",
+    "sub_phase": "req_7_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:46.590962",
+    "timestamp_ms": 1771490566590.991,
+    "phase": "inference",
+    "sub_phase": "req_8_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:46.629695",
+    "timestamp_ms": 1771490566629.7026,
+    "phase": "inference",
+    "sub_phase": "req_8_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:50.145628",
+    "timestamp_ms": 1771490570145.637,
+    "phase": "inference",
+    "sub_phase": "req_8_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:50.346991",
+    "timestamp_ms": 1771490570347.0186,
+    "phase": "inference",
+    "sub_phase": "req_9_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:50.380484",
+    "timestamp_ms": 1771490570380.4912,
+    "phase": "inference",
+    "sub_phase": "req_9_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:53.942655",
+    "timestamp_ms": 1771490573942.6648,
+    "phase": "inference",
+    "sub_phase": "req_9_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:54.143813",
+    "timestamp_ms": 1771490574143.8547,
+    "phase": "inference",
+    "sub_phase": "req_10_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:54.178829",
+    "timestamp_ms": 1771490574178.8376,
+    "phase": "inference",
+    "sub_phase": "req_10_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:57.679543",
+    "timestamp_ms": 1771490577679.5518,
+    "phase": "inference",
+    "sub_phase": "req_10_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:57.880641",
+    "timestamp_ms": 1771490577880.669,
+    "phase": "inference",
+    "sub_phase": "req_11_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:42:57.918586",
+    "timestamp_ms": 1771490577918.594,
+    "phase": "inference",
+    "sub_phase": "req_11_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:01.460647",
+    "timestamp_ms": 1771490581460.657,
+    "phase": "inference",
+    "sub_phase": "req_11_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:01.661950",
+    "timestamp_ms": 1771490581661.979,
+    "phase": "inference",
+    "sub_phase": "req_12_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:01.700992",
+    "timestamp_ms": 1771490581701.0,
+    "phase": "inference",
+    "sub_phase": "req_12_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:05.240101",
+    "timestamp_ms": 1771490585240.1104,
+    "phase": "inference",
+    "sub_phase": "req_12_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:05.441294",
+    "timestamp_ms": 1771490585441.3213,
+    "phase": "inference",
+    "sub_phase": "req_13_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:05.479634",
+    "timestamp_ms": 1771490585479.642,
+    "phase": "inference",
+    "sub_phase": "req_13_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:09.050949",
+    "timestamp_ms": 1771490589050.9592,
+    "phase": "inference",
+    "sub_phase": "req_13_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:09.252286",
+    "timestamp_ms": 1771490589252.3145,
+    "phase": "inference",
+    "sub_phase": "req_14_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:09.287103",
+    "timestamp_ms": 1771490589287.1118,
+    "phase": "inference",
+    "sub_phase": "req_14_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:12.861662",
+    "timestamp_ms": 1771490592861.6711,
+    "phase": "inference",
+    "sub_phase": "req_14_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:13.062948",
+    "timestamp_ms": 1771490593062.9763,
+    "phase": "inference",
+    "sub_phase": "req_15_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:13.098843",
+    "timestamp_ms": 1771490593098.8518,
+    "phase": "inference",
+    "sub_phase": "req_15_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:16.690961",
+    "timestamp_ms": 1771490596690.9714,
+    "phase": "inference",
+    "sub_phase": "req_15_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:16.892180",
+    "timestamp_ms": 1771490596892.2083,
+    "phase": "inference",
+    "sub_phase": "req_16_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:16.930206",
+    "timestamp_ms": 1771490596930.2146,
+    "phase": "inference",
+    "sub_phase": "req_16_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:20.493119",
+    "timestamp_ms": 1771490600493.13,
+    "phase": "inference",
+    "sub_phase": "req_16_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:20.694698",
+    "timestamp_ms": 1771490600694.7266,
+    "phase": "inference",
+    "sub_phase": "req_17_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:20.728855",
+    "timestamp_ms": 1771490600728.8633,
+    "phase": "inference",
+    "sub_phase": "req_17_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:24.316057",
+    "timestamp_ms": 1771490604316.066,
+    "phase": "inference",
+    "sub_phase": "req_17_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:24.517293",
+    "timestamp_ms": 1771490604517.3215,
+    "phase": "inference",
+    "sub_phase": "req_18_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:24.554064",
+    "timestamp_ms": 1771490604554.072,
+    "phase": "inference",
+    "sub_phase": "req_18_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:28.126297",
+    "timestamp_ms": 1771490608126.3074,
+    "phase": "inference",
+    "sub_phase": "req_18_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:28.327530",
+    "timestamp_ms": 1771490608327.5579,
+    "phase": "inference",
+    "sub_phase": "req_19_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:28.363644",
+    "timestamp_ms": 1771490608363.6526,
+    "phase": "inference",
+    "sub_phase": "req_19_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:31.949494",
+    "timestamp_ms": 1771490611949.5027,
+    "phase": "inference",
+    "sub_phase": "req_19_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:32.150625",
+    "timestamp_ms": 1771490612150.6526,
+    "phase": "inference",
+    "sub_phase": "req_20_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:32.185180",
+    "timestamp_ms": 1771490612185.188,
+    "phase": "inference",
+    "sub_phase": "req_20_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:35.716794",
+    "timestamp_ms": 1771490615716.8032,
+    "phase": "inference",
+    "sub_phase": "req_20_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:35.918047",
+    "timestamp_ms": 1771490615918.0745,
+    "phase": "inference",
+    "sub_phase": "req_21_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:35.954650",
+    "timestamp_ms": 1771490615954.6582,
+    "phase": "inference",
+    "sub_phase": "req_21_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:39.507527",
+    "timestamp_ms": 1771490619507.5376,
+    "phase": "inference",
+    "sub_phase": "req_21_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:39.708718",
+    "timestamp_ms": 1771490619708.7463,
+    "phase": "inference",
+    "sub_phase": "req_22_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:39.746753",
+    "timestamp_ms": 1771490619746.7615,
+    "phase": "inference",
+    "sub_phase": "req_22_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:43.299724",
+    "timestamp_ms": 1771490623299.7322,
+    "phase": "inference",
+    "sub_phase": "req_22_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:43.501097",
+    "timestamp_ms": 1771490623501.127,
+    "phase": "inference",
+    "sub_phase": "req_23_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:43.540743",
+    "timestamp_ms": 1771490623540.7522,
+    "phase": "inference",
+    "sub_phase": "req_23_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:47.129128",
+    "timestamp_ms": 1771490627129.1384,
+    "phase": "inference",
+    "sub_phase": "req_23_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:47.330522",
+    "timestamp_ms": 1771490627330.5505,
+    "phase": "inference",
+    "sub_phase": "req_24_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:47.368075",
+    "timestamp_ms": 1771490627368.0837,
+    "phase": "inference",
+    "sub_phase": "req_24_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:50.916045",
+    "timestamp_ms": 1771490630916.0542,
+    "phase": "inference",
+    "sub_phase": "req_24_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:51.117245",
+    "timestamp_ms": 1771490631117.2734,
+    "phase": "inference",
+    "sub_phase": "req_25_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:51.155237",
+    "timestamp_ms": 1771490631155.2456,
+    "phase": "inference",
+    "sub_phase": "req_25_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:54.725960",
+    "timestamp_ms": 1771490634725.9692,
+    "phase": "inference",
+    "sub_phase": "req_25_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:54.927200",
+    "timestamp_ms": 1771490634927.2295,
+    "phase": "inference",
+    "sub_phase": "req_26_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:54.965551",
+    "timestamp_ms": 1771490634965.5593,
+    "phase": "inference",
+    "sub_phase": "req_26_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:58.532246",
+    "timestamp_ms": 1771490638532.2559,
+    "phase": "inference",
+    "sub_phase": "req_26_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:58.733485",
+    "timestamp_ms": 1771490638733.514,
+    "phase": "inference",
+    "sub_phase": "req_27_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:43:58.771901",
+    "timestamp_ms": 1771490638771.9092,
+    "phase": "inference",
+    "sub_phase": "req_27_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:02.408875",
+    "timestamp_ms": 1771490642408.8872,
+    "phase": "inference",
+    "sub_phase": "req_27_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:02.610176",
+    "timestamp_ms": 1771490642610.2048,
+    "phase": "inference",
+    "sub_phase": "req_28_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:02.648531",
+    "timestamp_ms": 1771490642648.539,
+    "phase": "inference",
+    "sub_phase": "req_28_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:06.240768",
+    "timestamp_ms": 1771490646240.778,
+    "phase": "inference",
+    "sub_phase": "req_28_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:06.442082",
+    "timestamp_ms": 1771490646442.111,
+    "phase": "inference",
+    "sub_phase": "req_29_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:06.482771",
+    "timestamp_ms": 1771490646482.7805,
+    "phase": "inference",
+    "sub_phase": "req_29_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:10.062533",
+    "timestamp_ms": 1771490650062.543,
+    "phase": "inference",
+    "sub_phase": "req_29_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:10.263707",
+    "timestamp_ms": 1771490650263.735,
+    "phase": "inference",
+    "sub_phase": "req_30_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:10.299404",
+    "timestamp_ms": 1771490650299.4126,
+    "phase": "inference",
+    "sub_phase": "req_30_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:13.887930",
+    "timestamp_ms": 1771490653887.939,
+    "phase": "inference",
+    "sub_phase": "req_30_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:14.089314",
+    "timestamp_ms": 1771490654089.3416,
+    "phase": "inference",
+    "sub_phase": "req_31_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:14.122997",
+    "timestamp_ms": 1771490654123.0044,
+    "phase": "inference",
+    "sub_phase": "req_31_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:17.721446",
+    "timestamp_ms": 1771490657721.4604,
+    "phase": "inference",
+    "sub_phase": "req_31_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:17.922689",
+    "timestamp_ms": 1771490657922.7178,
+    "phase": "inference",
+    "sub_phase": "req_32_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:17.962890",
+    "timestamp_ms": 1771490657962.8992,
+    "phase": "inference",
+    "sub_phase": "req_32_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:21.521093",
+    "timestamp_ms": 1771490661521.1025,
+    "phase": "inference",
+    "sub_phase": "req_32_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:21.722267",
+    "timestamp_ms": 1771490661722.2954,
+    "phase": "inference",
+    "sub_phase": "req_33_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:21.760182",
+    "timestamp_ms": 1771490661760.1907,
+    "phase": "inference",
+    "sub_phase": "req_33_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:25.364283",
+    "timestamp_ms": 1771490665364.2988,
+    "phase": "inference",
+    "sub_phase": "req_33_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:25.565559",
+    "timestamp_ms": 1771490665565.588,
+    "phase": "inference",
+    "sub_phase": "req_34_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:25.601557",
+    "timestamp_ms": 1771490665601.565,
+    "phase": "inference",
+    "sub_phase": "req_34_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:29.188584",
+    "timestamp_ms": 1771490669188.5945,
+    "phase": "inference",
+    "sub_phase": "req_34_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:29.390008",
+    "timestamp_ms": 1771490669390.0376,
+    "phase": "inference",
+    "sub_phase": "req_35_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:29.424895",
+    "timestamp_ms": 1771490669424.904,
+    "phase": "inference",
+    "sub_phase": "req_35_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:32.995223",
+    "timestamp_ms": 1771490672995.2314,
+    "phase": "inference",
+    "sub_phase": "req_35_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:33.196691",
+    "timestamp_ms": 1771490673196.7195,
+    "phase": "inference",
+    "sub_phase": "req_36_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:33.229782",
+    "timestamp_ms": 1771490673229.7898,
+    "phase": "inference",
+    "sub_phase": "req_36_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:36.789442",
+    "timestamp_ms": 1771490676789.4507,
+    "phase": "inference",
+    "sub_phase": "req_36_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:36.990784",
+    "timestamp_ms": 1771490676990.812,
+    "phase": "inference",
+    "sub_phase": "req_37_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:37.028378",
+    "timestamp_ms": 1771490677028.3862,
+    "phase": "inference",
+    "sub_phase": "req_37_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:40.628260",
+    "timestamp_ms": 1771490680628.2708,
+    "phase": "inference",
+    "sub_phase": "req_37_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:40.830221",
+    "timestamp_ms": 1771490680830.2495,
+    "phase": "inference",
+    "sub_phase": "req_38_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:40.881931",
+    "timestamp_ms": 1771490680881.9397,
+    "phase": "inference",
+    "sub_phase": "req_38_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:44.485231",
+    "timestamp_ms": 1771490684485.2415,
+    "phase": "inference",
+    "sub_phase": "req_38_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:44.686436",
+    "timestamp_ms": 1771490684686.4646,
+    "phase": "inference",
+    "sub_phase": "req_39_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:44.723990",
+    "timestamp_ms": 1771490684723.9973,
+    "phase": "inference",
+    "sub_phase": "req_39_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:48.331196",
+    "timestamp_ms": 1771490688331.2065,
+    "phase": "inference",
+    "sub_phase": "req_39_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:48.532425",
+    "timestamp_ms": 1771490688532.4534,
+    "phase": "inference",
+    "sub_phase": "req_40_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:48.570106",
+    "timestamp_ms": 1771490688570.114,
+    "phase": "inference",
+    "sub_phase": "req_40_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:52.168053",
+    "timestamp_ms": 1771490692168.0647,
+    "phase": "inference",
+    "sub_phase": "req_40_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:52.369528",
+    "timestamp_ms": 1771490692369.5588,
+    "phase": "inference",
+    "sub_phase": "req_41_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:52.404138",
+    "timestamp_ms": 1771490692404.147,
+    "phase": "inference",
+    "sub_phase": "req_41_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:55.996559",
+    "timestamp_ms": 1771490695996.569,
+    "phase": "inference",
+    "sub_phase": "req_41_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:56.197971",
+    "timestamp_ms": 1771490696198.0032,
+    "phase": "inference",
+    "sub_phase": "req_42_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:56.235657",
+    "timestamp_ms": 1771490696235.6655,
+    "phase": "inference",
+    "sub_phase": "req_42_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:44:59.824893",
+    "timestamp_ms": 1771490699824.9043,
+    "phase": "inference",
+    "sub_phase": "req_42_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:00.026241",
+    "timestamp_ms": 1771490700026.2703,
+    "phase": "inference",
+    "sub_phase": "req_43_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:00.060537",
+    "timestamp_ms": 1771490700060.5452,
+    "phase": "inference",
+    "sub_phase": "req_43_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:03.627069",
+    "timestamp_ms": 1771490703627.0803,
+    "phase": "inference",
+    "sub_phase": "req_43_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:03.828449",
+    "timestamp_ms": 1771490703828.48,
+    "phase": "inference",
+    "sub_phase": "req_44_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:03.862310",
+    "timestamp_ms": 1771490703862.3186,
+    "phase": "inference",
+    "sub_phase": "req_44_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:07.484525",
+    "timestamp_ms": 1771490707484.535,
+    "phase": "inference",
+    "sub_phase": "req_44_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:07.685830",
+    "timestamp_ms": 1771490707685.8716,
+    "phase": "inference",
+    "sub_phase": "req_45_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:07.725082",
+    "timestamp_ms": 1771490707725.09,
+    "phase": "inference",
+    "sub_phase": "req_45_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:11.307402",
+    "timestamp_ms": 1771490711307.4119,
+    "phase": "inference",
+    "sub_phase": "req_45_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:11.508641",
+    "timestamp_ms": 1771490711508.6692,
+    "phase": "inference",
+    "sub_phase": "req_46_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:11.544410",
+    "timestamp_ms": 1771490711544.418,
+    "phase": "inference",
+    "sub_phase": "req_46_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:15.109879",
+    "timestamp_ms": 1771490715109.8872,
+    "phase": "inference",
+    "sub_phase": "req_46_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:15.311105",
+    "timestamp_ms": 1771490715311.1348,
+    "phase": "inference",
+    "sub_phase": "req_47_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:15.348667",
+    "timestamp_ms": 1771490715348.6753,
+    "phase": "inference",
+    "sub_phase": "req_47_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:18.942558",
+    "timestamp_ms": 1771490718942.5693,
+    "phase": "inference",
+    "sub_phase": "req_47_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:19.144461",
+    "timestamp_ms": 1771490719144.4824,
+    "phase": "inference",
+    "sub_phase": "req_48_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:19.179788",
+    "timestamp_ms": 1771490719179.8025,
+    "phase": "inference",
+    "sub_phase": "req_48_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:22.747466",
+    "timestamp_ms": 1771490722747.4756,
+    "phase": "inference",
+    "sub_phase": "req_48_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:22.949450",
+    "timestamp_ms": 1771490722949.484,
+    "phase": "inference",
+    "sub_phase": "req_49_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:22.983985",
+    "timestamp_ms": 1771490722983.9934,
+    "phase": "inference",
+    "sub_phase": "req_49_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:26.535523",
+    "timestamp_ms": 1771490726535.5317,
+    "phase": "inference",
+    "sub_phase": "req_49_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:26.737008",
+    "timestamp_ms": 1771490726737.0361,
+    "phase": "inference",
+    "sub_phase": "req_50_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:26.771169",
+    "timestamp_ms": 1771490726771.1772,
+    "phase": "inference",
+    "sub_phase": "req_50_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:30.314249",
+    "timestamp_ms": 1771490730314.2583,
+    "phase": "inference",
+    "sub_phase": "req_50_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:30.515433",
+    "timestamp_ms": 1771490730515.4622,
+    "phase": "inference",
+    "sub_phase": "req_51_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:30.553482",
+    "timestamp_ms": 1771490730553.4905,
+    "phase": "inference",
+    "sub_phase": "req_51_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:34.129422",
+    "timestamp_ms": 1771490734129.4329,
+    "phase": "inference",
+    "sub_phase": "req_51_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:34.330721",
+    "timestamp_ms": 1771490734330.75,
+    "phase": "inference",
+    "sub_phase": "req_52_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:34.368872",
+    "timestamp_ms": 1771490734368.8809,
+    "phase": "inference",
+    "sub_phase": "req_52_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:37.954818",
+    "timestamp_ms": 1771490737954.8289,
+    "phase": "inference",
+    "sub_phase": "req_52_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:38.156124",
+    "timestamp_ms": 1771490738156.1533,
+    "phase": "inference",
+    "sub_phase": "req_53_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:38.188706",
+    "timestamp_ms": 1771490738188.7134,
+    "phase": "inference",
+    "sub_phase": "req_53_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:41.760379",
+    "timestamp_ms": 1771490741760.3884,
+    "phase": "inference",
+    "sub_phase": "req_53_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:41.961653",
+    "timestamp_ms": 1771490741961.6814,
+    "phase": "inference",
+    "sub_phase": "req_54_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:41.994175",
+    "timestamp_ms": 1771490741994.183,
+    "phase": "inference",
+    "sub_phase": "req_54_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:45.545619",
+    "timestamp_ms": 1771490745545.6282,
+    "phase": "inference",
+    "sub_phase": "req_54_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:45.746880",
+    "timestamp_ms": 1771490745746.9082,
+    "phase": "inference",
+    "sub_phase": "req_55_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:45.784867",
+    "timestamp_ms": 1771490745784.8745,
+    "phase": "inference",
+    "sub_phase": "req_55_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:49.411782",
+    "timestamp_ms": 1771490749411.794,
+    "phase": "inference",
+    "sub_phase": "req_55_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:49.613152",
+    "timestamp_ms": 1771490749613.1836,
+    "phase": "inference",
+    "sub_phase": "req_56_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:49.649969",
+    "timestamp_ms": 1771490749649.9778,
+    "phase": "inference",
+    "sub_phase": "req_56_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:53.242406",
+    "timestamp_ms": 1771490753242.4177,
+    "phase": "inference",
+    "sub_phase": "req_56_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:53.443804",
+    "timestamp_ms": 1771490753443.847,
+    "phase": "inference",
+    "sub_phase": "req_57_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:53.477254",
+    "timestamp_ms": 1771490753477.262,
+    "phase": "inference",
+    "sub_phase": "req_57_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:57.062988",
+    "timestamp_ms": 1771490757062.9973,
+    "phase": "inference",
+    "sub_phase": "req_57_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:57.264151",
+    "timestamp_ms": 1771490757264.179,
+    "phase": "inference",
+    "sub_phase": "req_58_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:45:57.302219",
+    "timestamp_ms": 1771490757302.227,
+    "phase": "inference",
+    "sub_phase": "req_58_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:00.896038",
+    "timestamp_ms": 1771490760896.0496,
+    "phase": "inference",
+    "sub_phase": "req_58_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:01.097278",
+    "timestamp_ms": 1771490761097.3074,
+    "phase": "inference",
+    "sub_phase": "req_59_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:01.133494",
+    "timestamp_ms": 1771490761133.5022,
+    "phase": "inference",
+    "sub_phase": "req_59_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:04.698052",
+    "timestamp_ms": 1771490764698.0654,
+    "phase": "inference",
+    "sub_phase": "req_59_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:04.899294",
+    "timestamp_ms": 1771490764899.3223,
+    "phase": "inference",
+    "sub_phase": "req_60_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:04.936429",
+    "timestamp_ms": 1771490764936.4377,
+    "phase": "inference",
+    "sub_phase": "req_60_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:08.549518",
+    "timestamp_ms": 1771490768549.5286,
+    "phase": "inference",
+    "sub_phase": "req_60_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:08.750786",
+    "timestamp_ms": 1771490768750.815,
+    "phase": "inference",
+    "sub_phase": "req_61_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:08.788879",
+    "timestamp_ms": 1771490768788.8867,
+    "phase": "inference",
+    "sub_phase": "req_61_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:12.416240",
+    "timestamp_ms": 1771490772416.2505,
+    "phase": "inference",
+    "sub_phase": "req_61_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:12.617449",
+    "timestamp_ms": 1771490772617.478,
+    "phase": "inference",
+    "sub_phase": "req_62_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:12.655157",
+    "timestamp_ms": 1771490772655.1655,
+    "phase": "inference",
+    "sub_phase": "req_62_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:16.237948",
+    "timestamp_ms": 1771490776237.9565,
+    "phase": "inference",
+    "sub_phase": "req_62_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:16.439347",
+    "timestamp_ms": 1771490776439.3752,
+    "phase": "inference",
+    "sub_phase": "req_63_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:16.472359",
+    "timestamp_ms": 1771490776472.3674,
+    "phase": "inference",
+    "sub_phase": "req_63_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:20.062682",
+    "timestamp_ms": 1771490780062.6926,
+    "phase": "inference",
+    "sub_phase": "req_63_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:20.263934",
+    "timestamp_ms": 1771490780263.9614,
+    "phase": "inference",
+    "sub_phase": "req_64_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:20.303558",
+    "timestamp_ms": 1771490780303.5657,
+    "phase": "inference",
+    "sub_phase": "req_64_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:23.813215",
+    "timestamp_ms": 1771490783813.2236,
+    "phase": "inference",
+    "sub_phase": "req_64_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:24.014592",
+    "timestamp_ms": 1771490784014.623,
+    "phase": "inference",
+    "sub_phase": "req_65_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:24.053177",
+    "timestamp_ms": 1771490784053.1848,
+    "phase": "inference",
+    "sub_phase": "req_65_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:27.592885",
+    "timestamp_ms": 1771490787592.8967,
+    "phase": "inference",
+    "sub_phase": "req_65_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:27.794109",
+    "timestamp_ms": 1771490787794.1372,
+    "phase": "inference",
+    "sub_phase": "req_66_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:27.832575",
+    "timestamp_ms": 1771490787832.5825,
+    "phase": "inference",
+    "sub_phase": "req_66_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:31.352950",
+    "timestamp_ms": 1771490791352.9592,
+    "phase": "inference",
+    "sub_phase": "req_66_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:31.554725",
+    "timestamp_ms": 1771490791554.753,
+    "phase": "inference",
+    "sub_phase": "req_67_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:31.586921",
+    "timestamp_ms": 1771490791586.9287,
+    "phase": "inference",
+    "sub_phase": "req_67_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:35.121254",
+    "timestamp_ms": 1771490795121.2678,
+    "phase": "inference",
+    "sub_phase": "req_67_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:35.322592",
+    "timestamp_ms": 1771490795322.6206,
+    "phase": "inference",
+    "sub_phase": "req_68_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:35.355967",
+    "timestamp_ms": 1771490795355.9749,
+    "phase": "inference",
+    "sub_phase": "req_68_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:38.849690",
+    "timestamp_ms": 1771490798849.6978,
+    "phase": "inference",
+    "sub_phase": "req_68_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:39.051038",
+    "timestamp_ms": 1771490799051.0667,
+    "phase": "inference",
+    "sub_phase": "req_69_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:39.084925",
+    "timestamp_ms": 1771490799084.9333,
+    "phase": "inference",
+    "sub_phase": "req_69_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:42.591235",
+    "timestamp_ms": 1771490802591.2463,
+    "phase": "inference",
+    "sub_phase": "req_69_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:42.792501",
+    "timestamp_ms": 1771490802792.5288,
+    "phase": "inference",
+    "sub_phase": "req_70_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:42.830920",
+    "timestamp_ms": 1771490802830.9275,
+    "phase": "inference",
+    "sub_phase": "req_70_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:46.327338",
+    "timestamp_ms": 1771490806327.3455,
+    "phase": "inference",
+    "sub_phase": "req_70_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:46.528569",
+    "timestamp_ms": 1771490806528.597,
+    "phase": "inference",
+    "sub_phase": "req_71_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:46.568206",
+    "timestamp_ms": 1771490806568.2131,
+    "phase": "inference",
+    "sub_phase": "req_71_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:50.093376",
+    "timestamp_ms": 1771490810093.385,
+    "phase": "inference",
+    "sub_phase": "req_71_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:50.294523",
+    "timestamp_ms": 1771490810294.5513,
+    "phase": "inference",
+    "sub_phase": "req_72_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:50.329562",
+    "timestamp_ms": 1771490810329.5696,
+    "phase": "inference",
+    "sub_phase": "req_72_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:53.890363",
+    "timestamp_ms": 1771490813890.3738,
+    "phase": "inference",
+    "sub_phase": "req_72_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:54.091561",
+    "timestamp_ms": 1771490814091.589,
+    "phase": "inference",
+    "sub_phase": "req_73_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:54.130155",
+    "timestamp_ms": 1771490814130.1626,
+    "phase": "inference",
+    "sub_phase": "req_73_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:57.688001",
+    "timestamp_ms": 1771490817688.0112,
+    "phase": "inference",
+    "sub_phase": "req_73_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:57.889370",
+    "timestamp_ms": 1771490817889.3982,
+    "phase": "inference",
+    "sub_phase": "req_74_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:46:57.923274",
+    "timestamp_ms": 1771490817923.2825,
+    "phase": "inference",
+    "sub_phase": "req_74_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:01.520897",
+    "timestamp_ms": 1771490821520.9072,
+    "phase": "inference",
+    "sub_phase": "req_74_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:01.722203",
+    "timestamp_ms": 1771490821722.2317,
+    "phase": "inference",
+    "sub_phase": "req_75_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:01.753862",
+    "timestamp_ms": 1771490821753.8704,
+    "phase": "inference",
+    "sub_phase": "req_75_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:05.345254",
+    "timestamp_ms": 1771490825345.2656,
+    "phase": "inference",
+    "sub_phase": "req_75_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:05.546557",
+    "timestamp_ms": 1771490825546.5854,
+    "phase": "inference",
+    "sub_phase": "req_76_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:05.587058",
+    "timestamp_ms": 1771490825587.066,
+    "phase": "inference",
+    "sub_phase": "req_76_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:09.186146",
+    "timestamp_ms": 1771490829186.1565,
+    "phase": "inference",
+    "sub_phase": "req_76_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:09.387435",
+    "timestamp_ms": 1771490829387.4644,
+    "phase": "inference",
+    "sub_phase": "req_77_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:09.423974",
+    "timestamp_ms": 1771490829423.9827,
+    "phase": "inference",
+    "sub_phase": "req_77_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:13.039021",
+    "timestamp_ms": 1771490833039.0317,
+    "phase": "inference",
+    "sub_phase": "req_77_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:13.240434",
+    "timestamp_ms": 1771490833240.4626,
+    "phase": "inference",
+    "sub_phase": "req_78_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:13.273543",
+    "timestamp_ms": 1771490833273.551,
+    "phase": "inference",
+    "sub_phase": "req_78_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:16.850914",
+    "timestamp_ms": 1771490836850.9253,
+    "phase": "inference",
+    "sub_phase": "req_78_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:17.052397",
+    "timestamp_ms": 1771490837052.4253,
+    "phase": "inference",
+    "sub_phase": "req_79_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:17.088918",
+    "timestamp_ms": 1771490837088.927,
+    "phase": "inference",
+    "sub_phase": "req_79_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:20.629965",
+    "timestamp_ms": 1771490840629.9731,
+    "phase": "inference",
+    "sub_phase": "req_79_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:20.831229",
+    "timestamp_ms": 1771490840831.257,
+    "phase": "inference",
+    "sub_phase": "req_80_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:20.868953",
+    "timestamp_ms": 1771490840868.9614,
+    "phase": "inference",
+    "sub_phase": "req_80_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:24.472120",
+    "timestamp_ms": 1771490844472.1309,
+    "phase": "inference",
+    "sub_phase": "req_80_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:24.673572",
+    "timestamp_ms": 1771490844673.5996,
+    "phase": "inference",
+    "sub_phase": "req_81_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:24.706701",
+    "timestamp_ms": 1771490844706.7092,
+    "phase": "inference",
+    "sub_phase": "req_81_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:28.293356",
+    "timestamp_ms": 1771490848293.3662,
+    "phase": "inference",
+    "sub_phase": "req_81_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:28.494665",
+    "timestamp_ms": 1771490848494.6929,
+    "phase": "inference",
+    "sub_phase": "req_82_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:28.534092",
+    "timestamp_ms": 1771490848534.1,
+    "phase": "inference",
+    "sub_phase": "req_82_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:32.111359",
+    "timestamp_ms": 1771490852111.3704,
+    "phase": "inference",
+    "sub_phase": "req_82_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:32.312562",
+    "timestamp_ms": 1771490852312.59,
+    "phase": "inference",
+    "sub_phase": "req_83_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:32.350258",
+    "timestamp_ms": 1771490852350.2668,
+    "phase": "inference",
+    "sub_phase": "req_83_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:35.931200",
+    "timestamp_ms": 1771490855931.2097,
+    "phase": "inference",
+    "sub_phase": "req_83_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:36.132398",
+    "timestamp_ms": 1771490856132.4268,
+    "phase": "inference",
+    "sub_phase": "req_84_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:36.170016",
+    "timestamp_ms": 1771490856170.0247,
+    "phase": "inference",
+    "sub_phase": "req_84_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:39.755336",
+    "timestamp_ms": 1771490859755.3455,
+    "phase": "inference",
+    "sub_phase": "req_84_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:39.956591",
+    "timestamp_ms": 1771490859956.62,
+    "phase": "inference",
+    "sub_phase": "req_85_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:39.995925",
+    "timestamp_ms": 1771490859995.9336,
+    "phase": "inference",
+    "sub_phase": "req_85_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:43.656940",
+    "timestamp_ms": 1771490863656.952,
+    "phase": "inference",
+    "sub_phase": "req_85_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:43.858212",
+    "timestamp_ms": 1771490863858.243,
+    "phase": "inference",
+    "sub_phase": "req_86_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:43.896222",
+    "timestamp_ms": 1771490863896.2302,
+    "phase": "inference",
+    "sub_phase": "req_86_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:47.520892",
+    "timestamp_ms": 1771490867520.9033,
+    "phase": "inference",
+    "sub_phase": "req_86_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:47.722202",
+    "timestamp_ms": 1771490867722.23,
+    "phase": "inference",
+    "sub_phase": "req_87_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:47.754711",
+    "timestamp_ms": 1771490867754.7195,
+    "phase": "inference",
+    "sub_phase": "req_87_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:51.315366",
+    "timestamp_ms": 1771490871315.3762,
+    "phase": "inference",
+    "sub_phase": "req_87_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:51.516655",
+    "timestamp_ms": 1771490871516.683,
+    "phase": "inference",
+    "sub_phase": "req_88_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:51.549636",
+    "timestamp_ms": 1771490871549.6445,
+    "phase": "inference",
+    "sub_phase": "req_88_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:55.416482",
+    "timestamp_ms": 1771490875416.4958,
+    "phase": "inference",
+    "sub_phase": "req_88_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:55.617867",
+    "timestamp_ms": 1771490875617.897,
+    "phase": "inference",
+    "sub_phase": "req_89_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:55.651711",
+    "timestamp_ms": 1771490875651.7202,
+    "phase": "inference",
+    "sub_phase": "req_89_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:59.303070",
+    "timestamp_ms": 1771490879303.0854,
+    "phase": "inference",
+    "sub_phase": "req_89_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:59.504522",
+    "timestamp_ms": 1771490879504.5586,
+    "phase": "inference",
+    "sub_phase": "req_90_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:47:59.543557",
+    "timestamp_ms": 1771490879543.5688,
+    "phase": "inference",
+    "sub_phase": "req_90_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:03.285374",
+    "timestamp_ms": 1771490883285.3887,
+    "phase": "inference",
+    "sub_phase": "req_90_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:03.486961",
+    "timestamp_ms": 1771490883486.9973,
+    "phase": "inference",
+    "sub_phase": "req_91_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:03.522783",
+    "timestamp_ms": 1771490883522.7932,
+    "phase": "inference",
+    "sub_phase": "req_91_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:07.224806",
+    "timestamp_ms": 1771490887224.8176,
+    "phase": "inference",
+    "sub_phase": "req_91_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:07.426214",
+    "timestamp_ms": 1771490887426.2432,
+    "phase": "inference",
+    "sub_phase": "req_92_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:07.460669",
+    "timestamp_ms": 1771490887460.6775,
+    "phase": "inference",
+    "sub_phase": "req_92_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:11.123283",
+    "timestamp_ms": 1771490891123.2954,
+    "phase": "inference",
+    "sub_phase": "req_92_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:11.324480",
+    "timestamp_ms": 1771490891324.5083,
+    "phase": "inference",
+    "sub_phase": "req_93_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:11.362193",
+    "timestamp_ms": 1771490891362.201,
+    "phase": "inference",
+    "sub_phase": "req_93_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:14.984032",
+    "timestamp_ms": 1771490894984.0425,
+    "phase": "inference",
+    "sub_phase": "req_93_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:15.185302",
+    "timestamp_ms": 1771490895185.33,
+    "phase": "inference",
+    "sub_phase": "req_94_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:15.221651",
+    "timestamp_ms": 1771490895221.6594,
+    "phase": "inference",
+    "sub_phase": "req_94_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:18.834008",
+    "timestamp_ms": 1771490898834.02,
+    "phase": "inference",
+    "sub_phase": "req_94_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:19.035223",
+    "timestamp_ms": 1771490899035.2524,
+    "phase": "inference",
+    "sub_phase": "req_95_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:19.072885",
+    "timestamp_ms": 1771490899072.893,
+    "phase": "inference",
+    "sub_phase": "req_95_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:22.888885",
+    "timestamp_ms": 1771490902888.899,
+    "phase": "inference",
+    "sub_phase": "req_95_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:23.090098",
+    "timestamp_ms": 1771490903090.1267,
+    "phase": "inference",
+    "sub_phase": "req_96_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:23.128355",
+    "timestamp_ms": 1771490903128.3633,
+    "phase": "inference",
+    "sub_phase": "req_96_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:26.754563",
+    "timestamp_ms": 1771490906754.5737,
+    "phase": "inference",
+    "sub_phase": "req_96_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:26.955872",
+    "timestamp_ms": 1771490906955.9006,
+    "phase": "inference",
+    "sub_phase": "req_97_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:26.989830",
+    "timestamp_ms": 1771490906989.844,
+    "phase": "inference",
+    "sub_phase": "req_97_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:30.624017",
+    "timestamp_ms": 1771490910624.0283,
+    "phase": "inference",
+    "sub_phase": "req_97_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:30.825132",
+    "timestamp_ms": 1771490910825.1604,
+    "phase": "inference",
+    "sub_phase": "req_98_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:30.860221",
+    "timestamp_ms": 1771490910860.229,
+    "phase": "inference",
+    "sub_phase": "req_98_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:34.496230",
+    "timestamp_ms": 1771490914496.2407,
+    "phase": "inference",
+    "sub_phase": "req_98_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:34.697637",
+    "timestamp_ms": 1771490914697.6675,
+    "phase": "inference",
+    "sub_phase": "req_99_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:34.732181",
+    "timestamp_ms": 1771490914732.1892,
+    "phase": "inference",
+    "sub_phase": "req_99_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:38.360312",
+    "timestamp_ms": 1771490918360.3235,
+    "phase": "inference",
+    "sub_phase": "req_99_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:38.561574",
+    "timestamp_ms": 1771490918561.6025,
+    "phase": "inference",
+    "sub_phase": "req_100_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:38.599356",
+    "timestamp_ms": 1771490918599.3647,
+    "phase": "inference",
+    "sub_phase": "req_100_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:42.225601",
+    "timestamp_ms": 1771490922225.613,
+    "phase": "inference",
+    "sub_phase": "req_100_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:42.427306",
+    "timestamp_ms": 1771490922427.339,
+    "phase": "inference",
+    "sub_phase": "req_101_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:42.463601",
+    "timestamp_ms": 1771490922463.61,
+    "phase": "inference",
+    "sub_phase": "req_101_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:46.079644",
+    "timestamp_ms": 1771490926079.655,
+    "phase": "inference",
+    "sub_phase": "req_101_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:46.281126",
+    "timestamp_ms": 1771490926281.1545,
+    "phase": "inference",
+    "sub_phase": "req_102_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:46.314222",
+    "timestamp_ms": 1771490926314.2302,
+    "phase": "inference",
+    "sub_phase": "req_102_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:49.974922",
+    "timestamp_ms": 1771490929974.9326,
+    "phase": "inference",
+    "sub_phase": "req_102_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:50.176142",
+    "timestamp_ms": 1771490930176.1707,
+    "phase": "inference",
+    "sub_phase": "req_103_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:50.213362",
+    "timestamp_ms": 1771490930213.37,
+    "phase": "inference",
+    "sub_phase": "req_103_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:53.852383",
+    "timestamp_ms": 1771490933852.3938,
+    "phase": "inference",
+    "sub_phase": "req_103_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:54.053548",
+    "timestamp_ms": 1771490934053.5764,
+    "phase": "inference",
+    "sub_phase": "req_104_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:54.092479",
+    "timestamp_ms": 1771490934092.487,
+    "phase": "inference",
+    "sub_phase": "req_104_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:57.705020",
+    "timestamp_ms": 1771490937705.03,
+    "phase": "inference",
+    "sub_phase": "req_104_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:57.906261",
+    "timestamp_ms": 1771490937906.289,
+    "phase": "inference",
+    "sub_phase": "req_105_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:48:57.946273",
+    "timestamp_ms": 1771490937946.2812,
+    "phase": "inference",
+    "sub_phase": "req_105_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:01.571399",
+    "timestamp_ms": 1771490941571.4097,
+    "phase": "inference",
+    "sub_phase": "req_105_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:01.773116",
+    "timestamp_ms": 1771490941773.1445,
+    "phase": "inference",
+    "sub_phase": "req_106_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:01.806249",
+    "timestamp_ms": 1771490941806.2576,
+    "phase": "inference",
+    "sub_phase": "req_106_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:05.437647",
+    "timestamp_ms": 1771490945437.6577,
+    "phase": "inference",
+    "sub_phase": "req_106_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:05.638802",
+    "timestamp_ms": 1771490945638.831,
+    "phase": "inference",
+    "sub_phase": "req_107_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:05.677277",
+    "timestamp_ms": 1771490945677.285,
+    "phase": "inference",
+    "sub_phase": "req_107_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:09.214963",
+    "timestamp_ms": 1771490949214.9746,
+    "phase": "inference",
+    "sub_phase": "req_107_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:09.416236",
+    "timestamp_ms": 1771490949416.2644,
+    "phase": "inference",
+    "sub_phase": "req_108_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:09.455084",
+    "timestamp_ms": 1771490949455.0918,
+    "phase": "inference",
+    "sub_phase": "req_108_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:13.040026",
+    "timestamp_ms": 1771490953040.035,
+    "phase": "inference",
+    "sub_phase": "req_108_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:13.241557",
+    "timestamp_ms": 1771490953241.5862,
+    "phase": "inference",
+    "sub_phase": "req_109_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:13.276989",
+    "timestamp_ms": 1771490953276.9976,
+    "phase": "inference",
+    "sub_phase": "req_109_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:16.826411",
+    "timestamp_ms": 1771490956826.4219,
+    "phase": "inference",
+    "sub_phase": "req_109_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:17.027861",
+    "timestamp_ms": 1771490957027.8906,
+    "phase": "inference",
+    "sub_phase": "req_110_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:17.064218",
+    "timestamp_ms": 1771490957064.2268,
+    "phase": "inference",
+    "sub_phase": "req_110_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:20.606646",
+    "timestamp_ms": 1771490960606.6558,
+    "phase": "inference",
+    "sub_phase": "req_110_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:20.808034",
+    "timestamp_ms": 1771490960808.0618,
+    "phase": "inference",
+    "sub_phase": "req_111_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:20.842027",
+    "timestamp_ms": 1771490960842.036,
+    "phase": "inference",
+    "sub_phase": "req_111_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:24.393978",
+    "timestamp_ms": 1771490964393.9858,
+    "phase": "inference",
+    "sub_phase": "req_111_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:24.595326",
+    "timestamp_ms": 1771490964595.354,
+    "phase": "inference",
+    "sub_phase": "req_112_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:24.630863",
+    "timestamp_ms": 1771490964630.8716,
+    "phase": "inference",
+    "sub_phase": "req_112_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:28.206467",
+    "timestamp_ms": 1771490968206.476,
+    "phase": "inference",
+    "sub_phase": "req_112_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:28.407752",
+    "timestamp_ms": 1771490968407.781,
+    "phase": "inference",
+    "sub_phase": "req_113_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:28.441423",
+    "timestamp_ms": 1771490968441.4321,
+    "phase": "inference",
+    "sub_phase": "req_113_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:32.005132",
+    "timestamp_ms": 1771490972005.1436,
+    "phase": "inference",
+    "sub_phase": "req_113_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:32.206379",
+    "timestamp_ms": 1771490972206.408,
+    "phase": "inference",
+    "sub_phase": "req_114_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:32.245062",
+    "timestamp_ms": 1771490972245.0703,
+    "phase": "inference",
+    "sub_phase": "req_114_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:35.814580",
+    "timestamp_ms": 1771490975814.5933,
+    "phase": "inference",
+    "sub_phase": "req_114_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:36.016309",
+    "timestamp_ms": 1771490976016.3384,
+    "phase": "inference",
+    "sub_phase": "req_115_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:36.049885",
+    "timestamp_ms": 1771490976049.8933,
+    "phase": "inference",
+    "sub_phase": "req_115_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:39.616478",
+    "timestamp_ms": 1771490979616.4883,
+    "phase": "inference",
+    "sub_phase": "req_115_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:39.817733",
+    "timestamp_ms": 1771490979817.7612,
+    "phase": "inference",
+    "sub_phase": "req_116_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:39.856994",
+    "timestamp_ms": 1771490979857.0027,
+    "phase": "inference",
+    "sub_phase": "req_116_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:43.468100",
+    "timestamp_ms": 1771490983468.1113,
+    "phase": "inference",
+    "sub_phase": "req_116_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:43.669377",
+    "timestamp_ms": 1771490983669.4053,
+    "phase": "inference",
+    "sub_phase": "req_117_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:43.708039",
+    "timestamp_ms": 1771490983708.047,
+    "phase": "inference",
+    "sub_phase": "req_117_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:47.317961",
+    "timestamp_ms": 1771490987317.9727,
+    "phase": "inference",
+    "sub_phase": "req_117_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:47.519261",
+    "timestamp_ms": 1771490987519.2903,
+    "phase": "inference",
+    "sub_phase": "req_118_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:47.560050",
+    "timestamp_ms": 1771490987560.058,
+    "phase": "inference",
+    "sub_phase": "req_118_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:51.078078",
+    "timestamp_ms": 1771490991078.0867,
+    "phase": "inference",
+    "sub_phase": "req_118_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:51.279352",
+    "timestamp_ms": 1771490991279.3796,
+    "phase": "inference",
+    "sub_phase": "req_119_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:51.317963",
+    "timestamp_ms": 1771490991317.971,
+    "phase": "inference",
+    "sub_phase": "req_119_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:54.817678",
+    "timestamp_ms": 1771490994817.6885,
+    "phase": "inference",
+    "sub_phase": "req_119_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:55.018954",
+    "timestamp_ms": 1771490995018.9832,
+    "phase": "inference",
+    "sub_phase": "req_120_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:55.057579",
+    "timestamp_ms": 1771490995057.5874,
+    "phase": "inference",
+    "sub_phase": "req_120_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:58.559364",
+    "timestamp_ms": 1771490998559.3743,
+    "phase": "inference",
+    "sub_phase": "req_120_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:58.761454",
+    "timestamp_ms": 1771490998761.4658,
+    "phase": "inference",
+    "sub_phase": "req_121_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:49:58.793724",
+    "timestamp_ms": 1771490998793.7312,
+    "phase": "inference",
+    "sub_phase": "req_121_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:02.337105",
+    "timestamp_ms": 1771491002337.1152,
+    "phase": "inference",
+    "sub_phase": "req_121_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:02.538403",
+    "timestamp_ms": 1771491002538.4316,
+    "phase": "inference",
+    "sub_phase": "req_122_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:02.574757",
+    "timestamp_ms": 1771491002574.766,
+    "phase": "inference",
+    "sub_phase": "req_122_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:06.128075",
+    "timestamp_ms": 1771491006128.085,
+    "phase": "inference",
+    "sub_phase": "req_122_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:06.329349",
+    "timestamp_ms": 1771491006329.378,
+    "phase": "inference",
+    "sub_phase": "req_123_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:06.368151",
+    "timestamp_ms": 1771491006368.159,
+    "phase": "inference",
+    "sub_phase": "req_123_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:09.853790",
+    "timestamp_ms": 1771491009853.7988,
+    "phase": "inference",
+    "sub_phase": "req_123_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:10.055008",
+    "timestamp_ms": 1771491010055.0374,
+    "phase": "inference",
+    "sub_phase": "req_124_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:10.090298",
+    "timestamp_ms": 1771491010090.3054,
+    "phase": "inference",
+    "sub_phase": "req_124_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:13.603600",
+    "timestamp_ms": 1771491013603.6094,
+    "phase": "inference",
+    "sub_phase": "req_124_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:13.804767",
+    "timestamp_ms": 1771491013804.795,
+    "phase": "inference",
+    "sub_phase": "req_125_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:13.842326",
+    "timestamp_ms": 1771491013842.333,
+    "phase": "inference",
+    "sub_phase": "req_125_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:17.353369",
+    "timestamp_ms": 1771491017353.3782,
+    "phase": "inference",
+    "sub_phase": "req_125_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:17.554948",
+    "timestamp_ms": 1771491017554.986,
+    "phase": "inference",
+    "sub_phase": "req_126_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:17.592414",
+    "timestamp_ms": 1771491017592.4307,
+    "phase": "inference",
+    "sub_phase": "req_126_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:21.144261",
+    "timestamp_ms": 1771491021144.2715,
+    "phase": "inference",
+    "sub_phase": "req_126_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:21.345548",
+    "timestamp_ms": 1771491021345.5774,
+    "phase": "inference",
+    "sub_phase": "req_127_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:21.384644",
+    "timestamp_ms": 1771491021384.652,
+    "phase": "inference",
+    "sub_phase": "req_127_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:24.895400",
+    "timestamp_ms": 1771491024895.4084,
+    "phase": "inference",
+    "sub_phase": "req_127_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:25.096666",
+    "timestamp_ms": 1771491025096.695,
+    "phase": "inference",
+    "sub_phase": "req_128_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:25.134925",
+    "timestamp_ms": 1771491025134.9338,
+    "phase": "inference",
+    "sub_phase": "req_128_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:28.687375",
+    "timestamp_ms": 1771491028687.3835,
+    "phase": "inference",
+    "sub_phase": "req_128_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:28.888724",
+    "timestamp_ms": 1771491028888.7524,
+    "phase": "inference",
+    "sub_phase": "req_129_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:28.921483",
+    "timestamp_ms": 1771491028921.491,
+    "phase": "inference",
+    "sub_phase": "req_129_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:32.470093",
+    "timestamp_ms": 1771491032470.103,
+    "phase": "inference",
+    "sub_phase": "req_129_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:32.671461",
+    "timestamp_ms": 1771491032671.49,
+    "phase": "inference",
+    "sub_phase": "req_130_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:32.706252",
+    "timestamp_ms": 1771491032706.2615,
+    "phase": "inference",
+    "sub_phase": "req_130_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:36.244644",
+    "timestamp_ms": 1771491036244.655,
+    "phase": "inference",
+    "sub_phase": "req_130_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:36.445909",
+    "timestamp_ms": 1771491036445.9373,
+    "phase": "inference",
+    "sub_phase": "req_131_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:36.483741",
+    "timestamp_ms": 1771491036483.749,
+    "phase": "inference",
+    "sub_phase": "req_131_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:40.029935",
+    "timestamp_ms": 1771491040029.9443,
+    "phase": "inference",
+    "sub_phase": "req_131_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:40.231362",
+    "timestamp_ms": 1771491040231.3906,
+    "phase": "inference",
+    "sub_phase": "req_132_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:40.264453",
+    "timestamp_ms": 1771491040264.4612,
+    "phase": "inference",
+    "sub_phase": "req_132_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:43.799581",
+    "timestamp_ms": 1771491043799.5916,
+    "phase": "inference",
+    "sub_phase": "req_132_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:44.000812",
+    "timestamp_ms": 1771491044000.8533,
+    "phase": "inference",
+    "sub_phase": "req_133_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:44.034351",
+    "timestamp_ms": 1771491044034.3584,
+    "phase": "inference",
+    "sub_phase": "req_133_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:47.562692",
+    "timestamp_ms": 1771491047562.7007,
+    "phase": "inference",
+    "sub_phase": "req_133_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:47.763907",
+    "timestamp_ms": 1771491047763.9355,
+    "phase": "inference",
+    "sub_phase": "req_134_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:47.801535",
+    "timestamp_ms": 1771491047801.5432,
+    "phase": "inference",
+    "sub_phase": "req_134_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:51.333893",
+    "timestamp_ms": 1771491051333.9019,
+    "phase": "inference",
+    "sub_phase": "req_134_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:51.535141",
+    "timestamp_ms": 1771491051535.1704,
+    "phase": "inference",
+    "sub_phase": "req_135_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:51.572364",
+    "timestamp_ms": 1771491051572.372,
+    "phase": "inference",
+    "sub_phase": "req_135_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:55.214904",
+    "timestamp_ms": 1771491055214.9138,
+    "phase": "inference",
+    "sub_phase": "req_135_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:55.416150",
+    "timestamp_ms": 1771491055416.178,
+    "phase": "inference",
+    "sub_phase": "req_136_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:55.451444",
+    "timestamp_ms": 1771491055451.4521,
+    "phase": "inference",
+    "sub_phase": "req_136_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:58.979254",
+    "timestamp_ms": 1771491058979.2654,
+    "phase": "inference",
+    "sub_phase": "req_136_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:59.180629",
+    "timestamp_ms": 1771491059180.6604,
+    "phase": "inference",
+    "sub_phase": "req_137_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:50:59.213368",
+    "timestamp_ms": 1771491059213.3765,
+    "phase": "inference",
+    "sub_phase": "req_137_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:02.749081",
+    "timestamp_ms": 1771491062749.09,
+    "phase": "inference",
+    "sub_phase": "req_137_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:02.950342",
+    "timestamp_ms": 1771491062950.3699,
+    "phase": "inference",
+    "sub_phase": "req_138_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:02.989806",
+    "timestamp_ms": 1771491062989.8135,
+    "phase": "inference",
+    "sub_phase": "req_138_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:06.601172",
+    "timestamp_ms": 1771491066601.1863,
+    "phase": "inference",
+    "sub_phase": "req_138_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:06.802415",
+    "timestamp_ms": 1771491066802.4429,
+    "phase": "inference",
+    "sub_phase": "req_139_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:06.839839",
+    "timestamp_ms": 1771491066839.8464,
+    "phase": "inference",
+    "sub_phase": "req_139_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:10.358353",
+    "timestamp_ms": 1771491070358.3623,
+    "phase": "inference",
+    "sub_phase": "req_139_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:10.559710",
+    "timestamp_ms": 1771491070559.7412,
+    "phase": "inference",
+    "sub_phase": "req_140_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:10.592820",
+    "timestamp_ms": 1771491070592.8286,
+    "phase": "inference",
+    "sub_phase": "req_140_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:14.115360",
+    "timestamp_ms": 1771491074115.369,
+    "phase": "inference",
+    "sub_phase": "req_140_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:14.316639",
+    "timestamp_ms": 1771491074316.6672,
+    "phase": "inference",
+    "sub_phase": "req_141_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:14.350877",
+    "timestamp_ms": 1771491074350.8857,
+    "phase": "inference",
+    "sub_phase": "req_141_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:17.935134",
+    "timestamp_ms": 1771491077935.1438,
+    "phase": "inference",
+    "sub_phase": "req_141_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:18.136441",
+    "timestamp_ms": 1771491078136.4695,
+    "phase": "inference",
+    "sub_phase": "req_142_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:18.170483",
+    "timestamp_ms": 1771491078170.4907,
+    "phase": "inference",
+    "sub_phase": "req_142_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:21.651760",
+    "timestamp_ms": 1771491081651.7727,
+    "phase": "inference",
+    "sub_phase": "req_142_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:21.852949",
+    "timestamp_ms": 1771491081852.977,
+    "phase": "inference",
+    "sub_phase": "req_143_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:21.888980",
+    "timestamp_ms": 1771491081888.9883,
+    "phase": "inference",
+    "sub_phase": "req_143_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:25.395885",
+    "timestamp_ms": 1771491085395.8948,
+    "phase": "inference",
+    "sub_phase": "req_143_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:25.597329",
+    "timestamp_ms": 1771491085597.358,
+    "phase": "inference",
+    "sub_phase": "req_144_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:25.631288",
+    "timestamp_ms": 1771491085631.2961,
+    "phase": "inference",
+    "sub_phase": "req_144_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:29.151747",
+    "timestamp_ms": 1771491089151.756,
+    "phase": "inference",
+    "sub_phase": "req_144_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:29.353231",
+    "timestamp_ms": 1771491089353.2593,
+    "phase": "inference",
+    "sub_phase": "req_145_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:29.385593",
+    "timestamp_ms": 1771491089385.6006,
+    "phase": "inference",
+    "sub_phase": "req_145_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:32.894787",
+    "timestamp_ms": 1771491092894.799,
+    "phase": "inference",
+    "sub_phase": "req_145_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:33.096034",
+    "timestamp_ms": 1771491093096.062,
+    "phase": "inference",
+    "sub_phase": "req_146_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:33.132586",
+    "timestamp_ms": 1771491093132.5938,
+    "phase": "inference",
+    "sub_phase": "req_146_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:36.738773",
+    "timestamp_ms": 1771491096738.788,
+    "phase": "inference",
+    "sub_phase": "req_146_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:36.939985",
+    "timestamp_ms": 1771491096940.0144,
+    "phase": "inference",
+    "sub_phase": "req_147_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:36.975966",
+    "timestamp_ms": 1771491096975.9739,
+    "phase": "inference",
+    "sub_phase": "req_147_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:40.477383",
+    "timestamp_ms": 1771491100477.393,
+    "phase": "inference",
+    "sub_phase": "req_147_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:40.678733",
+    "timestamp_ms": 1771491100678.7612,
+    "phase": "inference",
+    "sub_phase": "req_148_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:40.711882",
+    "timestamp_ms": 1771491100711.89,
+    "phase": "inference",
+    "sub_phase": "req_148_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:44.230355",
+    "timestamp_ms": 1771491104230.3694,
+    "phase": "inference",
+    "sub_phase": "req_148_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:44.431618",
+    "timestamp_ms": 1771491104431.6487,
+    "phase": "inference",
+    "sub_phase": "req_149_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:44.469993",
+    "timestamp_ms": 1771491104470.0103,
+    "phase": "inference",
+    "sub_phase": "req_149_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:48.143412",
+    "timestamp_ms": 1771491108143.4224,
+    "phase": "inference",
+    "sub_phase": "req_149_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:48.344598",
+    "timestamp_ms": 1771491108344.6265,
+    "phase": "inference",
+    "sub_phase": "req_150_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:48.379761",
+    "timestamp_ms": 1771491108379.7683,
+    "phase": "inference",
+    "sub_phase": "req_150_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:51.918218",
+    "timestamp_ms": 1771491111918.2285,
+    "phase": "inference",
+    "sub_phase": "req_150_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:52.119544",
+    "timestamp_ms": 1771491112119.5723,
+    "phase": "inference",
+    "sub_phase": "req_151_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:52.151522",
+    "timestamp_ms": 1771491112151.5298,
+    "phase": "inference",
+    "sub_phase": "req_151_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:55.743913",
+    "timestamp_ms": 1771491115743.9255,
+    "phase": "inference",
+    "sub_phase": "req_151_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:55.945202",
+    "timestamp_ms": 1771491115945.23,
+    "phase": "inference",
+    "sub_phase": "req_152_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:55.983679",
+    "timestamp_ms": 1771491115983.6868,
+    "phase": "inference",
+    "sub_phase": "req_152_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:59.606681",
+    "timestamp_ms": 1771491119606.6924,
+    "phase": "inference",
+    "sub_phase": "req_152_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:59.808110",
+    "timestamp_ms": 1771491119808.132,
+    "phase": "inference",
+    "sub_phase": "req_153_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:51:59.842265",
+    "timestamp_ms": 1771491119842.272,
+    "phase": "inference",
+    "sub_phase": "req_153_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:52:03.445588",
+    "timestamp_ms": 1771491123445.5977,
+    "phase": "inference",
+    "sub_phase": "req_153_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:52:03.646958",
+    "timestamp_ms": 1771491123646.986,
+    "phase": "inference",
+    "sub_phase": "req_154_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:52:03.680427",
+    "timestamp_ms": 1771491123680.4343,
+    "phase": "inference",
+    "sub_phase": "req_154_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:52:07.241497",
+    "timestamp_ms": 1771491127241.5059,
+    "phase": "inference",
+    "sub_phase": "req_154_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:52:07.442880",
+    "timestamp_ms": 1771491127442.9072,
+    "phase": "inference",
+    "sub_phase": "req_155_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:52:07.475188",
+    "timestamp_ms": 1771491127475.1953,
+    "phase": "inference",
+    "sub_phase": "req_155_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:52:11.031913",
+    "timestamp_ms": 1771491131031.926,
+    "phase": "inference",
+    "sub_phase": "req_155_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:52:11.233133",
+    "timestamp_ms": 1771491131233.1611,
+    "phase": "inference",
+    "sub_phase": "req_156_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:52:11.271640",
+    "timestamp_ms": 1771491131271.6482,
+    "phase": "inference",
+    "sub_phase": "req_156_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:52:14.829397",
+    "timestamp_ms": 1771491134829.407,
+    "phase": "inference",
+    "sub_phase": "req_156_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:52:15.030912",
+    "timestamp_ms": 1771491135030.9414,
+    "phase": "inference",
+    "sub_phase": "req_157_prefill"
+  },
+  {
+    "timestamp": "2026-02-19T17:52:15.066640",
+    "timestamp_ms": 1771491135066.6482,
+    "phase": "inference",
+    "sub_phase": "req_157_decode"
+  },
+  {
+    "timestamp": "2026-02-19T17:52:18.592529",
+    "timestamp_ms": 1771491138592.539,
+    "phase": "inference",
+    "sub_phase": "req_157_idle_between"
+  },
+  {
+    "timestamp": "2026-02-19T17:52:18.792827",
+    "timestamp_ms": 1771491138792.8884,
+    "phase": "inference",
+    "sub_phase": "session_finished"
+  },
+  {
+    "timestamp": "2026-02-19T17:52:18.795804",
+    "timestamp_ms": 1771491138795.8103,
+    "phase": "idle_post",
+    "sub_phase": ""
+  }
+]

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_mistral-7b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000020/README.md

@@ -0,0 +1,207 @@
+---
+base_model: mistralai/Mistral-7B-Instruct-v0.3
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:mistralai/Mistral-7B-Instruct-v0.3
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_mistral-7b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000020/adapter_config.json

@@ -0,0 +1,49 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "up_proj",
+    "c_fc",
+    "q_proj",
+    "v_proj",
+    "k_proj",
+    "c_proj",
+    "down_proj",
+    "c_attn",
+    "gate_proj",
+    "o_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_mistral-7b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000020/trainer_state.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0f5d84f828193a149214170c881298f0aa1519455992a581f3f50beba0120dc6
+size 1361

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_mistral-7b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000040/README.md

@@ -0,0 +1,207 @@
+---
+base_model: mistralai/Mistral-7B-Instruct-v0.3
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:mistralai/Mistral-7B-Instruct-v0.3
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_mistral-7b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000040/adapter_config.json

@@ -0,0 +1,49 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "up_proj",
+    "c_fc",
+    "q_proj",
+    "v_proj",
+    "k_proj",
+    "c_proj",
+    "down_proj",
+    "c_attn",
+    "gate_proj",
+    "o_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_mistral-7b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000040/trainer_state.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:91db6be6fa1a14a90393dc7f9898a79c015e9fe5c3189600f15da49ac0ae01c1
+size 1361

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_mistral-7b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000060/README.md

@@ -0,0 +1,207 @@
+---
+base_model: mistralai/Mistral-7B-Instruct-v0.3
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:mistralai/Mistral-7B-Instruct-v0.3
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_mistral-7b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000060/adapter_config.json

@@ -0,0 +1,49 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "up_proj",
+    "c_fc",
+    "q_proj",
+    "v_proj",
+    "k_proj",
+    "c_proj",
+    "down_proj",
+    "c_attn",
+    "gate_proj",
+    "o_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_mistral-7b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000060/trainer_state.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bef91fdff19f5d0529edca6de67462a25e547cac21ef39efad196c4251059031
+size 1361

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_mistral-7b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000080/README.md

@@ -0,0 +1,207 @@
+---
+base_model: mistralai/Mistral-7B-Instruct-v0.3
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:mistralai/Mistral-7B-Instruct-v0.3
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_mistral-7b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000080/adapter_config.json

@@ -0,0 +1,49 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "up_proj",
+    "c_fc",
+    "q_proj",
+    "v_proj",
+    "k_proj",
+    "c_proj",
+    "down_proj",
+    "c_attn",
+    "gate_proj",
+    "o_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_mistral-7b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000080/trainer_state.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:11f73331c317b136b30dab749ae072413c1e8e1f2890170b7560a593d2b82ea8
+size 1361

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_mistral-7b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000100/README.md

@@ -0,0 +1,207 @@
+---
+base_model: mistralai/Mistral-7B-Instruct-v0.3
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:mistralai/Mistral-7B-Instruct-v0.3
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_mistral-7b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000100/adapter_config.json

@@ -0,0 +1,49 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "up_proj",
+    "c_fc",
+    "q_proj",
+    "v_proj",
+    "k_proj",
+    "c_proj",
+    "down_proj",
+    "c_attn",
+    "gate_proj",
+    "o_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_mistral-7b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000100/trainer_state.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2d25de0e8597e5a54662cd619a13bc8754077956267bed66de868ba0125ab6c0
+size 1361

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_mistral-7b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000120/README.md

@@ -0,0 +1,207 @@
+---
+base_model: mistralai/Mistral-7B-Instruct-v0.3
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:mistralai/Mistral-7B-Instruct-v0.3
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_mistral-7b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000120/adapter_config.json

@@ -0,0 +1,49 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "up_proj",
+    "c_fc",
+    "q_proj",
+    "v_proj",
+    "k_proj",
+    "c_proj",
+    "down_proj",
+    "c_attn",
+    "gate_proj",
+    "o_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_mistral-7b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000120/trainer_state.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:53d9e03178d92e08563b973d5955d227293fb17076218b6b285f058222970e9b
+size 1361

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_mistral-7b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000140/README.md

@@ -0,0 +1,207 @@
+---
+base_model: mistralai/Mistral-7B-Instruct-v0.3
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:mistralai/Mistral-7B-Instruct-v0.3
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_mistral-7b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000140/adapter_config.json

@@ -0,0 +1,49 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "up_proj",
+    "c_fc",
+    "q_proj",
+    "v_proj",
+    "k_proj",
+    "c_proj",
+    "down_proj",
+    "c_attn",
+    "gate_proj",
+    "o_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_mistral-7b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000140/trainer_state.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:19bf40184c910d0e8d474aaaaec6c7c8f7df1700cd7e7fb2d45674e5e2556522
+size 1361

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_mistral-7b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000160/README.md

@@ -0,0 +1,207 @@
+---
+base_model: mistralai/Mistral-7B-Instruct-v0.3
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:mistralai/Mistral-7B-Instruct-v0.3
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_mistral-7b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000160/adapter_config.json

@@ -0,0 +1,49 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "up_proj",
+    "c_fc",
+    "q_proj",
+    "v_proj",
+    "k_proj",
+    "c_proj",
+    "down_proj",
+    "c_attn",
+    "gate_proj",
+    "o_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_mistral-7b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000160/trainer_state.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3624a88eb1cabb8487be51a71318b390ca1c063a3549dc1a96248d56c4f0f0c6
+size 1361

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_mistral-7b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000180/README.md

@@ -0,0 +1,207 @@
+---
+base_model: mistralai/Mistral-7B-Instruct-v0.3
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:mistralai/Mistral-7B-Instruct-v0.3
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_mistral-7b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000180/adapter_config.json

@@ -0,0 +1,49 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "up_proj",
+    "c_fc",
+    "q_proj",
+    "v_proj",
+    "k_proj",
+    "c_proj",
+    "down_proj",
+    "c_attn",
+    "gate_proj",
+    "o_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_mistral-7b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000180/trainer_state.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3107d3eb1fde5f4a1194cad071840746b10894edee98382e2497512e8e5710e8
+size 1361

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000020/README.md

@@ -0,0 +1,207 @@
+---
+base_model: Qwen/Qwen3-4B-Instruct-2507
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3-4B-Instruct-2507
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000020/adapter_config.json

@@ -0,0 +1,49 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen3-4B-Instruct-2507",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "v_proj",
+    "q_proj",
+    "up_proj",
+    "c_proj",
+    "down_proj",
+    "c_attn",
+    "c_fc",
+    "o_proj",
+    "gate_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000020/trainer_state.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3080c0bdb0902acd7f14a8e100793dbb6e12b88c6c48735ea92f9cfc925d790a
+size 1361

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000040/README.md

@@ -0,0 +1,207 @@
+---
+base_model: Qwen/Qwen3-4B-Instruct-2507
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3-4B-Instruct-2507
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000040/adapter_config.json

@@ -0,0 +1,49 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen3-4B-Instruct-2507",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "v_proj",
+    "q_proj",
+    "up_proj",
+    "c_proj",
+    "down_proj",
+    "c_attn",
+    "c_fc",
+    "o_proj",
+    "gate_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000040/trainer_state.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:57f8c3fbc276b47783770c19ade2e9c102097bc45a80446fa1f21ffdc84741db
+size 1361

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000060/README.md

@@ -0,0 +1,207 @@
+---
+base_model: Qwen/Qwen3-4B-Instruct-2507
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3-4B-Instruct-2507
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000060/adapter_config.json

@@ -0,0 +1,49 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen3-4B-Instruct-2507",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "v_proj",
+    "q_proj",
+    "up_proj",
+    "c_proj",
+    "down_proj",
+    "c_attn",
+    "c_fc",
+    "o_proj",
+    "gate_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000060/trainer_state.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:feb2b3437aa214b055be7aab7d38a7a7a68d61c08194e8865d1b8e875facd4c3
+size 1361

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000080/README.md

@@ -0,0 +1,207 @@
+---
+base_model: Qwen/Qwen3-4B-Instruct-2507
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3-4B-Instruct-2507
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000080/adapter_config.json

@@ -0,0 +1,49 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen3-4B-Instruct-2507",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "v_proj",
+    "q_proj",
+    "up_proj",
+    "c_proj",
+    "down_proj",
+    "c_attn",
+    "c_fc",
+    "o_proj",
+    "gate_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000080/trainer_state.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2bb9fabf759cafff4007240339e6dc45cb6c6de86edda42175cffc1ac58807f2
+size 1361

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000100/README.md

@@ -0,0 +1,207 @@
+---
+base_model: Qwen/Qwen3-4B-Instruct-2507
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3-4B-Instruct-2507
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000100/adapter_config.json

@@ -0,0 +1,49 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen3-4B-Instruct-2507",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "v_proj",
+    "q_proj",
+    "up_proj",
+    "c_proj",
+    "down_proj",
+    "c_attn",
+    "c_fc",
+    "o_proj",
+    "gate_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000100/trainer_state.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4aef10baec18c0bf73372d8dc2b8c150bfb4e7e669aaef9c4c63f76df3830b60
+size 1361

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000120/README.md

@@ -0,0 +1,207 @@
+---
+base_model: Qwen/Qwen3-4B-Instruct-2507
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3-4B-Instruct-2507
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1

outputs/llm_power_experiment/14_control_sim_matrix_train_infer_idle/controls_vs_nocap_baseline/ramp/r01/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap_ckpt20_ramp/checkpoints/step_000120/adapter_config.json

@@ -0,0 +1,49 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen3-4B-Instruct-2507",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "v_proj",
+    "q_proj",
+    "up_proj",
+    "c_proj",
+    "down_proj",
+    "c_attn",
+    "c_fc",
+    "o_proj",
+    "gate_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}