chaiml-csfs-v5-dpo-b025

developer_uid: chai_backend_admin

submission_id: chaiml-csfs-v5-dpo-b025_v1

model_name: training123

model_group: ChaiML/csfs-v5-dpo_b025

status: inactive

timestamp: 2025-11-22T00:47:14+00:00

num_battles: 7627

num_wins: 3841

celo_rating: 1299.2

family_friendly_score: 0.0

family_friendly_standard_error: 0.0

submission_type: basic

model_repo: ChaiML/csfs-v5-dpo_b025

model_architecture: MistralForCausalLM

model_num_parameters: 24096691200.0

best_of: 8

max_input_tokens: 2048

max_output_tokens: 64

reward_model: default

latencies: [{'batch_size': 1, 'throughput': 0.44733489772876844, 'latency_mean': 2.2353365170955657, 'latency_p50': 2.2396020889282227, 'latency_p90': 2.4358920097351073}, {'batch_size': 2, 'throughput': 0.6719129164268862, 'latency_mean': 2.9730678284168244, 'latency_p50': 2.9762295484542847, 'latency_p90': 3.2590415716171264}, {'batch_size': 3, 'throughput': 0.8251137108317977, 'latency_mean': 3.6166165971755984, 'latency_p50': 3.624011516571045, 'latency_p90': 3.9367630243301392}, {'batch_size': 4, 'throughput': 0.923150346828628, 'latency_mean': 4.318850165605545, 'latency_p50': 4.354799270629883, 'latency_p90': 4.755372381210327}, {'batch_size': 5, 'throughput': 0.9946316183224951, 'latency_mean': 5.007250589132309, 'latency_p50': 5.014664053916931, 'latency_p90': 5.662894129753113}]

gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}

display_name: training123

is_internal_developer: True

language_model: ChaiML/csfs-v5-dpo_b025

model_size: 24B

ranking_group: single

throughput_3p7s: 0.84

us_pacific_date: 2025-11-21

win_ratio: 0.5036056116428478

generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['User:', 'You:', '</s>', '\n'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '####\n{bot_name}:', 'truncate_by_message': True}

Resubmit model

Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-csfs-v5-dpo-b025-v1-mkmlizer
Waiting for job on chaiml-csfs-v5-dpo-b025-v1-mkmlizer to finish
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: ║                                                                     ║
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: ║                                                                     ║
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: ║                                                                     ║
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: ║                                                                     ║
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: ║                                                                     ║
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: Downloaded to shared memory in 103.628s
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: Checking if ChaiML/csfs-v5-dpo_b025 already exists in ChaiML
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpwxivy5kv, device:0
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: quantized model in 51.074s
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: Processed model ChaiML/csfs-v5-dpo_b025 in 154.703s
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-csfs-v5-dpo-b025-v1/nvidia
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-csfs-v5-dpo-b025-v1/nvidia/config.json
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-csfs-v5-dpo-b025-v1/nvidia/special_tokens_map.json
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-csfs-v5-dpo-b025-v1/nvidia/tokenizer_config.json
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-csfs-v5-dpo-b025-v1/nvidia/tokenizer.json
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-csfs-v5-dpo-b025-v1/nvidia/flywheel_model.1.safetensors
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-csfs-v5-dpo-b025-v1/nvidia/flywheel_model.0.safetensors
chaiml-csfs-v5-dpo-b025-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 4/363 [00:00<00:10, 33.82it/s]
Loading 0:   2%|▏         | 8/363 [00:00<00:13, 26.74it/s]
Loading 0:   3%|▎         | 12/363 [00:00<00:12, 27.99it/s]
Loading 0:   4%|▍         | 15/363 [00:00<00:15, 22.39it/s]
Loading 0:   6%|▌         | 21/363 [00:00<00:11, 29.27it/s]
Loading 0:   7%|▋         | 25/363 [00:00<00:12, 26.04it/s]
Loading 0:   9%|▊         | 31/363 [00:01<00:09, 33.21it/s]
Loading 0:  10%|▉         | 35/363 [00:01<00:16, 19.79it/s]
Loading 0:  10%|█         | 38/363 [00:01<00:15, 20.52it/s]
Loading 0:  11%|█▏        | 41/363 [00:01<00:17, 18.00it/s]
Loading 0:  13%|█▎        | 48/363 [00:01<00:12, 25.34it/s]
Loading 0:  14%|█▍        | 52/363 [00:02<00:12, 24.87it/s]
Loading 0:  16%|█▌        | 57/363 [00:02<00:10, 27.93it/s]
Loading 0:  17%|█▋        | 61/363 [00:02<00:11, 26.94it/s]
Loading 0:  18%|█▊        | 65/363 [00:02<00:10, 27.86it/s]
Loading 0:  19%|█▉        | 70/363 [00:02<00:12, 24.40it/s]
Loading 0:  20%|██        | 73/363 [00:03<00:13, 20.87it/s]
Loading 0:  22%|██▏       | 79/363 [00:03<00:10, 26.35it/s]
Loading 0:  23%|██▎       | 82/363 [00:03<00:10, 26.05it/s]
Loading 0:  24%|██▎       | 86/363 [00:03<00:10, 26.75it/s]
Loading 0:  25%|██▍       | 89/363 [00:03<00:11, 24.68it/s]
Loading 0:  25%|██▌       | 92/363 [00:03<00:14, 18.46it/s]
Loading 0:  27%|██▋       | 97/363 [00:03<00:11, 22.68it/s]
Loading 0:  28%|██▊       | 100/363 [00:04<00:12, 20.26it/s]
Loading 0:  28%|██▊       | 103/363 [00:04<00:20, 12.68it/s]
Loading 0:  29%|██▉       | 107/363 [00:04<00:19, 12.92it/s]
Loading 0:  30%|███       | 109/363 [00:05<00:25,  9.96it/s]
Loading 0:  31%|███       | 112/363 [00:05<00:21, 11.62it/s]
Loading 0:  31%|███▏      | 114/363 [00:05<00:20, 12.17it/s]
Loading 0:  33%|███▎      | 118/363 [00:05<00:14, 16.33it/s]
Loading 0:  33%|███▎      | 121/363 [00:05<00:13, 18.21it/s]
Loading 0:  34%|███▍      | 124/363 [00:06<00:12, 19.41it/s]
Loading 0:  36%|███▌      | 129/363 [00:06<00:09, 23.50it/s]
Loading 0:  36%|███▋      | 132/363 [00:06<00:10, 22.11it/s]
Loading 0:  38%|███▊      | 138/363 [00:06<00:08, 27.88it/s]
Loading 0:  39%|███▉      | 141/363 [00:06<00:08, 25.21it/s]
Loading 0:  41%|████      | 148/363 [00:06<00:06, 34.57it/s]
Loading 0:  42%|████▏     | 152/363 [00:07<00:08, 23.53it/s]
Loading 0:  43%|████▎     | 156/363 [00:07<00:08, 23.18it/s]
Loading 0:  44%|████▍     | 159/363 [00:07<00:09, 21.94it/s]
Loading 0:  45%|████▌     | 165/363 [00:07<00:07, 27.01it/s]
Loading 0:  47%|████▋     | 169/363 [00:07<00:07, 26.39it/s]
Loading 0:  48%|████▊     | 174/363 [00:07<00:06, 29.01it/s]
Loading 0:  49%|████▉     | 178/363 [00:08<00:07, 25.88it/s]
Loading 0:  50%|████▉     | 181/363 [00:08<00:06, 26.49it/s]
Loading 0:  51%|█████     | 186/363 [00:08<00:06, 27.48it/s]
Loading 0:  52%|█████▏    | 189/363 [00:08<00:10, 16.65it/s]
Loading 0:  53%|█████▎    | 193/363 [00:08<00:08, 19.37it/s]
Loading 0:  54%|█████▍    | 196/363 [00:09<00:08, 19.41it/s]
Loading 0:  55%|█████▍    | 199/363 [00:09<00:07, 21.01it/s]
Loading 0:  55%|█████▌    | 200/363 [00:23<00:07, 21.01it/s]
Loading 0:  55%|█████▌    | 201/363 [00:23<04:05,  1.51s/it]
Loading 0:  56%|█████▌    | 203/363 [00:24<03:11,  1.20s/it]
Loading 0:  57%|█████▋    | 208/363 [00:24<01:45,  1.47it/s]
Loading 0:  58%|█████▊    | 211/363 [00:24<01:18,  1.94it/s]
Loading 0:  59%|█████▉    | 214/363 [00:24<00:57,  2.61it/s]
Loading 0:  60%|██████    | 218/363 [00:24<00:38,  3.80it/s]
Loading 0:  61%|██████    | 221/363 [00:24<00:28,  4.91it/s]
Loading 0:  62%|██████▏   | 224/363 [00:25<00:23,  5.95it/s]
Loading 0:  63%|██████▎   | 229/363 [00:25<00:15,  8.93it/s]
Loading 0:  64%|██████▍   | 232/363 [00:25<00:12, 10.69it/s]
Loading 0:  65%|██████▌   | 237/363 [00:25<00:08, 14.67it/s]
Loading 0:  66%|██████▌   | 240/363 [00:25<00:08, 15.27it/s]
Loading 0:  68%|██████▊   | 246/363 [00:25<00:05, 20.11it/s]
Loading 0:  69%|██████▊   | 249/363 [00:26<00:05, 19.28it/s]
Loading 0:  70%|███████   | 255/363 [00:26<00:04, 23.84it/s]
Loading 0:  71%|███████   | 258/363 [00:26<00:04, 21.51it/s]
Loading 0:  72%|███████▏  | 262/363 [00:26<00:04, 24.45it/s]
Loading 0:  73%|███████▎  | 266/363 [00:26<00:03, 27.59it/s]
Loading 0:  74%|███████▍  | 270/363 [00:27<00:05, 17.10it/s]
Loading 0:  75%|███████▌  | 274/363 [00:27<00:04, 20.14it/s]
Loading 0:  76%|███████▋  | 277/363 [00:27<00:04, 20.48it/s]
Loading 0:  77%|███████▋  | 280/363 [00:27<00:03, 21.89it/s]
Loading 0:  78%|███████▊  | 283/363 [00:27<00:03, 22.97it/s]
Loading 0:  79%|███████▉  | 286/363 [00:27<00:03, 22.86it/s]
Loading 0:  80%|████████  | 291/363 [00:27<00:02, 25.65it/s]
Loading 0:  81%|████████  | 294/363 [00:28<00:03, 22.96it/s]
Loading 0:  82%|████████▏ | 299/363 [00:28<00:02, 26.26it/s]
Loading 0:  84%|████████▎ | 304/363 [00:28<00:02, 24.77it/s]
Loading 0:  85%|████████▍ | 307/363 [00:28<00:02, 22.96it/s]
Loading 0:  85%|████████▌ | 310/363 [00:28<00:02, 23.94it/s]
Loading 0:  86%|████████▌ | 313/363 [00:28<00:02, 24.26it/s]
Loading 0:  88%|████████▊ | 318/363 [00:28<00:01, 27.53it/s]
Loading 0:  88%|████████▊ | 321/363 [00:29<00:01, 24.83it/s]
Loading 0:  90%|█████████ | 327/363 [00:29<00:01, 30.26it/s]
Loading 0:  91%|█████████ | 331/363 [00:29<00:01, 28.13it/s]
Loading 0:  92%|█████████▏| 335/363 [00:29<00:00, 28.66it/s]
Loading 0:  93%|█████████▎| 338/363 [00:29<00:00, 27.34it/s]
Loading 0:  94%|█████████▍| 341/363 [00:30<00:01, 16.30it/s]
Loading 0:  96%|█████████▌| 347/363 [00:30<00:00, 21.84it/s]
Loading 0:  96%|█████████▋| 350/363 [00:30<00:00, 19.28it/s]
Loading 0:  98%|█████████▊| 355/363 [00:30<00:00, 22.85it/s]
Loading 0:  99%|█████████▊| 358/363 [00:30<00:00, 20.43it/s]
Loading 0: 100%|█████████▉| 362/363 [00:30<00:00, 23.00it/s]
                                                            
Job chaiml-csfs-v5-dpo-b025-v1-mkmlizer completed after 195.43s with status: succeeded
Stopping job with name chaiml-csfs-v5-dpo-b025-v1-mkmlizer
Pipeline stage MKMLizer completed in 196.02s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-csfs-v5-dpo-b025-v1
Waiting for inference service chaiml-csfs-v5-dpo-b025-v1 to be ready
Inference service chaiml-csfs-v5-dpo-b025-v1 ready after 151.0976676940918s
Pipeline stage MKMLDeployer completed in 151.63s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.9720730781555176s
Received healthy response to inference request in 1.9833736419677734s
Received healthy response to inference request in 1.8321890830993652s
Received healthy response to inference request in 1.6810743808746338s
Received healthy response to inference request in 1.8708405494689941s
5 requests
0 failed requests
5th percentile: 1.7112973213195801
10th percentile: 1.7415202617645265
20th percentile: 1.801966142654419
30th percentile: 1.839919376373291
40th percentile: 1.8553799629211425
50th percentile: 1.8708405494689941
60th percentile: 1.9113335609436035
70th percentile: 1.951826572418213
80th percentile: 1.9743331909179687
90th percentile: 1.978853416442871
95th percentile: 1.9811135292053224
99th percentile: 1.9829216194152832
mean time: 1.8679101467132568
Pipeline stage StressChecker completed in 10.68s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.68s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 1.04s
Shutdown handler de-registered
chaiml-csfs-v5-dpo-b025_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-csfs-v5-dpo-b025-v1-profiler
Waiting for inference service chaiml-csfs-v5-dpo-b025-v1-profiler to be ready
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3030.26s
Shutdown handler de-registered