chaiml-7b07-v1-dpo-lr15-b025

developer_uid: chai_backend_admin

submission_id: chaiml-7b07-v1-dpo-lr15-b025_v1

model_name: training123

model_group: ChaiML/7b07-v1-dpo_lr15-

status: torndown

timestamp: 2025-11-21T08:21:06+00:00

num_battles: 6560

num_wins: 3453

celo_rating: 1301.55

family_friendly_score: 0.48

family_friendly_standard_error: 0.007065408693062277

submission_type: basic

model_repo: ChaiML/7b07-v1-dpo_lr15-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': 0.38339558741012286, 'latency_mean': 2.6081656050682067, 'latency_p50': 2.634610652923584, 'latency_p90': 2.865203881263733}, {'batch_size': 2, 'throughput': 0.5724644854644997, 'latency_mean': 3.479041540622711, 'latency_p50': 3.468663215637207, 'latency_p90': 3.8046780586242677}, {'batch_size': 3, 'throughput': 0.7105642187843592, 'latency_mean': 4.206897943019867, 'latency_p50': 4.231114745140076, 'latency_p90': 4.799905228614807}, {'batch_size': 4, 'throughput': 0.8093626373915188, 'latency_mean': 4.921161706447601, 'latency_p50': 4.896093726158142, 'latency_p90': 5.642365026473999}, {'batch_size': 5, 'throughput': 0.873429943988888, 'latency_mean': 5.692338746786118, 'latency_p50': 5.666257739067078, 'latency_p90': 6.520412611961365}]

gpu_counts: {'NVIDIA L40S': 1}

display_name: training123

is_internal_developer: True

language_model: ChaiML/7b07-v1-dpo_lr15-b025

model_size: 24B

ranking_group: single

throughput_3p7s: 0.62

us_pacific_date: 2025-11-18

win_ratio: 0.5263719512195122

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': ['\n', '</s>', 'User:', 'You:'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{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-7b07-v1-dpo-lr15-b025-v1-mkmlizer
Waiting for job on chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer to finish
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: ║                                                                     ║
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: ║                                                                     ║
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: ║                                                                     ║
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: ║                                                                     ║
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: ║                                                                     ║
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: Downloaded to shared memory in 74.608s
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: Checking if ChaiML/7b07-v1-dpo_lr15-b025 already exists in ChaiML
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpnu0acbms, device:0
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: quantized model in 42.391s
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: Processed model ChaiML/7b07-v1-dpo_lr15-b025 in 117.000s
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-7b07-v1-dpo-lr15-b025-v1/nvidia
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-7b07-v1-dpo-lr15-b025-v1/nvidia/config.json
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-7b07-v1-dpo-lr15-b025-v1/nvidia/special_tokens_map.json
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-7b07-v1-dpo-lr15-b025-v1/nvidia/tokenizer_config.json
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-7b07-v1-dpo-lr15-b025-v1/nvidia/tokenizer.json
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-7b07-v1-dpo-lr15-b025-v1/nvidia/flywheel_model.1.safetensors
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-7b07-v1-dpo-lr15-b025-v1/nvidia/flywheel_model.0.safetensors
chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 4/363 [00:00<00:11, 31.14it/s]
Loading 0:   2%|▏         | 8/363 [00:00<00:11, 29.60it/s]
Loading 0:   4%|▎         | 13/363 [00:00<00:10, 32.35it/s]
Loading 0:   5%|▍         | 17/363 [00:00<00:10, 33.21it/s]
Loading 0:   6%|▌         | 22/363 [00:00<00:10, 33.98it/s]
Loading 0:   7%|▋         | 26/363 [00:00<00:09, 35.29it/s]
Loading 0:   9%|▉         | 32/363 [00:00<00:08, 40.73it/s]
Loading 0:  10%|█         | 37/363 [00:01<00:12, 25.93it/s]
Loading 0:  11%|█▏        | 41/363 [00:01<00:13, 24.54it/s]
Loading 0:  13%|█▎        | 48/363 [00:01<00:09, 32.49it/s]
Loading 0:  14%|█▍        | 52/363 [00:01<00:09, 31.62it/s]
Loading 0:  16%|█▌        | 57/363 [00:01<00:08, 34.95it/s]
Loading 0:  17%|█▋        | 61/363 [00:01<00:09, 32.76it/s]
Loading 0:  18%|█▊        | 65/363 [00:02<00:08, 33.80it/s]
Loading 0:  19%|█▉        | 70/363 [00:02<00:09, 30.58it/s]
Loading 0:  20%|██        | 74/363 [00:02<00:10, 27.29it/s]
Loading 0:  22%|██▏       | 79/363 [00:02<00:10, 27.36it/s]
Loading 0:  23%|██▎       | 82/363 [00:02<00:10, 27.36it/s]
Loading 0:  24%|██▎       | 86/363 [00:02<00:09, 29.91it/s]
Loading 0:  25%|██▍       | 90/363 [00:02<00:09, 29.59it/s]
Loading 0:  26%|██▌       | 94/363 [00:03<00:09, 28.53it/s]
Loading 0:  27%|██▋       | 99/363 [00:03<00:08, 32.50it/s]
Loading 0:  28%|██▊       | 103/363 [00:03<00:08, 31.34it/s]
Loading 0:  29%|██▉       | 107/363 [00:03<00:09, 27.73it/s]
Loading 0:  31%|███       | 112/363 [00:03<00:08, 30.48it/s]
Loading 0:  32%|███▏      | 116/363 [00:03<00:07, 31.17it/s]
Loading 0:  33%|███▎      | 121/363 [00:03<00:07, 32.36it/s]
Loading 0:  34%|███▍      | 125/363 [00:04<00:07, 33.81it/s]
Loading 0:  36%|███▌      | 130/363 [00:04<00:06, 34.21it/s]
Loading 0:  37%|███▋      | 134/363 [00:04<00:06, 35.16it/s]
Loading 0:  38%|███▊      | 139/363 [00:04<00:06, 35.11it/s]
Loading 0:  39%|███▉      | 143/363 [00:04<00:06, 35.65it/s]
Loading 0:  41%|████      | 149/363 [00:04<00:05, 40.18it/s]
Loading 0:  42%|████▏     | 154/363 [00:04<00:07, 28.29it/s]
Loading 0:  44%|████▎     | 158/363 [00:05<00:07, 25.83it/s]
Loading 0:  45%|████▌     | 165/363 [00:05<00:05, 33.09it/s]
Loading 0:  47%|████▋     | 169/363 [00:05<00:06, 31.50it/s]
Loading 0:  48%|████▊     | 174/363 [00:05<00:05, 34.49it/s]
Loading 0:  49%|████▉     | 178/363 [00:05<00:05, 32.48it/s]
Loading 0:  50%|█████     | 182/363 [00:05<00:05, 33.08it/s]
Loading 0:  52%|█████▏    | 187/363 [00:05<00:05, 30.39it/s]
Loading 0:  53%|█████▎    | 191/363 [00:06<00:05, 29.27it/s]
Loading 0:  54%|█████▎    | 195/363 [00:06<00:06, 26.36it/s]
Loading 0:  55%|█████▌    | 201/363 [00:19<02:14,  1.20it/s]
Loading 0:  56%|█████▌    | 203/363 [00:19<01:55,  1.38it/s]
Loading 0:  57%|█████▋    | 208/363 [00:19<01:14,  2.09it/s]
Loading 0:  58%|█████▊    | 211/363 [00:19<00:57,  2.65it/s]
Loading 0:  59%|█████▉    | 214/363 [00:19<00:43,  3.41it/s]
Loading 0:  60%|██████    | 218/363 [00:19<00:30,  4.76it/s]
Loading 0:  61%|██████    | 221/363 [00:20<00:23,  5.99it/s]
Loading 0:  62%|██████▏   | 224/363 [00:20<00:19,  7.14it/s]
Loading 0:  63%|██████▎   | 229/363 [00:20<00:12, 10.45it/s]
Loading 0:  64%|██████▍   | 232/363 [00:20<00:10, 12.31it/s]
Loading 0:  65%|██████▌   | 237/363 [00:20<00:07, 16.80it/s]
Loading 0:  66%|██████▋   | 241/363 [00:20<00:06, 18.97it/s]
Loading 0:  68%|██████▊   | 246/363 [00:20<00:05, 23.31it/s]
Loading 0:  69%|██████▉   | 250/363 [00:21<00:04, 24.48it/s]
Loading 0:  70%|███████   | 255/363 [00:21<00:03, 28.76it/s]
Loading 0:  71%|███████▏  | 259/363 [00:21<00:03, 28.41it/s]
Loading 0:  73%|███████▎  | 266/363 [00:21<00:02, 35.39it/s]
Loading 0:  74%|███████▍  | 270/363 [00:21<00:03, 23.92it/s]
Loading 0:  76%|███████▌  | 275/363 [00:22<00:03, 24.07it/s]
Loading 0:  78%|███████▊  | 282/363 [00:22<00:02, 30.65it/s]
Loading 0:  79%|███████▉  | 286/363 [00:22<00:02, 29.28it/s]
Loading 0:  80%|████████  | 291/363 [00:22<00:02, 32.44it/s]
Loading 0:  81%|████████▏ | 295/363 [00:22<00:02, 30.18it/s]
Loading 0:  82%|████████▏ | 299/363 [00:22<00:02, 31.11it/s]
Loading 0:  84%|████████▎ | 304/363 [00:22<00:02, 28.10it/s]
Loading 0:  85%|████████▍ | 308/363 [00:23<00:01, 27.90it/s]
Loading 0:  86%|████████▌ | 311/363 [00:23<00:02, 23.52it/s]
Loading 0:  88%|████████▊ | 318/363 [00:23<00:01, 31.46it/s]
Loading 0:  89%|████████▊ | 322/363 [00:23<00:01, 30.01it/s]
Loading 0:  90%|█████████ | 327/363 [00:23<00:01, 33.26it/s]
Loading 0:  91%|█████████ | 331/363 [00:23<00:01, 31.49it/s]
Loading 0:  92%|█████████▏| 335/363 [00:23<00:00, 32.47it/s]
Loading 0:  93%|█████████▎| 339/363 [00:24<00:00, 33.28it/s]
Loading 0:  94%|█████████▍| 343/363 [00:24<00:00, 20.21it/s]
Loading 0:  96%|█████████▌| 348/363 [00:24<00:00, 21.90it/s]
Loading 0:  98%|█████████▊| 355/363 [00:24<00:00, 29.31it/s]
Loading 0:  99%|█████████▉| 359/363 [00:24<00:00, 28.87it/s]
                                                            
Job chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer completed after 176.46s with status: succeeded
Stopping job with name chaiml-7b07-v1-dpo-lr15-b025-v1-mkmlizer
Pipeline stage MKMLizer completed in 176.99s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-7b07-v1-dpo-lr15-b025-v1
Waiting for inference service chaiml-7b07-v1-dpo-lr15-b025-v1 to be ready
Failed to get response for submission mistralai-mistral-nem_93303_v569: ('http://mistralai-mistral-nem-93303-v569-predictor.tenant-chaiml-guanaco.k2.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Inference service chaiml-7b07-v1-dpo-lr15-b025-v1 ready after 241.25015473365784s
Pipeline stage MKMLDeployer completed in 241.84s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.54887056350708s
Received healthy response to inference request in 2.222289562225342s
Received healthy response to inference request in 2.430429220199585s
Received healthy response to inference request in 2.1471669673919678s
Received healthy response to inference request in 2.2260549068450928s
5 requests
0 failed requests
5th percentile: 2.1621914863586427
10th percentile: 2.1772160053253176
20th percentile: 2.207265043258667
30th percentile: 2.223042631149292
40th percentile: 2.2245487689971926
50th percentile: 2.2260549068450928
60th percentile: 2.3078046321868895
70th percentile: 2.3895543575286866
80th percentile: 2.454117488861084
90th percentile: 2.501494026184082
95th percentile: 2.525182294845581
99th percentile: 2.5441329097747802
mean time: 2.3149622440338136
Pipeline stage StressChecker completed in 13.31s
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 0.88s
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 0.87s
Shutdown handler de-registered
chaiml-7b07-v1-dpo-lr15-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 0.16s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-7b07-v1-dpo-lr15-b025-v1-profiler
Waiting for inference service chaiml-7b07-v1-dpo-lr15-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 3127.83s
Shutdown handler de-registered
chaiml-7b07-v1-dpo-lr15-b025_v1 status is now inactive due to auto deactivation removed underperforming models
chaiml-7b07-v1-dpo-lr15-b025_v1 status is now torndown due to DeploymentManager action