developer_uid: chai_backend_admin
submission_id: chaiml-1030-quang-ir-lt_95143_v1
model_name: training123
model_group: ChaiML/1030-quang-ir-ltr
status: inactive
timestamp: 2025-10-30T23:47:11+00:00
num_battles: 7410
num_wins: 3867
celo_rating: 1289.62
family_friendly_score: 0.5167999999999999
family_friendly_standard_error: 0.00706707520831638
submission_type: basic
model_repo: ChaiML/1030-quang-ir-ltry-mix3-maxb3-cldboth-adh9-iq9-dpo_v5e6
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': 0.3856498908632216, 'latency_mean': 2.592900947332382, 'latency_p50': 2.583113193511963, 'latency_p90': 2.8429421186447144}, {'batch_size': 2, 'throughput': 0.5777123734663316, 'latency_mean': 3.4608847069740296, 'latency_p50': 3.471433997154236, 'latency_p90': 3.774777340888977}, {'batch_size': 3, 'throughput': 0.7146750833227278, 'latency_mean': 4.192331116199494, 'latency_p50': 4.187044143676758, 'latency_p90': 4.6082216739654545}, {'batch_size': 4, 'throughput': 0.8162763174457407, 'latency_mean': 4.88118793129921, 'latency_p50': 4.874313712120056, 'latency_p90': 5.65112955570221}, {'batch_size': 5, 'throughput': 0.8729916980999731, 'latency_mean': 5.7101157748699185, 'latency_p50': 5.716494679450989, 'latency_p90': 6.460550117492676}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: training123
is_internal_developer: True
language_model: ChaiML/1030-quang-ir-ltry-mix3-maxb3-cldboth-adh9-iq9-dpo_v5e6
model_size: 24B
ranking_group: single
throughput_3p7s: 0.63
us_pacific_date: 2025-10-30
win_ratio: 0.5218623481781377
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': ['</s>', 'You:', '\n', '####'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s persona: {memory}", 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': 'You: {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-1030-quang-ir-lt-95143-v1-mkmlizer
Waiting for job on chaiml-1030-quang-ir-lt-95143-v1-mkmlizer to finish
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: ║ ║
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: ║ ░░██████ ██████ ░░███ ███░ ░░███ ║
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: ║ ░███░█████░███ ░███ ███ ░███ ║
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: ║ ░███░░███ ░███ ░███████ ░███ ║
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: ║ ░███ ░░░ ░███ ░███░░███ ░███ ║
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: ║ ░███ ░███ ░███ ░░███ ░███ ║
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: ║ ║
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: ║ Version: 0.30.2 ║
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: ║ ║
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: ║ belonging to: ║
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: ║ ║
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: ║ ║
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: Downloaded to shared memory in 67.372s
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: Checking if ChaiML/1030-quang-ir-ltry-mix3-maxb3-cldboth-adh9-iq9-dpo_v5e6 already exists in ChaiML
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp33kl33l7, device:0
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: quantized model in 42.103s
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: Processed model ChaiML/1030-quang-ir-ltry-mix3-maxb3-cldboth-adh9-iq9-dpo_v5e6 in 109.476s
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-1030-quang-ir-lt-95143-v1/nvidia
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-1030-quang-ir-lt-95143-v1/nvidia/config.json
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-1030-quang-ir-lt-95143-v1/nvidia/special_tokens_map.json
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-1030-quang-ir-lt-95143-v1/nvidia/tokenizer_config.json
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-1030-quang-ir-lt-95143-v1/nvidia/tokenizer.json
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-1030-quang-ir-lt-95143-v1/nvidia/flywheel_model.0.safetensors
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-1030-quang-ir-lt-95143-v1/nvidia/flywheel_model.1.safetensors
chaiml-1030-quang-ir-lt-95143-v1-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:16, 21.44it/s] Loading 0: 3%|▎ | 12/363 [00:00<00:08, 39.36it/s] Loading 0: 5%|▍ | 17/363 [00:00<00:09, 35.81it/s] Loading 0: 6%|▌ | 22/363 [00:00<00:09, 35.60it/s] Loading 0: 7%|▋ | 26/363 [00:00<00:09, 35.59it/s] Loading 0: 9%|▉ | 32/363 [00:00<00:08, 41.12it/s] Loading 0: 10%|█ | 37/363 [00:01<00:13, 24.99it/s] Loading 0: 11%|█▏ | 41/363 [00:01<00:13, 23.61it/s] Loading 0: 13%|█▎ | 48/363 [00:01<00:10, 31.26it/s] Loading 0: 14%|█▍ | 52/363 [00:01<00:10, 30.30it/s] Loading 0: 16%|█▌ | 57/363 [00:01<00:09, 33.83it/s] Loading 0: 17%|█▋ | 61/363 [00:01<00:09, 31.91it/s] Loading 0: 18%|█▊ | 65/363 [00:02<00:09, 33.11it/s] Loading 0: 19%|█▉ | 70/363 [00:02<00:09, 29.63it/s] Loading 0: 20%|██ | 74/363 [00:02<00:10, 26.66it/s] Loading 0: 22%|██▏ | 79/363 [00:02<00:09, 30.65it/s] Loading 0: 23%|██▎ | 83/363 [00:02<00:08, 31.94it/s] Loading 0: 24%|██▍ | 87/363 [00:02<00:10, 27.50it/s] Loading 0: 25%|██▌ | 92/363 [00:03<00:09, 27.15it/s] Loading 0: 27%|██▋ | 99/363 [00:03<00:07, 34.62it/s] Loading 0: 28%|██▊ | 103/363 [00:03<00:07, 33.04it/s] Loading 0: 29%|██▉ | 107/363 [00:03<00:08, 28.55it/s] Loading 0: 31%|███ | 112/363 [00:03<00:08, 30.83it/s] Loading 0: 32%|███▏ | 116/363 [00:03<00:07, 31.17it/s] Loading 0: 33%|███▎ | 120/363 [00:03<00:07, 33.06it/s] Loading 0: 34%|███▍ | 124/363 [00:04<00:07, 31.69it/s] Loading 0: 36%|███▌ | 129/363 [00:04<00:06, 35.07it/s] Loading 0: 37%|███▋ | 133/363 [00:04<00:07, 32.78it/s] Loading 0: 38%|███▊ | 138/363 [00:04<00:06, 36.09it/s] Loading 0: 39%|███▉ | 142/363 [00:04<00:06, 33.68it/s] Loading 0: 41%|████ | 149/363 [00:04<00:05, 39.74it/s] Loading 0: 42%|████▏ | 154/363 [00:04<00:07, 27.23it/s] Loading 0: 44%|████▎ | 158/363 [00:05<00:08, 25.36it/s] Loading 0: 45%|████▌ | 165/363 [00:05<00:06, 32.55it/s] Loading 0: 47%|████▋ | 169/363 [00:05<00:06, 31.18it/s] Loading 0: 48%|████▊ | 174/363 [00:05<00:05, 33.97it/s] Loading 0: 49%|████▉ | 178/363 [00:05<00:05, 32.47it/s] Loading 0: 50%|█████ | 182/363 [00:05<00:05, 33.14it/s] Loading 0: 52%|█████▏ | 187/363 [00:05<00:05, 30.17it/s] Loading 0: 53%|█████▎ | 191/363 [00:06<00:05, 29.28it/s] Loading 0: 54%|█████▎ | 195/363 [00:06<00:06, 26.36it/s] Loading 0: 55%|█████▌ | 201/363 [00:19<02:15, 1.19it/s] Loading 0: 56%|█████▌ | 203/363 [00:19<01:56, 1.37it/s] Loading 0: 57%|█████▋ | 208/363 [00:19<01:14, 2.08it/s] Loading 0: 58%|█████▊ | 212/363 [00:19<00:54, 2.78it/s] Loading 0: 60%|██████ | 218/363 [00:20<00:33, 4.33it/s] Loading 0: 61%|██████ | 222/363 [00:20<00:25, 5.61it/s] Loading 0: 62%|██████▏ | 226/363 [00:20<00:19, 6.91it/s] Loading 0: 63%|██████▎ | 230/363 [00:20<00:15, 8.51it/s] Loading 0: 65%|██████▌ | 237/363 [00:20<00:09, 13.19it/s] Loading 0: 66%|██████▋ | 241/363 [00:20<00:07, 15.27it/s] Loading 0: 68%|██████▊ | 246/363 [00:21<00:06, 19.23it/s] Loading 0: 69%|██████▉ | 250/363 [00:21<00:05, 20.92it/s] Loading 0: 70%|███████ | 255/363 [00:21<00:04, 25.13it/s] Loading 0: 71%|███████▏ | 259/363 [00:21<00:03, 26.06it/s] Loading 0: 73%|███████▎ | 266/363 [00:21<00:02, 33.19it/s] Loading 0: 75%|███████▍ | 271/363 [00:21<00:03, 24.93it/s] Loading 0: 76%|███████▌ | 275/363 [00:22<00:03, 23.85it/s] Loading 0: 78%|███████▊ | 282/363 [00:22<00:02, 30.84it/s] Loading 0: 79%|███████▉ | 286/363 [00:22<00:02, 30.34it/s] Loading 0: 80%|████████ | 291/363 [00:22<00:02, 33.56it/s] Loading 0: 81%|████████▏ | 295/363 [00:22<00:02, 31.92it/s] Loading 0: 82%|████████▏ | 299/363 [00:22<00:01, 32.87it/s] Loading 0: 84%|████████▎ | 304/363 [00:22<00:01, 30.09it/s] Loading 0: 85%|████████▍ | 308/363 [00:23<00:01, 28.58it/s] Loading 0: 86%|████████▌ | 312/363 [00:23<00:01, 25.84it/s] Loading 0: 88%|████████▊ | 318/363 [00:23<00:01, 31.53it/s] Loading 0: 89%|████████▊ | 322/363 [00:23<00:01, 30.43it/s] Loading 0: 90%|█████████ | 327/363 [00:23<00:01, 33.88it/s] Loading 0: 91%|█████████ | 331/363 [00:23<00:01, 31.85it/s] Loading 0: 92%|█████████▏| 335/363 [00:23<00:00, 32.61it/s] Loading 0: 93%|█████████▎| 339/363 [00:23<00:00, 33.40it/s] Loading 0: 94%|█████████▍| 343/363 [00:24<00:00, 20.05it/s] Loading 0: 96%|█████████▌| 348/363 [00:24<00:00, 21.63it/s] Loading 0: 98%|█████████▊| 355/363 [00:24<00:00, 29.11it/s] Loading 0: 99%|█████████▉| 359/363 [00:24<00:00, 29.01it/s]
Job chaiml-1030-quang-ir-lt-95143-v1-mkmlizer completed after 155.87s with status: succeeded
Stopping job with name chaiml-1030-quang-ir-lt-95143-v1-mkmlizer
Pipeline stage MKMLizer completed in 156.42s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-1030-quang-ir-lt-95143-v1
Waiting for inference service chaiml-1030-quang-ir-lt-95143-v1 to be ready
Inference service chaiml-1030-quang-ir-lt-95143-v1 ready after 120.60318779945374s
Pipeline stage MKMLDeployer completed in 121.49s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.48406982421875s
Received healthy response to inference request in 2.5374319553375244s
Received healthy response to inference request in 2.251835346221924s
Received healthy response to inference request in 2.6394641399383545s
Received healthy response to inference request in 2.4143388271331787s
5 requests
0 failed requests
5th percentile: 2.284336042404175
10th percentile: 2.3168367385864257
20th percentile: 2.3818381309509276
30th percentile: 2.428285026550293
40th percentile: 2.4561774253845217
50th percentile: 2.48406982421875
60th percentile: 2.50541467666626
70th percentile: 2.5267595291137694
80th percentile: 2.5578383922576906
90th percentile: 2.5986512660980225
95th percentile: 2.6190577030181883
99th percentile: 2.6353828525543213
mean time: 2.465428018569946
Pipeline stage StressChecker completed in 13.95s
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 0.63s
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 0.76s
Shutdown handler de-registered
chaiml-1030-quang-ir-lt_95143_v1 status is now deployed due to DeploymentManager action
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 3113.69s
Shutdown handler de-registered
chaiml-1030-quang-ir-lt_95143_v1 status is now inactive due to auto deactivation removed underperforming models