chaiml-1101-quang-ir-mi_34226

developer_uid: chai_backend_admin

submission_id: chaiml-1101-quang-ir-mi_34226_v1

model_name: training123

model_group: ChaiML/1101-quang-ir-mix

status: inactive

timestamp: 2025-11-02T04:03:46+00:00

num_battles: 5551

num_wins: 2778

celo_rating: 1301.71

family_friendly_score: 0.0

family_friendly_standard_error: 0.0

submission_type: basic

model_repo: ChaiML/1101-quang-ir-mixnov1all-cld-iq8-adh9-onlyh3

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': 0.37524331986080955, 'latency_mean': 2.6648172688484193, 'latency_p50': 2.6775113344192505, 'latency_p90': 2.917146158218384}, {'batch_size': 2, 'throughput': 0.5696952675510327, 'latency_mean': 3.5077572226524354, 'latency_p50': 3.500163197517395, 'latency_p90': 3.8278260946273805}, {'batch_size': 3, 'throughput': 0.7019457383274016, 'latency_mean': 4.259421397447586, 'latency_p50': 4.248108863830566, 'latency_p90': 4.653905749320984}, {'batch_size': 4, 'throughput': 0.7923571025505365, 'latency_mean': 5.031070367097855, 'latency_p50': 5.024565696716309, 'latency_p90': 5.869637298583984}, {'batch_size': 5, 'throughput': 0.8526349219100599, 'latency_mean': 5.832249540090561, 'latency_p50': 5.831904292106628, 'latency_p90': 6.686840057373047}]

gpu_counts: {'NVIDIA L40S': 1}

display_name: training123

is_internal_developer: True

language_model: ChaiML/1101-quang-ir-mixnov1all-cld-iq8-adh9-onlyh3

model_size: 24B

ranking_group: single

throughput_3p7s: 0.61

us_pacific_date: 2025-11-01

win_ratio: 0.5004503693028283

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>', '\n', 'You:', '####'], '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-1101-quang-ir-mi-34226-v1-mkmlizer
Waiting for job on chaiml-1101-quang-ir-mi-34226-v1-mkmlizer to finish
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: ║                                                                     ║
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: ║                                                                     ║
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: ║                                                                     ║
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: ║                                                                     ║
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: ║                                                                     ║
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: Downloaded to shared memory in 60.079s
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: Checking if ChaiML/1101-quang-ir-mixnov1all-cld-iq8-adh9-onlyh3 already exists in ChaiML
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpjxcbb_s8, device:0
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: quantized model in 42.023s
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: Processed model ChaiML/1101-quang-ir-mixnov1all-cld-iq8-adh9-onlyh3 in 102.102s
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-1101-quang-ir-mi-34226-v1/nvidia
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-1101-quang-ir-mi-34226-v1/nvidia/config.json
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-1101-quang-ir-mi-34226-v1/nvidia/special_tokens_map.json
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-1101-quang-ir-mi-34226-v1/nvidia/tokenizer_config.json
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-1101-quang-ir-mi-34226-v1/nvidia/flywheel_model.1.safetensors
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-1101-quang-ir-mi-34226-v1/nvidia/flywheel_model.0.safetensors
chaiml-1101-quang-ir-mi-34226-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:16, 21.39it/s]
Loading 0:   3%|▎         | 12/363 [00:00<00:08, 39.40it/s]
Loading 0:   5%|▍         | 17/363 [00:00<00:09, 36.12it/s]
Loading 0:   6%|▌         | 22/363 [00:00<00:09, 35.69it/s]
Loading 0:   7%|▋         | 26/363 [00:00<00:09, 36.14it/s]
Loading 0:   9%|▉         | 32/363 [00:00<00:07, 41.61it/s]
Loading 0:  10%|█         | 37/363 [00:01<00:12, 25.31it/s]
Loading 0:  11%|█▏        | 41/363 [00:01<00:13, 23.49it/s]
Loading 0:  13%|█▎        | 48/363 [00:01<00:10, 31.04it/s]
Loading 0:  14%|█▍        | 52/363 [00:01<00:10, 30.24it/s]
Loading 0:  16%|█▌        | 57/363 [00:01<00:09, 33.93it/s]
Loading 0:  17%|█▋        | 61/363 [00:01<00:09, 32.46it/s]
Loading 0:  18%|█▊        | 65/363 [00:02<00:08, 33.53it/s]
Loading 0:  19%|█▉        | 70/363 [00:02<00:10, 28.94it/s]
Loading 0:  20%|██        | 74/363 [00:02<00:14, 20.25it/s]
Loading 0:  22%|██▏       | 79/363 [00:02<00:11, 24.62it/s]
Loading 0:  23%|██▎       | 83/363 [00:02<00:10, 27.04it/s]
Loading 0:  24%|██▍       | 87/363 [00:03<00:10, 25.25it/s]
Loading 0:  25%|██▌       | 92/363 [00:03<00:10, 25.69it/s]
Loading 0:  27%|██▋       | 99/363 [00:03<00:07, 33.13it/s]
Loading 0:  28%|██▊       | 103/363 [00:03<00:08, 31.01it/s]
Loading 0:  29%|██▉       | 107/363 [00:03<00:09, 26.75it/s]
Loading 0:  31%|███       | 112/363 [00:03<00:08, 29.54it/s]
Loading 0:  32%|███▏      | 116/363 [00:03<00:08, 30.56it/s]
Loading 0:  33%|███▎      | 120/363 [00:04<00:07, 32.56it/s]
Loading 0:  34%|███▍      | 124/363 [00:04<00:07, 31.00it/s]
Loading 0:  36%|███▌      | 129/363 [00:04<00:06, 34.64it/s]
Loading 0:  37%|███▋      | 133/363 [00:04<00:07, 32.50it/s]
Loading 0:  38%|███▊      | 138/363 [00:04<00:06, 35.73it/s]
Loading 0:  39%|███▉      | 142/363 [00:04<00:06, 33.13it/s]
Loading 0:  41%|████      | 149/363 [00:04<00:05, 38.95it/s]
Loading 0:  42%|████▏     | 153/363 [00:05<00:08, 24.66it/s]
Loading 0:  44%|████▎     | 158/363 [00:05<00:08, 25.20it/s]
Loading 0:  45%|████▌     | 165/363 [00:05<00:06, 32.24it/s]
Loading 0:  47%|████▋     | 169/363 [00:05<00:06, 31.03it/s]
Loading 0:  48%|████▊     | 174/363 [00:05<00:05, 34.17it/s]
Loading 0:  49%|████▉     | 178/363 [00:05<00:05, 32.42it/s]
Loading 0:  50%|█████     | 182/363 [00:05<00:05, 33.25it/s]
Loading 0:  52%|█████▏    | 187/363 [00:06<00:05, 30.16it/s]
Loading 0:  53%|█████▎    | 191/363 [00:06<00:05, 29.42it/s]
Loading 0:  54%|█████▎    | 195/363 [00:06<00:06, 26.79it/s]
Loading 0:  55%|█████▌    | 201/363 [00:19<02:12,  1.22it/s]
Loading 0:  56%|█████▌    | 203/363 [00:19<01:53,  1.40it/s]
Loading 0:  57%|█████▋    | 208/363 [00:19<01:12,  2.13it/s]
Loading 0:  58%|█████▊    | 211/363 [00:19<00:56,  2.68it/s]
Loading 0:  59%|█████▉    | 214/363 [00:19<00:43,  3.45it/s]
Loading 0:  60%|██████    | 218/363 [00:20<00:29,  4.86it/s]
Loading 0:  61%|██████    | 221/363 [00:20<00:23,  6.16it/s]
Loading 0:  62%|██████▏   | 224/363 [00:20<00:18,  7.36it/s]
Loading 0:  63%|██████▎   | 229/363 [00:20<00:12, 10.73it/s]
Loading 0:  64%|██████▍   | 232/363 [00:20<00:10, 12.64it/s]
Loading 0:  65%|██████▌   | 237/363 [00:20<00:07, 17.27it/s]
Loading 0:  66%|██████▋   | 241/363 [00:20<00:06, 19.70it/s]
Loading 0:  68%|██████▊   | 246/363 [00:20<00:04, 24.49it/s]
Loading 0:  69%|██████▉   | 250/363 [00:21<00:04, 25.41it/s]
Loading 0:  70%|███████   | 255/363 [00:21<00:03, 29.84it/s]
Loading 0:  71%|███████▏  | 259/363 [00:21<00:03, 29.43it/s]
Loading 0:  73%|███████▎  | 266/363 [00:21<00:02, 36.49it/s]
Loading 0:  75%|███████▍  | 271/363 [00:21<00:03, 25.92it/s]
Loading 0:  76%|███████▌  | 275/363 [00:21<00:03, 24.52it/s]
Loading 0:  78%|███████▊  | 282/363 [00:22<00:02, 31.68it/s]
Loading 0:  79%|███████▉  | 286/363 [00:22<00:02, 30.87it/s]
Loading 0:  80%|████████  | 291/363 [00:22<00:02, 33.37it/s]
Loading 0:  81%|████████▏ | 295/363 [00:22<00:02, 31.83it/s]
Loading 0:  82%|████████▏ | 299/363 [00:22<00:01, 32.74it/s]
Loading 0:  84%|████████▎ | 304/363 [00:22<00:01, 29.93it/s]
Loading 0:  85%|████████▍ | 308/363 [00:22<00:01, 29.26it/s]
Loading 0:  86%|████████▌ | 312/363 [00:23<00:01, 26.12it/s]
Loading 0:  88%|████████▊ | 318/363 [00:23<00:01, 31.92it/s]
Loading 0:  89%|████████▊ | 322/363 [00:23<00:01, 31.20it/s]
Loading 0:  90%|█████████ | 327/363 [00:23<00:01, 34.66it/s]
Loading 0:  91%|█████████ | 331/363 [00:23<00:00, 32.17it/s]
Loading 0:  92%|█████████▏| 335/363 [00:23<00:00, 32.92it/s]
Loading 0:  93%|█████████▎| 339/363 [00:23<00:00, 33.49it/s]
Loading 0:  94%|█████████▍| 343/363 [00:24<00:00, 20.36it/s]
Loading 0:  96%|█████████▌| 348/363 [00:24<00:00, 22.06it/s]
Loading 0:  98%|█████████▊| 355/363 [00:24<00:00, 29.55it/s]
Loading 0:  99%|█████████▉| 359/363 [00:24<00:00, 29.21it/s]
                                                            
Job chaiml-1101-quang-ir-mi-34226-v1-mkmlizer completed after 175.41s with status: succeeded
Stopping job with name chaiml-1101-quang-ir-mi-34226-v1-mkmlizer
Pipeline stage MKMLizer completed in 175.97s
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-1101-quang-ir-mi-34226-v1
Waiting for inference service chaiml-1101-quang-ir-mi-34226-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-1101-quang-ir-mi-34226-v1 ready after 140.52702593803406s
Pipeline stage MKMLDeployer completed in 141.09s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4600467681884766s
Received healthy response to inference request in 2.118217945098877s
Received healthy response to inference request in 2.680561065673828s
Received healthy response to inference request in 2.5608620643615723s
Received healthy response to inference request in 2.219572067260742s
5 requests
0 failed requests
5th percentile: 2.13848876953125
10th percentile: 2.158759593963623
20th percentile: 2.199301242828369
30th percentile: 2.2676670074462892
40th percentile: 2.363856887817383
50th percentile: 2.4600467681884766
60th percentile: 2.500372886657715
70th percentile: 2.540699005126953
80th percentile: 2.5848018646240236
90th percentile: 2.632681465148926
95th percentile: 2.6566212654113768
99th percentile: 2.675773105621338
mean time: 2.407851982116699
Pipeline stage StressChecker completed in 13.40s
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 0.70s
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 0.67s
Shutdown handler de-registered
chaiml-1101-quang-ir-mi_34226_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 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.09s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-1101-quang-ir-mi-34226-v1-profiler
Waiting for inference service chaiml-1101-quang-ir-mi-34226-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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5667.84s
Shutdown handler de-registered