chaiml-cs-feed-score-v2_14306

developer_uid: chai_backend_admin

submission_id: chaiml-cs-feed-score-v2_14306_v2

model_name: chaiml-cs-feed-score-v2_14306_v2

model_group: ChaiML/cs-feed-score-v2-

status: inactive

timestamp: 2025-10-04T02:41:56+00:00

num_battles: 6150

num_wins: 3156

celo_rating: 1298.66

family_friendly_score: 0.4888

family_friendly_standard_error: 0.007069293599787747

submission_type: basic

model_repo: ChaiML/cs-feed-score-v2-1-full-lr2e6

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': 0.37735202595998446, 'latency_mean': 2.6499476861953735, 'latency_p50': 2.653527021408081, 'latency_p90': 2.910486578941345}, {'batch_size': 2, 'throughput': 0.5681545309712385, 'latency_mean': 3.5094559741020204, 'latency_p50': 3.5139708518981934, 'latency_p90': 3.8077245235443113}, {'batch_size': 3, 'throughput': 0.6962079775528275, 'latency_mean': 4.289928814172745, 'latency_p50': 4.2816877365112305, 'latency_p90': 4.817326927185058}, {'batch_size': 4, 'throughput': 0.7942733910795652, 'latency_mean': 5.018403123617173, 'latency_p50': 5.035823225975037, 'latency_p90': 5.771271967887879}, {'batch_size': 5, 'throughput': 0.8562566986091606, 'latency_mean': 5.819188134670258, 'latency_p50': 5.79431426525116, 'latency_p90': 6.664570903778076}]

gpu_counts: {'NVIDIA L40S': 1}

display_name: chaiml-cs-feed-score-v2_14306_v2

is_internal_developer: True

language_model: ChaiML/cs-feed-score-v2-1-full-lr2e6

model_size: 24B

ranking_group: single

throughput_3p7s: 0.61

us_pacific_date: 2025-10-03

win_ratio: 0.5131707317073171

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}\n####\n", '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-cs-feed-score-v2-14306-v2-mkmlizer
Waiting for job on chaiml-cs-feed-score-v2-14306-v2-mkmlizer to finish
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: ║                                                                     ║
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: ║                                                                     ║
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: ║                                                                     ║
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: ║                                                                     ║
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: ║                                                                     ║
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: Downloaded to shared memory in 62.434s
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: Checking if ChaiML/cs-feed-score-v2-1-full-lr2e6 already exists in ChaiML
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpl8ok66ly, device:0
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: quantized model in 41.335s
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: Processed model ChaiML/cs-feed-score-v2-1-full-lr2e6 in 103.770s
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-cs-feed-score-v2-14306-v2/nvidia
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-cs-feed-score-v2-14306-v2/nvidia/config.json
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-cs-feed-score-v2-14306-v2/nvidia/special_tokens_map.json
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-cs-feed-score-v2-14306-v2/nvidia/tokenizer_config.json
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-cs-feed-score-v2-14306-v2/nvidia/tokenizer.json
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-cs-feed-score-v2-14306-v2/nvidia/flywheel_model.1.safetensors
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-cs-feed-score-v2-14306-v2/nvidia/flywheel_model.0.safetensors
chaiml-cs-feed-score-v2-14306-v2-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:15, 22.62it/s]
Loading 0:   3%|▎         | 12/363 [00:00<00:08, 41.20it/s]
Loading 0:   5%|▍         | 18/363 [00:00<00:08, 39.51it/s]
Loading 0:   6%|▋         | 23/363 [00:00<00:10, 31.38it/s]
Loading 0:   9%|▉         | 32/363 [00:00<00:07, 43.84it/s]
Loading 0:  10%|█         | 38/363 [00:01<00:10, 30.43it/s]
Loading 0:  12%|█▏        | 43/363 [00:01<00:11, 28.90it/s]
Loading 0:  13%|█▎        | 48/363 [00:01<00:09, 32.43it/s]
Loading 0:  14%|█▍        | 52/363 [00:01<00:09, 31.48it/s]
Loading 0:  16%|█▌        | 57/363 [00:01<00:08, 34.85it/s]
Loading 0:  17%|█▋        | 61/363 [00:01<00:09, 32.38it/s]
Loading 0:  18%|█▊        | 65/363 [00:01<00:08, 33.73it/s]
Loading 0:  19%|█▉        | 70/363 [00:02<00:09, 30.27it/s]
Loading 0:  20%|██        | 74/363 [00:02<00:10, 27.14it/s]
Loading 0:  22%|██▏       | 79/363 [00:02<00:09, 31.20it/s]
Loading 0:  23%|██▎       | 83/363 [00:02<00:08, 32.47it/s]
Loading 0:  24%|██▍       | 87/363 [00:02<00:09, 28.60it/s]
Loading 0:  25%|██▌       | 92/363 [00:02<00:09, 27.92it/s]
Loading 0:  27%|██▋       | 99/363 [00:03<00:07, 35.36it/s]
Loading 0:  28%|██▊       | 103/363 [00:03<00:07, 33.27it/s]
Loading 0:  29%|██▉       | 107/363 [00:03<00:09, 28.26it/s]
Loading 0:  31%|███       | 112/363 [00:03<00:08, 30.69it/s]
Loading 0:  32%|███▏      | 116/363 [00:03<00:08, 30.80it/s]
Loading 0:  33%|███▎      | 121/363 [00:03<00:07, 31.95it/s]
Loading 0:  34%|███▍      | 125/363 [00:03<00:07, 33.38it/s]
Loading 0:  36%|███▌      | 130/363 [00:04<00:06, 33.88it/s]
Loading 0:  37%|███▋      | 134/363 [00:04<00:06, 34.91it/s]
Loading 0:  38%|███▊      | 139/363 [00:04<00:06, 35.02it/s]
Loading 0:  39%|███▉      | 143/363 [00:04<00:06, 35.88it/s]
Loading 0:  41%|████      | 149/363 [00:04<00:05, 40.94it/s]
Loading 0:  42%|████▏     | 154/363 [00:04<00:07, 27.11it/s]
Loading 0:  44%|████▎     | 158/363 [00:05<00:08, 25.40it/s]
Loading 0:  45%|████▌     | 165/363 [00:05<00:06, 32.80it/s]
Loading 0:  47%|████▋     | 169/363 [00:05<00:06, 31.57it/s]
Loading 0:  48%|████▊     | 174/363 [00:05<00:05, 34.71it/s]
Loading 0:  49%|████▉     | 178/363 [00:05<00:05, 33.09it/s]
Loading 0:  50%|█████     | 182/363 [00:05<00:05, 33.92it/s]
Loading 0:  52%|█████▏    | 187/363 [00:05<00:05, 30.50it/s]
Loading 0:  53%|█████▎    | 191/363 [00:05<00:05, 29.76it/s]
Loading 0:  54%|█████▎    | 195/363 [00:06<00:06, 26.84it/s]
Loading 0:  55%|█████▌    | 201/363 [00:18<02:12,  1.23it/s]
Loading 0:  56%|█████▌    | 203/363 [00:19<01:53,  1.41it/s]
Loading 0:  57%|█████▋    | 208/363 [00:19<01:12,  2.14it/s]
Loading 0:  58%|█████▊    | 212/363 [00:19<00:53,  2.85it/s]
Loading 0:  60%|██████    | 218/363 [00:19<00:32,  4.44it/s]
Loading 0:  61%|██████    | 222/363 [00:19<00:24,  5.80it/s]
Loading 0:  62%|██████▏   | 226/363 [00:19<00:19,  7.13it/s]
Loading 0:  63%|██████▎   | 230/363 [00:20<00:15,  8.78it/s]
Loading 0:  65%|██████▌   | 237/363 [00:20<00:09, 13.59it/s]
Loading 0:  66%|██████▋   | 241/363 [00:20<00:07, 15.61it/s]
Loading 0:  68%|██████▊   | 246/363 [00:20<00:05, 19.61it/s]
Loading 0:  69%|██████▉   | 250/363 [00:20<00:05, 21.23it/s]
Loading 0:  70%|███████   | 255/363 [00:20<00:04, 25.61it/s]
Loading 0:  71%|███████▏  | 259/363 [00:20<00:03, 26.48it/s]
Loading 0:  73%|███████▎  | 266/363 [00:20<00:02, 33.75it/s]
Loading 0:  75%|███████▍  | 271/363 [00:21<00:03, 25.06it/s]
Loading 0:  76%|███████▌  | 275/363 [00:21<00:03, 24.16it/s]
Loading 0:  78%|███████▊  | 282/363 [00:21<00:02, 31.28it/s]
Loading 0:  79%|███████▉  | 286/363 [00:21<00:02, 30.78it/s]
Loading 0:  80%|████████  | 291/363 [00:21<00:02, 34.15it/s]
Loading 0:  81%|████████▏ | 295/363 [00:21<00:02, 31.87it/s]
Loading 0:  82%|████████▏ | 299/363 [00:22<00:01, 32.78it/s]
Loading 0:  84%|████████▎ | 304/363 [00:22<00:01, 29.81it/s]
Loading 0:  85%|████████▍ | 308/363 [00:22<00:01, 29.17it/s]
Loading 0:  86%|████████▌ | 312/363 [00:22<00:01, 26.26it/s]
Loading 0:  88%|████████▊ | 318/363 [00:22<00:01, 32.05it/s]
Loading 0:  89%|████████▊ | 322/363 [00:22<00:01, 30.84it/s]
Loading 0:  90%|████████▉ | 326/363 [00:23<00:01, 32.61it/s]
Loading 0:  91%|█████████ | 330/363 [00:23<00:01, 26.48it/s]
Loading 0:  92%|█████████▏| 334/363 [00:23<00:01, 28.07it/s]
Loading 0:  93%|█████████▎| 338/363 [00:23<00:00, 26.01it/s]
Loading 0:  94%|█████████▍| 341/363 [00:23<00:01, 17.09it/s]
Loading 0:  96%|█████████▌| 347/363 [00:24<00:00, 22.84it/s]
Loading 0:  96%|█████████▋| 350/363 [00:24<00:00, 23.76it/s]
Loading 0:  98%|█████████▊| 355/363 [00:24<00:00, 28.48it/s]
Loading 0:  99%|█████████▉| 359/363 [00:24<00:00, 28.87it/s]
                                                            
Job chaiml-cs-feed-score-v2-14306-v2-mkmlizer completed after 206.3s with status: succeeded
Stopping job with name chaiml-cs-feed-score-v2-14306-v2-mkmlizer
Pipeline stage MKMLizer completed in 206.80s
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-cs-feed-score-v2-14306-v2
Waiting for inference service chaiml-cs-feed-score-v2-14306-v2 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-cs-feed-score-v2-14306-v2 ready after 60.300666093826294s
Pipeline stage MKMLDeployer completed in 60.82s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4948418140411377s
Received healthy response to inference request in 2.421999454498291s
Received healthy response to inference request in 2.417417526245117s
Received healthy response to inference request in 2.1373658180236816s
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', '')
Received healthy response to inference request in 2.646324872970581s
5 requests
0 failed requests
5th percentile: 2.193376159667969
10th percentile: 2.249386501312256
20th percentile: 2.36140718460083
30th percentile: 2.418333911895752
40th percentile: 2.4201666831970217
50th percentile: 2.421999454498291
60th percentile: 2.4511363983154295
70th percentile: 2.4802733421325684
80th percentile: 2.525138425827026
90th percentile: 2.5857316493988036
95th percentile: 2.6160282611846926
99th percentile: 2.640265550613403
mean time: 2.423589897155762
Pipeline stage StressChecker completed in 13.92s
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 0.59s
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 0.85s
Shutdown handler de-registered
chaiml-cs-feed-score-v2_14306_v2 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 2911.72s
Shutdown handler de-registered
chaiml-cs-feed-score-v2_14306_v2 status is now inactive due to auto deactivation removed underperforming models