developer_uid: rirv938
submission_id: rirv938-datamix-cp624-98_9661_v1
model_name: rirv938-datamix-cp624-98_9661_v1
model_group: rirv938/datamix_cp624_98
status: torndown
timestamp: 2025-07-08T15:10:08+00:00
num_battles: 11103
num_wins: 5573
celo_rating: 1298.6
family_friendly_score: 0.5254
family_friendly_standard_error: 0.007061937977637583
submission_type: basic
model_repo: rirv938/datamix_cp624_98ff_b35_r1_reformat_high_quality_merged
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.521409645712839, 'latency_mean': 1.9177805244922639, 'latency_p50': 1.9101263284683228, 'latency_p90': 2.1221187829971315}, {'batch_size': 3, 'throughput': 1.0486960652125061, 'latency_mean': 2.84922868847847, 'latency_p50': 2.8432164192199707, 'latency_p90': 3.1436081171035766}, {'batch_size': 5, 'throughput': 1.3253425540997281, 'latency_mean': 3.7551503694057464, 'latency_p50': 3.7742501497268677, 'latency_p90': 4.1814699411392215}, {'batch_size': 6, 'throughput': 1.4392433864619625, 'latency_mean': 4.139689319133758, 'latency_p50': 4.1309919357299805, 'latency_p90': 4.612600040435791}, {'batch_size': 8, 'throughput': 1.5662476277073232, 'latency_mean': 5.0633922445774076, 'latency_p50': 5.03904116153717, 'latency_p90': 5.733780002593994}, {'batch_size': 10, 'throughput': 1.628795995288313, 'latency_mean': 6.078384630680084, 'latency_p50': 6.119143605232239, 'latency_p90': 6.771183013916016}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: rirv938-datamix-cp624-98_9661_v1
is_internal_developer: True
language_model: rirv938/datamix_cp624_98ff_b35_r1_reformat_high_quality_merged
model_size: 24B
ranking_group: single
throughput_3p7s: 1.32
us_pacific_date: 2025-07-08
win_ratio: 0.5019364135819148
generation_params: {'temperature': 1.0, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.45, 'frequency_penalty': 0.45, 'stopping_words': ['</s>', '\n', '###', 'You:'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '<|im_start|>assistant\n{message}<|im_end|>\n', 'user_template': '<|im_start|>user\nYou:{message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n', 'truncate_by_message': False}
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 rirv938-datamix-cp624-98-9661-v1-mkmlizer
Waiting for job on rirv938-datamix-cp624-98-9661-v1-mkmlizer to finish
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rirv938-datamix-cp624-98-9661-v1-mkmlizer: ║ ║
rirv938-datamix-cp624-98-9661-v1-mkmlizer: ║ Version: 0.29.15 ║
rirv938-datamix-cp624-98-9661-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
rirv938-datamix-cp624-98-9661-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
rirv938-datamix-cp624-98-9661-v1-mkmlizer: ║ https://mk1.ai ║
rirv938-datamix-cp624-98-9661-v1-mkmlizer: ║ ║
rirv938-datamix-cp624-98-9661-v1-mkmlizer: ║ The license key for the current software has been verified as ║
rirv938-datamix-cp624-98-9661-v1-mkmlizer: ║ belonging to: ║
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rirv938-datamix-cp624-98-9661-v1-mkmlizer: ║ Chai Research Corp. ║
rirv938-datamix-cp624-98-9661-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
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rirv938-datamix-cp624-98-9661-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rirv938-datamix-cp624-98-9661-v1-mkmlizer: Downloaded to shared memory in 299.124s
rirv938-datamix-cp624-98-9661-v1-mkmlizer: Checking if rirv938/datamix_cp624_98ff_b35_r1_reformat_high_quality_merged already exists in ChaiML
rirv938-datamix-cp624-98-9661-v1-mkmlizer: Creating repo ChaiML/datamix_cp624_98ff_b35_r1_reformat_high_quality_merged and uploading /tmp/tmpv8kkte3j to it
rirv938-datamix-cp624-98-9661-v1-mkmlizer: 0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:03<01:19, 3.78s/it] 9%|▉ | 2/22 [00:09<01:44, 5.21s/it] 14%|█▎ | 3/22 [00:14<01:28, 4.67s/it] 18%|█▊ | 4/22 [00:22<01:48, 6.04s/it] 23%|██▎ | 5/22 [00:26<01:30, 5.30s/it] 27%|██▋ | 6/22 [00:33<01:33, 5.85s/it] 32%|███▏ | 7/22 [00:41<01:39, 6.66s/it] 36%|███▋ | 8/22 [00:44<01:19, 5.65s/it] 41%|████ | 9/22 [00:48<01:07, 5.16s/it] 45%|████▌ | 10/22 [00:53<00:58, 4.90s/it] 50%|█████ | 11/22 [00:57<00:53, 4.82s/it] 55%|█████▍ | 12/22 [01:01<00:45, 4.55s/it] 59%|█████▉ | 13/22 [01:08<00:47, 5.31s/it] 64%|██████▎ | 14/22 [01:14<00:42, 5.25s/it] 68%|██████▊ | 15/22 [01:22<00:42, 6.10s/it] 73%|███████▎ | 16/22 [01:25<00:32, 5.36s/it] 77%|███████▋ | 17/22 [01:34<00:31, 6.30s/it] 82%|████████▏ | 18/22 [01:38<00:22, 5.68s/it] 86%|████████▋ | 19/22 [01:43<00:16, 5.50s/it] 91%|█████████ | 20/22 [01:48<00:10, 5.25s/it] 95%|█████████▌| 21/22 [01:54<00:05, 5.62s/it] 100%|██████████| 22/22 [01:56<00:00, 4.34s/it] 100%|██████████| 22/22 [01:56<00:00, 5.28s/it]
rirv938-datamix-cp624-98-9661-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpv8kkte3j, device:0
rirv938-datamix-cp624-98-9661-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rirv938-datamix-cp624-98-9661-v1-mkmlizer: quantized model in 59.644s
rirv938-datamix-cp624-98-9661-v1-mkmlizer: Processed model rirv938/datamix_cp624_98ff_b35_r1_reformat_high_quality_merged in 567.682s
rirv938-datamix-cp624-98-9661-v1-mkmlizer: creating bucket guanaco-mkml-models
rirv938-datamix-cp624-98-9661-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rirv938-datamix-cp624-98-9661-v1/nvidia/config.json
rirv938-datamix-cp624-98-9661-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rirv938-datamix-cp624-98-9661-v1/nvidia/special_tokens_map.json
rirv938-datamix-cp624-98-9661-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rirv938-datamix-cp624-98-9661-v1/nvidia/tokenizer_config.json
rirv938-datamix-cp624-98-9661-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rirv938-datamix-cp624-98-9661-v1/nvidia/tokenizer.json
rirv938-datamix-cp624-98-9661-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/rirv938-datamix-cp624-98-9661-v1/nvidia/flywheel_model.1.safetensors
rirv938-datamix-cp624-98-9661-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rirv938-datamix-cp624-98-9661-v1/nvidia/flywheel_model.0.safetensors
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Job rirv938-datamix-cp624-98-9661-v1-mkmlizer completed after 600.14s with status: succeeded
Stopping job with name rirv938-datamix-cp624-98-9661-v1-mkmlizer
Pipeline stage MKMLizer completed in 600.82s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
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Running pipeline stage MKMLDeployer
Creating inference service rirv938-datamix-cp624-98-9661-v1
Waiting for inference service rirv938-datamix-cp624-98-9661-v1 to be ready
Failed to get response for submission chaiml-mistral32-deepse_43457_v2: HTTPConnectionPool(host='chaiml-mistral32-deepse-43457-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service rirv938-datamix-cp624-98-9661-v1 ready after 200.84030199050903s
Pipeline stage MKMLDeployer completed in 201.61s
run pipeline stage %s
Running pipeline stage StressChecker
Failed to get response for submission chaiml-mistral32-deepse_43457_v2: HTTPConnectionPool(host='chaiml-mistral32-deepse-43457-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Received healthy response to inference request in 2.5003645420074463s
Received healthy response to inference request in 2.8812453746795654s
Received healthy response to inference request in 1.9816844463348389s
Received healthy response to inference request in 7.665281534194946s
Received healthy response to inference request in 2.0305914878845215s
5 requests
0 failed requests
5th percentile: 1.9914658546447754
10th percentile: 2.001247262954712
20th percentile: 2.020810079574585
30th percentile: 2.1245460987091063
40th percentile: 2.3124553203582763
50th percentile: 2.5003645420074463
60th percentile: 2.652716875076294
70th percentile: 2.8050692081451416
80th percentile: 3.8380526065826426
90th percentile: 5.751667070388795
95th percentile: 6.70847430229187
99th percentile: 7.473920087814331
mean time: 3.411833477020264
Pipeline stage StressChecker completed in 18.77s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.75s
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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 0.70s
Shutdown handler de-registered
rirv938-datamix-cp624-98_9661_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 0.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service rirv938-datamix-cp624-98-9661-v1-profiler
Waiting for inference service rirv938-datamix-cp624-98-9661-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 3456.81s
Shutdown handler de-registered
rirv938-datamix-cp624-98_9661_v1 status is now inactive due to auto deactivation removed underperforming models
rirv938-datamix-cp624-98_9661_v1 status is now torndown due to DeploymentManager action