developer_uid: rirv938
submission_id: chaiml-mistral-24b-2048_32760_v5
model_name: chaiml-mistral-24b-2048_32760_v5
model_group: ChaiML/mistral_24b_2048_
status: torndown
timestamp: 2026-01-18T15:18:15+00:00
num_battles: 12518
num_wins: 6578
celo_rating: 1312.91
family_friendly_score: 0.495
family_friendly_standard_error: 0.007070714249635605
submission_type: basic
model_repo: ChaiML/mistral_24b_2048_opus_v1_1250_20k_merged
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 96
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.352650504471434, 'latency_mean': 2.835592497587204, 'latency_p50': 2.8102450370788574, 'latency_p90': 3.0484859704971314}, {'batch_size': 2, 'throughput': 0.5545468762996767, 'latency_mean': 3.600238415002823, 'latency_p50': 3.5981768369674683, 'latency_p90': 3.8414244651794434}, {'batch_size': 3, 'throughput': 0.6954416703796275, 'latency_mean': 4.297443308830261, 'latency_p50': 4.334089398384094, 'latency_p90': 4.646979665756225}, {'batch_size': 4, 'throughput': 0.7896861317017629, 'latency_mean': 5.043984253406524, 'latency_p50': 5.04469096660614, 'latency_p90': 5.4166405439376835}, {'batch_size': 5, 'throughput': 0.8589896566658194, 'latency_mean': 5.785682709217071, 'latency_p50': 5.825343132019043, 'latency_p90': 6.29077377319336}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-mistral-24b-2048_32760_v5
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/mistral_24b_2048_opus_v1_1250_20k_merged
model_size: 24B
ranking_group: single
throughput_3p7s: 0.58
us_pacific_date: 2026-01-15
win_ratio: 0.5254833040421792
generation_params: {'temperature': 1.0, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 60, 'presence_penalty': 0.1, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|im_end|>', 'You:', '<|im_start|>', '</s>', '###'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 96}
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', '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 chaiml-mistral-24b-2048-32760-v5-mkmlizer
Waiting for job on chaiml-mistral-24b-2048-32760-v5-mkmlizer to finish
HTTP Request: %s %s "%s %d %s"
chaiml-mistral-24b-2048-32760-v5-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-mistral-24b-2048-32760-v5-mkmlizer: bash: no job control in this shell
chaiml-mistral-24b-2048-32760-v5-mkmlizer: /root/miniconda3/envs/nvidia/lib/python3.11/site-packages/mk1/__init__.py:1: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
chaiml-mistral-24b-2048-32760-v5-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-mistral-24b-2048-32760-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral-24b-2048-32760-v5-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-32760-v5-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-mistral-24b-2048-32760-v5-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-mistral-24b-2048-32760-v5-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-mistral-24b-2048-32760-v5-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-mistral-24b-2048-32760-v5-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-mistral-24b-2048-32760-v5-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-mistral-24b-2048-32760-v5-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-mistral-24b-2048-32760-v5-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-mistral-24b-2048-32760-v5-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-32760-v5-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-mistral-24b-2048-32760-v5-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-mistral-24b-2048-32760-v5-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-mistral-24b-2048-32760-v5-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-mistral-24b-2048-32760-v5-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-32760-v5-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-mistral-24b-2048-32760-v5-mkmlizer: ║  belonging to:                                                      ║
chaiml-mistral-24b-2048-32760-v5-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-32760-v5-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-mistral-24b-2048-32760-v5-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-mistral-24b-2048-32760-v5-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-mistral-24b-2048-32760-v5-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-32760-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral-24b-2048-32760-v5-mkmlizer: Downloaded to shared memory in 92.932s
chaiml-mistral-24b-2048-32760-v5-mkmlizer: Checking if ChaiML/mistral_24b_2048_opus_v1_1250_20k_merged already exists in ChaiML
chaiml-mistral-24b-2048-32760-v5-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpz06ibqsu, device:0
chaiml-mistral-24b-2048-32760-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Falling back to EndpointApi.from_submission implementation
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HTTP Request: %s %s "%s %d %s"
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Falling back to EndpointApi.from_submission implementation
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chaiml-mistral-24b-2048-32760-v5-mkmlizer: The tokenizer you are loading from '/tmp/tmpz06ibqsu' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue.
chaiml-mistral-24b-2048-32760-v5-mkmlizer: quantized model in 282.116s
chaiml-mistral-24b-2048-32760-v5-mkmlizer: Processed model ChaiML/mistral_24b_2048_opus_v1_1250_20k_merged in 375.049s
chaiml-mistral-24b-2048-32760-v5-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-24b-2048-32760-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-24b-2048-32760-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-24b-2048-32760-v5/nvidia
chaiml-mistral-24b-2048-32760-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-32760-v5/nvidia/config.json
chaiml-mistral-24b-2048-32760-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-32760-v5/nvidia/special_tokens_map.json
chaiml-mistral-24b-2048-32760-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-32760-v5/nvidia/tokenizer_config.json
chaiml-mistral-24b-2048-32760-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-32760-v5/nvidia/tokenizer.json
chaiml-mistral-24b-2048-32760-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-32760-v5/nvidia/flywheel_model.1.safetensors
chaiml-mistral-24b-2048-32760-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-32760-v5/nvidia/flywheel_model.0.safetensors
Job chaiml-mistral-24b-2048-32760-v5-mkmlizer completed after 480.14s with status: succeeded
Stopping job with name chaiml-mistral-24b-2048-32760-v5-mkmlizer
Pipeline stage MKMLizer completed in 480.65s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-mistral-24b-2048-32760-v5
Waiting for inference service chaiml-mistral-24b-2048-32760-v5 to be ready
HTTP Request: %s %s "%s %d %s"
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Inference service chaiml-mistral-24b-2048-32760-v5 ready after 150.86588644981384s
Pipeline stage MKMLDeployer completed in 151.67s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.8324689865112305s
Received healthy response to inference request in 2.4752957820892334s
Received healthy response to inference request in 2.071263313293457s
Received healthy response to inference request in 2.434727668762207s
Received healthy response to inference request in 2.8344216346740723s
5 requests
0 failed requests
5th percentile: 1.8802278518676758
10th percentile: 1.9279867172241212
20th percentile: 2.023504447937012
30th percentile: 2.143956184387207
40th percentile: 2.289341926574707
50th percentile: 2.434727668762207
60th percentile: 2.4509549140930176
70th percentile: 2.467182159423828
80th percentile: 2.547120952606201
90th percentile: 2.690771293640137
95th percentile: 2.7625964641571046
99th percentile: 2.8200566005706786
mean time: 2.32963547706604
Pipeline stage StressChecker completed in 12.91s
run pipeline stage %s
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 0.66s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
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starting trigger_guanaco_pipeline args=%s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.64s
Shutdown handler de-registered
chaiml-mistral-24b-2048_32760_v5 status is now deployed due to DeploymentManager action
Shutdown handler registered
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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 0.08s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-mistral-24b-2048-32760-v5-profiler
Waiting for inference service chaiml-mistral-24b-2048-32760-v5-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
Generating Leaderboard row for %s
Generated Leaderboard row for %s
Pipeline stage OfflineFamilyFriendlyScorer completed in 3219.53s
Shutdown handler de-registered
chaiml-mistral-24b-2048_32760_v5 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of chaiml-mistral-24b-2048_32760_v5
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
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Checking if service chaiml-mistral-24b-2048-32760-v5 is running
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Tearing down inference service chaiml-mistral-24b-2048-32760-v5
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Service chaiml-mistral-24b-2048-32760-v5 has been torndown
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Pipeline stage MKMLDeleter completed in 1.69s
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Running pipeline stage MKMLModelDeleter
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Cleaning model data from S3
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Cleaning model data from model cache
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Deleting key chaiml-mistral-24b-2048-32760-v5/nvidia/config.json from bucket guanaco-mkml-models
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Deleting key chaiml-mistral-24b-2048-32760-v5/nvidia/flywheel_model.0.safetensors from bucket guanaco-mkml-models
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Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Pipeline stage MKMLModelDeleter completed in 6.58s
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Shutdown handler de-registered
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation