developer_uid: rirv938
submission_id: chaiml-80p-20ff-chaiml-_89240_v2
model_name: chaiml-80p-20ff-chaiml-_89240_v2
model_group: ChaiML/80p_20ff_chaiml_m
status: torndown
timestamp: 2026-01-17T23:58:19+00:00
num_battles: 12404
num_wins: 6387
celo_rating: 1305.74
family_friendly_score: 0.4458
family_friendly_standard_error: 0.007029400543431851
submission_type: basic
model_repo: ChaiML/80p_20ff_chaiml_mistral_24b_2048_77769_v1_cp312_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': 0.34097786072241254, 'latency_mean': 2.9326732289791106, 'latency_p50': 2.944515109062195, 'latency_p90': 3.119533967971802}, {'batch_size': 2, 'throughput': 0.5371387983304982, 'latency_mean': 3.7227585065364837, 'latency_p50': 3.7110999822616577, 'latency_p90': 3.9869531869888304}, {'batch_size': 3, 'throughput': 0.6718555120059359, 'latency_mean': 4.445713491439819, 'latency_p50': 4.448430061340332, 'latency_p90': 4.775117063522338}, {'batch_size': 4, 'throughput': 0.7702686671243972, 'latency_mean': 5.169628938436508, 'latency_p50': 5.174322962760925, 'latency_p90': 5.498673224449158}, {'batch_size': 5, 'throughput': 0.8332404001889526, 'latency_mean': 5.982166222333908, 'latency_p50': 5.979591131210327, 'latency_p90': 6.564993906021118}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: chaiml-80p-20ff-chaiml-_89240_v2
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/80p_20ff_chaiml_mistral_24b_2048_77769_v1_cp312_merged
model_size: 24B
ranking_group: single
throughput_3p7s: 0.53
us_pacific_date: 2026-01-14
win_ratio: 0.5149145436955821
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': ['<|im_end|>', '###', '</s>', '\n', '<|im_start|>', 'You:'], '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} <style="funny">:', '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
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Running pipeline stage MKMLizer
Starting job with name chaiml-80p-20ff-chaiml-89240-v2-mkmlizer
Waiting for job on chaiml-80p-20ff-chaiml-89240-v2-mkmlizer to finish
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: bash: no job control in this shell
chaiml-80p-20ff-chaiml-89240-v2-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-80p-20ff-chaiml-89240-v2-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: ║                                                                     ║
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: ║                                                                     ║
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: ║                                                                     ║
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: ║                                                                     ║
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: ║                                                                     ║
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Falling back to EndpointApi.from_submission implementation
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: Downloaded to shared memory in 90.248s
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: Checking if ChaiML/80p_20ff_chaiml_mistral_24b_2048_77769_v1_cp312_merged already exists in ChaiML
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpnh394yk0, device:0
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
HTTP Request: %s %s "%s %d %s"
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Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
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chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: The tokenizer you are loading from '/tmp/tmpnh394yk0' 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-80p-20ff-chaiml-89240-v2-mkmlizer: quantized model in 282.925s
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: Processed model ChaiML/80p_20ff_chaiml_mistral_24b_2048_77769_v1_cp312_merged in 373.173s
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-80p-20ff-chaiml-89240-v2/nvidia
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-80p-20ff-chaiml-89240-v2/nvidia/config.json
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-80p-20ff-chaiml-89240-v2/nvidia/special_tokens_map.json
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-80p-20ff-chaiml-89240-v2/nvidia/tokenizer_config.json
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-80p-20ff-chaiml-89240-v2/nvidia/tokenizer.json
HTTP Request: %s %s "%s %d %s"
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-80p-20ff-chaiml-89240-v2/nvidia/flywheel_model.1.safetensors
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
HTTP Request: %s %s "%s %d %s"
Falling back to EndpointApi.from_submission implementation
HTTP Request: %s %s "%s %d %s"
chaiml-80p-20ff-chaiml-89240-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-80p-20ff-chaiml-89240-v2/nvidia/flywheel_model.0.safetensors
Job chaiml-80p-20ff-chaiml-89240-v2-mkmlizer completed after 672.73s with status: succeeded
Stopping job with name chaiml-80p-20ff-chaiml-89240-v2-mkmlizer
Pipeline stage MKMLizer completed in 674.21s
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-80p-20ff-chaiml-89240-v2
Waiting for inference service chaiml-80p-20ff-chaiml-89240-v2 to be ready
HTTP Request: %s %s "%s %d %s"
Falling back to EndpointApi.from_submission implementation
Inference service chaiml-80p-20ff-chaiml-89240-v2 ready after 150.7204692363739s
Pipeline stage MKMLDeployer completed in 151.27s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.797234296798706s
Received healthy response to inference request in 2.7444684505462646s
Received healthy response to inference request in 3.2024033069610596s
Received healthy response to inference request in 2.797595262527466s
Received healthy response to inference request in 2.9331629276275635s
5 requests
0 failed requests
5th percentile: 2.7550216197967528
10th percentile: 2.7655747890472413
20th percentile: 2.786681127548218
30th percentile: 2.797306489944458
40th percentile: 2.797450876235962
50th percentile: 2.797595262527466
60th percentile: 2.851822328567505
70th percentile: 2.906049394607544
80th percentile: 2.9870110034942625
90th percentile: 3.094707155227661
95th percentile: 3.1485552310943605
99th percentile: 3.19163369178772
mean time: 2.8949728488922117
Pipeline stage StressChecker completed in 15.96s
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 0.75s
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 0.66s
Shutdown handler de-registered
chaiml-80p-20ff-chaiml-_89240_v2 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 0.08s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-80p-20ff-chaiml-89240-v2-profiler
Waiting for inference service chaiml-80p-20ff-chaiml-89240-v2-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 2953.46s
Shutdown handler de-registered
chaiml-80p-20ff-chaiml-_89240_v2 status is now torndown due to DeploymentManager action
Falling back to EndpointApi.from_submission implementation