developer_uid: rirv938
submission_id: chaiml-100p-0ff-chaiml-_83177_v1
model_name: chaiml-100p-0ff-chaiml-_83177_v1
model_group: ChaiML/100p_0ff_chaiml_m
status: torndown
timestamp: 2026-01-16T02:18:08+00:00
num_battles: 12776
num_wins: 6857
celo_rating: 9999.0
family_friendly_score: 0.4014
family_friendly_standard_error: 0.006932215230357464
submission_type: basic
model_repo: ChaiML/100p_0ff_chaiml_mistral_24b_2048_77769_v1_cp936_merge
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': 0.3509025815181317, 'latency_mean': 2.849724326133728, 'latency_p50': 2.8356257677078247, 'latency_p90': 3.0500375270843505}, {'batch_size': 2, 'throughput': 0.5526367780485708, 'latency_mean': 3.6111803543567658, 'latency_p50': 3.6152186393737793, 'latency_p90': 3.819443702697754}, {'batch_size': 3, 'throughput': 0.701618853021749, 'latency_mean': 4.266016105413437, 'latency_p50': 4.270726799964905, 'latency_p90': 4.529728651046753}, {'batch_size': 4, 'throughput': 0.7878187569822045, 'latency_mean': 5.067695913314819, 'latency_p50': 5.068434119224548, 'latency_p90': 5.385538411140442}, {'batch_size': 5, 'throughput': 0.866374137796354, 'latency_mean': 5.758875106573105, 'latency_p50': 5.7585608959198, 'latency_p90': 6.449973368644715}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-100p-0ff-chaiml-_83177_v1
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/100p_0ff_chaiml_mistral_24b_2048_77769_v1_cp936_merge
model_size: 24B
ranking_group: single
throughput_3p7s: 0.58
us_pacific_date: 2026-01-12
win_ratio: 0.5367094552285535
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|>', '###', '<|im_start|>', 'You:', '</s>', '\n'], '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
Running pipeline stage MKMLizer
Starting job with name chaiml-100p-0ff-chaiml-83177-v1-mkmlizer
Waiting for job on chaiml-100p-0ff-chaiml-83177-v1-mkmlizer to finish
chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: bash: no job control in this shell
chaiml-100p-0ff-chaiml-83177-v1-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-100p-0ff-chaiml-83177-v1-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: ║                                                                     ║
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chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: ║                                                                     ║
chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: ║                                                                     ║
chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: ║                                                                     ║
chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: ║                                                                     ║
chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: Downloaded to shared memory in 117.908s
chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: Checking if ChaiML/100p_0ff_chaiml_mistral_24b_2048_77769_v1_cp936_merge already exists in ChaiML
chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp78yp6xky, device:0
chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: The tokenizer you are loading from '/tmp/tmp78yp6xky' 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-100p-0ff-chaiml-83177-v1-mkmlizer: quantized model in 281.930s
chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: Processed model ChaiML/100p_0ff_chaiml_mistral_24b_2048_77769_v1_cp936_merge in 399.838s
chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-100p-0ff-chaiml-83177-v1/nvidia
chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-100p-0ff-chaiml-83177-v1/nvidia/config.json
chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-100p-0ff-chaiml-83177-v1/nvidia/tokenizer_config.json
chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-100p-0ff-chaiml-83177-v1/nvidia/special_tokens_map.json
chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-100p-0ff-chaiml-83177-v1/nvidia/tokenizer.json
chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-100p-0ff-chaiml-83177-v1/nvidia/flywheel_model.1.safetensors
chaiml-100p-0ff-chaiml-83177-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-100p-0ff-chaiml-83177-v1/nvidia/flywheel_model.0.safetensors
Job chaiml-100p-0ff-chaiml-83177-v1-mkmlizer completed after 493.12s with status: succeeded
Stopping job with name chaiml-100p-0ff-chaiml-83177-v1-mkmlizer
Pipeline stage MKMLizer completed in 494.03s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-100p-0ff-chaiml-83177-v1
Waiting for inference service chaiml-100p-0ff-chaiml-83177-v1 to be ready
Tearing down inference service chaiml-100p-0ff-chaiml-83177-v1
%s, retrying in %s seconds...
Creating inference service chaiml-100p-0ff-chaiml-83177-v1
Waiting for inference service chaiml-100p-0ff-chaiml-83177-v1 to be ready
HTTP Request: %s %s "%s %d %s"
Inference service chaiml-100p-0ff-chaiml-83177-v1 ready after 150.84452414512634s
Pipeline stage MKMLDeployer completed in 171.90s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 2.896308422088623s
Received healthy response to inference request in 2.7545440196990967s
Received healthy response to inference request in 2.9069292545318604s
Received healthy response to inference request in 3.0353381633758545s
5 requests
1 failed requests
5th percentile: 2.782896900177002
10th percentile: 2.811249780654907
20th percentile: 2.867955541610718
30th percentile: 2.8984325885772706
40th percentile: 2.9026809215545653
50th percentile: 2.9069292545318604
60th percentile: 2.958292818069458
70th percentile: 3.009656381607056
80th percentile: 6.546981525421145
90th percentile: 13.57026824951172
95th percentile: 17.081911611557004
99th percentile: 19.891226301193235
mean time: 6.437334966659546
%s, retrying in %s seconds...
Received healthy response to inference request in 3.457974672317505s
Received healthy response to inference request in 2.917978525161743s
Received healthy response to inference request in 2.8656115531921387s
Received healthy response to inference request in 3.515916109085083s
Received healthy response to inference request in 3.5416882038116455s
5 requests
0 failed requests
5th percentile: 2.8760849475860595
10th percentile: 2.8865583419799803
20th percentile: 2.9075051307678224
30th percentile: 3.0259777545928954
40th percentile: 3.2419762134552004
50th percentile: 3.457974672317505
60th percentile: 3.481151247024536
70th percentile: 3.504327821731567
80th percentile: 3.5210705280303953
90th percentile: 3.5313793659210204
95th percentile: 3.536533784866333
99th percentile: 3.540657320022583
mean time: 3.259833812713623
Pipeline stage StressChecker completed in 88.35s
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 5.25s
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 4.89s
Shutdown handler de-registered
chaiml-100p-0ff-chaiml-_83177_v1 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
Generating Leaderboard row for %s
Generated Leaderboard row for %s
Pipeline stage OfflineFamilyFriendlyScorer completed in 2981.37s
Shutdown handler de-registered
chaiml-100p-0ff-chaiml-_83177_v1 status is now inactive due to auto deactivation removed underperforming models
Falling back to EndpointApi.from_submission implementation
chaiml-100p-0ff-chaiml-_83177_v1 status is now torndown due to DeploymentManager action
Falling back to EndpointApi.from_submission implementation