chaiml-mistral-24b-2048_84165

developer_uid: rirv938
submission_id: chaiml-mistral-24b-2048_84165_v2
model_name: chaiml-mistral-24b-2048_84165_v2
model_group: ChaiML/mistral_24b_2048_
status: inactive
timestamp: 2026-01-08T05:17:21+00:00
num_battles: 12546
num_wins: 6233
celo_rating: 1293.12
family_friendly_score: 0.5232
family_friendly_standard_error: 0.007063451847361883
submission_type: basic
model_repo: ChaiML/mistral_24b_2048_old_dataset_v1_344_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': 0.33915333501929, 'latency_mean': 2.9484542858600618, 'latency_p50': 2.944538116455078, 'latency_p90': 3.1650905132293703}, {'batch_size': 2, 'throughput': 0.5333227666617218, 'latency_mean': 3.7486713945865633, 'latency_p50': 3.752996802330017, 'latency_p90': 3.978667902946472}, {'batch_size': 3, 'throughput': 0.6632997734273529, 'latency_mean': 4.511003011465073, 'latency_p50': 4.486242294311523, 'latency_p90': 5.1294993400573725}, {'batch_size': 4, 'throughput': 0.7610167891296729, 'latency_mean': 5.240313693284988, 'latency_p50': 5.226199507713318, 'latency_p90': 5.64880313873291}, {'batch_size': 5, 'throughput': 0.8175252309051453, 'latency_mean': 6.1019015371799465, 'latency_p50': 6.090963244438171, 'latency_p90': 6.895276951789856}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: chaiml-mistral-24b-2048_84165_v2
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/mistral_24b_2048_old_dataset_v1_344_merged
model_size: 24B
ranking_group: single
throughput_3p7s: 0.52
us_pacific_date: 2026-01-07
win_ratio: 0.49681173282321056
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_start|>', '\n', '###', '<|im_end|>', 'You:', '</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-2048-84165-v2-mkmlizer
Waiting for job on chaiml-mistral-24b-2048-84165-v2-mkmlizer to finish
chaiml-mistral-24b-2048-84165-v2-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-mistral-24b-2048-84165-v2-mkmlizer: bash: no job control in this shell
chaiml-mistral-24b-2048-84165-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-mistral-24b-2048-84165-v2-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-mistral-24b-2048-84165-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral-24b-2048-84165-v2-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-84165-v2-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
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chaiml-mistral-24b-2048-84165-v2-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-mistral-24b-2048-84165-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-mistral-24b-2048-84165-v2-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-84165-v2-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-mistral-24b-2048-84165-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-mistral-24b-2048-84165-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-mistral-24b-2048-84165-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-mistral-24b-2048-84165-v2-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-84165-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-mistral-24b-2048-84165-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-mistral-24b-2048-84165-v2-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-84165-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-mistral-24b-2048-84165-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-mistral-24b-2048-84165-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-mistral-24b-2048-84165-v2-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-84165-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral-24b-2048-84165-v2-mkmlizer: Downloaded to shared memory in 88.830s
chaiml-mistral-24b-2048-84165-v2-mkmlizer: Checking if ChaiML/mistral_24b_2048_old_dataset_v1_344_merged already exists in ChaiML
chaiml-mistral-24b-2048-84165-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp3z2zt3o5, device:0
chaiml-mistral-24b-2048-84165-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral-24b-2048-84165-v2-mkmlizer: 
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chaiml-mistral-24b-2048-84165-v2-mkmlizer: The tokenizer you are loading from '/tmp/tmp3z2zt3o5' 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-2048-84165-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-24b-2048-84165-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-24b-2048-84165-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-24b-2048-84165-v2/nvidia
chaiml-mistral-24b-2048-84165-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-84165-v2/nvidia/config.json
chaiml-mistral-24b-2048-84165-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-84165-v2/nvidia/special_tokens_map.json
chaiml-mistral-24b-2048-84165-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-84165-v2/nvidia/tokenizer_config.json
chaiml-mistral-24b-2048-84165-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-84165-v2/nvidia/tokenizer.json
chaiml-mistral-24b-2048-84165-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-84165-v2/nvidia/flywheel_model.1.safetensors
chaiml-mistral-24b-2048-84165-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-84165-v2/nvidia/flywheel_model.0.safetensors
Job chaiml-mistral-24b-2048-84165-v2-mkmlizer completed after 509.68s with status: succeeded
Stopping job with name chaiml-mistral-24b-2048-84165-v2-mkmlizer
Pipeline stage MKMLizer completed in 510.20s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-mistral-24b-2048-84165-v2
Waiting for inference service chaiml-mistral-24b-2048-84165-v2 to be ready
Inference service chaiml-mistral-24b-2048-84165-v2 ready after 321.35289311408997s
Pipeline stage MKMLDeployer completed in 321.84s
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 2.7750251293182373s
Received healthy response to inference request in 1.6142725944519043s
Received healthy response to inference request in 1.5105438232421875s
Received healthy response to inference request in 2.381394386291504s
5 requests
1 failed requests
5th percentile: 1.5312895774841309
10th percentile: 1.5520353317260742
20th percentile: 1.593526840209961
30th percentile: 1.7676969528198243
40th percentile: 2.074545669555664
50th percentile: 2.381394386291504
60th percentile: 2.5388466835021974
70th percentile: 2.6962989807128905
80th percentile: 6.252656698226932
90th percentile: 13.207919836044313
95th percentile: 16.685551404953
99th percentile: 19.467656660079957
mean time: 5.6888837814331055
%s, retrying in %s seconds...
Received healthy response to inference request in 1.352942943572998s
Received healthy response to inference request in 1.6341471672058105s
Received healthy response to inference request in 2.5165112018585205s
Received healthy response to inference request in 1.7621386051177979s
Received healthy response to inference request in 2.5832321643829346s
5 requests
0 failed requests
5th percentile: 1.4091837882995606
10th percentile: 1.4654246330261231
20th percentile: 1.577906322479248
30th percentile: 1.659745454788208
40th percentile: 1.710942029953003
50th percentile: 1.7621386051177979
60th percentile: 2.0638876438140867
70th percentile: 2.3656366825103756
80th percentile: 2.5298553943634032
90th percentile: 2.556543779373169
95th percentile: 2.569887971878052
99th percentile: 2.580563325881958
mean time: 1.9697944164276122
Pipeline stage StressChecker completed in 42.33s
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 0.65s
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 0.74s
Shutdown handler de-registered
chaiml-mistral-24b-2048_84165_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 0.09s
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-2048-84165-v2-profiler
Waiting for inference service chaiml-mistral-24b-2048-84165-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 2611.46s
Shutdown handler de-registered
chaiml-mistral-24b-2048_84165_v2 status is now inactive due to auto deactivation removed underperforming models