chaiml-mistral-24b-2048_63507

developer_uid: rirv938
submission_id: chaiml-mistral-24b-2048_63507_v2
model_name: chaiml-mistral-24b-2048_63507_v2
model_group: ChaiML/mistral_24b_2048_
status: torndown
timestamp: 2026-01-18T15:18:24+00:00
num_battles: 12175
num_wins: 6348
celo_rating: 1310.51
family_friendly_score: 0.5008
family_friendly_standard_error: 0.007071058760892883
submission_type: basic
model_repo: ChaiML/mistral_24b_2048_gemini_ds_v2_20k_2250_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': 0.3374550752699111, 'latency_mean': 2.9632794785499574, 'latency_p50': 2.965063452720642, 'latency_p90': 3.1682378530502318}, {'batch_size': 2, 'throughput': 0.5275673666646983, 'latency_mean': 3.7814330995082854, 'latency_p50': 3.7821143865585327, 'latency_p90': 4.013287949562073}, {'batch_size': 3, 'throughput': 0.6580078049004499, 'latency_mean': 4.548718127012253, 'latency_p50': 4.551079511642456, 'latency_p90': 4.864097714424133}, {'batch_size': 4, 'throughput': 0.7540414038197435, 'latency_mean': 5.289744762182235, 'latency_p50': 5.303185224533081, 'latency_p90': 5.688244652748107}, {'batch_size': 5, 'throughput': 0.8077223272554246, 'latency_mean': 6.152786597013473, 'latency_p50': 6.140192627906799, 'latency_p90': 6.769750714302063}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: chaiml-mistral-24b-2048_63507_v2
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/mistral_24b_2048_gemini_ds_v2_20k_2250_merged
model_size: 24B
ranking_group: single
throughput_3p7s: 0.51
us_pacific_date: 2026-01-15
win_ratio: 0.5213963039014373
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': ['</s>', '###', '\n', '<|im_start|>', 'You:', '<|im_end|>'], '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-2048-63507-v2-mkmlizer
Waiting for job on chaiml-mistral-24b-2048-63507-v2-mkmlizer to finish
chaiml-mistral-24b-2048-63507-v2-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-mistral-24b-2048-63507-v2-mkmlizer: bash: no job control in this shell
chaiml-mistral-24b-2048-63507-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-2048-63507-v2-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-mistral-24b-2048-63507-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral-24b-2048-63507-v2-mkmlizer: ║                                                                     ║
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chaiml-mistral-24b-2048-63507-v2-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-mistral-24b-2048-63507-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-mistral-24b-2048-63507-v2-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-63507-v2-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-mistral-24b-2048-63507-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-mistral-24b-2048-63507-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-mistral-24b-2048-63507-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-mistral-24b-2048-63507-v2-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-63507-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-mistral-24b-2048-63507-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-mistral-24b-2048-63507-v2-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-63507-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-mistral-24b-2048-63507-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-mistral-24b-2048-63507-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-mistral-24b-2048-63507-v2-mkmlizer: ║                                                                     ║
chaiml-mistral-24b-2048-63507-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Falling back to EndpointApi.from_submission implementation
HTTP Request: %s %s "%s %d %s"
HTTP Request: %s %s "%s %d %s"
chaiml-mistral-24b-2048-63507-v2-mkmlizer: Downloaded to shared memory in 96.741s
chaiml-mistral-24b-2048-63507-v2-mkmlizer: Checking if ChaiML/mistral_24b_2048_gemini_ds_v2_20k_2250_merged already exists in ChaiML
chaiml-mistral-24b-2048-63507-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpkm00fnws, device:0
chaiml-mistral-24b-2048-63507-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
chaiml-mistral-24b-2048-63507-v2-mkmlizer: 
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chaiml-mistral-24b-2048-63507-v2-mkmlizer: The tokenizer you are loading from '/tmp/tmpkm00fnws' 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-2048-63507-v2-mkmlizer: quantized model in 281.904s
chaiml-mistral-24b-2048-63507-v2-mkmlizer: Processed model ChaiML/mistral_24b_2048_gemini_ds_v2_20k_2250_merged in 378.646s
chaiml-mistral-24b-2048-63507-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-24b-2048-63507-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-24b-2048-63507-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-24b-2048-63507-v2/nvidia
chaiml-mistral-24b-2048-63507-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-63507-v2/nvidia/config.json
chaiml-mistral-24b-2048-63507-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-63507-v2/nvidia/special_tokens_map.json
chaiml-mistral-24b-2048-63507-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-63507-v2/nvidia/tokenizer_config.json
chaiml-mistral-24b-2048-63507-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral-24b-2048-63507-v2/nvidia/tokenizer.json
chaiml-mistral-24b-2048-63507-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-63507-v2/nvidia/flywheel_model.1.safetensors
chaiml-mistral-24b-2048-63507-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-2048-63507-v2/nvidia/flywheel_model.0.safetensors
Job chaiml-mistral-24b-2048-63507-v2-mkmlizer completed after 481.16s with status: succeeded
Stopping job with name chaiml-mistral-24b-2048-63507-v2-mkmlizer
Pipeline stage MKMLizer completed in 481.65s
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-2048-63507-v2
Waiting for inference service chaiml-mistral-24b-2048-63507-v2 to be ready
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Inference service chaiml-mistral-24b-2048-63507-v2 ready after 150.92035961151123s
Pipeline stage MKMLDeployer completed in 151.48s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5579404830932617s
Received healthy response to inference request in 2.5591821670532227s
Received healthy response to inference request in 2.3461363315582275s
Received healthy response to inference request in 2.638366222381592s
Received healthy response to inference request in 2.6910033226013184s
5 requests
0 failed requests
5th percentile: 2.388497161865234
10th percentile: 2.4308579921722413
20th percentile: 2.515579652786255
30th percentile: 2.558188819885254
40th percentile: 2.5586854934692385
50th percentile: 2.5591821670532227
60th percentile: 2.5908557891845705
70th percentile: 2.622529411315918
80th percentile: 2.648893642425537
90th percentile: 2.6699484825134276
95th percentile: 2.6804759025573732
99th percentile: 2.6888978385925295
mean time: 2.5585257053375243
Pipeline stage StressChecker completed in 14.03s
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 0.77s
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 0.64s
Shutdown handler de-registered
chaiml-mistral-24b-2048_63507_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 0.09s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-mistral-24b-2048-63507-v2-profiler
Waiting for inference service chaiml-mistral-24b-2048-63507-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 2800.79s
Shutdown handler de-registered
chaiml-mistral-24b-2048_63507_v2 status is now inactive due to auto deactivation removed underperforming models
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
chaiml-mistral-24b-2048_63507_v2 status is now torndown due to DeploymentManager action
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