developer_uid: rirv938
submission_id: chaiml-97p-3ff-chaiml-m_52689_v1
model_name: chaiml-97p-3ff-chaiml-m_52689_v1
model_group: ChaiML/97p_3ff_chaiml_mi
status: torndown
timestamp: 2026-01-17T01:58:08+00:00
num_battles: 14856
num_wins: 7929
celo_rating: 1320.03
family_friendly_score: 0.40480000000000005
family_friendly_standard_error: 0.006941713909403066
submission_type: basic
model_repo: ChaiML/97p_3ff_chaiml_mistral_24b_2048_77769_v1_cp1248_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': 0.3521413167858825, 'latency_mean': 2.839683783054352, 'latency_p50': 2.835834503173828, 'latency_p90': 3.038809561729431}, {'batch_size': 2, 'throughput': 0.560131316140125, 'latency_mean': 3.564742176532745, 'latency_p50': 3.558709740638733, 'latency_p90': 3.7973427534103394}, {'batch_size': 3, 'throughput': 0.7041381262408428, 'latency_mean': 4.2428299272060395, 'latency_p50': 4.281028389930725, 'latency_p90': 4.595718479156494}, {'batch_size': 4, 'throughput': 0.8016849554165834, 'latency_mean': 4.969713705778122, 'latency_p50': 4.9694660902023315, 'latency_p90': 5.343944096565247}, {'batch_size': 5, 'throughput': 0.8763884062163224, 'latency_mean': 5.677731068134308, 'latency_p50': 5.683346748352051, 'latency_p90': 6.17373685836792}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-97p-3ff-chaiml-m_52689_v1
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/97p_3ff_chaiml_mistral_24b_2048_77769_v1_cp1248_merged
model_size: 24B
ranking_group: single
throughput_3p7s: 0.59
us_pacific_date: 2026-01-13
win_ratio: 0.5337237479806138
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} <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-97p-3ff-chaiml-m-52689-v1-mkmlizer
Waiting for job on chaiml-97p-3ff-chaiml-m-52689-v1-mkmlizer to finish
chaiml-97p-3ff-chaiml-m-52689-v1-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-97p-3ff-chaiml-m-52689-v1-mkmlizer: bash: no job control in this shell
chaiml-97p-3ff-chaiml-m-52689-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-97p-3ff-chaiml-m-52689-v1-mkmlizer: __import__('pkg_resources').declare_namespace(__name__)
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chaiml-97p-3ff-chaiml-m-52689-v1-mkmlizer: ║ ║
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chaiml-97p-3ff-chaiml-m-52689-v1-mkmlizer: ║ ║
chaiml-97p-3ff-chaiml-m-52689-v1-mkmlizer: ║ Version: 0.30.6+torch280 ║
chaiml-97p-3ff-chaiml-m-52689-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-97p-3ff-chaiml-m-52689-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-97p-3ff-chaiml-m-52689-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-97p-3ff-chaiml-m-52689-v1-mkmlizer: ║ ║
chaiml-97p-3ff-chaiml-m-52689-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-97p-3ff-chaiml-m-52689-v1-mkmlizer: ║ belonging to: ║
chaiml-97p-3ff-chaiml-m-52689-v1-mkmlizer: ║ ║
chaiml-97p-3ff-chaiml-m-52689-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-97p-3ff-chaiml-m-52689-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-97p-3ff-chaiml-m-52689-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-97p-3ff-chaiml-m-52689-v1-mkmlizer: ║ ║
chaiml-97p-3ff-chaiml-m-52689-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-97p-3ff-chaiml-m-52689-v1-mkmlizer: Downloaded to shared memory in 94.256s
chaiml-97p-3ff-chaiml-m-52689-v1-mkmlizer: Checking if ChaiML/97p_3ff_chaiml_mistral_24b_2048_77769_v1_cp1248_merged already exists in ChaiML
chaiml-97p-3ff-chaiml-m-52689-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpduzo13cj, device:0
chaiml-97p-3ff-chaiml-m-52689-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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chaiml-97p-3ff-chaiml-m-52689-v1-mkmlizer: The tokenizer you are loading from '/tmp/tmpduzo13cj' 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-97p-3ff-chaiml-m-52689-v1-mkmlizer: quantized model in 281.515s
chaiml-97p-3ff-chaiml-m-52689-v1-mkmlizer: Processed model ChaiML/97p_3ff_chaiml_mistral_24b_2048_77769_v1_cp1248_merged in 375.772s
chaiml-97p-3ff-chaiml-m-52689-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-97p-3ff-chaiml-m-52689-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-97p-3ff-chaiml-m-52689-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-97p-3ff-chaiml-m-52689-v1/nvidia
chaiml-97p-3ff-chaiml-m-52689-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-97p-3ff-chaiml-m-52689-v1/nvidia/tokenizer.json
chaiml-97p-3ff-chaiml-m-52689-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-97p-3ff-chaiml-m-52689-v1/nvidia/flywheel_model.1.safetensors
HTTP Request: %s %s "%s %d %s"
chaiml-97p-3ff-chaiml-m-52689-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-97p-3ff-chaiml-m-52689-v1/nvidia/flywheel_model.0.safetensors
Job chaiml-97p-3ff-chaiml-m-52689-v1-mkmlizer completed after 440.61s with status: succeeded
Stopping job with name chaiml-97p-3ff-chaiml-m-52689-v1-mkmlizer
Pipeline stage MKMLizer completed in 441.23s
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-97p-3ff-chaiml-m-52689-v1
Waiting for inference service chaiml-97p-3ff-chaiml-m-52689-v1 to be ready
Inference service chaiml-97p-3ff-chaiml-m-52689-v1 ready after 181.3465449810028s
Pipeline stage MKMLDeployer completed in 181.95s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.3306450843811035s
Received healthy response to inference request in 2.9159581661224365s
Received healthy response to inference request in 3.2024223804473877s
Received healthy response to inference request in 3.1723427772521973s
Received healthy response to inference request in 3.02014422416687s
5 requests
0 failed requests
5th percentile: 2.936795377731323
10th percentile: 2.95763258934021
20th percentile: 2.9993070125579835
30th percentile: 3.0505839347839356
40th percentile: 3.1114633560180662
50th percentile: 3.1723427772521973
60th percentile: 3.1843746185302733
70th percentile: 3.1964064598083497
80th percentile: 3.228066921234131
90th percentile: 3.279356002807617
95th percentile: 3.3050005435943604
99th percentile: 3.325516176223755
mean time: 3.128302526473999
Pipeline stage StressChecker completed in 17.14s
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 0.66s
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 0.69s
Shutdown handler de-registered
chaiml-97p-3ff-chaiml-m_52689_v1 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-97p-3ff-chaiml-m-52689-v1-profiler
Waiting for inference service chaiml-97p-3ff-chaiml-m-52689-v1-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 2983.68s
Shutdown handler de-registered
Falling back to EndpointApi.from_submission implementation
chaiml-97p-3ff-chaiml-m_52689_v1 status is now torndown due to DeploymentManager action
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation