chaiml-ca18-c13f-linear-w01

developer_uid: richhx
submission_id: chaiml-ca18-c13f-linear-w01_v37
model_name: chaiml-ca18-c13f-linear-w01_v37
model_group: ChaiML/ca18-c13f-linear-
status: torndown
timestamp: 2026-01-16T21:23:21+00:00
num_battles: 11336
num_wins: 5551
celo_rating: 1289.43
family_friendly_score: 0.5207999999999999
family_friendly_standard_error: 0.007064946708928524
submission_type: basic
model_repo: ChaiML/ca18-c13f-linear-w01
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 7
max_input_tokens: 1280
max_output_tokens: 60
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.9353754964484601, 'latency_mean': 1.0690246140956878, 'latency_p50': 1.0644975900650024, 'latency_p90': 1.1935636758804322}, {'batch_size': 5, 'throughput': 2.363337736623133, 'latency_mean': 2.108345396518707, 'latency_p50': 2.1088165044784546, 'latency_p90': 2.3949450016021725}, {'batch_size': 10, 'throughput': 2.8631822339380735, 'latency_mean': 3.473573578596115, 'latency_p50': 3.4758812189102173, 'latency_p90': 4.014608573913574}, {'batch_size': 15, 'throughput': 3.0149511726704405, 'latency_mean': 4.912317576408387, 'latency_p50': 4.897260785102844, 'latency_p90': 5.748462915420532}, {'batch_size': 20, 'throughput': 3.0619534548696445, 'latency_mean': 6.439045920372009, 'latency_p50': 6.401486873626709, 'latency_p90': 7.519552779197693}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: chaiml-ca18-c13f-linear-w01_v37
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/ca18-c13f-linear-w01
model_size: 13B
ranking_group: single
throughput_3p7s: 2.92
us_pacific_date: 2026-01-13
win_ratio: 0.4896788990825688
generation_params: {'temperature': 1.0, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 60, 'presence_penalty': 0.15, 'frequency_penalty': 0.15, 'stopping_words': ['</s>', '\n', '###', 'You:'], 'max_input_tokens': 1280, 'best_of': 7, 'max_output_tokens': 60}
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': True}
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-ca18-c13f-linear-w01-v37-mkmlizer
Waiting for job on chaiml-ca18-c13f-linear-w01-v37-mkmlizer to finish
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chaiml-ca18-c13f-linear-w01-v37-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-ca18-c13f-linear-w01-v37-mkmlizer: bash: no job control in this shell
chaiml-ca18-c13f-linear-w01-v37-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-ca18-c13f-linear-w01-v37-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-ca18-c13f-linear-w01-v37-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-ca18-c13f-linear-w01-v37-mkmlizer: ║                                                                     ║
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chaiml-ca18-c13f-linear-w01-v37-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-ca18-c13f-linear-w01-v37-mkmlizer: ║                                                                     ║
chaiml-ca18-c13f-linear-w01-v37-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-ca18-c13f-linear-w01-v37-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-ca18-c13f-linear-w01-v37-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-ca18-c13f-linear-w01-v37-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-ca18-c13f-linear-w01-v37-mkmlizer: ║                                                                     ║
chaiml-ca18-c13f-linear-w01-v37-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-ca18-c13f-linear-w01-v37-mkmlizer: ║  belonging to:                                                      ║
chaiml-ca18-c13f-linear-w01-v37-mkmlizer: ║                                                                     ║
chaiml-ca18-c13f-linear-w01-v37-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-ca18-c13f-linear-w01-v37-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-ca18-c13f-linear-w01-v37-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-ca18-c13f-linear-w01-v37-mkmlizer: ║                                                                     ║
chaiml-ca18-c13f-linear-w01-v37-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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chaiml-ca18-c13f-linear-w01-v37-mkmlizer: Downloaded to shared memory in 32.033s
chaiml-ca18-c13f-linear-w01-v37-mkmlizer: Checking if ChaiML/ca18-c13f-linear-w01 already exists in ChaiML
chaiml-ca18-c13f-linear-w01-v37-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpjq4sk108, device:0
chaiml-ca18-c13f-linear-w01-v37-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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HTTP Request: %s %s "%s %d %s"
chaiml-ca18-c13f-linear-w01-v37-mkmlizer: The tokenizer you are loading from '/tmp/tmpjq4sk108' 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-ca18-c13f-linear-w01-v37-mkmlizer: quantized model in 162.077s
chaiml-ca18-c13f-linear-w01-v37-mkmlizer: Processed model ChaiML/ca18-c13f-linear-w01 in 194.110s
chaiml-ca18-c13f-linear-w01-v37-mkmlizer: creating bucket guanaco-mkml-models
chaiml-ca18-c13f-linear-w01-v37-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-ca18-c13f-linear-w01-v37-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-ca18-c13f-linear-w01-v37/nvidia
chaiml-ca18-c13f-linear-w01-v37-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-ca18-c13f-linear-w01-v37/nvidia/config.json
chaiml-ca18-c13f-linear-w01-v37-mkmlizer: cp /dev/shm/model_cache/chat_template.jinja s3://guanaco-mkml-models/chaiml-ca18-c13f-linear-w01-v37/nvidia/chat_template.jinja
chaiml-ca18-c13f-linear-w01-v37-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-ca18-c13f-linear-w01-v37/nvidia/special_tokens_map.json
chaiml-ca18-c13f-linear-w01-v37-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-ca18-c13f-linear-w01-v37/nvidia/tokenizer_config.json
chaiml-ca18-c13f-linear-w01-v37-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-ca18-c13f-linear-w01-v37/nvidia/tokenizer.json
chaiml-ca18-c13f-linear-w01-v37-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-ca18-c13f-linear-w01-v37/nvidia/flywheel_model.0.safetensors
Job chaiml-ca18-c13f-linear-w01-v37-mkmlizer completed after 268.81s with status: succeeded
Stopping job with name chaiml-ca18-c13f-linear-w01-v37-mkmlizer
Pipeline stage MKMLizer completed in 269.50s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.25s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-ca18-c13f-linear-w01-v37
Waiting for inference service chaiml-ca18-c13f-linear-w01-v37 to be ready
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Inference service chaiml-ca18-c13f-linear-w01-v37 ready after 162.10199427604675s
Pipeline stage MKMLDeployer completed in 163.34s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.6601946353912354s
Received healthy response to inference request in 1.51310133934021s
Received healthy response to inference request in 1.2237632274627686s
Received healthy response to inference request in 1.1967926025390625s
Received healthy response to inference request in 1.396430492401123s
5 requests
0 failed requests
5th percentile: 1.2021867275238036
10th percentile: 1.207580852508545
20th percentile: 1.2183691024780274
30th percentile: 1.2582966804504394
40th percentile: 1.3273635864257813
50th percentile: 1.396430492401123
60th percentile: 1.4430988311767579
70th percentile: 1.4897671699523927
80th percentile: 1.542519998550415
90th percentile: 1.6013573169708253
95th percentile: 1.6307759761810303
99th percentile: 1.6543109035491943
mean time: 1.3980564594268798
Pipeline stage StressChecker completed in 9.63s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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starting trigger_guanaco_pipeline args=%s
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.67s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.67s
Shutdown handler de-registered
chaiml-ca18-c13f-linear-w01_v37 status is now deployed due to DeploymentManager action
Shutdown handler registered
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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 1980.67s
Shutdown handler de-registered
chaiml-ca18-c13f-linear-w01_v37 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-ca18-c13f-linear-w01_v37 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