developer_uid: richhx
submission_id: chaiml-4d70-fd43-linear-w01_v28
model_name: chaiml-4d70-fd43-linear-w01_v28
model_group: ChaiML/4d70-fd43-linear-
status: torndown
timestamp: 2026-01-16T21:38:29+00:00
num_battles: 12664
num_wins: 6489
celo_rating: 1305.39
family_friendly_score: 0.5136000000000001
family_friendly_standard_error: 0.007068451598476148
submission_type: basic
model_repo: ChaiML/4d70-fd43-linear-w01
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1800
max_output_tokens: 74
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.6252558999284544, 'latency_mean': 1.5992761135101319, 'latency_p50': 1.3866710662841797, 'latency_p90': 1.528730845451355}, {'batch_size': 3, 'throughput': 1.369399294699472, 'latency_mean': 2.1815881967544555, 'latency_p50': 2.201457977294922, 'latency_p90': 2.4224351882934565}, {'batch_size': 5, 'throughput': 1.680019688852263, 'latency_mean': 2.9602353155612944, 'latency_p50': 2.943924069404602, 'latency_p90': 3.3735485553741453}, {'batch_size': 6, 'throughput': 1.7962999011110932, 'latency_mean': 3.3218224346637726, 'latency_p50': 3.3072972297668457, 'latency_p90': 3.646881866455078}, {'batch_size': 8, 'throughput': 1.9011901866207015, 'latency_mean': 4.179902703762054, 'latency_p50': 4.226878046989441, 'latency_p90': 4.6080296516418455}, {'batch_size': 10, 'throughput': 1.9628813376442085, 'latency_mean': 5.039591633081436, 'latency_p50': 5.070389986038208, 'latency_p90': 5.578934168815612}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: chaiml-4d70-fd43-linear-w01_v28
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/4d70-fd43-linear-w01
model_size: 13B
ranking_group: single
throughput_3p7s: 1.86
us_pacific_date: 2026-01-13
win_ratio: 0.5123973468098547
generation_params: {'temperature': 0.85, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.08, 'frequency_penalty': 0.08, 'stopping_words': ['\n', '###', '<|im_start|>', '</s>', '<|im_end|>'], 'max_input_tokens': 1800, 'best_of': 8, 'max_output_tokens': 74}
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-4d70-fd43-linear-w01-v28-mkmlizer
Waiting for job on chaiml-4d70-fd43-linear-w01-v28-mkmlizer to finish
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: bash: no job control in this shell
chaiml-4d70-fd43-linear-w01-v28-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-4d70-fd43-linear-w01-v28-mkmlizer: __import__('pkg_resources').declare_namespace(__name__)
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chaiml-4d70-fd43-linear-w01-v28-mkmlizer: ║ ║
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: ║ Version: 0.30.6+torch280 ║
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: ║ https://mk1.ai ║
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: ║ ║
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: ║ belonging to: ║
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: ║ ║
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: ║ Chai Research Corp. ║
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: ║ ║
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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chaiml-4d70-fd43-linear-w01-v28-mkmlizer: Downloaded to shared memory in 24.355s
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: Checking if ChaiML/4d70-fd43-linear-w01 already exists in ChaiML
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp0ouiowpo, device:0
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Stopping job with name chaiml-4d70-fd43-linear-w01-v28-mkmlizer
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Starting job with name chaiml-4d70-fd43-linear-w01-v28-mkmlizer
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chaiml-4d70-fd43-linear-w01-v28-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
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chaiml-4d70-fd43-linear-w01-v28-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-4d70-fd43-linear-w01-v28-mkmlizer: __import__('pkg_resources').declare_namespace(__name__)
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chaiml-4d70-fd43-linear-w01-v28-mkmlizer: ║ ║
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: ║ Version: 0.30.6+torch280 ║
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: ║ https://mk1.ai ║
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: ║ ║
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: ║ belonging to: ║
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: ║ ║
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: ║ Chai Research Corp. ║
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: ║ ║
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: Downloaded to shared memory in 28.774s
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: Checking if ChaiML/4d70-fd43-linear-w01 already exists in ChaiML
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpef0njm07, device:0
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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chaiml-4d70-fd43-linear-w01-v28-mkmlizer: The tokenizer you are loading from '/tmp/tmpef0njm07' 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-4d70-fd43-linear-w01-v28-mkmlizer: quantized model in 141.373s
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: Processed model ChaiML/4d70-fd43-linear-w01 in 170.148s
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: creating bucket guanaco-mkml-models
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-4d70-fd43-linear-w01-v28/nvidia
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-4d70-fd43-linear-w01-v28/nvidia/config.json
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: cp /dev/shm/model_cache/chat_template.jinja s3://guanaco-mkml-models/chaiml-4d70-fd43-linear-w01-v28/nvidia/chat_template.jinja
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-4d70-fd43-linear-w01-v28/nvidia/special_tokens_map.json
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-4d70-fd43-linear-w01-v28/nvidia/tokenizer_config.json
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-4d70-fd43-linear-w01-v28/nvidia/tokenizer.json
chaiml-4d70-fd43-linear-w01-v28-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-4d70-fd43-linear-w01-v28/nvidia/flywheel_model.0.safetensors
Job chaiml-4d70-fd43-linear-w01-v28-mkmlizer completed after 249.32s with status: succeeded
Stopping job with name chaiml-4d70-fd43-linear-w01-v28-mkmlizer
Pipeline stage MKMLizer completed in 354.06s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-4d70-fd43-linear-w01-v28
Waiting for inference service chaiml-4d70-fd43-linear-w01-v28 to be ready
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Failed to get response for submission function_genen_2026-01-12: ('http://guanaco-model-mesh-load-balancer.model-mesh.k2.chaiverse.com/models/chaiml-7b07-69d4-linear-w01_v7/predict', '{"detail":"1 validation error for RuntimeResponse\\npredictions\\n Field required [type=missing, input_value={\'detail\': \\"503, message=...linear-w01_v7/predict\'\\"}, input_type=dict]\\n For further information visit https://errors.pydantic.dev/2.12/v/missing"}')
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Unable to record family friendly update due to error: Invalid JSON input: Expecting value: line 1 column 1 (char 0)
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Inference service chaiml-4d70-fd43-linear-w01-v28 ready after 181.67824339866638s
Pipeline stage MKMLDeployer completed in 182.45s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.9849662780761719s
Received healthy response to inference request in 2.265415906906128s
Received healthy response to inference request in 1.7535362243652344s
Received healthy response to inference request in 1.849877119064331s
Received healthy response to inference request in 1.395221471786499s
5 requests
0 failed requests
5th percentile: 1.4668844223022461
10th percentile: 1.5385473728179933
20th percentile: 1.6818732738494873
30th percentile: 1.7728044033050536
40th percentile: 1.8113407611846923
50th percentile: 1.849877119064331
60th percentile: 1.9039127826690674
70th percentile: 1.9579484462738037
80th percentile: 2.0410562038421634
90th percentile: 2.1532360553741454
95th percentile: 2.2093259811401365
99th percentile: 2.2541979217529295
mean time: 1.8498034000396728
Pipeline stage StressChecker completed in 10.87s
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 0.63s
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 1.61s
Shutdown handler de-registered
chaiml-4d70-fd43-linear-w01_v28 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 2180.77s
Shutdown handler de-registered
chaiml-4d70-fd43-linear-w01_v28 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of chaiml-4d70-fd43-linear-w01_v28
Falling back to EndpointApi.from_submission implementation
Shutdown handler not registered because Python interpreter is not running in the main thread
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Shutdown handler not registered because Python interpreter is not running in the main thread
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Running pipeline stage MKMLDeleter
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Checking if service chaiml-4d70-fd43-linear-w01-v28 is running
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Tearing down inference service chaiml-4d70-fd43-linear-w01-v28
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%s, retrying in %s seconds...
Checking if service chaiml-4d70-fd43-linear-w01-v28 is running
Skipping teardown as no inference service was found
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Pipeline stage MKMLDeleter completed in 1.78s
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run pipeline stage %s
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Running pipeline stage MKMLModelDeleter
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Cleaning model data from S3
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Cleaning model data from model cache
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Deleting key chaiml-4d70-fd43-linear-w01-v28/nvidia/chat_template.jinja from bucket guanaco-mkml-models
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Deleting key chaiml-4d70-fd43-linear-w01-v28/nvidia/config.json from bucket guanaco-mkml-models
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Deleting key chaiml-4d70-fd43-linear-w01-v28/nvidia/flywheel_model.0.safetensors from bucket guanaco-mkml-models
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Deleting key chaiml-4d70-fd43-linear-w01-v28/nvidia/special_tokens_map.json from bucket guanaco-mkml-models
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Deleting key chaiml-4d70-fd43-linear-w01-v28/nvidia/tokenizer.json from bucket guanaco-mkml-models
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Deleting key chaiml-4d70-fd43-linear-w01-v28/nvidia/tokenizer_config.json from bucket guanaco-mkml-models
Falling back to EndpointApi.from_submission implementation
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Pipeline stage MKMLModelDeleter completed in 12.40s
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Shutdown handler de-registered
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chaiml-4d70-fd43-linear-w01_v28 status is now torndown due to DeploymentManager action
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Falling back to EndpointApi.from_submission implementation