developer_uid: richhx
submission_id: chaiml-2fe5-c13f-linear-w01_v37
model_name: chaiml-2fe5-c13f-linear-w01_v37
model_group: ChaiML/2fe5-c13f-linear-
status: torndown
timestamp: 2026-01-16T21:23:20+00:00
num_battles: 11392
num_wins: 5806
celo_rating: 1303.45
family_friendly_score: 0.5258
family_friendly_standard_error: 0.007061647966303617
submission_type: basic
model_repo: ChaiML/2fe5-c13f-linear-w01
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 10
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.9124845403112836, 'latency_mean': 1.095831528902054, 'latency_p50': 1.0910143852233887, 'latency_p90': 1.2251270771026612}, {'batch_size': 4, 'throughput': 2.066413189419548, 'latency_mean': 1.9274191343784333, 'latency_p50': 1.9232821464538574, 'latency_p90': 2.130362868309021}, {'batch_size': 5, 'throughput': 2.2711615750389513, 'latency_mean': 2.1913845312595366, 'latency_p50': 2.2018030881881714, 'latency_p90': 2.468572163581848}, {'batch_size': 8, 'throughput': 2.613647239235619, 'latency_mean': 3.033374444246292, 'latency_p50': 3.041555643081665, 'latency_p90': 3.386864924430847}, {'batch_size': 10, 'throughput': 2.719039154207514, 'latency_mean': 3.647250964641571, 'latency_p50': 3.634210228919983, 'latency_p90': 4.141886186599732}, {'batch_size': 12, 'throughput': 2.775636128168977, 'latency_mean': 4.266035103797913, 'latency_p50': 4.257700204849243, 'latency_p90': 4.904791903495789}, {'batch_size': 15, 'throughput': 2.798078591823912, 'latency_mean': 5.28464648604393, 'latency_p50': 5.204870700836182, 'latency_p90': 6.164389300346374}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: chaiml-2fe5-c13f-linear-w01_v37
is_internal_developer: True
language_model: ChaiML/2fe5-c13f-linear-w01
model_size: 13B
ranking_group: single
throughput_3p7s: 2.75
us_pacific_date: 2026-01-13
win_ratio: 0.5096558988764045
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['You:', '<|eot_id|>', '<|im_end|>', 'User:', '####', 'Bot:', '</s>', '\n'], 'max_input_tokens': 1024, 'best_of': 10, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", '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-2fe5-c13f-linear-w01-v37-mkmlizer
Waiting for job on chaiml-2fe5-c13f-linear-w01-v37-mkmlizer to finish
chaiml-2fe5-c13f-linear-w01-v37-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-2fe5-c13f-linear-w01-v37-mkmlizer: bash: no job control in this shell
chaiml-2fe5-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-2fe5-c13f-linear-w01-v37-mkmlizer: __import__('pkg_resources').declare_namespace(__name__)
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chaiml-2fe5-c13f-linear-w01-v37-mkmlizer: ║ ║
chaiml-2fe5-c13f-linear-w01-v37-mkmlizer: ║ Version: 0.30.6+torch280 ║
chaiml-2fe5-c13f-linear-w01-v37-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-2fe5-c13f-linear-w01-v37-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-2fe5-c13f-linear-w01-v37-mkmlizer: ║ https://mk1.ai ║
chaiml-2fe5-c13f-linear-w01-v37-mkmlizer: ║ ║
chaiml-2fe5-c13f-linear-w01-v37-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-2fe5-c13f-linear-w01-v37-mkmlizer: ║ belonging to: ║
chaiml-2fe5-c13f-linear-w01-v37-mkmlizer: ║ ║
chaiml-2fe5-c13f-linear-w01-v37-mkmlizer: ║ Chai Research Corp. ║
chaiml-2fe5-c13f-linear-w01-v37-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
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chaiml-2fe5-c13f-linear-w01-v37-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-2fe5-c13f-linear-w01-v37-mkmlizer: Downloaded to shared memory in 33.133s
chaiml-2fe5-c13f-linear-w01-v37-mkmlizer: Checking if ChaiML/2fe5-c13f-linear-w01 already exists in ChaiML
chaiml-2fe5-c13f-linear-w01-v37-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpil_exrs0, device:0
chaiml-2fe5-c13f-linear-w01-v37-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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chaiml-2fe5-c13f-linear-w01-v37-mkmlizer: The tokenizer you are loading from '/tmp/tmpil_exrs0' 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-2fe5-c13f-linear-w01-v37-mkmlizer: quantized model in 162.938s
chaiml-2fe5-c13f-linear-w01-v37-mkmlizer: Processed model ChaiML/2fe5-c13f-linear-w01 in 196.072s
chaiml-2fe5-c13f-linear-w01-v37-mkmlizer: creating bucket guanaco-mkml-models
chaiml-2fe5-c13f-linear-w01-v37-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-2fe5-c13f-linear-w01-v37-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-2fe5-c13f-linear-w01-v37/nvidia
chaiml-2fe5-c13f-linear-w01-v37-mkmlizer: cp /dev/shm/model_cache/chat_template.jinja s3://guanaco-mkml-models/chaiml-2fe5-c13f-linear-w01-v37/nvidia/chat_template.jinja
chaiml-2fe5-c13f-linear-w01-v37-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-2fe5-c13f-linear-w01-v37/nvidia/special_tokens_map.json
chaiml-2fe5-c13f-linear-w01-v37-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-2fe5-c13f-linear-w01-v37/nvidia/config.json
chaiml-2fe5-c13f-linear-w01-v37-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-2fe5-c13f-linear-w01-v37/nvidia/tokenizer_config.json
chaiml-2fe5-c13f-linear-w01-v37-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-2fe5-c13f-linear-w01-v37/nvidia/flywheel_model.0.safetensors
Job chaiml-2fe5-c13f-linear-w01-v37-mkmlizer completed after 270.58s with status: succeeded
Stopping job with name chaiml-2fe5-c13f-linear-w01-v37-mkmlizer
Pipeline stage MKMLizer completed in 271.90s
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Creating inference service chaiml-2fe5-c13f-linear-w01-v37
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Inference service chaiml-2fe5-c13f-linear-w01-v37 ready after 161.61081624031067s
Pipeline stage MKMLDeployer completed in 163.02s
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Received healthy response to inference request in 1.5353569984436035s
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Received healthy response to inference request in 1.654139518737793s
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80th percentile: 1.6837578296661377
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99th percentile: 1.7963074111938477
mean time: 1.633097267150879
Pipeline stage StressChecker completed in 10.48s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.93s
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chaiml-2fe5-c13f-linear-w01_v37 status is now deployed due to DeploymentManager action
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Pipeline stage OfflineFamilyFriendlyScorer completed in 2034.88s
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chaiml-2fe5-c13f-linear-w01_v37 status is now inactive due to auto deactivation removed underperforming models
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Checking if service chaiml-2fe5-c13f-linear-w01-v37 is running
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Tearing down inference service chaiml-2fe5-c13f-linear-w01-v37
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Pipeline stage MKMLDeleter completed in 1.24s
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Cleaning model data from S3
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Deleting key chaiml-2fe5-c13f-linear-w01-v37/nvidia/chat_template.jinja from bucket guanaco-mkml-models
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Deleting key chaiml-2fe5-c13f-linear-w01-v37/nvidia/config.json from bucket guanaco-mkml-models
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Deleting key chaiml-2fe5-c13f-linear-w01-v37/nvidia/flywheel_model.0.safetensors from bucket guanaco-mkml-models
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Deleting key chaiml-2fe5-c13f-linear-w01-v37/nvidia/special_tokens_map.json from bucket guanaco-mkml-models
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Deleting key chaiml-2fe5-c13f-linear-w01-v37/nvidia/tokenizer.json from bucket guanaco-mkml-models
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Deleting key chaiml-2fe5-c13f-linear-w01-v37/nvidia/tokenizer_config.json from bucket guanaco-mkml-models
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Pipeline stage MKMLModelDeleter completed in 3.22s
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chaiml-2fe5-c13f-linear-w01_v37 status is now torndown due to DeploymentManager action