chaiml-7b07-69d4-linear-w01

developer_uid: richhx
submission_id: chaiml-7b07-69d4-linear-w01_v32
model_name: chaiml-7b07-69d4-linear-w01_v32
model_group: ChaiML/7b07-69d4-linear-
status: torndown
timestamp: 2026-01-16T21:38:11+00:00
num_battles: 12392
num_wins: 5906
celo_rating: 1280.2
family_friendly_score: 0.5207999999999999
family_friendly_standard_error: 0.007064946708928524
submission_type: basic
model_repo: ChaiML/7b07-69d4-linear-w01
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 6
max_input_tokens: 1440
max_output_tokens: 60
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.3149908237709925, 'latency_mean': 3.174616768360138, 'latency_p50': 2.267771601676941, 'latency_p90': 5.603031587600707}, {'batch_size': 3, 'throughput': 1.0288128687341689, 'latency_mean': 2.901975996494293, 'latency_p50': 2.9061437845230103, 'latency_p90': 3.2115818977355954}, {'batch_size': 5, 'throughput': 1.2940013409250803, 'latency_mean': 3.847654982805252, 'latency_p50': 3.8345223665237427, 'latency_p90': 4.401599621772766}, {'batch_size': 6, 'throughput': 1.3617529315828796, 'latency_mean': 4.380229567289352, 'latency_p50': 4.36202871799469, 'latency_p90': 5.01758463382721}, {'batch_size': 8, 'throughput': 1.4813024713653844, 'latency_mean': 5.362426385879517, 'latency_p50': 5.375253081321716, 'latency_p90': 6.314953136444092}, {'batch_size': 10, 'throughput': 1.5555143567388887, 'latency_mean': 6.3716726243495945, 'latency_p50': 6.322084069252014, 'latency_p90': 7.312165093421935}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: chaiml-7b07-69d4-linear-w01_v32
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/7b07-69d4-linear-w01
model_size: 24B
ranking_group: single
throughput_3p7s: 1.27
us_pacific_date: 2026-01-13
win_ratio: 0.4765978050355068
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.1, 'frequency_penalty': 0.1, 'stopping_words': ['####', 'You:', '####\n', '\n', '</s>'], 'max_input_tokens': 1440, 'best_of': 6, 'max_output_tokens': 60}
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}</s>\n', 'user_template': 'You: {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-7b07-69d4-linear-w01-v32-mkmlizer
Waiting for job on chaiml-7b07-69d4-linear-w01-v32-mkmlizer to finish
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: bash: no job control in this shell
chaiml-7b07-69d4-linear-w01-v32-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-7b07-69d4-linear-w01-v32-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
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chaiml-7b07-69d4-linear-w01-v32-mkmlizer: ║                                                                     ║
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chaiml-7b07-69d4-linear-w01-v32-mkmlizer: ║                                                                     ║
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: ║                                                                     ║
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: ║  belonging to:                                                      ║
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: ║                                                                     ║
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: ║                                                                     ║
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Stopping job with name chaiml-7b07-69d4-linear-w01-v32-mkmlizer
%s, retrying in %s seconds...
Starting job with name chaiml-7b07-69d4-linear-w01-v32-mkmlizer
Waiting for job on chaiml-7b07-69d4-linear-w01-v32-mkmlizer to finish
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: bash: no job control in this shell
chaiml-7b07-69d4-linear-w01-v32-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-7b07-69d4-linear-w01-v32-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
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chaiml-7b07-69d4-linear-w01-v32-mkmlizer: ║                                                                     ║
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chaiml-7b07-69d4-linear-w01-v32-mkmlizer: ║                                                                     ║
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: ║                                                                     ║
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: ║  belonging to:                                                      ║
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: ║                                                                     ║
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: ║                                                                     ║
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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chaiml-7b07-69d4-linear-w01-v32-mkmlizer: Downloaded to shared memory in 50.436s
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: Checking if ChaiML/7b07-69d4-linear-w01 already exists in ChaiML
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpcic3ht_r, device:0
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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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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chaiml-7b07-69d4-linear-w01-v32-mkmlizer: The tokenizer you are loading from '/tmp/tmpcic3ht_r' 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-7b07-69d4-linear-w01-v32-mkmlizer: creating bucket guanaco-mkml-models
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-7b07-69d4-linear-w01-v32/nvidia
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-7b07-69d4-linear-w01-v32/nvidia/config.json
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-7b07-69d4-linear-w01-v32/nvidia/special_tokens_map.json
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-7b07-69d4-linear-w01-v32/nvidia/tokenizer_config.json
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-7b07-69d4-linear-w01-v32/nvidia/tokenizer.json
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-7b07-69d4-linear-w01-v32/nvidia/flywheel_model.1.safetensors
chaiml-7b07-69d4-linear-w01-v32-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-7b07-69d4-linear-w01-v32/nvidia/flywheel_model.0.safetensors
Connection pool is full, discarding connection: %s. Connection pool size: %s
Job chaiml-7b07-69d4-linear-w01-v32-mkmlizer completed after 451.86s with status: succeeded
Stopping job with name chaiml-7b07-69d4-linear-w01-v32-mkmlizer
Pipeline stage MKMLizer completed in 506.07s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-7b07-69d4-linear-w01-v32
Waiting for inference service chaiml-7b07-69d4-linear-w01-v32 to be ready
HTTP Request: %s %s "%s %d %s"
HTTP Request: %s %s "%s %d %s"
HTTP Request: %s %s "%s %d %s"
HTTP Request: %s %s "%s %d %s"
Inference service chaiml-7b07-69d4-linear-w01-v32 ready after 181.10940623283386s
Pipeline stage MKMLDeployer completed in 181.69s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4182517528533936s
Received healthy response to inference request in 1.9102349281311035s
Received healthy response to inference request in 2.2040181159973145s
Received healthy response to inference request in 2.109243869781494s
Received healthy response to inference request in 2.0770225524902344s
5 requests
0 failed requests
5th percentile: 1.9435924530029296
10th percentile: 1.976949977874756
20th percentile: 2.0436650276184083
30th percentile: 2.083466815948486
40th percentile: 2.09635534286499
50th percentile: 2.109243869781494
60th percentile: 2.1471535682678224
70th percentile: 2.1850632667541503
80th percentile: 2.24686484336853
90th percentile: 2.332558298110962
95th percentile: 2.375405025482178
99th percentile: 2.4096824073791505
mean time: 2.143754243850708
Pipeline stage StressChecker completed in 13.29s
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 0.64s
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 0.68s
Shutdown handler de-registered
chaiml-7b07-69d4-linear-w01_v32 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 2715.50s
Shutdown handler de-registered
chaiml-7b07-69d4-linear-w01_v32 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of chaiml-7b07-69d4-linear-w01_v32
Shutdown handler not registered because Python interpreter is not running in the main thread
Falling back to EndpointApi.from_submission implementation
run pipeline %s
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run pipeline stage %s
admin requested tearing down of chaiml-7b07-69d4-linear-w01_v32
Shutdown handler not registered because Python interpreter is not running in the main thread
Falling back to EndpointApi.from_submission implementation
run pipeline %s
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run pipeline stage %s
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Running pipeline stage MKMLDeleter
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Checking if service chaiml-7b07-69d4-linear-w01-v32 is running
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Skipping teardown as no inference service was found
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Pipeline stage MKMLDeleter completed in 2.44s
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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-7b07-69d4-linear-w01-v32/nvidia/config.json from bucket guanaco-mkml-models
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Deleting key chaiml-7b07-69d4-linear-w01-v32/nvidia/flywheel_model.1.safetensors from bucket guanaco-mkml-models
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Deleting key chaiml-7b07-69d4-linear-w01-v32/nvidia/special_tokens_map.json from bucket guanaco-mkml-models
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Deleting key chaiml-7b07-69d4-linear-w01-v32/nvidia/tokenizer.json from bucket guanaco-mkml-models
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Deleting key chaiml-7b07-69d4-linear-w01-v32/nvidia/tokenizer_config.json from bucket guanaco-mkml-models
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Pipeline stage MKMLModelDeleter completed in 18.43s
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Shutdown handler de-registered
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Falling back to EndpointApi.from_submission implementation