developer_uid: richhx
submission_id: chaiml-02f4-69d4-linear-w01_v50
model_name: chaiml-02f4-69d4-linear-w01_v50
model_group: ChaiML/02f4-69d4-linear-
status: torndown
timestamp: 2026-01-16T21:38:10+00:00
num_battles: 12812
num_wins: 6682
celo_rating: 1311.81
family_friendly_score: 0.5022
family_friendly_standard_error: 0.007070999363597765
submission_type: basic
model_repo: ChaiML/02f4-69d4-linear-w01
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5190934416622875, 'latency_mean': 1.9263565695285798, 'latency_p50': 1.872880220413208, 'latency_p90': 2.097963571548462}, {'batch_size': 3, 'throughput': 1.082706595809095, 'latency_mean': 2.763341418504715, 'latency_p50': 2.755659580230713, 'latency_p90': 3.0094021081924436}, {'batch_size': 5, 'throughput': 1.3915643184716073, 'latency_mean': 3.582254956960678, 'latency_p50': 3.5599900484085083, 'latency_p90': 4.084179162979126}, {'batch_size': 6, 'throughput': 1.4848968191878664, 'latency_mean': 4.010952860116959, 'latency_p50': 4.0200276374816895, 'latency_p90': 4.57825117111206}, {'batch_size': 8, 'throughput': 1.6378164735006904, 'latency_mean': 4.854969189167023, 'latency_p50': 4.884636998176575, 'latency_p90': 5.499833416938782}, {'batch_size': 10, 'throughput': 1.6928646842740853, 'latency_mean': 5.87937451004982, 'latency_p50': 5.850534796714783, 'latency_p90': 6.723409104347229}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: chaiml-02f4-69d4-linear-w01_v50
is_internal_developer: True
language_model: ChaiML/02f4-69d4-linear-w01
model_size: 24B
ranking_group: single
throughput_3p7s: 1.43
us_pacific_date: 2026-01-13
win_ratio: 0.5215423040899158
generation_params: {'temperature': 0.7, 'top_p': 0.95, 'min_p': 0.025, 'top_k': 80, 'presence_penalty': 0.4, 'frequency_penalty': 0.4, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{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-02f4-69d4-linear-w01-v50-mkmlizer
Waiting for job on chaiml-02f4-69d4-linear-w01-v50-mkmlizer to finish
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chaiml-02f4-69d4-linear-w01-v50-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-02f4-69d4-linear-w01-v50-mkmlizer: bash: no job control in this shell
chaiml-02f4-69d4-linear-w01-v50-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-02f4-69d4-linear-w01-v50-mkmlizer: __import__('pkg_resources').declare_namespace(__name__)
chaiml-02f4-69d4-linear-w01-v50-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-02f4-69d4-linear-w01-v50-mkmlizer: ║ ║
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chaiml-02f4-69d4-linear-w01-v50-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
chaiml-02f4-69d4-linear-w01-v50-mkmlizer: ║ ║
chaiml-02f4-69d4-linear-w01-v50-mkmlizer: ║ Version: 0.30.6+torch280 ║
chaiml-02f4-69d4-linear-w01-v50-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-02f4-69d4-linear-w01-v50-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-02f4-69d4-linear-w01-v50-mkmlizer: ║ https://mk1.ai ║
chaiml-02f4-69d4-linear-w01-v50-mkmlizer: ║ ║
chaiml-02f4-69d4-linear-w01-v50-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-02f4-69d4-linear-w01-v50-mkmlizer: ║ belonging to: ║
chaiml-02f4-69d4-linear-w01-v50-mkmlizer: ║ ║
chaiml-02f4-69d4-linear-w01-v50-mkmlizer: ║ Chai Research Corp. ║
chaiml-02f4-69d4-linear-w01-v50-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-02f4-69d4-linear-w01-v50-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-02f4-69d4-linear-w01-v50-mkmlizer: ║ ║
chaiml-02f4-69d4-linear-w01-v50-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-02f4-69d4-linear-w01-v50-mkmlizer: Downloaded to shared memory in 55.477s
chaiml-02f4-69d4-linear-w01-v50-mkmlizer: Checking if ChaiML/02f4-69d4-linear-w01 already exists in ChaiML
chaiml-02f4-69d4-linear-w01-v50-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmphjiwqdoj, device:0
chaiml-02f4-69d4-linear-w01-v50-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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chaiml-02f4-69d4-linear-w01-v50-mkmlizer: The tokenizer you are loading from '/tmp/tmphjiwqdoj' 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-02f4-69d4-linear-w01-v50-mkmlizer: quantized model in 274.999s
chaiml-02f4-69d4-linear-w01-v50-mkmlizer: Processed model ChaiML/02f4-69d4-linear-w01 in 330.476s
chaiml-02f4-69d4-linear-w01-v50-mkmlizer: creating bucket guanaco-mkml-models
chaiml-02f4-69d4-linear-w01-v50-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-02f4-69d4-linear-w01-v50-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-02f4-69d4-linear-w01-v50/nvidia
chaiml-02f4-69d4-linear-w01-v50-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-02f4-69d4-linear-w01-v50/nvidia/special_tokens_map.json
chaiml-02f4-69d4-linear-w01-v50-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-02f4-69d4-linear-w01-v50/nvidia/config.json
chaiml-02f4-69d4-linear-w01-v50-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-02f4-69d4-linear-w01-v50/nvidia/tokenizer_config.json
chaiml-02f4-69d4-linear-w01-v50-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-02f4-69d4-linear-w01-v50/nvidia/tokenizer.json
HTTP Request: %s %s "%s %d %s"
chaiml-02f4-69d4-linear-w01-v50-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-02f4-69d4-linear-w01-v50/nvidia/flywheel_model.1.safetensors
chaiml-02f4-69d4-linear-w01-v50-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-02f4-69d4-linear-w01-v50/nvidia/flywheel_model.0.safetensors
Job chaiml-02f4-69d4-linear-w01-v50-mkmlizer completed after 400.47s with status: succeeded
Stopping job with name chaiml-02f4-69d4-linear-w01-v50-mkmlizer
Pipeline stage MKMLizer completed in 400.96s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-02f4-69d4-linear-w01-v50
Waiting for inference service chaiml-02f4-69d4-linear-w01-v50 to be ready
HTTP Request: %s %s "%s %d %s"
Inference service chaiml-02f4-69d4-linear-w01-v50 ready after 181.61340141296387s
Pipeline stage MKMLDeployer completed in 182.36s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1327829360961914s
Received healthy response to inference request in 3.01552677154541s
Received healthy response to inference request in 1.7763311862945557s
Received healthy response to inference request in 2.737316370010376s
Received healthy response to inference request in 2.0282654762268066s
5 requests
0 failed requests
5th percentile: 1.8267180442810058
10th percentile: 1.877104902267456
20th percentile: 1.9778786182403565
30th percentile: 2.0491689682006835
40th percentile: 2.0909759521484377
50th percentile: 2.1327829360961914
60th percentile: 2.3745963096618654
70th percentile: 2.616409683227539
80th percentile: 2.792958450317383
90th percentile: 2.9042426109313966
95th percentile: 2.959884691238403
99th percentile: 3.0043983554840086
mean time: 2.338044548034668
Pipeline stage StressChecker completed in 13.91s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.63s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 1.02s
Shutdown handler de-registered
chaiml-02f4-69d4-linear-w01_v50 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 2701.37s
Shutdown handler de-registered
chaiml-02f4-69d4-linear-w01_v50 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of chaiml-02f4-69d4-linear-w01_v50
Shutdown handler not registered because Python interpreter is not running in the main thread
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Pipeline stage MKMLModelDeleter completed in 13.17s
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