chaiml-02f4-69d4-linear-w01

developer_uid: rirv938

submission_id: chaiml-02f4-69d4-linear-w01_v36

model_name: chaiml-02f4-69d4-linear-w01_v36

model_group: ChaiML/02f4-69d4-linear-

status: torndown

timestamp: 2025-12-12T18:26:48+00:00

num_battles: 6407

num_wins: 3280

celo_rating: 1314.4

family_friendly_score: 0.4982

family_friendly_standard_error: 0.007071021991197595

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': 0.4417293238625679, 'latency_mean': 2.2637149930000304, 'latency_p50': 2.2658467292785645, 'latency_p90': 2.518899989128113}, {'batch_size': 3, 'throughput': 0.9299603171413753, 'latency_mean': 3.2160048592090607, 'latency_p50': 3.1993424892425537, 'latency_p90': 3.5414443731307985}, {'batch_size': 5, 'throughput': 1.2188165652016332, 'latency_mean': 4.074985924959183, 'latency_p50': 4.074880361557007, 'latency_p90': 4.596463298797607}, {'batch_size': 6, 'throughput': 1.327093083492998, 'latency_mean': 4.48709408044815, 'latency_p50': 4.441973924636841, 'latency_p90': 5.106242775917053}, {'batch_size': 8, 'throughput': 1.494064123238205, 'latency_mean': 5.323390400409698, 'latency_p50': 5.3500295877456665, 'latency_p90': 5.992726826667786}, {'batch_size': 10, 'throughput': 1.5776358960011057, 'latency_mean': 6.281523345708847, 'latency_p50': 6.201674461364746, 'latency_p90': 7.353181004524231}]

gpu_counts: {'NVIDIA L40S': 1}

display_name: chaiml-02f4-69d4-linear-w01_v36

ineligible_reason: num_battles<10000

is_internal_developer: True

language_model: ChaiML/02f4-69d4-linear-w01

model_size: 24B

ranking_group: single

throughput_3p7s: 1.12

us_pacific_date: 2025-11-26

win_ratio: 0.5119400655533011

generation_params: {'temperature': 0.6, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 200, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, '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-v36-mkmlizer
Waiting for job on chaiml-02f4-69d4-linear-w01-v36-mkmlizer to finish
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chaiml-02f4-69d4-linear-w01-v36-mkmlizer: ║                                                                     ║
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chaiml-02f4-69d4-linear-w01-v36-mkmlizer: ║                                                                     ║
chaiml-02f4-69d4-linear-w01-v36-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-02f4-69d4-linear-w01-v36-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-02f4-69d4-linear-w01-v36-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-02f4-69d4-linear-w01-v36-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-02f4-69d4-linear-w01-v36-mkmlizer: ║                                                                     ║
chaiml-02f4-69d4-linear-w01-v36-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-02f4-69d4-linear-w01-v36-mkmlizer: ║  belonging to:                                                      ║
chaiml-02f4-69d4-linear-w01-v36-mkmlizer: ║                                                                     ║
chaiml-02f4-69d4-linear-w01-v36-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-02f4-69d4-linear-w01-v36-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-02f4-69d4-linear-w01-v36-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-02f4-69d4-linear-w01-v36-mkmlizer: ║                                                                     ║
chaiml-02f4-69d4-linear-w01-v36-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-02f4-69d4-linear-w01-v36-mkmlizer: Downloaded to shared memory in 55.674s
chaiml-02f4-69d4-linear-w01-v36-mkmlizer: Checking if ChaiML/02f4-69d4-linear-w01 already exists in ChaiML
chaiml-02f4-69d4-linear-w01-v36-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpw4hqs6zv, device:0
chaiml-02f4-69d4-linear-w01-v36-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-02f4-69d4-linear-w01-v36-mkmlizer: quantized model in 46.609s
chaiml-02f4-69d4-linear-w01-v36-mkmlizer: Processed model ChaiML/02f4-69d4-linear-w01 in 102.284s
chaiml-02f4-69d4-linear-w01-v36-mkmlizer: creating bucket guanaco-mkml-models
chaiml-02f4-69d4-linear-w01-v36-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-02f4-69d4-linear-w01-v36-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-02f4-69d4-linear-w01-v36/nvidia
chaiml-02f4-69d4-linear-w01-v36-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-02f4-69d4-linear-w01-v36/nvidia/special_tokens_map.json
chaiml-02f4-69d4-linear-w01-v36-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-02f4-69d4-linear-w01-v36/nvidia/config.json
chaiml-02f4-69d4-linear-w01-v36-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-02f4-69d4-linear-w01-v36/nvidia/tokenizer_config.json
chaiml-02f4-69d4-linear-w01-v36-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-02f4-69d4-linear-w01-v36/nvidia/tokenizer.json
chaiml-02f4-69d4-linear-w01-v36-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-02f4-69d4-linear-w01-v36/nvidia/flywheel_model.1.safetensors
chaiml-02f4-69d4-linear-w01-v36-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-02f4-69d4-linear-w01-v36/nvidia/flywheel_model.0.safetensors
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Job chaiml-02f4-69d4-linear-w01-v36-mkmlizer completed after 247.26s with status: succeeded
Stopping job with name chaiml-02f4-69d4-linear-w01-v36-mkmlizer
Pipeline stage MKMLizer completed in 247.80s
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Running pipeline stage MKMLTemplater
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-02f4-69d4-linear-w01-v36
Waiting for inference service chaiml-02f4-69d4-linear-w01-v36 to be ready
Inference service chaiml-02f4-69d4-linear-w01-v36 ready after 161.09959292411804s
Pipeline stage MKMLDeployer completed in 161.68s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.3629958629608154s
Received healthy response to inference request in 2.118410348892212s
Received healthy response to inference request in 2.0840229988098145s
Received healthy response to inference request in 2.2173478603363037s
Received healthy response to inference request in 2.100172519683838s
5 requests
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90th percentile: 2.3047366619110106
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99th percentile: 2.357169942855835
mean time: 2.176589918136597
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Evaluating %s Family Friendly Score with %s threads
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