chaiml-ssnew-v7-2-dpo-cosine

developer_uid: zonemercy
submission_id: chaiml-ssnew-v7-2-dpo-cosine_v3
model_name: test
model_group: ChaiML/ssnew-v7-2-dpo_co
status: torndown
timestamp: 2025-11-24T00:31:23+00:00
num_battles: 5522
num_wins: 2762
celo_rating: 1291.2
family_friendly_score: 0.478
family_friendly_standard_error: 0.007064219702132713
submission_type: basic
model_repo: ChaiML/ssnew-v7-2-dpo_cosine
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.4617245919409744, 'latency_mean': 2.1656882095336916, 'latency_p50': 2.1631141901016235, 'latency_p90': 2.3810100317001344}, {'batch_size': 2, 'throughput': 0.6711862541071033, 'latency_mean': 2.969406620264053, 'latency_p50': 2.946873664855957, 'latency_p90': 3.2529768705368043}, {'batch_size': 3, 'throughput': 0.8041483547407424, 'latency_mean': 3.7182644593715666, 'latency_p50': 3.7351304292678833, 'latency_p90': 4.169708704948425}, {'batch_size': 4, 'throughput': 0.9053866382462352, 'latency_mean': 4.411096069812775, 'latency_p50': 4.426182866096497, 'latency_p90': 5.032011342048645}, {'batch_size': 5, 'throughput': 0.9530096525314398, 'latency_mean': 5.240200619697571, 'latency_p50': 5.233087778091431, 'latency_p90': 6.053317189216614}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: test
is_internal_developer: True
language_model: ChaiML/ssnew-v7-2-dpo_cosine
model_size: 24B
ranking_group: single
throughput_3p7s: 0.8
us_pacific_date: 2025-11-20
win_ratio: 0.5001810938065918
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['User:', '</s>', '\n', 'You:'], 'max_input_tokens': 2048, 'best_of': 8, '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': '####\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-ssnew-v7-2-dpo-cosine-v3-mkmlizer
Waiting for job on chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer to finish
chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: ║                                                                     ║
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chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
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chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: ║                                                                     ║
chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: ║                                                                     ║
chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: ║  belonging to:                                                      ║
chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: ║                                                                     ║
chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: ║                                                                     ║
chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: Downloaded to shared memory in 63.421s
chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: Checking if ChaiML/ssnew-v7-2-dpo_cosine already exists in ChaiML
chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpkoglox7f, device:0
chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: quantized model in 315.278s
chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: Processed model ChaiML/ssnew-v7-2-dpo_cosine in 378.700s
chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: creating bucket guanaco-mkml-models
chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-ssnew-v7-2-dpo-cosine-v3/nvidia
chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-ssnew-v7-2-dpo-cosine-v3/nvidia/config.json
chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-ssnew-v7-2-dpo-cosine-v3/nvidia/special_tokens_map.json
chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-ssnew-v7-2-dpo-cosine-v3/nvidia/tokenizer_config.json
chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-ssnew-v7-2-dpo-cosine-v3/nvidia/tokenizer.json
chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-ssnew-v7-2-dpo-cosine-v3/nvidia/flywheel_model.1.safetensors
chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-ssnew-v7-2-dpo-cosine-v3/nvidia/flywheel_model.0.safetensors
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Job chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer completed after 418.97s with status: succeeded
Stopping job with name chaiml-ssnew-v7-2-dpo-cosine-v3-mkmlizer
Pipeline stage MKMLizer completed in 419.80s
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-ssnew-v7-2-dpo-cosine-v3
Waiting for inference service chaiml-ssnew-v7-2-dpo-cosine-v3 to be ready
Inference service chaiml-ssnew-v7-2-dpo-cosine-v3 ready after 140.74730324745178s
Pipeline stage MKMLDeployer completed in 141.34s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2870261669158936s
Received healthy response to inference request in 1.8094744682312012s
Received healthy response to inference request in 1.6360812187194824s
Received healthy response to inference request in 1.8340411186218262s
Received healthy response to inference request in 1.6781666278839111s
5 requests
0 failed requests
5th percentile: 1.6444983005523681
10th percentile: 1.6529153823852538
20th percentile: 1.6697495460510254
30th percentile: 1.7044281959533691
40th percentile: 1.7569513320922852
50th percentile: 1.8094744682312012
60th percentile: 1.8193011283874512
70th percentile: 1.8291277885437012
80th percentile: 1.9246381282806397
90th percentile: 2.1058321475982664
95th percentile: 2.19642915725708
99th percentile: 2.268906764984131
mean time: 1.8489579200744628
Pipeline stage StressChecker completed in 10.63s
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 0.67s
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 0.63s
Shutdown handler de-registered
chaiml-ssnew-v7-2-dpo-cosine_v3 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-ssnew-v7-2-dpo-cosine-v3-profiler
Waiting for inference service chaiml-ssnew-v7-2-dpo-cosine-v3-profiler to be ready
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2670.40s
Shutdown handler de-registered
chaiml-ssnew-v7-2-dpo-cosine_v3 status is now inactive due to auto deactivation removed underperforming models
chaiml-ssnew-v7-2-dpo-cosine_v3 status is now torndown due to DeploymentManager action