developer_uid: chai_backend_admin
submission_id: jellywibble-tyler-james_82415_v1
model_name: jellywibble-tyler-james_82415_v1
model_group: Jellywibble/Tyler-James-
status: inactive
timestamp: 2025-03-29T03:07:20+00:00
num_battles: 8617
num_wins: 4180
celo_rating: 1270.7
family_friendly_score: 0.5178
family_friendly_standard_error: 0.007066585597019256
submission_type: basic
model_repo: Jellywibble/Tyler-James-Park-Detective-Park_Tyler-250329024009
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.37166395636370336, 'latency_mean': 2.690526167154312, 'latency_p50': 2.70299756526947, 'latency_p90': 2.9574466228485106}, {'batch_size': 2, 'throughput': 0.5852305261942758, 'latency_mean': 3.414625840187073, 'latency_p50': 3.4165072441101074, 'latency_p90': 3.7329590797424315}, {'batch_size': 3, 'throughput': 0.7398912766060234, 'latency_mean': 4.042904201745987, 'latency_p50': 4.060974359512329, 'latency_p90': 4.438381958007812}, {'batch_size': 4, 'throughput': 0.8616069353156158, 'latency_mean': 4.620032024383545, 'latency_p50': 4.62066924571991, 'latency_p90': 5.129452967643737}, {'batch_size': 5, 'throughput': 0.9493496591532298, 'latency_mean': 5.239181090593338, 'latency_p50': 5.223263144493103, 'latency_p90': 5.973787546157837}]
gpu_counts: {'NVIDIA RTX A6000': 1}
display_name: jellywibble-tyler-james_82415_v1
is_internal_developer: True
language_model: Jellywibble/Tyler-James-Park-Detective-Park_Tyler-250329024009
model_size: 24B
ranking_group: single
throughput_3p7s: 0.66
us_pacific_date: 2025-03-28
win_ratio: 0.4850876175002901
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '####', '####\n', 'You:', '</s>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
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 jellywibble-tyler-james-82415-v1-mkmlizer
Waiting for job on jellywibble-tyler-james-82415-v1-mkmlizer to finish
jellywibble-tyler-james-82415-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jellywibble-tyler-james-82415-v1-mkmlizer: ║ _____ __ __ ║
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jellywibble-tyler-james-82415-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
jellywibble-tyler-james-82415-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
jellywibble-tyler-james-82415-v1-mkmlizer: ║ /___/ ║
jellywibble-tyler-james-82415-v1-mkmlizer: ║ ║
jellywibble-tyler-james-82415-v1-mkmlizer: ║ Version: 0.12.8 ║
jellywibble-tyler-james-82415-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
jellywibble-tyler-james-82415-v1-mkmlizer: ║ https://mk1.ai ║
jellywibble-tyler-james-82415-v1-mkmlizer: ║ ║
jellywibble-tyler-james-82415-v1-mkmlizer: ║ The license key for the current software has been verified as ║
jellywibble-tyler-james-82415-v1-mkmlizer: ║ belonging to: ║
jellywibble-tyler-james-82415-v1-mkmlizer: ║ ║
jellywibble-tyler-james-82415-v1-mkmlizer: ║ Chai Research Corp. ║
jellywibble-tyler-james-82415-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
jellywibble-tyler-james-82415-v1-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
jellywibble-tyler-james-82415-v1-mkmlizer: ║ ║
jellywibble-tyler-james-82415-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jellywibble-tyler-james-82415-v1-mkmlizer: Downloaded to shared memory in 87.588s
jellywibble-tyler-james-82415-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpym9iwlm3, device:0
jellywibble-tyler-james-82415-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jellywibble-tyler-james-82415-v1-mkmlizer: quantized model in 53.801s
jellywibble-tyler-james-82415-v1-mkmlizer: Processed model Jellywibble/Tyler-James-Park-Detective-Park_Tyler-250329024009 in 141.390s
jellywibble-tyler-james-82415-v1-mkmlizer: creating bucket guanaco-mkml-models
jellywibble-tyler-james-82415-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jellywibble-tyler-james-82415-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jellywibble-tyler-james-82415-v1
jellywibble-tyler-james-82415-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jellywibble-tyler-james-82415-v1/config.json
jellywibble-tyler-james-82415-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jellywibble-tyler-james-82415-v1/special_tokens_map.json
jellywibble-tyler-james-82415-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jellywibble-tyler-james-82415-v1/tokenizer_config.json
jellywibble-tyler-james-82415-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jellywibble-tyler-james-82415-v1/tokenizer.json
jellywibble-tyler-james-82415-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/jellywibble-tyler-james-82415-v1/flywheel_model.1.safetensors
jellywibble-tyler-james-82415-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jellywibble-tyler-james-82415-v1/flywheel_model.0.safetensors
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Job jellywibble-tyler-james-82415-v1-mkmlizer completed after 175.98s with status: succeeded
Stopping job with name jellywibble-tyler-james-82415-v1-mkmlizer
Pipeline stage MKMLizer completed in 176.80s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
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Running pipeline stage MKMLDeployer
Creating inference service jellywibble-tyler-james-82415-v1
Waiting for inference service jellywibble-tyler-james-82415-v1 to be ready
Inference service jellywibble-tyler-james-82415-v1 ready after 120.57653474807739s
Pipeline stage MKMLDeployer completed in 121.08s
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Running pipeline stage StressChecker
Received healthy response to inference request in 3.005632162094116s
Received healthy response to inference request in 2.566406011581421s
Received healthy response to inference request in 2.519958019256592s
Received healthy response to inference request in 2.4104506969451904s
Received healthy response to inference request in 2.507847547531128s
5 requests
0 failed requests
5th percentile: 2.429930067062378
10th percentile: 2.4494094371795656
20th percentile: 2.4883681774139403
30th percentile: 2.5102696418762207
40th percentile: 2.5151138305664062
50th percentile: 2.519958019256592
60th percentile: 2.5385372161865236
70th percentile: 2.557116413116455
80th percentile: 2.65425124168396
90th percentile: 2.8299417018890383
95th percentile: 2.9177869319915772
99th percentile: 2.9880631160736084
mean time: 2.6020588874816895
Pipeline stage StressChecker completed in 14.35s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.64s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.65s
Shutdown handler de-registered
jellywibble-tyler-james_82415_v1 status is now deployed due to DeploymentManager action
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 4439.15s
Shutdown handler de-registered
jellywibble-tyler-james_82415_v1 status is now inactive due to auto deactivation removed underperforming models
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