developer_uid: chai_backend_admin
submission_id: jellywibble-tyler-james_48109_v1
model_name: jellywibble-tyler-james_48109_v1
model_group: Jellywibble/Tyler-James-
status: torndown
timestamp: 2025-04-19T09:45:08+00:00
num_battles: 7495
num_wins: 3754
celo_rating: 1287.24
family_friendly_score: 0.5152
family_friendly_standard_error: 0.007067799657602075
submission_type: basic
model_repo: Jellywibble/Tyler-James-Park-Mercenary_Tyler-James250419102704
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': 0.3711866678308139, 'latency_mean': 2.6939941060543062, 'latency_p50': 2.682172417640686, 'latency_p90': 2.9983608961105346}, {'batch_size': 2, 'throughput': 0.5792840595456183, 'latency_mean': 3.4468117785453796, 'latency_p50': 3.44180691242218, 'latency_p90': 3.7972492456436155}, {'batch_size': 3, 'throughput': 0.733655499382833, 'latency_mean': 4.071110665798187, 'latency_p50': 4.059197545051575, 'latency_p90': 4.470915031433106}, {'batch_size': 4, 'throughput': 0.8561274646537091, 'latency_mean': 4.652743391990661, 'latency_p50': 4.660787105560303, 'latency_p90': 5.228431391716003}, {'batch_size': 5, 'throughput': 0.9414235356234052, 'latency_mean': 5.278405596017837, 'latency_p50': 5.328770995140076, 'latency_p90': 5.836617350578308}]
gpu_counts: {'NVIDIA RTX A6000': 1}
display_name: jellywibble-tyler-james_48109_v1
is_internal_developer: True
language_model: Jellywibble/Tyler-James-Park-Mercenary_Tyler-James250419102704
model_size: 24B
ranking_group: single
throughput_3p7s: 0.65
us_pacific_date: 2025-04-19
win_ratio: 0.5008672448298865
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': ['</s>', '####', '\n', '####\n', 'You:'], '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-48109-v1-mkmlizer
Waiting for job on jellywibble-tyler-james-48109-v1-mkmlizer to finish
jellywibble-tyler-james-48109-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jellywibble-tyler-james-48109-v1-mkmlizer: ║ _____ __ __ ║
jellywibble-tyler-james-48109-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
jellywibble-tyler-james-48109-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
jellywibble-tyler-james-48109-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
jellywibble-tyler-james-48109-v1-mkmlizer: ║ /___/ ║
jellywibble-tyler-james-48109-v1-mkmlizer: ║ ║
jellywibble-tyler-james-48109-v1-mkmlizer: ║ Version: 0.12.8 ║
jellywibble-tyler-james-48109-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
jellywibble-tyler-james-48109-v1-mkmlizer: ║ https://mk1.ai ║
jellywibble-tyler-james-48109-v1-mkmlizer: ║ ║
jellywibble-tyler-james-48109-v1-mkmlizer: ║ The license key for the current software has been verified as ║
jellywibble-tyler-james-48109-v1-mkmlizer: ║ belonging to: ║
jellywibble-tyler-james-48109-v1-mkmlizer: ║ ║
jellywibble-tyler-james-48109-v1-mkmlizer: ║ Chai Research Corp. ║
jellywibble-tyler-james-48109-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
jellywibble-tyler-james-48109-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
jellywibble-tyler-james-48109-v1-mkmlizer: ║ ║
jellywibble-tyler-james-48109-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jellywibble-tyler-james-48109-v1-mkmlizer: Downloaded to shared memory in 63.420s
jellywibble-tyler-james-48109-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpk6nhouaj, device:0
jellywibble-tyler-james-48109-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jellywibble-tyler-james-48109-v1-mkmlizer: quantized model in 53.290s
jellywibble-tyler-james-48109-v1-mkmlizer: Processed model Jellywibble/Tyler-James-Park-Mercenary_Tyler-James250419102704 in 116.711s
jellywibble-tyler-james-48109-v1-mkmlizer: creating bucket guanaco-mkml-models
jellywibble-tyler-james-48109-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jellywibble-tyler-james-48109-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jellywibble-tyler-james-48109-v1
jellywibble-tyler-james-48109-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jellywibble-tyler-james-48109-v1/config.json
jellywibble-tyler-james-48109-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jellywibble-tyler-james-48109-v1/tokenizer_config.json
jellywibble-tyler-james-48109-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jellywibble-tyler-james-48109-v1/special_tokens_map.json
jellywibble-tyler-james-48109-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jellywibble-tyler-james-48109-v1/tokenizer.json
jellywibble-tyler-james-48109-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/jellywibble-tyler-james-48109-v1/flywheel_model.1.safetensors
jellywibble-tyler-james-48109-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jellywibble-tyler-james-48109-v1/flywheel_model.0.safetensors
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Job jellywibble-tyler-james-48109-v1-mkmlizer completed after 145.88s with status: succeeded
Stopping job with name jellywibble-tyler-james-48109-v1-mkmlizer
Pipeline stage MKMLizer completed in 146.34s
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Pipeline stage MKMLTemplater completed in 0.15s
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Running pipeline stage MKMLDeployer
Creating inference service jellywibble-tyler-james-48109-v1
Waiting for inference service jellywibble-tyler-james-48109-v1 to be ready
Inference service jellywibble-tyler-james-48109-v1 ready after 130.4242057800293s
Pipeline stage MKMLDeployer completed in 130.92s
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Running pipeline stage StressChecker
Received healthy response to inference request in 3.138965368270874s
Received healthy response to inference request in 2.763241767883301s
Received healthy response to inference request in 2.6776974201202393s
Received healthy response to inference request in 2.6053802967071533s
Received healthy response to inference request in 2.8549442291259766s
5 requests
0 failed requests
5th percentile: 2.6198437213897705
10th percentile: 2.6343071460723877
20th percentile: 2.663233995437622
30th percentile: 2.6948062896728517
40th percentile: 2.7290240287780763
50th percentile: 2.763241767883301
60th percentile: 2.799922752380371
70th percentile: 2.8366037368774415
80th percentile: 2.9117484569549563
90th percentile: 3.025356912612915
95th percentile: 3.0821611404418943
99th percentile: 3.127604522705078
mean time: 2.808045816421509
Pipeline stage StressChecker completed in 15.20s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 1.15s
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jellywibble-tyler-james_48109_v1 status is now deployed due to DeploymentManager action
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jellywibble-tyler-james_48109_v1 status is now inactive due to auto deactivation removed underperforming models
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jellywibble-tyler-james_48109_v1 status is now torndown due to DeploymentManager action
jellywibble-tyler-james_48109_v1 status is now torndown due to DeploymentManager action
jellywibble-tyler-james_48109_v1 status is now torndown due to DeploymentManager action