developer_uid: chai_backend_admin
submission_id: jellywibble-danny-best-_62051_v1
model_name: jellywibble-danny-best-_62051_v1
model_group: Jellywibble/Danny-best-f
status: torndown
timestamp: 2025-03-28T16:51:50+00:00
num_battles: 8813
num_wins: 4480
celo_rating: 1290.01
family_friendly_score: 0.514
family_friendly_standard_error: 0.00706829540978587
submission_type: basic
model_repo: Jellywibble/Danny-best-friend-wedding-NSFW-FAJ_Ene250328163708
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': 0.37258456819624564, 'latency_mean': 2.6838663709163666, 'latency_p50': 2.678669810295105, 'latency_p90': 2.9963540554046633}, {'batch_size': 2, 'throughput': 0.5808072356545516, 'latency_mean': 3.4380930149555207, 'latency_p50': 3.4076374769210815, 'latency_p90': 3.8258334159851075}, {'batch_size': 3, 'throughput': 0.7328324361520131, 'latency_mean': 4.073901538848877, 'latency_p50': 4.061464905738831, 'latency_p90': 4.500494599342346}, {'batch_size': 4, 'throughput': 0.8472220847404061, 'latency_mean': 4.6971663689613345, 'latency_p50': 4.702928304672241, 'latency_p90': 5.147076082229614}, {'batch_size': 5, 'throughput': 0.9411623735790395, 'latency_mean': 5.292161716222763, 'latency_p50': 5.271114468574524, 'latency_p90': 5.933964228630066}]
gpu_counts: {'NVIDIA RTX A6000': 1}
display_name: jellywibble-danny-best-_62051_v1
is_internal_developer: True
language_model: Jellywibble/Danny-best-friend-wedding-NSFW-FAJ_Ene250328163708
model_size: 24B
ranking_group: single
throughput_3p7s: 0.65
us_pacific_date: 2025-03-28
win_ratio: 0.5083399523431295
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', '####', '</s>', '####\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-danny-best-62051-v1-mkmlizer
Waiting for job on jellywibble-danny-best-62051-v1-mkmlizer to finish
jellywibble-danny-best-62051-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jellywibble-danny-best-62051-v1-mkmlizer: ║ _____ __ __ ║
jellywibble-danny-best-62051-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
jellywibble-danny-best-62051-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
jellywibble-danny-best-62051-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
jellywibble-danny-best-62051-v1-mkmlizer: ║ /___/ ║
jellywibble-danny-best-62051-v1-mkmlizer: ║ ║
jellywibble-danny-best-62051-v1-mkmlizer: ║ Version: 0.12.8 ║
jellywibble-danny-best-62051-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
jellywibble-danny-best-62051-v1-mkmlizer: ║ https://mk1.ai ║
jellywibble-danny-best-62051-v1-mkmlizer: ║ ║
jellywibble-danny-best-62051-v1-mkmlizer: ║ The license key for the current software has been verified as ║
jellywibble-danny-best-62051-v1-mkmlizer: ║ belonging to: ║
jellywibble-danny-best-62051-v1-mkmlizer: ║ ║
jellywibble-danny-best-62051-v1-mkmlizer: ║ Chai Research Corp. ║
jellywibble-danny-best-62051-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
jellywibble-danny-best-62051-v1-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
jellywibble-danny-best-62051-v1-mkmlizer: ║ ║
jellywibble-danny-best-62051-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jellywibble-danny-best-62051-v1-mkmlizer: Downloaded to shared memory in 77.121s
jellywibble-danny-best-62051-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpn964zn29, device:0
jellywibble-danny-best-62051-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jellywibble-danny-best-62051-v1-mkmlizer: quantized model in 53.950s
jellywibble-danny-best-62051-v1-mkmlizer: Processed model Jellywibble/Danny-best-friend-wedding-NSFW-FAJ_Ene250328163708 in 131.071s
jellywibble-danny-best-62051-v1-mkmlizer: creating bucket guanaco-mkml-models
jellywibble-danny-best-62051-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jellywibble-danny-best-62051-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jellywibble-danny-best-62051-v1
jellywibble-danny-best-62051-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jellywibble-danny-best-62051-v1/config.json
jellywibble-danny-best-62051-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jellywibble-danny-best-62051-v1/special_tokens_map.json
jellywibble-danny-best-62051-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jellywibble-danny-best-62051-v1/tokenizer_config.json
jellywibble-danny-best-62051-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jellywibble-danny-best-62051-v1/tokenizer.json
jellywibble-danny-best-62051-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/jellywibble-danny-best-62051-v1/flywheel_model.1.safetensors
jellywibble-danny-best-62051-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jellywibble-danny-best-62051-v1/flywheel_model.0.safetensors
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Job jellywibble-danny-best-62051-v1-mkmlizer completed after 166.15s with status: succeeded
Stopping job with name jellywibble-danny-best-62051-v1-mkmlizer
Pipeline stage MKMLizer completed in 166.66s
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Creating inference service jellywibble-danny-best-62051-v1
Waiting for inference service jellywibble-danny-best-62051-v1 to be ready
Inference service jellywibble-danny-best-62051-v1 ready after 110.93537950515747s
Pipeline stage MKMLDeployer completed in 111.43s
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Running pipeline stage StressChecker
Received healthy response to inference request in 3.380417585372925s
Received healthy response to inference request in 2.880976676940918s
Received healthy response to inference request in 2.7965307235717773s
Received healthy response to inference request in 3.0756382942199707s
Received healthy response to inference request in 2.4968297481536865s
5 requests
0 failed requests
5th percentile: 2.5567699432373048
10th percentile: 2.616710138320923
20th percentile: 2.736590528488159
30th percentile: 2.8134199142456056
40th percentile: 2.8471982955932615
50th percentile: 2.880976676940918
60th percentile: 2.958841323852539
70th percentile: 3.03670597076416
80th percentile: 3.1365941524505616
90th percentile: 3.258505868911743
95th percentile: 3.319461727142334
99th percentile: 3.3682264137268065
mean time: 2.9260786056518553
Pipeline stage StressChecker completed in 15.78s
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Evaluating %s Family Friendly Score with %s threads
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