developer_uid: Jellywibble
submission_id: dtnewman-trainer-jotob-_41191_v1
model_name: dtnewman-trainer-jotob-_41191_v1
model_group: dtnewman/trainer_jotob_2
status: torndown
timestamp: 2025-02-24T23:32:19+00:00
num_battles: 5700
num_wins: 2946
celo_rating: 1244.71
family_friendly_score: 0.5912
family_friendly_standard_error: 0.006952446475881709
submission_type: basic
model_repo: dtnewman/trainer_jotob_2025-02-24-checkpoint-1
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.6003704448010384, 'latency_mean': 1.6655760538578033, 'latency_p50': 1.6563752889633179, 'latency_p90': 1.8526629686355591}, {'batch_size': 3, 'throughput': 1.0873293321122823, 'latency_mean': 2.7470812547206878, 'latency_p50': 2.7591779232025146, 'latency_p90': 3.0298967123031617}, {'batch_size': 5, 'throughput': 1.3162886392998971, 'latency_mean': 3.7786835551261904, 'latency_p50': 3.7924985885620117, 'latency_p90': 4.26479561328888}, {'batch_size': 6, 'throughput': 1.3778729640643006, 'latency_mean': 4.328385244607926, 'latency_p50': 4.3245731592178345, 'latency_p90': 4.861352586746216}, {'batch_size': 8, 'throughput': 1.4518245547901936, 'latency_mean': 5.475025829076767, 'latency_p50': 5.457183361053467, 'latency_p90': 6.22087082862854}, {'batch_size': 10, 'throughput': 1.471980335487312, 'latency_mean': 6.740199168920517, 'latency_p50': 6.746353387832642, 'latency_p90': 7.404257440567017}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: dtnewman-trainer-jotob-_41191_v1
is_internal_developer: True
language_model: dtnewman/trainer_jotob_2025-02-24-checkpoint-1
model_size: 13B
ranking_group: single
throughput_3p7s: 1.31
us_pacific_date: 2025-02-24
win_ratio: 0.5168421052631579
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'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
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 dtnewman-trainer-jotob-41191-v1-mkmlizer
Waiting for job on dtnewman-trainer-jotob-41191-v1-mkmlizer to finish
dtnewman-trainer-jotob-41191-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
dtnewman-trainer-jotob-41191-v1-mkmlizer: ║ _____ __ __ ║
dtnewman-trainer-jotob-41191-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
dtnewman-trainer-jotob-41191-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
dtnewman-trainer-jotob-41191-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
dtnewman-trainer-jotob-41191-v1-mkmlizer: ║ /___/ ║
dtnewman-trainer-jotob-41191-v1-mkmlizer: ║ ║
dtnewman-trainer-jotob-41191-v1-mkmlizer: ║ Version: 0.12.8 ║
dtnewman-trainer-jotob-41191-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
dtnewman-trainer-jotob-41191-v1-mkmlizer: ║ https://mk1.ai ║
dtnewman-trainer-jotob-41191-v1-mkmlizer: ║ ║
dtnewman-trainer-jotob-41191-v1-mkmlizer: ║ The license key for the current software has been verified as ║
dtnewman-trainer-jotob-41191-v1-mkmlizer: ║ belonging to: ║
dtnewman-trainer-jotob-41191-v1-mkmlizer: ║ ║
dtnewman-trainer-jotob-41191-v1-mkmlizer: ║ Chai Research Corp. ║
dtnewman-trainer-jotob-41191-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
dtnewman-trainer-jotob-41191-v1-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
dtnewman-trainer-jotob-41191-v1-mkmlizer: ║ ║
dtnewman-trainer-jotob-41191-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
dtnewman-trainer-jotob-41191-v1-mkmlizer: Downloaded to shared memory in 50.750s
dtnewman-trainer-jotob-41191-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpvisvmujf, device:0
dtnewman-trainer-jotob-41191-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
dtnewman-trainer-jotob-41191-v1-mkmlizer: quantized model in 35.380s
dtnewman-trainer-jotob-41191-v1-mkmlizer: Processed model dtnewman/trainer_jotob_2025-02-24-checkpoint-1 in 86.130s
dtnewman-trainer-jotob-41191-v1-mkmlizer: creating bucket guanaco-mkml-models
dtnewman-trainer-jotob-41191-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
dtnewman-trainer-jotob-41191-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/dtnewman-trainer-jotob-41191-v1
dtnewman-trainer-jotob-41191-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/dtnewman-trainer-jotob-41191-v1/config.json
dtnewman-trainer-jotob-41191-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/dtnewman-trainer-jotob-41191-v1/special_tokens_map.json
dtnewman-trainer-jotob-41191-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/dtnewman-trainer-jotob-41191-v1/tokenizer_config.json
dtnewman-trainer-jotob-41191-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/dtnewman-trainer-jotob-41191-v1/tokenizer.json
dtnewman-trainer-jotob-41191-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/dtnewman-trainer-jotob-41191-v1/flywheel_model.0.safetensors
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Job dtnewman-trainer-jotob-41191-v1-mkmlizer completed after 114.5s with status: succeeded
Stopping job with name dtnewman-trainer-jotob-41191-v1-mkmlizer
Pipeline stage MKMLizer completed in 114.95s
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Creating inference service dtnewman-trainer-jotob-41191-v1
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Inference service dtnewman-trainer-jotob-41191-v1 ready after 241.03087067604065s
Pipeline stage MKMLDeployer completed in 241.55s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.281843662261963s
Received healthy response to inference request in 1.5071287155151367s
Received healthy response to inference request in 1.5391490459442139s
Received healthy response to inference request in 1.4437851905822754s
Received healthy response to inference request in 1.648632526397705s
5 requests
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5th percentile: 1.4564538955688477
10th percentile: 1.4691226005554199
20th percentile: 1.4944600105285644
30th percentile: 1.513532781600952
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50th percentile: 1.5391490459442139
60th percentile: 1.5829424381256103
70th percentile: 1.6267358303070067
80th percentile: 1.7752747535705566
90th percentile: 2.0285592079162598
95th percentile: 2.1552014350891113
99th percentile: 2.2565152168273928
mean time: 1.6841078281402588
Pipeline stage StressChecker completed in 9.64s
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Evaluating %s Family Friendly Score with %s threads
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