developer_uid: zhenzhe
submission_id: white-bird-1-sft-label1-lora_v2
model_name: white-bird-1-sft-label1-lora_v2
model_group: white-bird/1_sft_label1_
status: torndown
timestamp: 2025-03-01T11:09:39+00:00
num_battles: 9738
num_wins: 4168
celo_rating: 1221.84
family_friendly_score: 0.6255999999999999
family_friendly_standard_error: 0.006844335468107915
submission_type: basic
model_repo: white-bird/1_sft_label1_lora
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': 0.6092471587334538, 'latency_mean': 1.6413092136383056, 'latency_p50': 1.6488263607025146, 'latency_p90': 1.8066537141799928}, {'batch_size': 3, 'throughput': 1.1018802359966027, 'latency_mean': 2.7119477927684783, 'latency_p50': 2.6942542791366577, 'latency_p90': 3.0343254089355467}, {'batch_size': 5, 'throughput': 1.3365976179576586, 'latency_mean': 3.727786430120468, 'latency_p50': 3.7390143871307373, 'latency_p90': 4.200297737121582}, {'batch_size': 6, 'throughput': 1.393525416246547, 'latency_mean': 4.287163721323013, 'latency_p50': 4.29098653793335, 'latency_p90': 4.808632946014404}, {'batch_size': 8, 'throughput': 1.4685883637524046, 'latency_mean': 5.422524079084396, 'latency_p50': 5.402818202972412, 'latency_p90': 5.995716023445129}, {'batch_size': 10, 'throughput': 1.4960146200326319, 'latency_mean': 6.629568728208542, 'latency_p50': 6.677496671676636, 'latency_p90': 7.46012897491455}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: white-bird-1-sft-label1-lora_v2
is_internal_developer: False
language_model: white-bird/1_sft_label1_lora
model_size: 13B
ranking_group: single
throughput_3p7s: 1.34
us_pacific_date: 2025-03-01
win_ratio: 0.42801396590675705
generation_params: {'temperature': 0.95, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', 'Me:', 'You:', '####', 'User:', 'Bot:'], '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 white-bird-1-sft-label1-lora-v2-mkmlizer
Waiting for job on white-bird-1-sft-label1-lora-v2-mkmlizer to finish
white-bird-1-sft-label1-lora-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
white-bird-1-sft-label1-lora-v2-mkmlizer: ║ _____ __ __ ║
white-bird-1-sft-label1-lora-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
white-bird-1-sft-label1-lora-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
white-bird-1-sft-label1-lora-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
white-bird-1-sft-label1-lora-v2-mkmlizer: ║ /___/ ║
white-bird-1-sft-label1-lora-v2-mkmlizer: ║ ║
white-bird-1-sft-label1-lora-v2-mkmlizer: ║ Version: 0.12.8 ║
white-bird-1-sft-label1-lora-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
white-bird-1-sft-label1-lora-v2-mkmlizer: ║ https://mk1.ai ║
white-bird-1-sft-label1-lora-v2-mkmlizer: ║ ║
white-bird-1-sft-label1-lora-v2-mkmlizer: ║ The license key for the current software has been verified as ║
white-bird-1-sft-label1-lora-v2-mkmlizer: ║ belonging to: ║
white-bird-1-sft-label1-lora-v2-mkmlizer: ║ ║
white-bird-1-sft-label1-lora-v2-mkmlizer: ║ Chai Research Corp. ║
white-bird-1-sft-label1-lora-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
white-bird-1-sft-label1-lora-v2-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
white-bird-1-sft-label1-lora-v2-mkmlizer: ║ ║
white-bird-1-sft-label1-lora-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
white-bird-1-sft-label1-lora-v2-mkmlizer: Downloaded to shared memory in 83.355s
white-bird-1-sft-label1-lora-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmph1tycgtf, device:0
white-bird-1-sft-label1-lora-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
white-bird-1-sft-label1-lora-v2-mkmlizer: quantized model in 41.303s
white-bird-1-sft-label1-lora-v2-mkmlizer: Processed model white-bird/1_sft_label1_lora in 124.659s
white-bird-1-sft-label1-lora-v2-mkmlizer: creating bucket guanaco-mkml-models
white-bird-1-sft-label1-lora-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
white-bird-1-sft-label1-lora-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/white-bird-1-sft-label1-lora-v2
white-bird-1-sft-label1-lora-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/white-bird-1-sft-label1-lora-v2/config.json
white-bird-1-sft-label1-lora-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/white-bird-1-sft-label1-lora-v2/special_tokens_map.json
white-bird-1-sft-label1-lora-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/white-bird-1-sft-label1-lora-v2/tokenizer_config.json
white-bird-1-sft-label1-lora-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/white-bird-1-sft-label1-lora-v2/tokenizer.json
white-bird-1-sft-label1-lora-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/white-bird-1-sft-label1-lora-v2/flywheel_model.0.safetensors
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Job white-bird-1-sft-label1-lora-v2-mkmlizer completed after 145.24s with status: succeeded
Stopping job with name white-bird-1-sft-label1-lora-v2-mkmlizer
Pipeline stage MKMLizer completed in 145.71s
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Pipeline stage MKMLTemplater completed in 0.14s
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Running pipeline stage MKMLDeployer
Creating inference service white-bird-1-sft-label1-lora-v2
Waiting for inference service white-bird-1-sft-label1-lora-v2 to be ready
Inference service white-bird-1-sft-label1-lora-v2 ready after 140.5219395160675s
Pipeline stage MKMLDeployer completed in 141.06s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.330190420150757s
Received healthy response to inference request in 1.5244600772857666s
Received healthy response to inference request in 1.5079810619354248s
Received healthy response to inference request in 1.8784592151641846s
Received healthy response to inference request in 1.5649826526641846s
5 requests
0 failed requests
5th percentile: 1.511276865005493
10th percentile: 1.5145726680755616
20th percentile: 1.5211642742156983
30th percentile: 1.5325645923614502
40th percentile: 1.5487736225128175
50th percentile: 1.5649826526641846
60th percentile: 1.6903732776641847
70th percentile: 1.8157639026641845
80th percentile: 1.9688054561614992
90th percentile: 2.149497938156128
95th percentile: 2.2398441791534425
99th percentile: 2.312121171951294
mean time: 1.7612146854400634
Pipeline stage StressChecker completed in 10.15s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.70s
Shutdown handler de-registered
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Evaluating %s Family Friendly Score with %s threads
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Pipeline stage OfflineFamilyFriendlyScorer completed in 3166.30s
Shutdown handler de-registered
white-bird-1-sft-label1-lora_v2 status is now inactive due to auto deactivation removed underperforming models
white-bird-1-sft-label1-lora_v2 status is now torndown due to DeploymentManager action