submission_id: zonemercy-virgo-edit-v1-1e5_v13
developer_uid: chai_backend_admin
alignment_samples: 12835
alignment_score: 2.077736489610051
best_of: 8
celo_rating: 1248.93
display_name: zonemercy-virgo-edit-v1-1e5_v13
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '###', 'Bot:', 'User:', 'You:', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: True
language_model: zonemercy/Virgo-Edit-v1-1e5
latencies: [{'batch_size': 1, 'throughput': 0.6076376332678005, 'latency_mean': 1.6455982315540314, 'latency_p50': 1.6475688219070435, 'latency_p90': 1.8217820167541503}, {'batch_size': 3, 'throughput': 1.088456338176447, 'latency_mean': 2.7459326756000517, 'latency_p50': 2.7277727127075195, 'latency_p90': 3.06469087600708}, {'batch_size': 5, 'throughput': 1.2213293247205612, 'latency_mean': 4.079267559051513, 'latency_p50': 4.053890705108643, 'latency_p90': 4.59146704673767}, {'batch_size': 6, 'throughput': 1.2504158098890878, 'latency_mean': 4.781702936887741, 'latency_p50': 4.8488609790802, 'latency_p90': 5.299701523780823}, {'batch_size': 8, 'throughput': 1.2204434295679445, 'latency_mean': 6.5171959114074705, 'latency_p50': 6.565092086791992, 'latency_p90': 7.184464836120605}, {'batch_size': 10, 'throughput': 1.1873973659756332, 'latency_mean': 8.364840708971023, 'latency_p50': 8.365475535392761, 'latency_p90': 9.415766024589539}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: zonemercy/Virgo-Edit-v1-
model_name: zonemercy-virgo-edit-v1-1e5_v13
model_num_parameters: 12772070400.0
model_repo: zonemercy/Virgo-Edit-v1-1e5
model_size: 13B
num_battles: 12833
num_wins: 6385
propriety_score: 0.7303167420814479
propriety_total_count: 1105.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.2
timestamp: 2024-09-13T22:30:17+00:00
us_pacific_date: 2024-09-13
win_ratio: 0.49754539078937116
Download Preference Data
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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 zonemercy-virgo-edit-v1-1e5-v13-mkmlizer
Waiting for job on zonemercy-virgo-edit-v1-1e5-v13-mkmlizer to finish
zonemercy-virgo-edit-v1-1e5-v13-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zonemercy-virgo-edit-v1-1e5-v13-mkmlizer: ║ _____ __ __ ║
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zonemercy-virgo-edit-v1-1e5-v13-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
zonemercy-virgo-edit-v1-1e5-v13-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
zonemercy-virgo-edit-v1-1e5-v13-mkmlizer: ║ /___/ ║
zonemercy-virgo-edit-v1-1e5-v13-mkmlizer: ║ ║
zonemercy-virgo-edit-v1-1e5-v13-mkmlizer: ║ Version: 0.11.12 ║
zonemercy-virgo-edit-v1-1e5-v13-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
zonemercy-virgo-edit-v1-1e5-v13-mkmlizer: ║ https://mk1.ai ║
zonemercy-virgo-edit-v1-1e5-v13-mkmlizer: ║ ║
zonemercy-virgo-edit-v1-1e5-v13-mkmlizer: ║ The license key for the current software has been verified as ║
zonemercy-virgo-edit-v1-1e5-v13-mkmlizer: ║ belonging to: ║
zonemercy-virgo-edit-v1-1e5-v13-mkmlizer: ║ ║
zonemercy-virgo-edit-v1-1e5-v13-mkmlizer: ║ Chai Research Corp. ║
zonemercy-virgo-edit-v1-1e5-v13-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zonemercy-virgo-edit-v1-1e5-v13-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
zonemercy-virgo-edit-v1-1e5-v13-mkmlizer: ║ ║
zonemercy-virgo-edit-v1-1e5-v13-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zonemercy-virgo-edit-v1-1e5-v13-mkmlizer: Downloaded to shared memory in 66.429s
zonemercy-virgo-edit-v1-1e5-v13-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpqzc33y2s, device:0
zonemercy-virgo-edit-v1-1e5-v13-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zonemercy-virgo-edit-v1-1e5-v13-mkmlizer: quantized model in 38.939s
zonemercy-virgo-edit-v1-1e5-v13-mkmlizer: Processed model zonemercy/Virgo-Edit-v1-1e5 in 105.368s
zonemercy-virgo-edit-v1-1e5-v13-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-virgo-edit-v1-1e5-v13-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-virgo-edit-v1-1e5-v13-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-virgo-edit-v1-1e5-v13
zonemercy-virgo-edit-v1-1e5-v13-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v1-1e5-v13/config.json
zonemercy-virgo-edit-v1-1e5-v13-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v1-1e5-v13/special_tokens_map.json
zonemercy-virgo-edit-v1-1e5-v13-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v1-1e5-v13/tokenizer_config.json
zonemercy-virgo-edit-v1-1e5-v13-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v1-1e5-v13/tokenizer.json
zonemercy-virgo-edit-v1-1e5-v13-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-virgo-edit-v1-1e5-v13/flywheel_model.0.safetensors
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Job zonemercy-virgo-edit-v1-1e5-v13-mkmlizer completed after 129.13s with status: succeeded
Stopping job with name zonemercy-virgo-edit-v1-1e5-v13-mkmlizer
Pipeline stage MKMLizer completed in 130.11s
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Running pipeline stage MKMLDeployer
Creating inference service zonemercy-virgo-edit-v1-1e5-v13
Waiting for inference service zonemercy-virgo-edit-v1-1e5-v13 to be ready
Inference service zonemercy-virgo-edit-v1-1e5-v13 ready after 30.49283003807068s
Pipeline stage MKMLDeployer completed in 31.34s
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Running pipeline stage StressChecker
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Received healthy response to inference request in 2.3631770610809326s
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Received healthy response to inference request in 1.696821928024292s
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Received healthy response to inference request in 1.4133400917053223s
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Received healthy response to inference request in 2.0080370903015137s
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Received healthy response to inference request in 1.737165927886963s
5 requests
0 failed requests
5th percentile: 1.4700364589691162
10th percentile: 1.52673282623291
20th percentile: 1.640125560760498
30th percentile: 1.7048907279968262
40th percentile: 1.7210283279418945
50th percentile: 1.737165927886963
60th percentile: 1.8455143928527833
70th percentile: 1.9538628578186035
80th percentile: 2.0790650844573975
90th percentile: 2.221121072769165
95th percentile: 2.292149066925049
99th percentile: 2.348971462249756
mean time: 1.8437084197998046
Pipeline stage StressChecker completed in 11.59s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 1.99s
Shutdown handler de-registered
zonemercy-virgo-edit-v1-1e5_v13 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Skipping teardown as no inference service was successfully deployed
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.10s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service zonemercy-virgo-edit-v1-1e5-v13-profiler
Waiting for inference service zonemercy-virgo-edit-v1-1e5-v13-profiler to be ready
Inference service zonemercy-virgo-edit-v1-1e5-v13-profiler ready after 180.40761160850525s
Pipeline stage MKMLProfilerDeployer completed in 180.78s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-virgo-edit27c3e746b9126f6abc76c2864a918c74-deplowq8zx:/code/chaiverse_profiler_1726267027 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-virgo-edit27c3e746b9126f6abc76c2864a918c74-deplowq8zx --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726267027 && python profiles.py profile --best_of_n 8 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1726267027/summary.json'
kubectl exec -it zonemercy-virgo-edit27c3e746b9126f6abc76c2864a918c74-deplowq8zx --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726267027/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1174.45s
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Running pipeline stage MKMLProfilerDeleter
Checking if service zonemercy-virgo-edit-v1-1e5-v13-profiler is running
Tearing down inference service zonemercy-virgo-edit-v1-1e5-v13-profiler
Service zonemercy-virgo-edit-v1-1e5-v13-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 3.44s
Shutdown handler de-registered
zonemercy-virgo-edit-v1-1e5_v13 status is now inactive due to auto deactivation removed underperforming models