submission_id: zonemercy-virgo-edit-v3-1e5_v6
developer_uid: chai_backend_admin
best_of: 8
celo_rating: 1239.14
display_name: 0919v1-1
family_friendly_score: 0.0
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-v3-1e5
latencies: [{'batch_size': 1, 'throughput': 0.616254772047907, 'latency_mean': 1.622603986263275, 'latency_p50': 1.6346508264541626, 'latency_p90': 1.7860641717910766}, {'batch_size': 3, 'throughput': 1.0730486476219079, 'latency_mean': 2.78537211894989, 'latency_p50': 2.8073004484176636, 'latency_p90': 3.034545826911926}, {'batch_size': 5, 'throughput': 1.2259515369219018, 'latency_mean': 4.05910391330719, 'latency_p50': 4.094809293746948, 'latency_p90': 4.5740478515625}, {'batch_size': 6, 'throughput': 1.2468851645900374, 'latency_mean': 4.800507589578628, 'latency_p50': 4.842710256576538, 'latency_p90': 5.366273760795593}, {'batch_size': 8, 'throughput': 1.2449865984264783, 'latency_mean': 6.398663282394409, 'latency_p50': 6.396507501602173, 'latency_p90': 7.293638491630554}, {'batch_size': 10, 'throughput': 1.207547016843202, 'latency_mean': 8.233990010023117, 'latency_p50': 8.266844272613525, 'latency_p90': 9.241224765777588}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: zonemercy/Virgo-Edit-v3-
model_name: 0919v1-1
model_num_parameters: 12772070400.0
model_repo: zonemercy/Virgo-Edit-v3-1e5
model_size: 13B
num_battles: 16881
num_wins: 8207
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.2
timestamp: 2024-09-19T14:16:50+00:00
us_pacific_date: 2024-09-19
win_ratio: 0.4861678810497008
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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-v3-1e5-v6-mkmlizer
Waiting for job on zonemercy-virgo-edit-v3-1e5-v6-mkmlizer to finish
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zonemercy-virgo-edit-v3-1e5-v6-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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zonemercy-virgo-edit-v3-1e5-v6-mkmlizer: ║ Version: 0.10.1 ║
zonemercy-virgo-edit-v3-1e5-v6-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
zonemercy-virgo-edit-v3-1e5-v6-mkmlizer: ║ https://mk1.ai ║
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zonemercy-virgo-edit-v3-1e5-v6-mkmlizer: ║ Chai Research Corp. ║
zonemercy-virgo-edit-v3-1e5-v6-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zonemercy-virgo-edit-v3-1e5-v6-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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Failed to get response for submission chaiml-virgo-edit-v1-1e5_v2: ('http://chaiml-virgo-edit-v1-1e5-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:37382->127.0.0.1:8080: read: connection reset by peer\n')
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zonemercy-virgo-edit-v3-1e5-v6-mkmlizer: Downloaded to shared memory in 78.410s
zonemercy-virgo-edit-v3-1e5-v6-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp_wwb5bps, device:0
zonemercy-virgo-edit-v3-1e5-v6-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zonemercy-virgo-edit-v3-1e5-v6-mkmlizer: quantized model in 40.997s
zonemercy-virgo-edit-v3-1e5-v6-mkmlizer: Processed model zonemercy/Virgo-Edit-v3-1e5 in 119.407s
zonemercy-virgo-edit-v3-1e5-v6-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-virgo-edit-v3-1e5-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-virgo-edit-v3-1e5-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-virgo-edit-v3-1e5-v6
zonemercy-virgo-edit-v3-1e5-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v3-1e5-v6/config.json
zonemercy-virgo-edit-v3-1e5-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v3-1e5-v6/special_tokens_map.json
zonemercy-virgo-edit-v3-1e5-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v3-1e5-v6/tokenizer_config.json
zonemercy-virgo-edit-v3-1e5-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v3-1e5-v6/tokenizer.json
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zonemercy-virgo-edit-v3-1e5-v6-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-virgo-edit-v3-1e5-v6/flywheel_model.0.safetensors
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Job zonemercy-virgo-edit-v3-1e5-v6-mkmlizer completed after 145.59s with status: succeeded
Stopping job with name zonemercy-virgo-edit-v3-1e5-v6-mkmlizer
Pipeline stage MKMLizer completed in 147.37s
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Creating inference service zonemercy-virgo-edit-v3-1e5-v6
Waiting for inference service zonemercy-virgo-edit-v3-1e5-v6 to be ready
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Inference service zonemercy-virgo-edit-v3-1e5-v6 ready after 271.7713785171509s
Pipeline stage MKMLDeployer completed in 272.11s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.336257219314575s
Received healthy response to inference request in 1.905669927597046s
Received healthy response to inference request in 2.4957010746002197s
Received healthy response to inference request in 1.2273857593536377s
Received healthy response to inference request in 1.8775238990783691s
5 requests
0 failed requests
5th percentile: 1.357413387298584
10th percentile: 1.4874410152435302
20th percentile: 1.7474962711334228
30th percentile: 1.8831531047821044
40th percentile: 1.8944115161895752
50th percentile: 1.905669927597046
60th percentile: 2.0779048442840575
70th percentile: 2.250139760971069
80th percentile: 2.368145990371704
90th percentile: 2.431923532485962
95th percentile: 2.463812303543091
99th percentile: 2.489323320388794
mean time: 1.9685075759887696
Pipeline stage StressChecker completed in 10.81s
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Creating inference service zonemercy-virgo-edit-v3-1e5-v6-profiler
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Inference service zonemercy-virgo-edit-v3-1e5-v6-profiler ready after 200.54742693901062s
Pipeline stage MKMLProfilerDeployer completed in 200.97s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-virgo-editd49dc362d2fdf5939e75343c7242bc79-deplo74d4s:/code/chaiverse_profiler_1726756092 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-virgo-editd49dc362d2fdf5939e75343c7242bc79-deplo74d4s --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726756092 && 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_1726756092/summary.json'
kubectl exec -it zonemercy-virgo-editd49dc362d2fdf5939e75343c7242bc79-deplo74d4s --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726756092/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1167.08s
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Running pipeline stage MKMLProfilerDeleter
Checking if service zonemercy-virgo-edit-v3-1e5-v6-profiler is running
Tearing down inference service zonemercy-virgo-edit-v3-1e5-v6-profiler
Service zonemercy-virgo-edit-v3-1e5-v6-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.11s
Shutdown handler de-registered
zonemercy-virgo-edit-v3-1e5_v6 status is now inactive due to auto deactivation removed underperforming models
zonemercy-virgo-edit-v3-1e5_v6 status is now torndown due to DeploymentManager action