submission_id: zonemercy-virgo-edit-v1-1e5_v14
developer_uid: chai_backend_admin
alignment_samples: 13014
alignment_score: 2.2076009954095057
best_of: 8
celo_rating: 1248.15
display_name: zonemercy-virgo-edit-v1-1e5_v14
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': 0.6048752201137716, 'latency_mean': 1.6530420291423797, 'latency_p50': 1.661798119544983, 'latency_p90': 1.8173000812530518}, {'batch_size': 3, 'throughput': 1.070193619485853, 'latency_mean': 2.7971539843082427, 'latency_p50': 2.78164279460907, 'latency_p90': 3.042067551612854}, {'batch_size': 5, 'throughput': 1.2038467083400786, 'latency_mean': 4.135967930555344, 'latency_p50': 4.139311194419861, 'latency_p90': 4.555938863754272}, {'batch_size': 6, 'throughput': 1.2252298173131444, 'latency_mean': 4.870773599147797, 'latency_p50': 4.879962086677551, 'latency_p90': 5.53516092300415}, {'batch_size': 8, 'throughput': 1.2167924573468096, 'latency_mean': 6.539128736257553, 'latency_p50': 6.58390998840332, 'latency_p90': 7.390569448471069}, {'batch_size': 10, 'throughput': 1.1956279783675492, 'latency_mean': 8.323347288370133, 'latency_p50': 8.280322432518005, 'latency_p90': 9.312158012390137}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: zonemercy/Virgo-Edit-v1-
model_name: zonemercy-virgo-edit-v1-1e5_v14
model_num_parameters: 12772070400.0
model_repo: zonemercy/Virgo-Edit-v1-1e5
model_size: 13B
num_battles: 13012
num_wins: 6462
propriety_score: 0.7324444444444445
propriety_total_count: 1125.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.18
timestamp: 2024-09-13T22:52:16+00:00
us_pacific_date: 2024-09-13
win_ratio: 0.49661850599446666
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-v14-mkmlizer
Waiting for job on zonemercy-virgo-edit-v1-1e5-v14-mkmlizer to finish
zonemercy-virgo-edit-v1-1e5-v14-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zonemercy-virgo-edit-v1-1e5-v14-mkmlizer: ║ _____ __ __ ║
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zonemercy-virgo-edit-v1-1e5-v14-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
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zonemercy-virgo-edit-v1-1e5-v14-mkmlizer: ║ ║
zonemercy-virgo-edit-v1-1e5-v14-mkmlizer: ║ Version: 0.10.1 ║
zonemercy-virgo-edit-v1-1e5-v14-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
zonemercy-virgo-edit-v1-1e5-v14-mkmlizer: ║ https://mk1.ai ║
zonemercy-virgo-edit-v1-1e5-v14-mkmlizer: ║ ║
zonemercy-virgo-edit-v1-1e5-v14-mkmlizer: ║ The license key for the current software has been verified as ║
zonemercy-virgo-edit-v1-1e5-v14-mkmlizer: ║ belonging to: ║
zonemercy-virgo-edit-v1-1e5-v14-mkmlizer: ║ ║
zonemercy-virgo-edit-v1-1e5-v14-mkmlizer: ║ Chai Research Corp. ║
zonemercy-virgo-edit-v1-1e5-v14-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zonemercy-virgo-edit-v1-1e5-v14-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
zonemercy-virgo-edit-v1-1e5-v14-mkmlizer: ║ ║
zonemercy-virgo-edit-v1-1e5-v14-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zonemercy-virgo-edit-v1-1e5-v14-mkmlizer: Downloaded to shared memory in 59.839s
zonemercy-virgo-edit-v1-1e5-v14-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpbhj7zs5i, device:0
zonemercy-virgo-edit-v1-1e5-v14-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zonemercy-virgo-edit-v1-1e5-v14-mkmlizer: quantized model in 41.268s
zonemercy-virgo-edit-v1-1e5-v14-mkmlizer: Processed model zonemercy/Virgo-Edit-v1-1e5 in 101.107s
zonemercy-virgo-edit-v1-1e5-v14-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-virgo-edit-v1-1e5-v14-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-virgo-edit-v1-1e5-v14-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-virgo-edit-v1-1e5-v14
zonemercy-virgo-edit-v1-1e5-v14-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v1-1e5-v14/config.json
zonemercy-virgo-edit-v1-1e5-v14-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v1-1e5-v14/special_tokens_map.json
zonemercy-virgo-edit-v1-1e5-v14-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v1-1e5-v14/tokenizer_config.json
zonemercy-virgo-edit-v1-1e5-v14-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-virgo-edit-v1-1e5-v14/tokenizer.json
zonemercy-virgo-edit-v1-1e5-v14-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-virgo-edit-v1-1e5-v14/flywheel_model.0.safetensors
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Job zonemercy-virgo-edit-v1-1e5-v14-mkmlizer completed after 127.42s with status: succeeded
Stopping job with name zonemercy-virgo-edit-v1-1e5-v14-mkmlizer
Pipeline stage MKMLizer completed in 128.66s
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Pipeline stage MKMLTemplater completed in 0.09s
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Running pipeline stage MKMLDeployer
Creating inference service zonemercy-virgo-edit-v1-1e5-v14
Waiting for inference service zonemercy-virgo-edit-v1-1e5-v14 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
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Inference service zonemercy-virgo-edit-v1-1e5-v14 ready after 191.7133252620697s
Pipeline stage MKMLDeployer completed in 192.23s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.3136768341064453s
Received healthy response to inference request in 1.8575844764709473s
Received healthy response to inference request in 1.6297953128814697s
Received healthy response to inference request in 1.6571626663208008s
Received healthy response to inference request in 1.8620777130126953s
5 requests
0 failed requests
5th percentile: 1.635268783569336
10th percentile: 1.640742254257202
20th percentile: 1.6516891956329345
30th percentile: 1.69724702835083
40th percentile: 1.7774157524108887
50th percentile: 1.8575844764709473
60th percentile: 1.8593817710876466
70th percentile: 1.8611790657043457
80th percentile: 1.9523975372314455
90th percentile: 2.1330371856689454
95th percentile: 2.223357009887695
99th percentile: 2.2956128692626954
mean time: 1.8640594005584716
Pipeline stage StressChecker completed in 9.92s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 4.56s
Shutdown handler de-registered
zonemercy-virgo-edit-v1-1e5_v14 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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Pipeline stage MKMLProfilerTemplater completed in 0.12s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service zonemercy-virgo-edit-v1-1e5-v14-profiler
Waiting for inference service zonemercy-virgo-edit-v1-1e5-v14-profiler to be ready
Inference service zonemercy-virgo-edit-v1-1e5-v14-profiler ready after 170.39811372756958s
Pipeline stage MKMLProfilerDeployer completed in 173.93s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-virgo-edit034c00315e08df2557e02b46a77634f3-deplomrrhd:/code/chaiverse_profiler_1726268485 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-virgo-edit034c00315e08df2557e02b46a77634f3-deplomrrhd --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726268485 && 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_1726268485/summary.json'
kubectl exec -it zonemercy-virgo-edit034c00315e08df2557e02b46a77634f3-deplomrrhd --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726268485/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1186.87s
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Running pipeline stage MKMLProfilerDeleter
Checking if service zonemercy-virgo-edit-v1-1e5-v14-profiler is running
Tearing down inference service zonemercy-virgo-edit-v1-1e5-v14-profiler
Service zonemercy-virgo-edit-v1-1e5-v14-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.73s
Shutdown handler de-registered
zonemercy-virgo-edit-v1-1e5_v14 status is now inactive due to auto deactivation removed underperforming models