submission_id: zonemercy-vingt-deux-v0-1e5_v50
developer_uid: chai_backend_admin
best_of: 1
celo_rating: 1211.07
display_name: temp-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|>', '<|eot_id|>'], 'max_input_tokens': 1024, 'best_of': 1, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A6000': 1}
ineligible_reason: num_battles<5000
is_internal_developer: True
language_model: zonemercy/Vingt-Deux-v0-1e5
latencies: [{'batch_size': 1, 'throughput': 0.39666234512896775, 'latency_mean': 2.5209606862068177, 'latency_p50': 2.5613423585891724, 'latency_p90': 2.779471516609192}, {'batch_size': 3, 'throughput': 0.8570699460883737, 'latency_mean': 3.482161387205124, 'latency_p50': 3.493536949157715, 'latency_p90': 3.867747116088867}, {'batch_size': 5, 'throughput': 1.165034687754655, 'latency_mean': 4.272225122451783, 'latency_p50': 4.290209174156189, 'latency_p90': 4.79003369808197}, {'batch_size': 6, 'throughput': 1.2804174876868268, 'latency_mean': 4.655457677841187, 'latency_p50': 4.61836850643158, 'latency_p90': 5.2252470493316645}, {'batch_size': 8, 'throughput': 1.4516056875333017, 'latency_mean': 5.4625867247581485, 'latency_p50': 5.469113349914551, 'latency_p90': 6.087079286575317}, {'batch_size': 10, 'throughput': 1.5744341507057946, 'latency_mean': 6.301669685840607, 'latency_p50': 6.3148273229599, 'latency_p90': 7.07746353149414}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: zonemercy/Vingt-Deux-v0-
model_name: temp-1
model_num_parameters: 22247282688.0
model_repo: zonemercy/Vingt-Deux-v0-1e5
model_size: 22B
num_battles: 4709
num_wins: 2174
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 0.96
timestamp: 2024-09-24T12:24:46+00:00
us_pacific_date: 2024-09-24
win_ratio: 0.4616691441919728
Download Preference Data
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 zonemercy-vingt-deux-v0-1e5-v50-mkmlizer
Waiting for job on zonemercy-vingt-deux-v0-1e5-v50-mkmlizer to finish
zonemercy-vingt-deux-v0-1e5-v50-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zonemercy-vingt-deux-v0-1e5-v50-mkmlizer: ║ _____ __ __ ║
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zonemercy-vingt-deux-v0-1e5-v50-mkmlizer: ║ /___/ ║
zonemercy-vingt-deux-v0-1e5-v50-mkmlizer: ║ ║
zonemercy-vingt-deux-v0-1e5-v50-mkmlizer: ║ Version: 0.10.1 ║
zonemercy-vingt-deux-v0-1e5-v50-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
zonemercy-vingt-deux-v0-1e5-v50-mkmlizer: ║ https://mk1.ai ║
zonemercy-vingt-deux-v0-1e5-v50-mkmlizer: ║ ║
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zonemercy-vingt-deux-v0-1e5-v50-mkmlizer: ║ Chai Research Corp. ║
zonemercy-vingt-deux-v0-1e5-v50-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zonemercy-vingt-deux-v0-1e5-v50-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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zonemercy-vingt-deux-v0-1e5-v50-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
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zonemercy-vingt-deux-v0-1e5-v50-mkmlizer: Downloaded to shared memory in 48.386s
zonemercy-vingt-deux-v0-1e5-v50-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp3vvtxzca, device:0
zonemercy-vingt-deux-v0-1e5-v50-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zonemercy-vingt-deux-v0-1e5-v50-mkmlizer: quantized model in 44.436s
zonemercy-vingt-deux-v0-1e5-v50-mkmlizer: Processed model zonemercy/Vingt-Deux-v0-1e5 in 92.823s
zonemercy-vingt-deux-v0-1e5-v50-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-vingt-deux-v0-1e5-v50-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-vingt-deux-v0-1e5-v50-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-vingt-deux-v0-1e5-v50
zonemercy-vingt-deux-v0-1e5-v50-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-vingt-deux-v0-1e5-v50/config.json
zonemercy-vingt-deux-v0-1e5-v50-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zonemercy-vingt-deux-v0-1e5-v50/special_tokens_map.json
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zonemercy-vingt-deux-v0-1e5-v50-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/zonemercy-vingt-deux-v0-1e5-v50/flywheel_model.1.safetensors
zonemercy-vingt-deux-v0-1e5-v50-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-vingt-deux-v0-1e5-v50/flywheel_model.0.safetensors
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Job zonemercy-vingt-deux-v0-1e5-v50-mkmlizer completed after 125.93s with status: succeeded
Stopping job with name zonemercy-vingt-deux-v0-1e5-v50-mkmlizer
Pipeline stage MKMLizer completed in 128.21s
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Inference service zonemercy-vingt-deux-v0-1e5-v50 ready after 210.51561546325684s
Pipeline stage MKMLDeployer completed in 211.75s
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Received healthy response to inference request in 1.9263148307800293s
Received healthy response to inference request in 2.8409769535064697s
Received healthy response to inference request in 1.5580663681030273s
Received healthy response to inference request in 2.889124870300293s
Received healthy response to inference request in 2.34616756439209s
5 requests
0 failed requests
5th percentile: 1.6317160606384278
10th percentile: 1.7053657531738282
20th percentile: 1.8526651382446289
30th percentile: 2.0102853775024414
40th percentile: 2.1782264709472656
50th percentile: 2.34616756439209
60th percentile: 2.544091320037842
70th percentile: 2.7420150756835935
80th percentile: 2.8506065368652345
90th percentile: 2.8698657035827635
95th percentile: 2.8794952869415282
99th percentile: 2.88719895362854
mean time: 2.3121301174163817
Pipeline stage StressChecker completed in 12.37s
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Inference service zonemercy-vingt-deux-v0-1e5-v50-profiler ready after 210.46669483184814s
Pipeline stage MKMLProfilerDeployer completed in 210.88s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-vingt-deux7e160e99229ceed3305a3d24d526002e-deplop5jh5:/code/chaiverse_profiler_1727181294 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-vingt-deux7e160e99229ceed3305a3d24d526002e-deplop5jh5 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1727181294 && python profiles.py profile --best_of_n 1 --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_1727181294/summary.json'
kubectl exec -it zonemercy-vingt-deux7e160e99229ceed3305a3d24d526002e-deplop5jh5 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1727181294/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1335.29s
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Running pipeline stage MKMLProfilerDeleter
Checking if service zonemercy-vingt-deux-v0-1e5-v50-profiler is running
Tearing down inference service zonemercy-vingt-deux-v0-1e5-v50-profiler
Service zonemercy-vingt-deux-v0-1e5-v50-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.14s
Shutdown handler de-registered
zonemercy-vingt-deux-v0-1e5_v50 status is now inactive due to auto deactivation removed underperforming models
Pipeline stage MKMLModelDeleter completed in 3.06s
zonemercy-vingt-deux-v0-1e5_v50 status is now torndown due to DeploymentManager action
Shutdown handler de-registered