submission_id: zonemercy-elite-pref-v2-1e5_v2
developer_uid: zonemercy
alignment_samples: 10368
alignment_score: 1.221462050917207
best_of: 8
celo_rating: 1256.49
display_name: zonemercy-elite-pref-v2-1e5_v2
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}</s>', 'user_template': '{user_name}: {message}</s>', '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': ['</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/Elite-Pref-v2-1e5
latencies: [{'batch_size': 1, 'throughput': 0.6079188973799805, 'latency_mean': 1.6448923778533935, 'latency_p50': 1.640441656112671, 'latency_p90': 1.8075187921524047}, {'batch_size': 3, 'throughput': 1.0545861086431119, 'latency_mean': 2.8375966596603392, 'latency_p50': 2.8160043954849243, 'latency_p90': 3.2011388778686523}, {'batch_size': 5, 'throughput': 1.1962676513393966, 'latency_mean': 4.1634951531887054, 'latency_p50': 4.150395631790161, 'latency_p90': 4.546587014198303}, {'batch_size': 6, 'throughput': 1.188785419509009, 'latency_mean': 5.010905927419662, 'latency_p50': 5.03061830997467, 'latency_p90': 5.631005358695984}, {'batch_size': 10, 'throughput': 1.1767187377841692, 'latency_mean': 8.439603976011277, 'latency_p50': 8.535823225975037, 'latency_p90': 9.681283473968506}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: zonemercy/Elite-Pref-v2-
model_name: zonemercy-elite-pref-v2-1e5_v2
model_num_parameters: 12772070400.0
model_repo: zonemercy/Elite-Pref-v2-1e5
model_size: 13B
num_battles: 10368
num_wins: 5339
propriety_score: 0.7274749721913237
propriety_total_count: 899.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.16
timestamp: 2024-09-13T17:43:27+00:00
us_pacific_date: 2024-09-13
win_ratio: 0.5149498456790124
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Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
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Running pipeline stage MKMLizer
Starting job with name zonemercy-elite-pref-v2-1e5-v2-mkmlizer
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zonemercy-elite-pref-v2-1e5-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zonemercy-elite-pref-v2-1e5-v2-mkmlizer: ║ _____ __ __ ║
zonemercy-elite-pref-v2-1e5-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
zonemercy-elite-pref-v2-1e5-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
zonemercy-elite-pref-v2-1e5-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
zonemercy-elite-pref-v2-1e5-v2-mkmlizer: ║ /___/ ║
zonemercy-elite-pref-v2-1e5-v2-mkmlizer: ║ ║
zonemercy-elite-pref-v2-1e5-v2-mkmlizer: ║ Version: 0.10.1 ║
zonemercy-elite-pref-v2-1e5-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
zonemercy-elite-pref-v2-1e5-v2-mkmlizer: ║ https://mk1.ai ║
zonemercy-elite-pref-v2-1e5-v2-mkmlizer: ║ ║
zonemercy-elite-pref-v2-1e5-v2-mkmlizer: ║ The license key for the current software has been verified as ║
zonemercy-elite-pref-v2-1e5-v2-mkmlizer: ║ belonging to: ║
zonemercy-elite-pref-v2-1e5-v2-mkmlizer: ║ ║
zonemercy-elite-pref-v2-1e5-v2-mkmlizer: ║ Chai Research Corp. ║
zonemercy-elite-pref-v2-1e5-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zonemercy-elite-pref-v2-1e5-v2-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
zonemercy-elite-pref-v2-1e5-v2-mkmlizer: ║ ║
zonemercy-elite-pref-v2-1e5-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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zonemercy-elite-pref-v2-1e5-v2-mkmlizer: Downloaded to shared memory in 68.978s
zonemercy-elite-pref-v2-1e5-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpz4tqof4w, device:0
zonemercy-elite-pref-v2-1e5-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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zonemercy-elite-pref-v2-1e5-v2-mkmlizer: quantized model in 41.168s
zonemercy-elite-pref-v2-1e5-v2-mkmlizer: Processed model zonemercy/Elite-Pref-v2-1e5 in 110.147s
zonemercy-elite-pref-v2-1e5-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-elite-pref-v2-1e5-v2/config.json
zonemercy-elite-pref-v2-1e5-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zonemercy-elite-pref-v2-1e5-v2/special_tokens_map.json
zonemercy-elite-pref-v2-1e5-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-elite-pref-v2-1e5-v2/tokenizer_config.json
zonemercy-elite-pref-v2-1e5-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-elite-pref-v2-1e5-v2/tokenizer.json
zonemercy-elite-pref-v2-1e5-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-elite-pref-v2-1e5-v2/flywheel_model.0.safetensors
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Job zonemercy-elite-pref-v2-1e5-v2-mkmlizer completed after 192.2s with status: succeeded
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Inference service zonemercy-elite-pref-v2-1e5-v2 ready after 182.4181089401245s
Pipeline stage MKMLDeployer completed in 182.91s
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Received healthy response to inference request in 2.328732490539551s
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Received healthy response to inference request in 2.6514787673950195s
Received healthy response to inference request in 1.932398796081543s
Received healthy response to inference request in 1.8254568576812744s
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mean time: 2.179462957382202
Pipeline stage StressChecker completed in 11.83s
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Inference service zonemercy-elite-pref-v2-1e5-v2-profiler ready after 190.46639132499695s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-elite-pref9398083bf6b20574bf562065307145f5-deplokj7mj:/code/chaiverse_profiler_1726250031 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-elite-pref9398083bf6b20574bf562065307145f5-deplokj7mj --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726250031 && 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_1726250031/summary.json'
kubectl exec -it zonemercy-elite-pref9398083bf6b20574bf562065307145f5-deplokj7mj --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726250031/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1031.37s
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Running pipeline stage MKMLProfilerDeleter
Checking if service zonemercy-elite-pref-v2-1e5-v2-profiler is running
Tearing down inference service zonemercy-elite-pref-v2-1e5-v2-profiler
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Pipeline stage MKMLProfilerDeleter completed in 2.25s
Shutdown handler de-registered
zonemercy-elite-pref-v2-1e5_v2 status is now inactive due to auto deactivation removed underperforming models