submission_id: zonemercy-vingt-deux-v0-1e5_v36
developer_uid: chai_backend_admin
best_of: 1
celo_rating: 1198.63
display_name: temp-4
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': 1.1235, 'top_p': 1.0, 'min_p': 0.08, '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': 0.398299027086683, 'latency_mean': 2.5105796575546266, 'latency_p50': 2.525815010070801, 'latency_p90': 2.7774410009384156}, {'batch_size': 3, 'throughput': 0.8591839122020785, 'latency_mean': 3.483685253858566, 'latency_p50': 3.4806705713272095, 'latency_p90': 3.807219052314758}, {'batch_size': 5, 'throughput': 1.178291380662655, 'latency_mean': 4.223178884983063, 'latency_p50': 4.19424843788147, 'latency_p90': 4.728730487823486}, {'batch_size': 6, 'throughput': 1.2725924154013422, 'latency_mean': 4.676942309141159, 'latency_p50': 4.664937496185303, 'latency_p90': 5.325017666816711}, {'batch_size': 8, 'throughput': 1.442352801418087, 'latency_mean': 5.483057706356049, 'latency_p50': 5.4713486433029175, 'latency_p90': 6.157735753059387}, {'batch_size': 10, 'throughput': 1.583817955217221, 'latency_mean': 6.247728770971298, 'latency_p50': 6.235690355300903, 'latency_p90': 7.108253788948059}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: zonemercy/Vingt-Deux-v0-
model_name: temp-4
model_num_parameters: 22247282688.0
model_repo: zonemercy/Vingt-Deux-v0-1e5
model_size: 22B
num_battles: 3348
num_wins: 1466
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 0.97
timestamp: 2024-09-24T10:01:33+00:00
us_pacific_date: 2024-09-24
win_ratio: 0.4378733572281959
Download Preference Data
Resubmit model
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-vingt-deux-v0-1e5-v36-mkmlizer
Waiting for job on zonemercy-vingt-deux-v0-1e5-v36-mkmlizer to finish
zonemercy-vingt-deux-v0-1e5-v36-mkmlizer: Downloaded to shared memory in 49.175s
zonemercy-vingt-deux-v0-1e5-v36-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp6zb7v_xw, device:0
zonemercy-vingt-deux-v0-1e5-v36-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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zonemercy-vingt-deux-v0-1e5-v36-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-vingt-deux-v0-1e5-v36-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-vingt-deux-v0-1e5-v36-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-vingt-deux-v0-1e5-v36
zonemercy-vingt-deux-v0-1e5-v36-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-vingt-deux-v0-1e5-v36/config.json
zonemercy-vingt-deux-v0-1e5-v36-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zonemercy-vingt-deux-v0-1e5-v36/special_tokens_map.json
zonemercy-vingt-deux-v0-1e5-v36-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-vingt-deux-v0-1e5-v36/tokenizer_config.json
zonemercy-vingt-deux-v0-1e5-v36-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-vingt-deux-v0-1e5-v36/tokenizer.json
zonemercy-vingt-deux-v0-1e5-v36-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-vingt-deux-v0-1e5-v36/flywheel_model.0.safetensors
zonemercy-vingt-deux-v0-1e5-v36-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/zonemercy-vingt-deux-v0-1e5-v36/flywheel_model.1.safetensors
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Job zonemercy-vingt-deux-v0-1e5-v36-mkmlizer completed after 158.92s with status: succeeded
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Inference service zonemercy-vingt-deux-v0-1e5-v36 ready after 202.1022310256958s
Pipeline stage MKMLDeployer completed in 202.47s
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Running pipeline stage StressChecker
Received healthy response to inference request in 3.2086172103881836s
Received healthy response to inference request in 3.466298818588257s
Received healthy response to inference request in 1.8430848121643066s
Received healthy response to inference request in 1.9539892673492432s
Received healthy response to inference request in 1.3368585109710693s
5 requests
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5th percentile: 1.4381037712097169
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mean time: 2.3617697238922117
Pipeline stage StressChecker completed in 13.07s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 9.91s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-vingt-deuxb60bbc8074250e5543f103b1a02b4984-deplo4blks:/code/chaiverse_profiler_1727172739 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-vingt-deuxb60bbc8074250e5543f103b1a02b4984-deplo4blks --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1727172739 && 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_1727172739/summary.json'
kubectl exec -it zonemercy-vingt-deuxb60bbc8074250e5543f103b1a02b4984-deplo4blks --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1727172739/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1332.59s
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Checking if service zonemercy-vingt-deux-v0-1e5-v36-profiler is running
Tearing down inference service zonemercy-vingt-deux-v0-1e5-v36-profiler
Service zonemercy-vingt-deux-v0-1e5-v36-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.99s
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zonemercy-vingt-deux-v0-1e5_v36 status is now inactive due to auto deactivation removed underperforming models
Pipeline stage MKMLModelDeleter completed in 5.83s
zonemercy-vingt-deux-v0-1e5_v36 status is now torndown due to DeploymentManager action