submission_id: mistralai-mistral-nemo_9330_v111
developer_uid: immaculate_possum_03470
best_of: 8
celo_rating: 1199.3
display_name: nemo_base_1
family_friendly_score: 0.5992497655517349
family_friendly_standard_error: 0.008648722661919501
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 0.99, 'top_p': 0.2, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
ineligible_reason: num_battles<5000
is_internal_developer: False
language_model: mistralai/Mistral-Nemo-Instruct-2407
latencies: [{'batch_size': 1, 'throughput': 0.615539755562415, 'latency_mean': 1.6245236718654632, 'latency_p50': 1.6225464344024658, 'latency_p90': 1.799915647506714}, {'batch_size': 3, 'throughput': 1.0856686525529886, 'latency_mean': 2.75882107257843, 'latency_p50': 2.7677621841430664, 'latency_p90': 3.1219729661941527}, {'batch_size': 5, 'throughput': 1.2298992302440082, 'latency_mean': 4.044571107625961, 'latency_p50': 4.040442585945129, 'latency_p90': 4.541199851036072}, {'batch_size': 6, 'throughput': 1.2529085445204464, 'latency_mean': 4.769165869951248, 'latency_p50': 4.809491038322449, 'latency_p90': 5.413753247261047}, {'batch_size': 8, 'throughput': 1.2302039095425297, 'latency_mean': 6.471794348955155, 'latency_p50': 6.528671383857727, 'latency_p90': 7.241643285751342}, {'batch_size': 10, 'throughput': 1.198141580001732, 'latency_mean': 8.308516647815704, 'latency_p50': 8.265975713729858, 'latency_p90': 9.394449639320374}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: mistralai/Mistral-Nemo-I
model_name: nemo_base_1
model_num_parameters: 12772070400.0
model_repo: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
num_battles: 3267
num_wins: 1436
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.21
timestamp: 2024-09-26T18:07:04+00:00
us_pacific_date: 2024-09-26
win_ratio: 0.43954698500153044
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Running pipeline stage MKMLizer
Starting job with name mistralai-mistral-nemo-9330-v111-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v111-mkmlizer to finish
mistralai-mistral-nemo-9330-v111-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v111-mkmlizer: ║ _____ __ __ ║
mistralai-mistral-nemo-9330-v111-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
mistralai-mistral-nemo-9330-v111-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
mistralai-mistral-nemo-9330-v111-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mistral-nemo-9330-v111-mkmlizer: ║ /___/ ║
mistralai-mistral-nemo-9330-v111-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v111-mkmlizer: ║ Version: 0.11.12 ║
mistralai-mistral-nemo-9330-v111-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mistral-nemo-9330-v111-mkmlizer: ║ https://mk1.ai ║
mistralai-mistral-nemo-9330-v111-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v111-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mistral-nemo-9330-v111-mkmlizer: ║ belonging to: ║
mistralai-mistral-nemo-9330-v111-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v111-mkmlizer: ║ Chai Research Corp. ║
mistralai-mistral-nemo-9330-v111-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mistral-nemo-9330-v111-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
mistralai-mistral-nemo-9330-v111-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v111-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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mistralai-mistral-nemo-9330-v111-mkmlizer: Downloaded to shared memory in 50.852s
mistralai-mistral-nemo-9330-v111-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpf_f4osg5, device:0
mistralai-mistral-nemo-9330-v111-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nemo-9330-v111-mkmlizer: quantized model in 35.082s
mistralai-mistral-nemo-9330-v111-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 85.935s
mistralai-mistral-nemo-9330-v111-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v111-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v111-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v111
mistralai-mistral-nemo-9330-v111-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v111/config.json
mistralai-mistral-nemo-9330-v111-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v111/special_tokens_map.json
mistralai-mistral-nemo-9330-v111-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v111/tokenizer_config.json
mistralai-mistral-nemo-9330-v111-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v111/tokenizer.json
mistralai-mistral-nemo-9330-v111-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v111/flywheel_model.0.safetensors
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Job mistralai-mistral-nemo-9330-v111-mkmlizer completed after 114.96s with status: succeeded
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Inference service mistralai-mistral-nemo-9330-v111 ready after 221.9876344203949s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/mistralai-mistral-ne77035c466ae95d79ba4c2b15e5150c6f-deplotgpc5:/code/chaiverse_profiler_1727374651 --namespace tenant-chaiml-guanaco
kubectl exec -it mistralai-mistral-ne77035c466ae95d79ba4c2b15e5150c6f-deplotgpc5 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1727374651 && 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_1727374651/summary.json'
kubectl exec -it mistralai-mistral-ne77035c466ae95d79ba4c2b15e5150c6f-deplotgpc5 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1727374651/summary.json'
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Shutdown handler not registered because Python interpreter is not running in the main thread
admin requested tearing down of mistralai-mistral-nemo_9330_v123
Pipeline stage %s skipped, reason=%s
Pipeline stage %s skipped, reason=%s
Running pipeline stage MKMLDeleter
Shutdown handler de-registered
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Pipeline stage MKMLDeleter completed in 14.17s
Shutdown handler not registered because Python interpreter is not running in the main thread
admin requested tearing down of mistralai-mistral-nemo_9330_v123
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Running pipeline stage MKMLDeleter
Shutdown handler de-registered
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mistralai-mistral-nemo_9330_v111 status is now torndown due to DeploymentManager action
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Pipeline stage MKMLDeleter completed in 18.66s
Shutdown handler not registered because Python interpreter is not running in the main thread
Running pipeline stage MKMLDeleter
Skipping teardown as no inference service was successfully deployed
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Running pipeline stage MKMLDeleter
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Shutdown handler not registered because Python interpreter is not running in the main thread
Running pipeline stage MKMLModelDeleter
admin requested tearing down of mistralai-mistral-nemo_9330_v124
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Shutdown handler de-registered
mistralai-mistral-nemo_9330_v111 status is now torndown due to DeploymentManager action
Pipeline stage MKMLDeleter completed in 19.67s
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Running pipeline stage MKMLDeleter
Running pipeline stage MKMLDeleter
Shutdown handler not registered because Python interpreter is not running in the main thread
Running pipeline stage MKMLModelDeleter
admin requested tearing down of mistralai-mistral-nemo_9330_v121
Shutdown handler de-registered
mistralai-mistral-nemo_9330_v111 status is now torndown due to DeploymentManager action
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admin requested tearing down of mistralai-mistral-nemo_9330_v122