submission_id: mistralai-mistral-nemo_9330_v110
developer_uid: immaculate_possum_03470
best_of: 8
celo_rating: 1202.43
display_name: nemo_base
family_friendly_score: 0.606169052488071
family_friendly_standard_error: 0.00900412538162463
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': 0.613861480574449, 'latency_mean': 1.6289638674259186, 'latency_p50': 1.6298857927322388, 'latency_p90': 1.796586036682129}, {'batch_size': 3, 'throughput': 1.0819834787783653, 'latency_mean': 2.764168304204941, 'latency_p50': 2.785930633544922, 'latency_p90': 3.062791585922241}, {'batch_size': 5, 'throughput': 1.236523668568447, 'latency_mean': 4.023487446308136, 'latency_p50': 4.0430580377578735, 'latency_p90': 4.571875143051147}, {'batch_size': 6, 'throughput': 1.2541357503671409, 'latency_mean': 4.761937073469162, 'latency_p50': 4.725156784057617, 'latency_p90': 5.424677133560181}, {'batch_size': 8, 'throughput': 1.2351446794895007, 'latency_mean': 6.437401121854782, 'latency_p50': 6.483970642089844, 'latency_p90': 7.2882325649261475}, {'batch_size': 10, 'throughput': 1.2062140743519707, 'latency_mean': 8.25228643655777, 'latency_p50': 8.281914234161377, 'latency_p90': 9.553902101516723}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: mistralai/Mistral-Nemo-I
model_name: nemo_base
model_num_parameters: 12772070400.0
model_repo: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
num_battles: 2987
num_wins: 1330
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.21
timestamp: 2024-09-26T17:51:36+00:00
us_pacific_date: 2024-09-26
win_ratio: 0.44526280549045866
Resubmit model
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Running pipeline stage MKMLizer
Starting job with name mistralai-mistral-nemo-9330-v110-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v110-mkmlizer to finish
mistralai-mistral-nemo-9330-v110-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v110-mkmlizer: ║ _____ __ __ ║
mistralai-mistral-nemo-9330-v110-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
mistralai-mistral-nemo-9330-v110-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
mistralai-mistral-nemo-9330-v110-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mistral-nemo-9330-v110-mkmlizer: ║ /___/ ║
mistralai-mistral-nemo-9330-v110-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v110-mkmlizer: ║ Version: 0.11.12 ║
mistralai-mistral-nemo-9330-v110-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mistral-nemo-9330-v110-mkmlizer: ║ https://mk1.ai ║
mistralai-mistral-nemo-9330-v110-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v110-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mistral-nemo-9330-v110-mkmlizer: ║ belonging to: ║
mistralai-mistral-nemo-9330-v110-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v110-mkmlizer: ║ Chai Research Corp. ║
mistralai-mistral-nemo-9330-v110-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mistral-nemo-9330-v110-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
mistralai-mistral-nemo-9330-v110-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v110-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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mistralai-mistral-nemo-9330-v110-mkmlizer: Downloaded to shared memory in 67.116s
mistralai-mistral-nemo-9330-v110-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpoxa3fah6, device:0
mistralai-mistral-nemo-9330-v110-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nemo-9330-v110-mkmlizer: quantized model in 35.595s
mistralai-mistral-nemo-9330-v110-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 102.711s
mistralai-mistral-nemo-9330-v110-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v110-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v110-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v110
mistralai-mistral-nemo-9330-v110-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v110/config.json
mistralai-mistral-nemo-9330-v110-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v110/special_tokens_map.json
mistralai-mistral-nemo-9330-v110-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v110/tokenizer_config.json
mistralai-mistral-nemo-9330-v110-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v110/flywheel_model.0.safetensors
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Job mistralai-mistral-nemo-9330-v110-mkmlizer completed after 123.81s with status: succeeded
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Inference service mistralai-mistral-nemo-9330-v110 ready after 220.758709192276s
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Received healthy response to inference request in 1.646737813949585s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/mistralai-mistral-nebdc15dbf5368c4710ab64afb78157f04-deplophwn7:/code/chaiverse_profiler_1727373718 --namespace tenant-chaiml-guanaco
kubectl exec -it mistralai-mistral-nebdc15dbf5368c4710ab64afb78157f04-deplophwn7 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1727373718 && 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_1727373718/summary.json'
kubectl exec -it mistralai-mistral-nebdc15dbf5368c4710ab64afb78157f04-deplophwn7 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1727373718/summary.json'
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Running pipeline stage MKMLDeleter
Pipeline stage MKMLModelDeleter completed in 24.54s
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Cleaning model data from S3
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Running pipeline stage MKMLDeleter
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Cleaning model data from model cache
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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_v123
mistralai-mistral-nemo_9330_v110 status is now torndown due to DeploymentManager action
Cleaning model data from model cache
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