submission_id: mistralai-mistral-nemo_9330_v101
developer_uid: chai_backend_admin
best_of: 4
celo_rating: 1203.26
display_name: mistralai-mistral-nemo_9330_v101
family_friendly_score: 0.0
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': 0.8, 'top_p': 0.8, 'min_p': 0.0, 'top_k': 100, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['</s>'], 'max_input_tokens': 1024, 'best_of': 4, 'max_output_tokens': 128}
gpu_counts: {'NVIDIA RTX A5000': 1}
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: mistralai/Mistral-Nemo-Instruct-2407
latencies: [{'batch_size': 1, 'throughput': 0.35830951167088604, 'latency_mean': 2.790813602209091, 'latency_p50': 2.779158115386963, 'latency_p90': 2.9596907615661623}, {'batch_size': 3, 'throughput': 0.8085006085034477, 'latency_mean': 3.69851380109787, 'latency_p50': 3.702687621116638, 'latency_p90': 3.891402077674866}, {'batch_size': 5, 'throughput': 1.0597646534368859, 'latency_mean': 4.707834759950638, 'latency_p50': 4.705141067504883, 'latency_p90': 5.039975810050964}, {'batch_size': 6, 'throughput': 1.1485013467536622, 'latency_mean': 5.193857493400574, 'latency_p50': 5.196372747421265, 'latency_p90': 5.634696412086487}, {'batch_size': 10, 'throughput': 1.3347000936077555, 'latency_mean': 7.428420157432556, 'latency_p50': 7.492366552352905, 'latency_p90': 7.990451502799988}]
max_input_tokens: 1024
max_output_tokens: 128
model_architecture: MistralForCausalLM
model_group: mistralai/Mistral-Nemo-I
model_name: mistralai-mistral-nemo_9330_v101
model_num_parameters: 12772070400.0
model_repo: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
num_battles: 28142
num_wins: 12574
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 0.81
timestamp: 2024-09-24T02:39:19+00:00
us_pacific_date: 2024-09-23
win_ratio: 0.4468054864615166
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run pipeline %s
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Running pipeline stage MKMLizer
Starting job with name mistralai-mistral-nemo-9330-v101-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v101-mkmlizer to finish
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mistralai-mistral-nemo-9330-v101-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v101-mkmlizer: ║ _____ __ __ ║
mistralai-mistral-nemo-9330-v101-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
mistralai-mistral-nemo-9330-v101-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
mistralai-mistral-nemo-9330-v101-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mistral-nemo-9330-v101-mkmlizer: ║ /___/ ║
mistralai-mistral-nemo-9330-v101-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v101-mkmlizer: ║ Version: 0.10.1 ║
mistralai-mistral-nemo-9330-v101-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mistral-nemo-9330-v101-mkmlizer: ║ https://mk1.ai ║
mistralai-mistral-nemo-9330-v101-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v101-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mistral-nemo-9330-v101-mkmlizer: ║ belonging to: ║
mistralai-mistral-nemo-9330-v101-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v101-mkmlizer: ║ Chai Research Corp. ║
mistralai-mistral-nemo-9330-v101-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mistral-nemo-9330-v101-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
mistralai-mistral-nemo-9330-v101-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v101-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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mistralai-mistral-nemo-9330-v101-mkmlizer: Downloaded to shared memory in 65.382s
mistralai-mistral-nemo-9330-v101-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpbqy7r5m1, device:0
mistralai-mistral-nemo-9330-v101-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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mistralai-mistral-nemo-9330-v101-mkmlizer: quantized model in 35.092s
mistralai-mistral-nemo-9330-v101-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 100.474s
mistralai-mistral-nemo-9330-v101-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v101-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v101
mistralai-mistral-nemo-9330-v101-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v101/config.json
mistralai-mistral-nemo-9330-v101-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v101/special_tokens_map.json
mistralai-mistral-nemo-9330-v101-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v101/tokenizer_config.json
mistralai-mistral-nemo-9330-v101-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v101/tokenizer.json
mistralai-mistral-nemo-9330-v101-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v101/flywheel_model.0.safetensors
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Inference service mistralai-mistral-nemo-9330-v101 ready after 292.86261916160583s
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mean time: 3.543981838226318
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/mistralai-mistral-neff0f0f30f8464983b05806c1ff3d92e4-deplom6qxr:/code/chaiverse_profiler_1727146296 --namespace tenant-chaiml-guanaco
kubectl exec -it mistralai-mistral-neff0f0f30f8464983b05806c1ff3d92e4-deplom6qxr --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1727146296 && python profiles.py profile --best_of_n 4 --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 128 --summary /code/chaiverse_profiler_1727146296/summary.json'
kubectl exec -it mistralai-mistral-neff0f0f30f8464983b05806c1ff3d92e4-deplom6qxr --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1727146296/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1325.69s
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Checking if service mistralai-mistral-nemo-9330-v101-profiler is running
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mistralai-mistral-nemo_9330_v101 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nemo_9330_v101 status is now torndown due to DeploymentManager action