submission_id: cycy233-nemo-p-e-v0-c4_v1
developer_uid: shiroe40
best_of: 8
celo_rating: 1285.78
display_name: auto
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': 1.0, 'top_p': 0.9, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: cycy233/nemo-p-e-v0-c4
latencies: [{'batch_size': 1, 'throughput': 0.6244206927585841, 'latency_mean': 1.6014129137992859, 'latency_p50': 1.6011871099472046, 'latency_p90': 1.774201512336731}, {'batch_size': 3, 'throughput': 1.0933828311541542, 'latency_mean': 2.7352037596702576, 'latency_p50': 2.7363513708114624, 'latency_p90': 3.004215407371521}, {'batch_size': 5, 'throughput': 1.2590750907084118, 'latency_mean': 3.9591854500770567, 'latency_p50': 3.952512264251709, 'latency_p90': 4.57321879863739}, {'batch_size': 6, 'throughput': 1.2719636897002489, 'latency_mean': 4.696801069974899, 'latency_p50': 4.684552431106567, 'latency_p90': 5.355732274055481}, {'batch_size': 8, 'throughput': 1.254359062180596, 'latency_mean': 6.342828648090363, 'latency_p50': 6.353716969490051, 'latency_p90': 7.156624364852905}, {'batch_size': 10, 'throughput': 1.2105448087316855, 'latency_mean': 8.216114284992218, 'latency_p50': 8.239762783050537, 'latency_p90': 9.240120601654052}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: cycy233/nemo-p-e-v0-c4
model_name: auto
model_num_parameters: 12772070400.0
model_repo: cycy233/nemo-p-e-v0-c4
model_size: 13B
num_battles: 13049
num_wins: 7118
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.24
timestamp: 2024-09-20T03:30:48+00:00
us_pacific_date: 2024-09-19
win_ratio: 0.5454824124453981
Download Preference Data
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Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name cycy233-nemo-p-e-v0-c4-v1-mkmlizer
Waiting for job on cycy233-nemo-p-e-v0-c4-v1-mkmlizer to finish
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: ║ _____ __ __ ║
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cycy233-nemo-p-e-v0-c4-v1-mkmlizer: ║ ║
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: ║ Version: 0.10.1 ║
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: ║ https://mk1.ai ║
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: ║ ║
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cycy233-nemo-p-e-v0-c4-v1-mkmlizer: ║ Chai Research Corp. ║
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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cycy233-nemo-p-e-v0-c4-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: Downloaded to shared memory in 59.664s
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmptaqsekdy, device:0
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: quantized model in 34.942s
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: Processed model cycy233/nemo-p-e-v0-c4 in 94.606s
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-nemo-p-e-v0-c4-v1
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v0-c4-v1/config.json
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v0-c4-v1/special_tokens_map.json
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v0-c4-v1/tokenizer_config.json
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v0-c4-v1/tokenizer.json
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-nemo-p-e-v0-c4-v1/flywheel_model.0.safetensors
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Job cycy233-nemo-p-e-v0-c4-v1-mkmlizer completed after 123.45s with status: succeeded
Stopping job with name cycy233-nemo-p-e-v0-c4-v1-mkmlizer
Pipeline stage MKMLizer completed in 124.46s
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Creating inference service cycy233-nemo-p-e-v0-c4-v1
Waiting for inference service cycy233-nemo-p-e-v0-c4-v1 to be ready
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Inference service cycy233-nemo-p-e-v0-c4-v1 ready after 201.48800468444824s
Pipeline stage MKMLDeployer completed in 201.91s
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Received healthy response to inference request in 2.6189658641815186s
Received healthy response to inference request in 1.862539529800415s
Received healthy response to inference request in 2.2124733924865723s
Received healthy response to inference request in 1.8367414474487305s
Received healthy response to inference request in 2.023289680480957s
5 requests
0 failed requests
5th percentile: 1.8419010639190674
10th percentile: 1.8470606803894043
20th percentile: 1.8573799133300781
30th percentile: 1.8946895599365234
40th percentile: 1.9589896202087402
50th percentile: 2.023289680480957
60th percentile: 2.098963165283203
70th percentile: 2.174636650085449
80th percentile: 2.2937718868255614
90th percentile: 2.45636887550354
95th percentile: 2.5376673698425294
99th percentile: 2.602706165313721
mean time: 2.1108019828796385
Pipeline stage StressChecker completed in 11.91s
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Inference service cycy233-nemo-p-e-v0-c4-v1-profiler ready after 200.43698811531067s
Pipeline stage MKMLProfilerDeployer completed in 200.80s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-nemo-p-e-v0-c4-v1-profiler-predictor-00001-deploymhph5v:/code/chaiverse_profiler_1726803641 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-nemo-p-e-v0-c4-v1-profiler-predictor-00001-deploymhph5v --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726803641 && 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_1726803641/summary.json'
kubectl exec -it cycy233-nemo-p-e-v0-c4-v1-profiler-predictor-00001-deploymhph5v --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726803641/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1149.00s
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Checking if service cycy233-nemo-p-e-v0-c4-v1-profiler is running
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Pipeline stage MKMLProfilerDeleter completed in 3.13s
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cycy233-nemo-p-e-v0-c4_v1 status is now inactive due to auto deactivation removed underperforming models
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admin requested tearing down of cycy233-nemo-p-v1-c3_v2
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