submission_id: cycy233-nemo-p-v2-c4_v1
developer_uid: shiroe40
best_of: 8
celo_rating: 1242.61
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': 512, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: cycy233/nemo-p-v2-c4
latencies: [{'batch_size': 1, 'throughput': 0.6963484401215456, 'latency_mean': 1.4360005056858063, 'latency_p50': 1.438572883605957, 'latency_p90': 1.5981045961380005}, {'batch_size': 3, 'throughput': 1.3387734047067654, 'latency_mean': 2.2328175950050353, 'latency_p50': 2.2119230031967163, 'latency_p90': 2.5063180208206175}, {'batch_size': 5, 'throughput': 1.5808286176872057, 'latency_mean': 3.1405912268161775, 'latency_p50': 3.136347770690918, 'latency_p90': 3.598155069351196}, {'batch_size': 6, 'throughput': 1.6208971536423114, 'latency_mean': 3.6818117117881775, 'latency_p50': 3.7038419246673584, 'latency_p90': 4.118337225914001}, {'batch_size': 8, 'throughput': 1.632216148283133, 'latency_mean': 4.878930468559265, 'latency_p50': 4.921693801879883, 'latency_p90': 5.611328291893005}, {'batch_size': 10, 'throughput': 1.5577498387247826, 'latency_mean': 6.3678972780704495, 'latency_p50': 6.404324173927307, 'latency_p90': 7.2225262165069575}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: cycy233/nemo-p-v2-c4
model_name: auto
model_num_parameters: 12772070400.0
model_repo: cycy233/nemo-p-v2-c4
model_size: 13B
num_battles: 10930
num_wins: 5327
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.63
timestamp: 2024-09-18T02:37:59+00:00
us_pacific_date: 2024-09-17
win_ratio: 0.48737419945105215
Resubmit model
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Running pipeline stage MKMLizer
Starting job with name cycy233-nemo-p-v2-c4-v1-mkmlizer
Waiting for job on cycy233-nemo-p-v2-c4-v1-mkmlizer to finish
cycy233-nemo-p-v2-c4-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║ _____ __ __ ║
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cycy233-nemo-p-v2-c4-v1-mkmlizer: ║ ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║ Version: 0.10.1 ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║ https://mk1.ai ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║ ║
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cycy233-nemo-p-v2-c4-v1-mkmlizer: ║ belonging to: ║
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cycy233-nemo-p-v2-c4-v1-mkmlizer: ║ Chai Research Corp. ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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cycy233-nemo-p-v2-c4-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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cycy233-nemo-p-v2-c4-v1-mkmlizer: Downloaded to shared memory in 45.471s
cycy233-nemo-p-v2-c4-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmptmds2mzy, device:0
cycy233-nemo-p-v2-c4-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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cycy233-nemo-p-v2-c4-v1-mkmlizer: quantized model in 35.034s
cycy233-nemo-p-v2-c4-v1-mkmlizer: Processed model cycy233/nemo-p-v2-c4 in 80.506s
cycy233-nemo-p-v2-c4-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-nemo-p-v2-c4-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-nemo-p-v2-c4-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-nemo-p-v2-c4-v1
cycy233-nemo-p-v2-c4-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-nemo-p-v2-c4-v1/config.json
cycy233-nemo-p-v2-c4-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-nemo-p-v2-c4-v1/special_tokens_map.json
cycy233-nemo-p-v2-c4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-nemo-p-v2-c4-v1/tokenizer_config.json
cycy233-nemo-p-v2-c4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-nemo-p-v2-c4-v1/tokenizer.json
cycy233-nemo-p-v2-c4-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-nemo-p-v2-c4-v1/flywheel_model.0.safetensors
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Job cycy233-nemo-p-v2-c4-v1-mkmlizer completed after 117.15s with status: succeeded
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Failed to get response for submission blend_hokok_2024-09-09: ('http://neversleep-noromaid-v0-8068-v150-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Failed to get response for submission blend_hokok_2024-09-09: ('http://neversleep-noromaid-v0-8068-v150-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Inference service cycy233-nemo-p-v2-c4-v1 ready after 190.87677192687988s
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Received healthy response to inference request in 2.2723281383514404s
Received healthy response to inference request in 2.138577938079834s
Received healthy response to inference request in 1.7740201950073242s
Received healthy response to inference request in 1.7054202556610107s
Received healthy response to inference request in 1.8484582901000977s
5 requests
0 failed requests
5th percentile: 1.7191402435302734
10th percentile: 1.732860231399536
20th percentile: 1.7603002071380616
30th percentile: 1.788907814025879
40th percentile: 1.8186830520629882
50th percentile: 1.8484582901000977
60th percentile: 1.9645061492919922
70th percentile: 2.0805540084838867
80th percentile: 2.1653279781341555
90th percentile: 2.218828058242798
95th percentile: 2.245578098297119
99th percentile: 2.266978130340576
mean time: 1.9477609634399413
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-nemo-p-v2-c4-v1-profiler-predictor-00001-deploymenmmddq:/code/chaiverse_profiler_1726627638 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-nemo-p-v2-c4-v1-profiler-predictor-00001-deploymenmmddq --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726627638 && 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 512 --output_tokens 64 --summary /code/chaiverse_profiler_1726627638/summary.json'
kubectl exec -it cycy233-nemo-p-v2-c4-v1-profiler-predictor-00001-deploymenmmddq --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726627638/summary.json'
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