cgato-nemo-12b-humanize-_2028

developer_uid: cgato

submission_id: cgato-nemo-12b-humanize-_2028_v2

model_name: cgato-nemo-12b-humanize-_2028_v2

model_group: cgato/Nemo-12b-Humanize-

status: inactive

timestamp: 2024-12-15T19:05:21+00:00

num_battles: 21532

num_wins: 10871

celo_rating: 1265.36

family_friendly_score: 0.5791999999999999

family_friendly_standard_error: 0.006981795757539746

submission_type: basic

model_repo: cgato/Nemo-12b-Humanize-SFT-v0.1-E2

model_architecture: MistralForCausalLM

model_num_parameters: 12772111360.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6208130341087126, 'latency_mean': 1.6107266223430634, 'latency_p50': 1.618289589881897, 'latency_p90': 1.7968353271484374}, {'batch_size': 3, 'throughput': 1.139876489093372, 'latency_mean': 2.6252002799510956, 'latency_p50': 2.6258028745651245, 'latency_p90': 2.8933731079101563}, {'batch_size': 5, 'throughput': 1.3850637719087093, 'latency_mean': 3.5936634492874147, 'latency_p50': 3.6147795915603638, 'latency_p90': 3.9975651502609253}, {'batch_size': 6, 'throughput': 1.45897908871334, 'latency_mean': 4.0891624712944035, 'latency_p50': 4.1212921142578125, 'latency_p90': 4.556941127777099}, {'batch_size': 8, 'throughput': 1.5271884572335108, 'latency_mean': 5.208189704418182, 'latency_p50': 5.196347594261169, 'latency_p90': 5.929139852523804}, {'batch_size': 10, 'throughput': 1.5758192115735374, 'latency_mean': 6.29306619644165, 'latency_p50': 6.253439545631409, 'latency_p90': 7.20475971698761}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: cgato-nemo-12b-humanize-_2028_v2

is_internal_developer: False

language_model: cgato/Nemo-12b-Humanize-SFT-v0.1-E2

model_size: 13B

ranking_group: single

throughput_3p7s: 1.41

us_pacific_date: 2024-12-15

win_ratio: 0.5048764629388817

generation_params: {'temperature': 0.7, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{bot_name}:', 'truncate_by_message': True}

Resubmit model

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 cgato-nemo-12b-humanize-2028-v2-mkmlizer
Waiting for job on cgato-nemo-12b-humanize-2028-v2-mkmlizer to finish
cgato-nemo-12b-humanize-2028-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-nemo-12b-humanize-2028-v2-mkmlizer: ║     _____            __           __                                ║
cgato-nemo-12b-humanize-2028-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cgato-nemo-12b-humanize-2028-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cgato-nemo-12b-humanize-2028-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cgato-nemo-12b-humanize-2028-v2-mkmlizer: ║       /___/                                                         ║
cgato-nemo-12b-humanize-2028-v2-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-2028-v2-mkmlizer: ║  Version: 0.11.12                                                   ║
cgato-nemo-12b-humanize-2028-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cgato-nemo-12b-humanize-2028-v2-mkmlizer: ║  https://mk1.ai                                                     ║
cgato-nemo-12b-humanize-2028-v2-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-2028-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
cgato-nemo-12b-humanize-2028-v2-mkmlizer: ║  belonging to:                                                      ║
cgato-nemo-12b-humanize-2028-v2-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-2028-v2-mkmlizer: ║  Chai Research Corp.                                                ║
cgato-nemo-12b-humanize-2028-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cgato-nemo-12b-humanize-2028-v2-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
cgato-nemo-12b-humanize-2028-v2-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-2028-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-nemo-12b-humanize-2028-v2-mkmlizer: Downloaded to shared memory in 32.592s
cgato-nemo-12b-humanize-2028-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpody1xs78, device:0
cgato-nemo-12b-humanize-2028-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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cgato-nemo-12b-humanize-2028-v2-mkmlizer: quantized model in 36.698s
cgato-nemo-12b-humanize-2028-v2-mkmlizer: Processed model cgato/Nemo-12b-Humanize-SFT-v0.1-E2 in 69.290s
cgato-nemo-12b-humanize-2028-v2-mkmlizer: creating bucket guanaco-mkml-models
cgato-nemo-12b-humanize-2028-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-nemo-12b-humanize-2028-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-nemo-12b-humanize-2028-v2
cgato-nemo-12b-humanize-2028-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-2028-v2/config.json
cgato-nemo-12b-humanize-2028-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-2028-v2/special_tokens_map.json
cgato-nemo-12b-humanize-2028-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-2028-v2/tokenizer_config.json
cgato-nemo-12b-humanize-2028-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-2028-v2/tokenizer.json
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cgato-nemo-12b-humanize-2028-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-nemo-12b-humanize-2028-v2/flywheel_model.0.safetensors
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Job cgato-nemo-12b-humanize-2028-v2-mkmlizer completed after 95.66s with status: succeeded
Stopping job with name cgato-nemo-12b-humanize-2028-v2-mkmlizer
Pipeline stage MKMLizer completed in 96.23s
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Creating inference service cgato-nemo-12b-humanize-2028-v2
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Failed to get response for submission cgato-nemo-12b-humanize-_7413_v5: ('http://cgato-nemo-12b-humanize-7413-v5-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:39276->127.0.0.1:8080: read: connection reset by peer\n')
Inference service cgato-nemo-12b-humanize-2028-v2 ready after 210.80060005187988s
Pipeline stage MKMLDeployer completed in 211.39s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.1955924034118652s
Received healthy response to inference request in 1.9111683368682861s
Received healthy response to inference request in 1.8888776302337646s
Received healthy response to inference request in 1.592832088470459s
Received healthy response to inference request in 1.6214780807495117s
5 requests
0 failed requests
5th percentile: 1.5985612869262695
10th percentile: 1.60429048538208
20th percentile: 1.6157488822937012
30th percentile: 1.6749579906463623
40th percentile: 1.7819178104400635
50th percentile: 1.8888776302337646
60th percentile: 1.8977939128875732
70th percentile: 1.9067101955413819
80th percentile: 1.968053150177002
90th percentile: 2.0818227767944335
95th percentile: 2.138707590103149
99th percentile: 2.184215440750122
mean time: 1.8419897079467773
Pipeline stage StressChecker completed in 10.78s
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