developer_uid: cgato
submission_id: cgato-nemo-12b-humanize_7413_v10
model_name: cgato-nemo-12b-humanize_7413_v10
model_group: cgato/Nemo-12b-Humanize-
status: inactive
timestamp: 2024-12-16T05:35:13+00:00
num_battles: 15352
num_wins: 7742
celo_rating: 1266.52
family_friendly_score: 0.5758
family_friendly_standard_error: 0.006989339882993243
submission_type: basic
model_repo: cgato/Nemo-12b-Humanize-KTO-Experimental-Latest
model_architecture: MistralForCausalLM
model_num_parameters: 12772111360.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6115079182381641, 'latency_mean': 1.6352260208129883, 'latency_p50': 1.633764386177063, 'latency_p90': 1.8109371662139893}, {'batch_size': 3, 'throughput': 1.1285651620446482, 'latency_mean': 2.6501167941093446, 'latency_p50': 2.6413261890411377, 'latency_p90': 2.928368353843689}, {'batch_size': 5, 'throughput': 1.3706009561356483, 'latency_mean': 3.627004235982895, 'latency_p50': 3.6271262168884277, 'latency_p90': 4.137659931182862}, {'batch_size': 6, 'throughput': 1.449118762122426, 'latency_mean': 4.125701757669449, 'latency_p50': 4.118086099624634, 'latency_p90': 4.6094954252243046}, {'batch_size': 8, 'throughput': 1.525133469641318, 'latency_mean': 5.2222143900394435, 'latency_p50': 5.245014548301697, 'latency_p90': 5.894089555740356}, {'batch_size': 10, 'throughput': 1.5509519406348538, 'latency_mean': 6.38945876121521, 'latency_p50': 6.388978600502014, 'latency_p90': 7.213871097564697}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: cgato-nemo-12b-humanize_7413_v10
is_internal_developer: False
language_model: cgato/Nemo-12b-Humanize-KTO-Experimental-Latest
model_size: 13B
ranking_group: single
throughput_3p7s: 1.39
us_pacific_date: 2024-12-15
win_ratio: 0.5042991141219385
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', 'You:', '\n\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-7413-v10-mkmlizer
Waiting for job on cgato-nemo-12b-humanize-7413-v10-mkmlizer to finish
cgato-nemo-12b-humanize-7413-v10-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cgato-nemo-12b-humanize-7413-v10-mkmlizer: ║ ║
cgato-nemo-12b-humanize-7413-v10-mkmlizer: ║ Version: 0.11.12 ║
cgato-nemo-12b-humanize-7413-v10-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-nemo-12b-humanize-7413-v10-mkmlizer: ║ https://mk1.ai ║
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cgato-nemo-12b-humanize-7413-v10-mkmlizer: ║ Chai Research Corp. ║
cgato-nemo-12b-humanize-7413-v10-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-nemo-12b-humanize-7413-v10-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
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cgato-nemo-12b-humanize-7413-v10-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-nemo-12b-humanize-7413-v10-mkmlizer: Downloaded to shared memory in 32.496s
cgato-nemo-12b-humanize-7413-v10-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpsb44mb84, device:0
cgato-nemo-12b-humanize-7413-v10-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-nemo-12b-humanize-7413-v10-mkmlizer: quantized model in 37.162s
cgato-nemo-12b-humanize-7413-v10-mkmlizer: Processed model cgato/Nemo-12b-Humanize-KTO-Experimental-Latest in 69.658s
cgato-nemo-12b-humanize-7413-v10-mkmlizer: creating bucket guanaco-mkml-models
cgato-nemo-12b-humanize-7413-v10-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-nemo-12b-humanize-7413-v10-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v10
cgato-nemo-12b-humanize-7413-v10-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v10/config.json
cgato-nemo-12b-humanize-7413-v10-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v10/special_tokens_map.json
cgato-nemo-12b-humanize-7413-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v10/tokenizer_config.json
cgato-nemo-12b-humanize-7413-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v10/tokenizer.json
cgato-nemo-12b-humanize-7413-v10-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v10/flywheel_model.0.safetensors
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Job cgato-nemo-12b-humanize-7413-v10-mkmlizer completed after 94.58s with status: succeeded
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Failed to get response for submission cgato-nemo-12b-humanize-_7413_v9: ('http://cgato-nemo-12b-humanize-7413-v9-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:37666->127.0.0.1:8080: read: connection reset by peer\n')
Inference service cgato-nemo-12b-humanize-7413-v10 ready after 220.78963685035706s
Pipeline stage MKMLDeployer completed in 221.31s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.5047483444213867s
Received healthy response to inference request in 2.0513927936553955s
Received healthy response to inference request in 1.8489995002746582s
Received healthy response to inference request in 1.9695322513580322s
Received healthy response to inference request in 1.7261788845062256s
5 requests
0 failed requests
5th percentile: 1.7507430076599122
10th percentile: 1.7753071308135986
20th percentile: 1.8244353771209716
30th percentile: 1.873106050491333
40th percentile: 1.9213191509246825
50th percentile: 1.9695322513580322
60th percentile: 2.0022764682769774
70th percentile: 2.035020685195923
80th percentile: 2.142063903808594
90th percentile: 2.32340612411499
95th percentile: 2.414077234268188
99th percentile: 2.486614122390747
mean time: 2.0201703548431396
Pipeline stage StressChecker completed in 11.35s
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