submission_id: cgato-nemo-12b-thespice-_1853_v4
developer_uid: c.gato
best_of: 8
celo_rating: 1269.55
display_name: cgato-nemo-12b-thespice-_1853_v4
family_friendly_score: 0.5562
family_friendly_standard_error: 0.007026258748437891
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}
generation_params: {'temperature': 1.0, 'top_p': 1.0, '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}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: cgato/Nemo-12b-TheSpice-V0.9-All-v2-KTO-v0.3-Small-2k
latencies: [{'batch_size': 1, 'throughput': 0.6059022245549741, 'latency_mean': 1.6503635883331298, 'latency_p50': 1.6507749557495117, 'latency_p90': 1.8195371150970459}, {'batch_size': 3, 'throughput': 1.1084068352683292, 'latency_mean': 2.6957707953453065, 'latency_p50': 2.6850048303604126, 'latency_p90': 2.98984375}, {'batch_size': 5, 'throughput': 1.3499488274034555, 'latency_mean': 3.6794377267360687, 'latency_p50': 3.6385329961776733, 'latency_p90': 4.166310811042786}, {'batch_size': 6, 'throughput': 1.4074438305392065, 'latency_mean': 4.239361933469772, 'latency_p50': 4.259915590286255, 'latency_p90': 4.750258040428162}, {'batch_size': 8, 'throughput': 1.473272475818792, 'latency_mean': 5.3943858349323275, 'latency_p50': 5.437586665153503, 'latency_p90': 6.082479119300842}, {'batch_size': 10, 'throughput': 1.5205268160171468, 'latency_mean': 6.532608070373535, 'latency_p50': 6.597756028175354, 'latency_p90': 7.375734806060791}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: cgato/Nemo-12b-TheSpice-
model_name: cgato-nemo-12b-thespice-_1853_v4
model_num_parameters: 12772121600.0
model_repo: cgato/Nemo-12b-TheSpice-V0.9-All-v2-KTO-v0.3-Small-2k
model_size: 13B
num_battles: 11448
num_wins: 6145
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.36
timestamp: 2024-11-13T03:08:31+00:00
us_pacific_date: 2024-11-12
win_ratio: 0.5367749825296995
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-thespice-1853-v4-mkmlizer
Waiting for job on cgato-nemo-12b-thespice-1853-v4-mkmlizer to finish
cgato-nemo-12b-thespice-1853-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-nemo-12b-thespice-1853-v4-mkmlizer: ║ _____ __ __ ║
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cgato-nemo-12b-thespice-1853-v4-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-nemo-12b-thespice-1853-v4-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-nemo-12b-thespice-1853-v4-mkmlizer: ║ /___/ ║
cgato-nemo-12b-thespice-1853-v4-mkmlizer: ║ ║
cgato-nemo-12b-thespice-1853-v4-mkmlizer: ║ Version: 0.11.33 ║
cgato-nemo-12b-thespice-1853-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-nemo-12b-thespice-1853-v4-mkmlizer: ║ https://mk1.ai ║
cgato-nemo-12b-thespice-1853-v4-mkmlizer: ║ ║
cgato-nemo-12b-thespice-1853-v4-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-nemo-12b-thespice-1853-v4-mkmlizer: ║ belonging to: ║
cgato-nemo-12b-thespice-1853-v4-mkmlizer: ║ ║
cgato-nemo-12b-thespice-1853-v4-mkmlizer: ║ Chai Research Corp. ║
cgato-nemo-12b-thespice-1853-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-nemo-12b-thespice-1853-v4-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
cgato-nemo-12b-thespice-1853-v4-mkmlizer: ║ ║
cgato-nemo-12b-thespice-1853-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-nemo-12b-thespice-1853-v4-mkmlizer: Downloaded to shared memory in 47.360s
cgato-nemo-12b-thespice-1853-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpa_pj8bfo, device:0
cgato-nemo-12b-thespice-1853-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-nemo-12b-thespice-1853-v4-mkmlizer: quantized model in 36.751s
cgato-nemo-12b-thespice-1853-v4-mkmlizer: Processed model cgato/Nemo-12b-TheSpice-V0.9-All-v2-KTO-v0.3-Small-2k in 84.111s
cgato-nemo-12b-thespice-1853-v4-mkmlizer: creating bucket guanaco-mkml-models
cgato-nemo-12b-thespice-1853-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-nemo-12b-thespice-1853-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-nemo-12b-thespice-1853-v4
cgato-nemo-12b-thespice-1853-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-nemo-12b-thespice-1853-v4/config.json
cgato-nemo-12b-thespice-1853-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-nemo-12b-thespice-1853-v4/special_tokens_map.json
cgato-nemo-12b-thespice-1853-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-nemo-12b-thespice-1853-v4/tokenizer_config.json
cgato-nemo-12b-thespice-1853-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-nemo-12b-thespice-1853-v4/tokenizer.json
cgato-nemo-12b-thespice-1853-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-nemo-12b-thespice-1853-v4/flywheel_model.0.safetensors
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Job cgato-nemo-12b-thespice-1853-v4-mkmlizer completed after 114.11s with status: succeeded
Stopping job with name cgato-nemo-12b-thespice-1853-v4-mkmlizer
Pipeline stage MKMLizer completed in 114.64s
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Creating inference service cgato-nemo-12b-thespice-1853-v4
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Inference service cgato-nemo-12b-thespice-1853-v4 ready after 190.72725629806519s
Pipeline stage MKMLDeployer completed in 191.28s
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Received healthy response to inference request in 2.1193299293518066s
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Received healthy response to inference request in 1.5743529796600342s
Received healthy response to inference request in 1.4632508754730225s
Received healthy response to inference request in 1.6216516494750977s
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5th percentile: 1.4854712963104248
10th percentile: 1.5076917171478272
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30th percentile: 1.5838127136230469
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99th percentile: 2.105755214691162
mean time: 1.7117094993591309
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