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: inactive
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: ║ _____ __ __ ║
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: ║ ║
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
Waiting for inference service cgato-nemo-12b-thespice-1853-v4 to be ready
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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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Running pipeline stage StressChecker
Received healthy response to inference request in 2.1193299293518066s
Received healthy response to inference request in 1.7799620628356934s
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
5 requests
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5th percentile: 1.4854712963104248
10th percentile: 1.5076917171478272
20th percentile: 1.5521325588226318
30th percentile: 1.5838127136230469
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90th percentile: 1.9835827827453614
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99th percentile: 2.105755214691162
mean time: 1.7117094993591309
Pipeline stage StressChecker completed in 9.97s
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Evaluating %s Family Friendly Score with %s threads
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