submission_id: cgato-nemo-12b-thespice-_8475_v1
developer_uid: c.gato
best_of: 8
celo_rating: 1258.45
display_name: cgato-nemo-12b-thespice-_8475_v1
family_friendly_score: 0.571
family_friendly_standard_error: 0.006999414261207862
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-Split-E2
latencies: [{'batch_size': 1, 'throughput': 0.6218497693458913, 'latency_mean': 1.6080438792705536, 'latency_p50': 1.6112874746322632, 'latency_p90': 1.774932861328125}, {'batch_size': 3, 'throughput': 1.1470314251743707, 'latency_mean': 2.6077330791950226, 'latency_p50': 2.6200848817825317, 'latency_p90': 2.8605273723602296}, {'batch_size': 5, 'throughput': 1.4127161860116033, 'latency_mean': 3.5315582656860354, 'latency_p50': 3.534913420677185, 'latency_p90': 3.9532878637313837}, {'batch_size': 6, 'throughput': 1.4784987463607715, 'latency_mean': 4.04040776848793, 'latency_p50': 4.026710629463196, 'latency_p90': 4.534462904930114}, {'batch_size': 8, 'throughput': 1.5506900682531093, 'latency_mean': 5.114415827989578, 'latency_p50': 5.12845766544342, 'latency_p90': 5.808248138427734}, {'batch_size': 10, 'throughput': 1.6002394095970345, 'latency_mean': 6.18841781616211, 'latency_p50': 6.138861179351807, 'latency_p90': 7.080701231956482}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: cgato/Nemo-12b-TheSpice-
model_name: cgato-nemo-12b-thespice-_8475_v1
model_num_parameters: 12772121600.0
model_repo: cgato/Nemo-12b-TheSpice-V0.9-All-v2-KTO-Split-E2
model_size: 13B
num_battles: 10181
num_wins: 5155
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.44
timestamp: 2024-11-18T18:13:18+00:00
us_pacific_date: 2024-11-18
win_ratio: 0.5063353305176309
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-8475-v1-mkmlizer
Waiting for job on cgato-nemo-12b-thespice-8475-v1-mkmlizer to finish
cgato-nemo-12b-thespice-8475-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-nemo-12b-thespice-8475-v1-mkmlizer: ║ _____ __ __ ║
cgato-nemo-12b-thespice-8475-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-nemo-12b-thespice-8475-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-nemo-12b-thespice-8475-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-nemo-12b-thespice-8475-v1-mkmlizer: ║ /___/ ║
cgato-nemo-12b-thespice-8475-v1-mkmlizer: ║ ║
cgato-nemo-12b-thespice-8475-v1-mkmlizer: ║ Version: 0.11.12 ║
cgato-nemo-12b-thespice-8475-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-nemo-12b-thespice-8475-v1-mkmlizer: ║ https://mk1.ai ║
cgato-nemo-12b-thespice-8475-v1-mkmlizer: ║ ║
cgato-nemo-12b-thespice-8475-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-nemo-12b-thespice-8475-v1-mkmlizer: ║ belonging to: ║
cgato-nemo-12b-thespice-8475-v1-mkmlizer: ║ ║
cgato-nemo-12b-thespice-8475-v1-mkmlizer: ║ Chai Research Corp. ║
cgato-nemo-12b-thespice-8475-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-nemo-12b-thespice-8475-v1-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
cgato-nemo-12b-thespice-8475-v1-mkmlizer: ║ ║
cgato-nemo-12b-thespice-8475-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
cgato-nemo-12b-thespice-8475-v1-mkmlizer: Downloaded to shared memory in 72.518s
cgato-nemo-12b-thespice-8475-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpktms0ktb, device:0
cgato-nemo-12b-thespice-8475-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-nemo-12b-thespice-8475-v1-mkmlizer: quantized model in 36.390s
cgato-nemo-12b-thespice-8475-v1-mkmlizer: Processed model cgato/Nemo-12b-TheSpice-V0.9-All-v2-KTO-Split-E2 in 108.908s
cgato-nemo-12b-thespice-8475-v1-mkmlizer: creating bucket guanaco-mkml-models
cgato-nemo-12b-thespice-8475-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-nemo-12b-thespice-8475-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-nemo-12b-thespice-8475-v1
cgato-nemo-12b-thespice-8475-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-nemo-12b-thespice-8475-v1/config.json
cgato-nemo-12b-thespice-8475-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-nemo-12b-thespice-8475-v1/special_tokens_map.json
cgato-nemo-12b-thespice-8475-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-nemo-12b-thespice-8475-v1/tokenizer_config.json
cgato-nemo-12b-thespice-8475-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-nemo-12b-thespice-8475-v1/tokenizer.json
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Job cgato-nemo-12b-thespice-8475-v1-mkmlizer completed after 136.39s with status: succeeded
Stopping job with name cgato-nemo-12b-thespice-8475-v1-mkmlizer
Pipeline stage MKMLizer completed in 137.07s
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Failed to get response for submission jic062-dpo-v3-0-nemo_v1: ('http://jic062-dpo-v3-0-nemo-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Inference service cgato-nemo-12b-thespice-8475-v1 ready after 211.14588284492493s
Pipeline stage MKMLDeployer completed in 211.77s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.353334903717041s
Received healthy response to inference request in 1.6996545791625977s
Received healthy response to inference request in 2.523613452911377s
Received healthy response to inference request in 1.7868008613586426s
Received healthy response to inference request in 1.6659331321716309s
5 requests
0 failed requests
5th percentile: 1.6726774215698241
10th percentile: 1.6794217109680176
20th percentile: 1.6929102897644044
30th percentile: 1.7170838356018066
40th percentile: 1.7519423484802246
50th percentile: 1.7868008613586426
60th percentile: 2.013414478302002
70th percentile: 2.240028095245361
80th percentile: 2.387390613555908
90th percentile: 2.4555020332336426
95th percentile: 2.4895577430725098
99th percentile: 2.5168023109436035
mean time: 2.0058673858642577
Pipeline stage StressChecker completed in 11.53s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 3.37s
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Pipeline stage MKMLProfilerTemplater completed in 0.14s
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Creating inference service cgato-nemo-12b-thespice-8475-v1-profiler
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Pipeline stage OfflineFamilyFriendlyScorer completed in 2587.37s
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cgato-nemo-12b-thespice-_8475_v1 status is now inactive due to auto deactivation removed underperforming models