developer_uid: Hastagaras
submission_id: hastagaras-mn-base-12b-e_9980_v1
model_name: test
model_group: Hastagaras/MN-Base-12B-E
status: inactive
timestamp: 2024-11-30T19:56:56+00:00
num_battles: 21023
num_wins: 9795
celo_rating: 1239.85
family_friendly_score: 0.5780000000000001
family_friendly_standard_error: 0.006984497118619207
submission_type: basic
model_repo: Hastagaras/MN-Base-12B-Experiment-M-23.26.29
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.616769559834507, 'latency_mean': 1.621293966770172, 'latency_p50': 1.6067105531692505, 'latency_p90': 1.7964519023895265}, {'batch_size': 3, 'throughput': 1.136534714515111, 'latency_mean': 2.6346937024593355, 'latency_p50': 2.6269781589508057, 'latency_p90': 2.90532546043396}, {'batch_size': 5, 'throughput': 1.3803997949678932, 'latency_mean': 3.605507663488388, 'latency_p50': 3.6151891946792603, 'latency_p90': 3.9130518198013307}, {'batch_size': 6, 'throughput': 1.4455946070242627, 'latency_mean': 4.129512516260147, 'latency_p50': 4.131919026374817, 'latency_p90': 4.641116404533387}, {'batch_size': 8, 'throughput': 1.512588059719933, 'latency_mean': 5.244967920780182, 'latency_p50': 5.281569480895996, 'latency_p90': 5.9060138463974}, {'batch_size': 10, 'throughput': 1.547951195101015, 'latency_mean': 6.415683497190475, 'latency_p50': 6.387159585952759, 'latency_p90': 7.220854663848877}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: test
is_internal_developer: False
language_model: Hastagaras/MN-Base-12B-Experiment-M-23.26.29
model_size: 13B
ranking_group: single
throughput_3p7s: 1.4
us_pacific_date: 2024-11-30
win_ratio: 0.46591827997907054
generation_params: {'temperature': 0.95, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['</s>', '[SUFFIX]'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "<s>[PREFIX]system[MIDDLE]You're {bot_name}\n{memory}[SUFFIX]\n", 'prompt_template': '[PREFIX]user[MIDDLE]{prompt}[SUFFIX]\n', 'bot_template': '[PREFIX]model[MIDDLE]{bot_name}: {message}[SUFFIX]\n', 'user_template': '[PREFIX]user[MIDDLE]{user_name}: {message}[SUFFIX]\n', 'response_template': '[PREFIX]model[MIDDLE]{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 hastagaras-mn-base-12b-e-9980-v1-mkmlizer
Waiting for job on hastagaras-mn-base-12b-e-9980-v1-mkmlizer to finish
hastagaras-mn-base-12b-e-9980-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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hastagaras-mn-base-12b-e-9980-v1-mkmlizer: ║ Version: 0.11.12 ║
hastagaras-mn-base-12b-e-9980-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
hastagaras-mn-base-12b-e-9980-v1-mkmlizer: ║ https://mk1.ai ║
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hastagaras-mn-base-12b-e-9980-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
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hastagaras-mn-base-12b-e-9980-v1-mkmlizer: Downloaded to shared memory in 49.765s
hastagaras-mn-base-12b-e-9980-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpnhfsmre1, device:0
hastagaras-mn-base-12b-e-9980-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hastagaras-mn-base-12b-e-9980-v1-mkmlizer: quantized model in 35.956s
hastagaras-mn-base-12b-e-9980-v1-mkmlizer: Processed model Hastagaras/MN-Base-12B-Experiment-M-23.26.29 in 85.722s
hastagaras-mn-base-12b-e-9980-v1-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-mn-base-12b-e-9980-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-mn-base-12b-e-9980-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-mn-base-12b-e-9980-v1
hastagaras-mn-base-12b-e-9980-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hastagaras-mn-base-12b-e-9980-v1/config.json
hastagaras-mn-base-12b-e-9980-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hastagaras-mn-base-12b-e-9980-v1/special_tokens_map.json
hastagaras-mn-base-12b-e-9980-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hastagaras-mn-base-12b-e-9980-v1/tokenizer_config.json
hastagaras-mn-base-12b-e-9980-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hastagaras-mn-base-12b-e-9980-v1/tokenizer.json
hastagaras-mn-base-12b-e-9980-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-mn-base-12b-e-9980-v1/flywheel_model.0.safetensors
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Job hastagaras-mn-base-12b-e-9980-v1-mkmlizer completed after 114.36s with status: succeeded
Stopping job with name hastagaras-mn-base-12b-e-9980-v1-mkmlizer
Pipeline stage MKMLizer completed in 114.82s
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Inference service hastagaras-mn-base-12b-e-9980-v1 ready after 170.58858919143677s
Pipeline stage MKMLDeployer completed in 171.06s
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Received healthy response to inference request in 2.163630485534668s
Received healthy response to inference request in 1.9987328052520752s
Received healthy response to inference request in 1.9674556255340576s
Received healthy response to inference request in 1.8248555660247803s
Received healthy response to inference request in 1.7754864692687988s
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5th percentile: 1.785360288619995
10th percentile: 1.7952341079711913
20th percentile: 1.814981746673584
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70th percentile: 1.9924773693084716
80th percentile: 2.0317123413085936
90th percentile: 2.0976714134216308
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99th percentile: 2.157034578323364
mean time: 1.9460321903228759
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