submission_id: rinen0721-mistral12b-1123_v2
developer_uid: rinen0721
best_of: 8
celo_rating: 1238.04
display_name: rinen0721-mistral12b-1123_v1
family_friendly_score: 0.5774
family_friendly_standard_error: 0.006985831947592212
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
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: rinen0721/Mistral12b-1123
latencies: [{'batch_size': 1, 'throughput': 0.6225344117003954, 'latency_mean': 1.6062698864936829, 'latency_p50': 1.5921322107315063, 'latency_p90': 1.7922805547714233}, {'batch_size': 3, 'throughput': 1.1344387154107296, 'latency_mean': 2.635555648803711, 'latency_p50': 2.6565637588500977, 'latency_p90': 2.8855142831802367}, {'batch_size': 5, 'throughput': 1.3811587282715625, 'latency_mean': 3.6043428492546083, 'latency_p50': 3.5927709341049194, 'latency_p90': 4.003202652931213}, {'batch_size': 6, 'throughput': 1.4397279326995405, 'latency_mean': 4.1352900993824, 'latency_p50': 4.159117102622986, 'latency_p90': 4.614934206008911}, {'batch_size': 8, 'throughput': 1.5212261228263741, 'latency_mean': 5.213002318143845, 'latency_p50': 5.207406520843506, 'latency_p90': 5.8891700267791744}, {'batch_size': 10, 'throughput': 1.555271985164374, 'latency_mean': 6.387212252616882, 'latency_p50': 6.372096300125122, 'latency_p90': 7.1629047870635985}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: rinen0721/Mistral12b-112
model_name: rinen0721-mistral12b-1123_v1
model_num_parameters: 12772070400.0
model_repo: rinen0721/Mistral12b-1123
model_size: 13B
num_battles: 20464
num_wins: 9445
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.4
timestamp: 2024-11-28T07:54:44+00:00
us_pacific_date: 2024-11-27
win_ratio: 0.46154222048475374
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 rinen0721-mistral12b-1123-v2-mkmlizer
Waiting for job on rinen0721-mistral12b-1123-v2-mkmlizer to finish
rinen0721-mistral12b-1123-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rinen0721-mistral12b-1123-v2-mkmlizer: ║ _____ __ __ ║
rinen0721-mistral12b-1123-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
rinen0721-mistral12b-1123-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
rinen0721-mistral12b-1123-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
rinen0721-mistral12b-1123-v2-mkmlizer: ║ /___/ ║
rinen0721-mistral12b-1123-v2-mkmlizer: ║ ║
rinen0721-mistral12b-1123-v2-mkmlizer: ║ Version: 0.11.12 ║
rinen0721-mistral12b-1123-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
rinen0721-mistral12b-1123-v2-mkmlizer: ║ https://mk1.ai ║
rinen0721-mistral12b-1123-v2-mkmlizer: ║ ║
rinen0721-mistral12b-1123-v2-mkmlizer: ║ The license key for the current software has been verified as ║
rinen0721-mistral12b-1123-v2-mkmlizer: ║ belonging to: ║
rinen0721-mistral12b-1123-v2-mkmlizer: ║ ║
rinen0721-mistral12b-1123-v2-mkmlizer: ║ Chai Research Corp. ║
rinen0721-mistral12b-1123-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rinen0721-mistral12b-1123-v2-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
rinen0721-mistral12b-1123-v2-mkmlizer: ║ ║
rinen0721-mistral12b-1123-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rinen0721-mistral12b-1123-v2-mkmlizer: Downloaded to shared memory in 49.989s
rinen0721-mistral12b-1123-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpzp36ds94, device:0
rinen0721-mistral12b-1123-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rinen0721-mistral12b-1123-v2-mkmlizer: quantized model in 36.598s
rinen0721-mistral12b-1123-v2-mkmlizer: Processed model rinen0721/Mistral12b-1123 in 86.587s
rinen0721-mistral12b-1123-v2-mkmlizer: creating bucket guanaco-mkml-models
rinen0721-mistral12b-1123-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rinen0721-mistral12b-1123-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rinen0721-mistral12b-1123-v2
rinen0721-mistral12b-1123-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rinen0721-mistral12b-1123-v2/config.json
rinen0721-mistral12b-1123-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rinen0721-mistral12b-1123-v2/special_tokens_map.json
rinen0721-mistral12b-1123-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rinen0721-mistral12b-1123-v2/tokenizer_config.json
rinen0721-mistral12b-1123-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rinen0721-mistral12b-1123-v2/tokenizer.json
rinen0721-mistral12b-1123-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rinen0721-mistral12b-1123-v2/flywheel_model.0.safetensors
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Job rinen0721-mistral12b-1123-v2-mkmlizer completed after 114.82s with status: succeeded
Stopping job with name rinen0721-mistral12b-1123-v2-mkmlizer
Pipeline stage MKMLizer completed in 115.32s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
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Creating inference service rinen0721-mistral12b-1123-v2
Waiting for inference service rinen0721-mistral12b-1123-v2 to be ready
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Inference service rinen0721-mistral12b-1123-v2 ready after 130.70327973365784s
Pipeline stage MKMLDeployer completed in 131.24s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.2624881267547607s
Received healthy response to inference request in 1.846839427947998s
Received healthy response to inference request in 1.8387253284454346s
Received healthy response to inference request in 1.6322646141052246s
Received healthy response to inference request in 1.7825238704681396s
5 requests
0 failed requests
5th percentile: 1.6623164653778075
10th percentile: 1.6923683166503907
20th percentile: 1.7524720191955567
30th percentile: 1.7937641620635987
40th percentile: 1.8162447452545165
50th percentile: 1.8387253284454346
60th percentile: 1.84197096824646
70th percentile: 1.8452166080474854
80th percentile: 1.9299691677093507
90th percentile: 2.0962286472320555
95th percentile: 2.179358386993408
99th percentile: 2.2458621788024904
mean time: 1.8725682735443114
Pipeline stage StressChecker completed in 10.81s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 2.30s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3312.85s
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