developer_uid: chai_backend_admin
submission_id: chaiml-ezstorytellingedi_9240_v1
model_name: chaiml-ezstorytellingedi_9240_v1
model_group: ChaiML/EZStorytellingEdi
status: inactive
timestamp: 2024-11-26T07:41:11+00:00
num_battles: 17986
num_wins: 8815
celo_rating: 1257.05
family_friendly_score: 0.5658000000000001
family_friendly_standard_error: 0.007009570029609519
submission_type: basic
model_repo: ChaiML/EZStorytellingEditsSFT_Qi6_65convos_reward
model_architecture: MistralForCausalLM
model_num_parameters: 22247282688.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.383179225141617, 'latency_mean': 2.609680829048157, 'latency_p50': 2.626551032066345, 'latency_p90': 2.8714312076568604}, {'batch_size': 3, 'throughput': 0.822660089053463, 'latency_mean': 3.62889994263649, 'latency_p50': 3.618460774421692, 'latency_p90': 4.002182793617249}, {'batch_size': 5, 'throughput': 1.0935140814643254, 'latency_mean': 4.547947319746018, 'latency_p50': 4.5273038148880005, 'latency_p90': 5.213202929496765}, {'batch_size': 6, 'throughput': 1.1686383841420234, 'latency_mean': 5.102668619155883, 'latency_p50': 5.108717679977417, 'latency_p90': 5.732010817527771}, {'batch_size': 10, 'throughput': 1.3845046827980019, 'latency_mean': 7.163698587417603, 'latency_p50': 7.115726828575134, 'latency_p90': 8.1636212348938}]
gpu_counts: {'NVIDIA RTX A6000': 1}
display_name: chaiml-ezstorytellingedi_9240_v1
is_internal_developer: True
language_model: ChaiML/EZStorytellingEditsSFT_Qi6_65convos_reward
model_size: 22B
ranking_group: single
throughput_3p7s: 0.85
us_pacific_date: 2024-11-25
win_ratio: 0.49010341376626265
generation_params: {'temperature': 0.9, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 4, 'max_output_tokens': 64}
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}
Resubmit model
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Running pipeline stage MKMLizer
Starting job with name chaiml-ezstorytellingedi-9240-v1-mkmlizer
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chaiml-ezstorytellingedi-9240-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-ezstorytellingedi-9240-v1-mkmlizer: ║ _____ __ __ ║
chaiml-ezstorytellingedi-9240-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
chaiml-ezstorytellingedi-9240-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
chaiml-ezstorytellingedi-9240-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
chaiml-ezstorytellingedi-9240-v1-mkmlizer: ║ /___/ ║
chaiml-ezstorytellingedi-9240-v1-mkmlizer: ║ ║
chaiml-ezstorytellingedi-9240-v1-mkmlizer: ║ Version: 0.11.12 ║
chaiml-ezstorytellingedi-9240-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-ezstorytellingedi-9240-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-ezstorytellingedi-9240-v1-mkmlizer: ║ ║
chaiml-ezstorytellingedi-9240-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-ezstorytellingedi-9240-v1-mkmlizer: ║ belonging to: ║
chaiml-ezstorytellingedi-9240-v1-mkmlizer: ║ ║
chaiml-ezstorytellingedi-9240-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-ezstorytellingedi-9240-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-ezstorytellingedi-9240-v1-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
chaiml-ezstorytellingedi-9240-v1-mkmlizer: ║ ║
chaiml-ezstorytellingedi-9240-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-ezstorytellingedi-9240-v1-mkmlizer: Downloaded to shared memory in 84.118s
chaiml-ezstorytellingedi-9240-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp_u2kqyy7, device:0
chaiml-ezstorytellingedi-9240-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-ezstorytellingedi-9240-v1-mkmlizer: quantized model in 43.386s
chaiml-ezstorytellingedi-9240-v1-mkmlizer: Processed model ChaiML/EZStorytellingEditsSFT_Qi6_65convos_reward in 127.504s
chaiml-ezstorytellingedi-9240-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-ezstorytellingedi-9240-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-ezstorytellingedi-9240-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-ezstorytellingedi-9240-v1
chaiml-ezstorytellingedi-9240-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-ezstorytellingedi-9240-v1/special_tokens_map.json
chaiml-ezstorytellingedi-9240-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-ezstorytellingedi-9240-v1/config.json
chaiml-ezstorytellingedi-9240-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-ezstorytellingedi-9240-v1/tokenizer_config.json
chaiml-ezstorytellingedi-9240-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-ezstorytellingedi-9240-v1/tokenizer.json
chaiml-ezstorytellingedi-9240-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-ezstorytellingedi-9240-v1/flywheel_model.1.safetensors
chaiml-ezstorytellingedi-9240-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-ezstorytellingedi-9240-v1/flywheel_model.0.safetensors
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Job chaiml-ezstorytellingedi-9240-v1-mkmlizer completed after 155.61s with status: succeeded
Stopping job with name chaiml-ezstorytellingedi-9240-v1-mkmlizer
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Inference service chaiml-ezstorytellingedi-9240-v1 ready after 130.45444011688232s
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Received healthy response to inference request in 2.835273027420044s
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5th percentile: 2.552273178100586
10th percentile: 2.5724807262420653
20th percentile: 2.6128958225250245
30th percentile: 2.660428285598755
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80th percentile: 2.809054803848267
90th percentile: 2.8221639156341554
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99th percentile: 2.833962116241455
mean time: 2.714534044265747
Pipeline stage StressChecker completed in 15.06s
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