submission_id: rinen0721-mistral12b-exp5_v4
developer_uid: rinen0721
best_of: 8
celo_rating: 1250.66
display_name: rinen0721-mistral12b-exp5_v3
family_friendly_score: 0.565
family_friendly_standard_error: 0.00701106268692557
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-exp5
latencies: [{'batch_size': 1, 'throughput': 0.6109076009820121, 'latency_mean': 1.6368141794204711, 'latency_p50': 1.6404026746749878, 'latency_p90': 1.8151229619979858}, {'batch_size': 3, 'throughput': 1.1045874726503233, 'latency_mean': 2.7113227033615113, 'latency_p50': 2.702895760536194, 'latency_p90': 3.017116165161133}, {'batch_size': 5, 'throughput': 1.3290258588948167, 'latency_mean': 3.7399343383312225, 'latency_p50': 3.705090045928955, 'latency_p90': 4.21000349521637}, {'batch_size': 6, 'throughput': 1.3852875870785546, 'latency_mean': 4.306533731222153, 'latency_p50': 4.316053628921509, 'latency_p90': 4.822027683258057}, {'batch_size': 8, 'throughput': 1.4476547109172926, 'latency_mean': 5.4882617592811584, 'latency_p50': 5.529215455055237, 'latency_p90': 6.218860292434693}, {'batch_size': 10, 'throughput': 1.4892158689964505, 'latency_mean': 6.666360801458358, 'latency_p50': 6.685594081878662, 'latency_p90': 7.5197303771972654}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: rinen0721/Mistral12b-exp
model_name: rinen0721-mistral12b-exp5_v3
model_num_parameters: 12772070400.0
model_repo: rinen0721/Mistral12b-exp5
model_size: 13B
num_battles: 13340
num_wins: 6668
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.33
timestamp: 2024-11-12T13:28:56+00:00
us_pacific_date: 2024-11-12
win_ratio: 0.49985007496251876
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
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Running pipeline stage MKMLizer
Starting job with name rinen0721-mistral12b-exp5-v4-mkmlizer
Waiting for job on rinen0721-mistral12b-exp5-v4-mkmlizer to finish
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rinen0721-mistral12b-exp5-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rinen0721-mistral12b-exp5-v4-mkmlizer: ║ _____ __ __ ║
rinen0721-mistral12b-exp5-v4-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
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rinen0721-mistral12b-exp5-v4-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
rinen0721-mistral12b-exp5-v4-mkmlizer: ║ /___/ ║
rinen0721-mistral12b-exp5-v4-mkmlizer: ║ ║
rinen0721-mistral12b-exp5-v4-mkmlizer: ║ Version: 0.11.33 ║
rinen0721-mistral12b-exp5-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
rinen0721-mistral12b-exp5-v4-mkmlizer: ║ https://mk1.ai ║
rinen0721-mistral12b-exp5-v4-mkmlizer: ║ ║
rinen0721-mistral12b-exp5-v4-mkmlizer: ║ The license key for the current software has been verified as ║
rinen0721-mistral12b-exp5-v4-mkmlizer: ║ belonging to: ║
rinen0721-mistral12b-exp5-v4-mkmlizer: ║ ║
rinen0721-mistral12b-exp5-v4-mkmlizer: ║ Chai Research Corp. ║
rinen0721-mistral12b-exp5-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rinen0721-mistral12b-exp5-v4-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
rinen0721-mistral12b-exp5-v4-mkmlizer: ║ ║
rinen0721-mistral12b-exp5-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rinen0721-mistral12b-exp5-v4-mkmlizer: Downloaded to shared memory in 34.667s
rinen0721-mistral12b-exp5-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpk9ie2rsr, device:0
rinen0721-mistral12b-exp5-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rinen0721-mistral12b-exp5-v4-mkmlizer: quantized model in 36.539s
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rinen0721-mistral12b-exp5-v4-mkmlizer: Processed model rinen0721/Mistral12b-exp5 in 71.206s
rinen0721-mistral12b-exp5-v4-mkmlizer: creating bucket guanaco-mkml-models
rinen0721-mistral12b-exp5-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rinen0721-mistral12b-exp5-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rinen0721-mistral12b-exp5-v4
rinen0721-mistral12b-exp5-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rinen0721-mistral12b-exp5-v4/special_tokens_map.json
rinen0721-mistral12b-exp5-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rinen0721-mistral12b-exp5-v4/config.json
rinen0721-mistral12b-exp5-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rinen0721-mistral12b-exp5-v4/tokenizer_config.json
rinen0721-mistral12b-exp5-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rinen0721-mistral12b-exp5-v4/tokenizer.json
rinen0721-mistral12b-exp5-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rinen0721-mistral12b-exp5-v4/flywheel_model.0.safetensors
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Job rinen0721-mistral12b-exp5-v4-mkmlizer completed after 94.68s with status: succeeded
Stopping job with name rinen0721-mistral12b-exp5-v4-mkmlizer
Pipeline stage MKMLizer completed in 95.28s
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Creating inference service rinen0721-mistral12b-exp5-v4
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Inference service rinen0721-mistral12b-exp5-v4 ready after 190.72765254974365s
Pipeline stage MKMLDeployer completed in 191.37s
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Received healthy response to inference request in 2.3934261798858643s
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Received healthy response to inference request in 1.497253179550171s
Received healthy response to inference request in 1.6426749229431152s
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