submission_id: vagosolutions-sauerkraut_8298_v2
developer_uid: cloudyu
best_of: 8
celo_rating: 1241.61
display_name: vagosolutions-sauerkraut_8298_v2
family_friendly_score: 0.5800000000000001
family_friendly_standard_error: 0.006979971346646059
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: VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct
latencies: [{'batch_size': 1, 'throughput': 0.6115726500679061, 'latency_mean': 1.6350695145130159, 'latency_p50': 1.6395643949508667, 'latency_p90': 1.8164146661758422}, {'batch_size': 3, 'throughput': 1.1281154326803837, 'latency_mean': 2.6483253872394563, 'latency_p50': 2.6489899158477783, 'latency_p90': 2.9762987375259398}, {'batch_size': 5, 'throughput': 1.337687120221188, 'latency_mean': 3.7167873322963714, 'latency_p50': 3.734244704246521, 'latency_p90': 4.173629474639893}, {'batch_size': 6, 'throughput': 1.407490342498101, 'latency_mean': 4.23685337305069, 'latency_p50': 4.217978358268738, 'latency_p90': 4.737041592597961}, {'batch_size': 8, 'throughput': 1.4768730399025587, 'latency_mean': 5.397776997089386, 'latency_p50': 5.392677903175354, 'latency_p90': 6.126212310791016}, {'batch_size': 10, 'throughput': 1.5102376573791045, 'latency_mean': 6.574719805717468, 'latency_p50': 6.580499053001404, 'latency_p90': 7.415454292297363}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: VAGOsolutions/Sauerkraut
model_name: vagosolutions-sauerkraut_8298_v2
model_num_parameters: 12772070400.0
model_repo: VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct
model_size: 13B
num_battles: 23682
num_wins: 11355
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.34
timestamp: 2024-11-23T23:13:15+00:00
us_pacific_date: 2024-11-23
win_ratio: 0.4794780846212313
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 vagosolutions-sauerkraut-8298-v2-mkmlizer
Waiting for job on vagosolutions-sauerkraut-8298-v2-mkmlizer to finish
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vagosolutions-sauerkraut-8298-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
vagosolutions-sauerkraut-8298-v2-mkmlizer: ║ _____ __ __ ║
vagosolutions-sauerkraut-8298-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
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vagosolutions-sauerkraut-8298-v2-mkmlizer: ║ /___/ ║
vagosolutions-sauerkraut-8298-v2-mkmlizer: ║ ║
vagosolutions-sauerkraut-8298-v2-mkmlizer: ║ Version: 0.11.12 ║
vagosolutions-sauerkraut-8298-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
vagosolutions-sauerkraut-8298-v2-mkmlizer: ║ https://mk1.ai ║
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vagosolutions-sauerkraut-8298-v2-mkmlizer: ║ Chai Research Corp. ║
vagosolutions-sauerkraut-8298-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
vagosolutions-sauerkraut-8298-v2-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
vagosolutions-sauerkraut-8298-v2-mkmlizer: ║ ║
vagosolutions-sauerkraut-8298-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
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vagosolutions-sauerkraut-8298-v2-mkmlizer: Downloaded to shared memory in 46.802s
vagosolutions-sauerkraut-8298-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpiqg12q0t, device:0
vagosolutions-sauerkraut-8298-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
vagosolutions-sauerkraut-8298-v2-mkmlizer: quantized model in 36.740s
vagosolutions-sauerkraut-8298-v2-mkmlizer: Processed model VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct in 83.542s
vagosolutions-sauerkraut-8298-v2-mkmlizer: creating bucket guanaco-mkml-models
vagosolutions-sauerkraut-8298-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
vagosolutions-sauerkraut-8298-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/vagosolutions-sauerkraut-8298-v2
vagosolutions-sauerkraut-8298-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/vagosolutions-sauerkraut-8298-v2/config.json
vagosolutions-sauerkraut-8298-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/vagosolutions-sauerkraut-8298-v2/special_tokens_map.json
vagosolutions-sauerkraut-8298-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/vagosolutions-sauerkraut-8298-v2/tokenizer_config.json
vagosolutions-sauerkraut-8298-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/vagosolutions-sauerkraut-8298-v2/tokenizer.json
vagosolutions-sauerkraut-8298-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/vagosolutions-sauerkraut-8298-v2/flywheel_model.0.safetensors
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Job vagosolutions-sauerkraut-8298-v2-mkmlizer completed after 104.16s with status: succeeded
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Inference service vagosolutions-sauerkraut-8298-v2 ready after 110.4074637889862s
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