rica40325-filterv2

developer_uid: rica40325

submission_id: rica40325-filterv2_v3

model_name: rica40325-filterv2_v1

model_group: rica40325/filterv2

status: torndown

timestamp: 2025-04-23T03:04:59+00:00

num_battles: 9373

num_wins: 4515

celo_rating: 1272.52

family_friendly_score: 0.61

family_friendly_standard_error: 0.006897825744392214

submission_type: basic

model_repo: rica40325/filterv2

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.60915878236957, 'latency_mean': 1.641536034345627, 'latency_p50': 1.650170087814331, 'latency_p90': 1.8022969484329223}, {'batch_size': 3, 'throughput': 1.1193618537048027, 'latency_mean': 2.670494055747986, 'latency_p50': 2.669100284576416, 'latency_p90': 2.9384716033935545}, {'batch_size': 5, 'throughput': 1.3603378049316206, 'latency_mean': 3.66327317237854, 'latency_p50': 3.6630094051361084, 'latency_p90': 4.101151442527771}, {'batch_size': 6, 'throughput': 1.4315433747484583, 'latency_mean': 4.164961986541748, 'latency_p50': 4.158722758293152, 'latency_p90': 4.74407217502594}, {'batch_size': 8, 'throughput': 1.5063116302314923, 'latency_mean': 5.2742329859733585, 'latency_p50': 5.239127993583679, 'latency_p90': 5.982704472541809}, {'batch_size': 10, 'throughput': 1.5461145399581269, 'latency_mean': 6.426580035686493, 'latency_p50': 6.414723992347717, 'latency_p90': 7.3919731140136715}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: rica40325-filterv2_v1

is_internal_developer: False

language_model: rica40325/filterv2

model_size: 13B

ranking_group: single

throughput_3p7s: 1.37

us_pacific_date: 2025-04-22

win_ratio: 0.4817027632561613

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}

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

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 rica40325-filterv2-v3-mkmlizer
Waiting for job on rica40325-filterv2-v3-mkmlizer to finish
rica40325-filterv2-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rica40325-filterv2-v3-mkmlizer: ║     _____            __           __                                ║
rica40325-filterv2-v3-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
rica40325-filterv2-v3-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
rica40325-filterv2-v3-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
rica40325-filterv2-v3-mkmlizer: ║       /___/                                                         ║
rica40325-filterv2-v3-mkmlizer: ║                                                                     ║
rica40325-filterv2-v3-mkmlizer: ║  Version: 0.12.8                                                    ║
rica40325-filterv2-v3-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
rica40325-filterv2-v3-mkmlizer: ║  https://mk1.ai                                                     ║
rica40325-filterv2-v3-mkmlizer: ║                                                                     ║
rica40325-filterv2-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
rica40325-filterv2-v3-mkmlizer: ║  belonging to:                                                      ║
rica40325-filterv2-v3-mkmlizer: ║                                                                     ║
rica40325-filterv2-v3-mkmlizer: ║  Chai Research Corp.                                                ║
rica40325-filterv2-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
rica40325-filterv2-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
rica40325-filterv2-v3-mkmlizer: ║                                                                     ║
rica40325-filterv2-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rica40325-filterv2-v3-mkmlizer: Downloaded to shared memory in 37.002s
rica40325-filterv2-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpu6io7_me, device:0
rica40325-filterv2-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rica40325-filterv2-v3-mkmlizer: quantized model in 36.710s
rica40325-filterv2-v3-mkmlizer: Processed model rica40325/filterv2 in 73.713s
rica40325-filterv2-v3-mkmlizer: creating bucket guanaco-mkml-models
rica40325-filterv2-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-filterv2-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-filterv2-v3
rica40325-filterv2-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-filterv2-v3/config.json
rica40325-filterv2-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-filterv2-v3/tokenizer.json
rica40325-filterv2-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-filterv2-v3/flywheel_model.0.safetensors
rica40325-filterv2-v3-mkmlizer: 
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Job rica40325-filterv2-v3-mkmlizer completed after 104.06s with status: succeeded
Stopping job with name rica40325-filterv2-v3-mkmlizer
Pipeline stage MKMLizer completed in 104.59s
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Inference service rica40325-filterv2-v3 ready after 130.60686254501343s
Pipeline stage MKMLDeployer completed in 131.15s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.2994720935821533s
Received healthy response to inference request in 1.891256332397461s
Received healthy response to inference request in 1.5424168109893799s
Received healthy response to inference request in 1.850383996963501s
Received healthy response to inference request in 1.6278095245361328s
5 requests
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5th percentile: 1.5594953536987304
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