developer_uid: cloudyu
submission_id: cloudyu-nemo-dpo-v22_v10
model_name: cloudyu-nemo-dpo-v22_v1
model_group: cloudyu/Nemo-DPO-V22
status: inactive
timestamp: 2024-12-19T11:36:06+00:00
num_battles: 13642
num_wins: 7129
celo_rating: 1279.67
family_friendly_score: 0.5598000000000001
family_friendly_standard_error: 0.007020312813543283
submission_type: basic
model_repo: cloudyu/Nemo-DPO-V22
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6164949929720182, 'latency_mean': 1.6220021212100983, 'latency_p50': 1.6112812757492065, 'latency_p90': 1.7867111206054687}, {'batch_size': 3, 'throughput': 1.1381061394906604, 'latency_mean': 2.624893536567688, 'latency_p50': 2.640925168991089, 'latency_p90': 2.900929856300354}, {'batch_size': 5, 'throughput': 1.3883406391781077, 'latency_mean': 3.5817428719997406, 'latency_p50': 3.6218358278274536, 'latency_p90': 4.0226950407028195}, {'batch_size': 6, 'throughput': 1.4642475984436107, 'latency_mean': 4.08678769826889, 'latency_p50': 4.112005114555359, 'latency_p90': 4.555278277397155}, {'batch_size': 8, 'throughput': 1.5315804928676318, 'latency_mean': 5.189047026634216, 'latency_p50': 5.170283079147339, 'latency_p90': 5.915378761291504}, {'batch_size': 10, 'throughput': 1.5742736331448275, 'latency_mean': 6.3010536587238315, 'latency_p50': 6.275789260864258, 'latency_p90': 7.209383535385132}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: cloudyu-nemo-dpo-v22_v1
is_internal_developer: False
language_model: cloudyu/Nemo-DPO-V22
model_size: 13B
ranking_group: single
throughput_3p7s: 1.41
us_pacific_date: 2024-12-19
win_ratio: 0.5225773347016567
generation_params: {'temperature': 1.25, 'top_p': 0.99, 'min_p': 0.01, 'top_k': 80, '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 cloudyu-nemo-dpo-v22-v10-mkmlizer
Waiting for job on cloudyu-nemo-dpo-v22-v10-mkmlizer to finish
cloudyu-nemo-dpo-v22-v10-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cloudyu-nemo-dpo-v22-v10-mkmlizer: ║ _____ __ __ ║
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cloudyu-nemo-dpo-v22-v10-mkmlizer: ║ /___/ ║
cloudyu-nemo-dpo-v22-v10-mkmlizer: ║ ║
cloudyu-nemo-dpo-v22-v10-mkmlizer: ║ Version: 0.11.12 ║
cloudyu-nemo-dpo-v22-v10-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cloudyu-nemo-dpo-v22-v10-mkmlizer: ║ https://mk1.ai ║
cloudyu-nemo-dpo-v22-v10-mkmlizer: ║ ║
cloudyu-nemo-dpo-v22-v10-mkmlizer: ║ The license key for the current software has been verified as ║
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cloudyu-nemo-dpo-v22-v10-mkmlizer: ║ Chai Research Corp. ║
cloudyu-nemo-dpo-v22-v10-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cloudyu-nemo-dpo-v22-v10-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
cloudyu-nemo-dpo-v22-v10-mkmlizer: ║ ║
cloudyu-nemo-dpo-v22-v10-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cloudyu-nemo-dpo-v22-v10-mkmlizer: Downloaded to shared memory in 30.878s
cloudyu-nemo-dpo-v22-v10-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpe8bm995f, device:0
cloudyu-nemo-dpo-v22-v10-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cloudyu-nemo-dpo-v22-v10-mkmlizer: quantized model in 37.004s
cloudyu-nemo-dpo-v22-v10-mkmlizer: Processed model cloudyu/Nemo-DPO-V22 in 67.882s
cloudyu-nemo-dpo-v22-v10-mkmlizer: creating bucket guanaco-mkml-models
cloudyu-nemo-dpo-v22-v10-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cloudyu-nemo-dpo-v22-v10-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cloudyu-nemo-dpo-v22-v10
cloudyu-nemo-dpo-v22-v10-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cloudyu-nemo-dpo-v22-v10/config.json
cloudyu-nemo-dpo-v22-v10-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cloudyu-nemo-dpo-v22-v10/special_tokens_map.json
cloudyu-nemo-dpo-v22-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cloudyu-nemo-dpo-v22-v10/tokenizer_config.json
cloudyu-nemo-dpo-v22-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cloudyu-nemo-dpo-v22-v10/tokenizer.json
cloudyu-nemo-dpo-v22-v10-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cloudyu-nemo-dpo-v22-v10/flywheel_model.0.safetensors
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Job cloudyu-nemo-dpo-v22-v10-mkmlizer completed after 94.49s with status: succeeded
Stopping job with name cloudyu-nemo-dpo-v22-v10-mkmlizer
Pipeline stage MKMLizer completed in 95.00s
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Creating inference service cloudyu-nemo-dpo-v22-v10
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Inference service cloudyu-nemo-dpo-v22-v10 ready after 251.29207754135132s
Pipeline stage MKMLDeployer completed in 251.90s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.6945040225982666s
Received healthy response to inference request in 1.7923479080200195s
Received healthy response to inference request in 1.8877851963043213s
Received healthy response to inference request in 1.7809507846832275s
Received healthy response to inference request in 1.788064956665039s
5 requests
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5th percentile: 1.7823736190795898
10th percentile: 1.783796453475952
20th percentile: 1.7866421222686768
30th percentile: 1.7889215469360351
40th percentile: 1.7906347274780274
50th percentile: 1.7923479080200195
60th percentile: 1.8305228233337403
70th percentile: 1.868697738647461
80th percentile: 2.0491289615631105
90th percentile: 2.3718164920806886
95th percentile: 2.5331602573394774
99th percentile: 2.6622352695465086
mean time: 1.9887305736541747
Pipeline stage StressChecker completed in 11.31s
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Evaluating %s Family Friendly Score with %s threads
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