chaiml-mistral-nemo-simp_9350

developer_uid: azuruce

submission_id: chaiml-mistral-nemo-simp_9350_v2

model_name: chaiml-mistral-nemo-simp_9350_v2

model_group: ChaiML/mistral_nemo_simp

status: inactive

timestamp: 2024-12-15T23:15:57+00:00

num_battles: 8981

num_wins: 4568

celo_rating: 1234.89

family_friendly_score: 0.5848

family_friendly_standard_error: 0.006968629133480989

submission_type: basic

model_repo: ChaiML/mistral_nemo_simpo_baseline_albert_20241213_v1-checkpoint-312

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 4

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6370669713102435, 'latency_mean': 1.5696226024627686, 'latency_p50': 1.5503901243209839, 'latency_p90': 1.7359869241714478}, {'batch_size': 3, 'throughput': 1.258545809480714, 'latency_mean': 2.3779270601272584, 'latency_p50': 2.3827831745147705, 'latency_p90': 2.6081413507461546}, {'batch_size': 5, 'throughput': 1.5753249460471064, 'latency_mean': 3.1675686645507812, 'latency_p50': 3.1594417095184326, 'latency_p90': 3.5535338878631593}, {'batch_size': 6, 'throughput': 1.682044285609588, 'latency_mean': 3.5356779754161836, 'latency_p50': 3.5599923133850098, 'latency_p90': 4.0017749786376955}, {'batch_size': 8, 'throughput': 1.853802686425504, 'latency_mean': 4.281344305276871, 'latency_p50': 4.323408365249634, 'latency_p90': 4.855786991119385}, {'batch_size': 10, 'throughput': 1.9244819335983798, 'latency_mean': 5.161687940359116, 'latency_p50': 5.174020290374756, 'latency_p90': 5.910480403900147}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: chaiml-mistral-nemo-simp_9350_v2

is_internal_developer: True

language_model: ChaiML/mistral_nemo_simpo_baseline_albert_20241213_v1-checkpoint-312

model_size: 13B

ranking_group: single

throughput_3p7s: 1.74

us_pacific_date: 2024-12-15

win_ratio: 0.5086293285825632

generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 100, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '####', 'Bot:', 'User:', 'You:', '<|im_end|>', '<|eot_id|>'], 'max_input_tokens': 1024, 'best_of': 4, 'max_output_tokens': 64}

formatter: {'memory_template': '', 'prompt_template': '', '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 chaiml-mistral-nemo-simp-9350-v2-mkmlizer
Waiting for job on chaiml-mistral-nemo-simp-9350-v2-mkmlizer to finish
chaiml-mistral-nemo-simp-9350-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral-nemo-simp-9350-v2-mkmlizer: ║     _____            __           __                                ║
chaiml-mistral-nemo-simp-9350-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chaiml-mistral-nemo-simp-9350-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-mistral-nemo-simp-9350-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-mistral-nemo-simp-9350-v2-mkmlizer: ║       /___/                                                         ║
chaiml-mistral-nemo-simp-9350-v2-mkmlizer: ║                                                                     ║
chaiml-mistral-nemo-simp-9350-v2-mkmlizer: ║  Version: 0.11.12                                                   ║
chaiml-mistral-nemo-simp-9350-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-mistral-nemo-simp-9350-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-mistral-nemo-simp-9350-v2-mkmlizer: ║                                                                     ║
chaiml-mistral-nemo-simp-9350-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-mistral-nemo-simp-9350-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-mistral-nemo-simp-9350-v2-mkmlizer: ║                                                                     ║
chaiml-mistral-nemo-simp-9350-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-mistral-nemo-simp-9350-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-mistral-nemo-simp-9350-v2-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
chaiml-mistral-nemo-simp-9350-v2-mkmlizer: ║                                                                     ║
chaiml-mistral-nemo-simp-9350-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral-nemo-simp-9350-v2-mkmlizer: Downloaded to shared memory in 36.598s
chaiml-mistral-nemo-simp-9350-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpe81nauew, device:0
chaiml-mistral-nemo-simp-9350-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral-nemo-simp-9350-v2-mkmlizer: quantized model in 37.884s
chaiml-mistral-nemo-simp-9350-v2-mkmlizer: Processed model ChaiML/mistral_nemo_simpo_baseline_albert_20241213_v1-checkpoint-312 in 74.482s
chaiml-mistral-nemo-simp-9350-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-nemo-simp-9350-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-nemo-simp-9350-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-9350-v2
chaiml-mistral-nemo-simp-9350-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-9350-v2/config.json
chaiml-mistral-nemo-simp-9350-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-9350-v2/special_tokens_map.json
chaiml-mistral-nemo-simp-9350-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-9350-v2/tokenizer_config.json
chaiml-mistral-nemo-simp-9350-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-9350-v2/tokenizer.json
chaiml-mistral-nemo-simp-9350-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-9350-v2/flywheel_model.0.safetensors
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Job chaiml-mistral-nemo-simp-9350-v2-mkmlizer completed after 104.73s with status: succeeded
Stopping job with name chaiml-mistral-nemo-simp-9350-v2-mkmlizer
Pipeline stage MKMLizer completed in 105.26s
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Creating inference service chaiml-mistral-nemo-simp-9350-v2
Waiting for inference service chaiml-mistral-nemo-simp-9350-v2 to be ready
Inference service chaiml-mistral-nemo-simp-9350-v2 ready after 231.20600986480713s
Pipeline stage MKMLDeployer completed in 231.77s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.147566318511963s
Received healthy response to inference request in 0.7046077251434326s
Received healthy response to inference request in 0.8486857414245605s
Received healthy response to inference request in 1.0676772594451904s
Received healthy response to inference request in 1.2851531505584717s
5 requests
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5th percentile: 0.7334233283996582
10th percentile: 0.7622389316558837
20th percentile: 0.819870138168335
30th percentile: 0.8924840450286865
40th percentile: 0.9800806522369385
50th percentile: 1.0676772594451904
60th percentile: 1.0996328830718993
70th percentile: 1.1315885066986084
80th percentile: 1.1750836849212647
90th percentile: 1.230118417739868
95th percentile: 1.2576357841491699
99th percentile: 1.2796496772766113
mean time: 1.0107380390167235
Pipeline stage StressChecker completed in 6.46s
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chaiml-mistral-nemo-simp_9350_v2 status is now inactive due to auto deactivation removed underperforming models