chaiml-mistral-nemo-simp_9350

developer_uid: azuruce

submission_id: chaiml-mistral-nemo-simp_9350_v4

model_name: chaiml-mistral-nemo-simp_9350_v4

model_group: ChaiML/mistral_nemo_simp

status: inactive

timestamp: 2024-12-15T23:19:00+00:00

num_battles: 8180

num_wins: 4177

celo_rating: 1236.48

family_friendly_score: 0.5858

family_friendly_standard_error: 0.006966180589103328

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': 0.6349275728629653, 'latency_mean': 1.5749261355400086, 'latency_p50': 1.576799750328064, 'latency_p90': 1.7325006484985352}, {'batch_size': 3, 'throughput': 1.2762708668494025, 'latency_mean': 2.3503367829322817, 'latency_p50': 2.355353355407715, 'latency_p90': 2.5397394418716432}, {'batch_size': 5, 'throughput': 1.6358039790851917, 'latency_mean': 3.05191606760025, 'latency_p50': 3.005170702934265, 'latency_p90': 3.4438564538955685}, {'batch_size': 6, 'throughput': 1.732282963103135, 'latency_mean': 3.4497072303295138, 'latency_p50': 3.4253783226013184, 'latency_p90': 3.9165331840515134}, {'batch_size': 8, 'throughput': 1.8867525870984383, 'latency_mean': 4.213364752531052, 'latency_p50': 4.2050477266311646, 'latency_p90': 4.661762595176697}, {'batch_size': 10, 'throughput': 1.9774730611866465, 'latency_mean': 5.019435855150223, 'latency_p50': 5.028773307800293, 'latency_p90': 5.640608954429626}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: chaiml-mistral-nemo-simp_9350_v4

is_internal_developer: True

language_model: ChaiML/mistral_nemo_simpo_baseline_albert_20241213_v1-checkpoint-312

model_size: 13B

ranking_group: single

throughput_3p7s: 1.8

us_pacific_date: 2024-12-15

win_ratio: 0.5106356968215159

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-v4-mkmlizer
Waiting for job on chaiml-mistral-nemo-simp-9350-v4-mkmlizer to finish
chaiml-mistral-nemo-simp-9350-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral-nemo-simp-9350-v4-mkmlizer: ║     _____            __           __                                ║
chaiml-mistral-nemo-simp-9350-v4-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chaiml-mistral-nemo-simp-9350-v4-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-mistral-nemo-simp-9350-v4-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-mistral-nemo-simp-9350-v4-mkmlizer: ║       /___/                                                         ║
chaiml-mistral-nemo-simp-9350-v4-mkmlizer: ║                                                                     ║
chaiml-mistral-nemo-simp-9350-v4-mkmlizer: ║  Version: 0.11.12                                                   ║
chaiml-mistral-nemo-simp-9350-v4-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-mistral-nemo-simp-9350-v4-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-mistral-nemo-simp-9350-v4-mkmlizer: ║                                                                     ║
chaiml-mistral-nemo-simp-9350-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-mistral-nemo-simp-9350-v4-mkmlizer: ║  belonging to:                                                      ║
chaiml-mistral-nemo-simp-9350-v4-mkmlizer: ║                                                                     ║
chaiml-mistral-nemo-simp-9350-v4-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-mistral-nemo-simp-9350-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-mistral-nemo-simp-9350-v4-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
chaiml-mistral-nemo-simp-9350-v4-mkmlizer: ║                                                                     ║
chaiml-mistral-nemo-simp-9350-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral-nemo-simp-9350-v4-mkmlizer: Downloaded to shared memory in 32.065s
chaiml-mistral-nemo-simp-9350-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp_5mjvl_w, device:0
chaiml-mistral-nemo-simp-9350-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral-nemo-simp-9350-v4-mkmlizer: quantized model in 36.773s
chaiml-mistral-nemo-simp-9350-v4-mkmlizer: Processed model ChaiML/mistral_nemo_simpo_baseline_albert_20241213_v1-checkpoint-312 in 68.838s
chaiml-mistral-nemo-simp-9350-v4-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-nemo-simp-9350-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-nemo-simp-9350-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-9350-v4
chaiml-mistral-nemo-simp-9350-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-9350-v4/config.json
chaiml-mistral-nemo-simp-9350-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-9350-v4/special_tokens_map.json
chaiml-mistral-nemo-simp-9350-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-9350-v4/tokenizer_config.json
chaiml-mistral-nemo-simp-9350-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-9350-v4/tokenizer.json
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Job chaiml-mistral-nemo-simp-9350-v4-mkmlizer completed after 94.9s with status: succeeded
Stopping job with name chaiml-mistral-nemo-simp-9350-v4-mkmlizer
Pipeline stage MKMLizer completed in 95.41s
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Creating inference service chaiml-mistral-nemo-simp-9350-v4
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Inference service chaiml-mistral-nemo-simp-9350-v4 ready after 220.86891555786133s
Pipeline stage MKMLDeployer completed in 221.40s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.2469027042388916s
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Received healthy response to inference request in 1.6705856323242188s
Received healthy response to inference request in 0.9549233913421631s
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5th percentile: 0.669548749923706
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90th percentile: 1.501112461090088
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mean time: 1.1432373523712158
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