chaiml-mistral-nemo-simp_2030

developer_uid: azuruce

submission_id: chaiml-mistral-nemo-simp_2030_v1

model_name: chaiml-mistral-nemo-simp_2030_v1

model_group: ChaiML/mistral_nemo_simp

status: inactive

timestamp: 2024-12-18T19:56:02+00:00

num_battles: 12837

num_wins: 5917

celo_rating: 1231.15

family_friendly_score: 0.5908

family_friendly_standard_error: 0.006953493510459329

submission_type: basic

model_repo: ChaiML/mistral_nemo_simpo_baseline_albert_20241217_v1-checkpoint-375

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 4

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6380224880648073, 'latency_mean': 1.5672815191745757, 'latency_p50': 1.5682623386383057, 'latency_p90': 1.7148510217666626}, {'batch_size': 3, 'throughput': 1.2619487755433398, 'latency_mean': 2.370829894542694, 'latency_p50': 2.374427080154419, 'latency_p90': 2.6601890563964843}, {'batch_size': 5, 'throughput': 1.6076920765307154, 'latency_mean': 3.095171196460724, 'latency_p50': 3.0967984199523926, 'latency_p90': 3.485117769241333}, {'batch_size': 6, 'throughput': 1.7132860920697779, 'latency_mean': 3.481642378568649, 'latency_p50': 3.4775155782699585, 'latency_p90': 3.9114558935165404}, {'batch_size': 8, 'throughput': 1.861981857362932, 'latency_mean': 4.253554821014404, 'latency_p50': 4.2464200258255005, 'latency_p90': 4.862353849411011}, {'batch_size': 10, 'throughput': 1.9317097034694872, 'latency_mean': 5.141099690198899, 'latency_p50': 5.194389224052429, 'latency_p90': 5.777032947540283}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: chaiml-mistral-nemo-simp_2030_v1

is_internal_developer: True

language_model: ChaiML/mistral_nemo_simpo_baseline_albert_20241217_v1-checkpoint-375

model_size: 13B

ranking_group: single

throughput_3p7s: 1.77

us_pacific_date: 2024-12-18

win_ratio: 0.46093323985354834

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-2030-v1-mkmlizer
Waiting for job on chaiml-mistral-nemo-simp-2030-v1-mkmlizer to finish
chaiml-mistral-nemo-simp-2030-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral-nemo-simp-2030-v1-mkmlizer: ║     _____            __           __                                ║
chaiml-mistral-nemo-simp-2030-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chaiml-mistral-nemo-simp-2030-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-mistral-nemo-simp-2030-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-mistral-nemo-simp-2030-v1-mkmlizer: ║       /___/                                                         ║
chaiml-mistral-nemo-simp-2030-v1-mkmlizer: ║                                                                     ║
chaiml-mistral-nemo-simp-2030-v1-mkmlizer: ║  Version: 0.11.12                                                   ║
chaiml-mistral-nemo-simp-2030-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-mistral-nemo-simp-2030-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-mistral-nemo-simp-2030-v1-mkmlizer: ║                                                                     ║
chaiml-mistral-nemo-simp-2030-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-mistral-nemo-simp-2030-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-mistral-nemo-simp-2030-v1-mkmlizer: ║                                                                     ║
chaiml-mistral-nemo-simp-2030-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-mistral-nemo-simp-2030-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-mistral-nemo-simp-2030-v1-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
chaiml-mistral-nemo-simp-2030-v1-mkmlizer: ║                                                                     ║
chaiml-mistral-nemo-simp-2030-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral-nemo-simp-2030-v1-mkmlizer: Downloaded to shared memory in 47.931s
chaiml-mistral-nemo-simp-2030-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmphgja4jxs, device:0
chaiml-mistral-nemo-simp-2030-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral-nemo-simp-2030-v1-mkmlizer: quantized model in 36.555s
chaiml-mistral-nemo-simp-2030-v1-mkmlizer: Processed model ChaiML/mistral_nemo_simpo_baseline_albert_20241217_v1-checkpoint-375 in 84.486s
chaiml-mistral-nemo-simp-2030-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-nemo-simp-2030-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-nemo-simp-2030-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-2030-v1
chaiml-mistral-nemo-simp-2030-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-2030-v1/config.json
chaiml-mistral-nemo-simp-2030-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-2030-v1/special_tokens_map.json
chaiml-mistral-nemo-simp-2030-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-2030-v1/tokenizer_config.json
chaiml-mistral-nemo-simp-2030-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-2030-v1/tokenizer.json
chaiml-mistral-nemo-simp-2030-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-2030-v1/flywheel_model.0.safetensors
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Job chaiml-mistral-nemo-simp-2030-v1-mkmlizer completed after 115.0s with status: succeeded
Stopping job with name chaiml-mistral-nemo-simp-2030-v1-mkmlizer
Pipeline stage MKMLizer completed in 115.47s
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Creating inference service chaiml-mistral-nemo-simp-2030-v1
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Inference service chaiml-mistral-nemo-simp-2030-v1 ready after 230.81431651115417s
Pipeline stage MKMLDeployer completed in 231.32s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.1937074661254883s
Received healthy response to inference request in 0.7002823352813721s
Received healthy response to inference request in 0.6725153923034668s
Received healthy response to inference request in 0.7075560092926025s
Received healthy response to inference request in 0.9629290103912354s
5 requests
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mean time: 1.047398042678833
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