chaiml-mistral-dpo-eval-_9461

developer_uid: azuruce

submission_id: chaiml-mistral-dpo-eval-_9461_v2

model_name: chaiml-mistral-dpo-eval-_9461_v2

model_group: ChaiML/mistral_dpo_eval_

status: inactive

timestamp: 2024-12-15T21:16:11+00:00

num_battles: 16131

num_wins: 7758

celo_rating: 1249.08

family_friendly_score: 0.5771999999999999

family_friendly_standard_error: 0.0069862745437035325

submission_type: basic

model_repo: ChaiML/mistral_dpo_eval_241212_v1_cp2184

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 4

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6344507813140547, 'latency_mean': 1.5761043345928192, 'latency_p50': 1.5714589357376099, 'latency_p90': 1.7399395942687987}, {'batch_size': 3, 'throughput': 1.2689138757120209, 'latency_mean': 2.353640147447586, 'latency_p50': 2.365009069442749, 'latency_p90': 2.604536747932434}, {'batch_size': 5, 'throughput': 1.6028228732232057, 'latency_mean': 3.1063979721069335, 'latency_p50': 3.1111918687820435, 'latency_p90': 3.5286511421203612}, {'batch_size': 6, 'throughput': 1.713757208109244, 'latency_mean': 3.480460512638092, 'latency_p50': 3.465877056121826, 'latency_p90': 3.9441232919692992}, {'batch_size': 8, 'throughput': 1.876334819114448, 'latency_mean': 4.234400066137314, 'latency_p50': 4.2298606634140015, 'latency_p90': 4.7473719120025635}, {'batch_size': 10, 'throughput': 1.960650676433421, 'latency_mean': 5.057951166629791, 'latency_p50': 5.049811601638794, 'latency_p90': 5.707025551795959}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: chaiml-mistral-dpo-eval-_9461_v2

is_internal_developer: True

language_model: ChaiML/mistral_dpo_eval_241212_v1_cp2184

model_size: 13B

ranking_group: single

throughput_3p7s: 1.78

us_pacific_date: 2024-12-15

win_ratio: 0.4809373256462712

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-dpo-eval-9461-v2-mkmlizer
Waiting for job on chaiml-mistral-dpo-eval-9461-v2-mkmlizer to finish
Failed to get response for submission blend_hopek_2024-11-30: ('http://chaiml-nemo-anthropic-ad-3823-v5-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:35766->127.0.0.1:8080: read: connection reset by peer\n')
chaiml-mistral-dpo-eval-9461-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral-dpo-eval-9461-v2-mkmlizer: ║     _____            __           __                                ║
chaiml-mistral-dpo-eval-9461-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chaiml-mistral-dpo-eval-9461-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-mistral-dpo-eval-9461-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-mistral-dpo-eval-9461-v2-mkmlizer: ║       /___/                                                         ║
chaiml-mistral-dpo-eval-9461-v2-mkmlizer: ║                                                                     ║
chaiml-mistral-dpo-eval-9461-v2-mkmlizer: ║  Version: 0.11.12                                                   ║
chaiml-mistral-dpo-eval-9461-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-mistral-dpo-eval-9461-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-mistral-dpo-eval-9461-v2-mkmlizer: ║                                                                     ║
chaiml-mistral-dpo-eval-9461-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-mistral-dpo-eval-9461-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-mistral-dpo-eval-9461-v2-mkmlizer: ║                                                                     ║
chaiml-mistral-dpo-eval-9461-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-mistral-dpo-eval-9461-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-mistral-dpo-eval-9461-v2-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
chaiml-mistral-dpo-eval-9461-v2-mkmlizer: ║                                                                     ║
chaiml-mistral-dpo-eval-9461-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral-dpo-eval-9461-v2-mkmlizer: Downloaded to shared memory in 32.816s
chaiml-mistral-dpo-eval-9461-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpobubdk3p, device:0
chaiml-mistral-dpo-eval-9461-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral-dpo-eval-9461-v2-mkmlizer: quantized model in 35.826s
chaiml-mistral-dpo-eval-9461-v2-mkmlizer: Processed model ChaiML/mistral_dpo_eval_241212_v1_cp2184 in 68.642s
chaiml-mistral-dpo-eval-9461-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-dpo-eval-9461-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-dpo-eval-9461-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-dpo-eval-9461-v2
chaiml-mistral-dpo-eval-9461-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-dpo-eval-9461-v2/config.json
chaiml-mistral-dpo-eval-9461-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-dpo-eval-9461-v2/special_tokens_map.json
chaiml-mistral-dpo-eval-9461-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-dpo-eval-9461-v2/tokenizer_config.json
chaiml-mistral-dpo-eval-9461-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral-dpo-eval-9461-v2/tokenizer.json
chaiml-mistral-dpo-eval-9461-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral-dpo-eval-9461-v2/flywheel_model.0.safetensors
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Job chaiml-mistral-dpo-eval-9461-v2-mkmlizer completed after 95.57s with status: succeeded
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Inference service chaiml-mistral-dpo-eval-9461-v2 ready after 391.6231381893158s
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