developer_uid: azuruce
submission_id: chaiml-mistral-dpo-eval-_6146_v1
model_name: chaiml-mistral-dpo-eval-_6146_v1
model_group: ChaiML/mistral_dpo_eval_
status: inactive
timestamp: 2024-12-15T06:29:15+00:00
num_battles: 18784
num_wins: 8886
celo_rating: 1243.24
family_friendly_score: 0.581
family_friendly_standard_error: 0.006977664365674233
submission_type: basic
model_repo: ChaiML/mistral_dpo_eval_241212_v1_cp1.py
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.636487569241412, 'latency_mean': 1.571032999753952, 'latency_p50': 1.5629748106002808, 'latency_p90': 1.7190478324890137}, {'batch_size': 3, 'throughput': 1.2570860014803167, 'latency_mean': 2.378597583770752, 'latency_p50': 2.3691747188568115, 'latency_p90': 2.585501718521118}, {'batch_size': 5, 'throughput': 1.5858664906127034, 'latency_mean': 3.141955006122589, 'latency_p50': 3.121571660041809, 'latency_p90': 3.5453044176101685}, {'batch_size': 6, 'throughput': 1.6944324452166755, 'latency_mean': 3.5179363000392914, 'latency_p50': 3.518928050994873, 'latency_p90': 3.9626062154769897}, {'batch_size': 8, 'throughput': 1.8571174316335266, 'latency_mean': 4.269989856481552, 'latency_p50': 4.280682325363159, 'latency_p90': 4.836076807975769}, {'batch_size': 10, 'throughput': 1.9346286944598772, 'latency_mean': 5.126362591981888, 'latency_p50': 5.140911340713501, 'latency_p90': 5.728588676452636}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: chaiml-mistral-dpo-eval-_6146_v1
is_internal_developer: True
language_model: ChaiML/mistral_dpo_eval_241212_v1_cp1.py
model_size: 13B
ranking_group: single
throughput_3p7s: 1.75
us_pacific_date: 2024-12-14
win_ratio: 0.47306218057921634
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-6146-v1-mkmlizer
Waiting for job on chaiml-mistral-dpo-eval-6146-v1-mkmlizer to finish
chaiml-mistral-dpo-eval-6146-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral-dpo-eval-6146-v1-mkmlizer: ║ _____ __ __ ║
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chaiml-mistral-dpo-eval-6146-v1-mkmlizer: ║ /___/ ║
chaiml-mistral-dpo-eval-6146-v1-mkmlizer: ║ ║
chaiml-mistral-dpo-eval-6146-v1-mkmlizer: ║ Version: 0.11.12 ║
chaiml-mistral-dpo-eval-6146-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistral-dpo-eval-6146-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-mistral-dpo-eval-6146-v1-mkmlizer: ║ ║
chaiml-mistral-dpo-eval-6146-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-mistral-dpo-eval-6146-v1-mkmlizer: ║ belonging to: ║
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chaiml-mistral-dpo-eval-6146-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistral-dpo-eval-6146-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral-dpo-eval-6146-v1-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
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chaiml-mistral-dpo-eval-6146-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral-dpo-eval-6146-v1-mkmlizer: Downloaded to shared memory in 46.545s
chaiml-mistral-dpo-eval-6146-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpr_pr443g, device:0
chaiml-mistral-dpo-eval-6146-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral-dpo-eval-6146-v1-mkmlizer: quantized model in 37.341s
chaiml-mistral-dpo-eval-6146-v1-mkmlizer: Processed model ChaiML/mistral_dpo_eval_241212_v1_cp1.py in 83.885s
chaiml-mistral-dpo-eval-6146-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-dpo-eval-6146-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-dpo-eval-6146-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-dpo-eval-6146-v1
chaiml-mistral-dpo-eval-6146-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-dpo-eval-6146-v1/config.json
chaiml-mistral-dpo-eval-6146-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-dpo-eval-6146-v1/special_tokens_map.json
chaiml-mistral-dpo-eval-6146-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-dpo-eval-6146-v1/tokenizer_config.json
chaiml-mistral-dpo-eval-6146-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral-dpo-eval-6146-v1/flywheel_model.0.safetensors
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Job chaiml-mistral-dpo-eval-6146-v1-mkmlizer completed after 105.02s with status: succeeded
Stopping job with name chaiml-mistral-dpo-eval-6146-v1-mkmlizer
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Inference service chaiml-mistral-dpo-eval-6146-v1 ready after 231.38116025924683s
Pipeline stage MKMLDeployer completed in 231.97s
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Received healthy response to inference request in 1.343090295791626s
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5th percentile: 1.0096991539001465
10th percentile: 1.0154250621795655
20th percentile: 1.0268768787384033
30th percentile: 1.0355209827423095
40th percentile: 1.0413573741912843
50th percentile: 1.0471937656402588
60th percentile: 1.1655523777008057
70th percentile: 1.2839109897613525
80th percentile: 1.3903262138366699
90th percentile: 1.484798049926758
95th percentile: 1.5320339679718018
99th percentile: 1.5698227024078368
mean time: 1.201225996017456
Pipeline stage StressChecker completed in 7.42s
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