developer_uid: azuruce
submission_id: chaiml-mistral-nemo-dpo-_7200_v2
model_name: chaiml-mistral-nemo-dpo-_7200_v2
model_group: ChaiML/mistral_nemo_dpo_
status: inactive
timestamp: 2024-12-20T17:02:42+00:00
num_battles: 12996
num_wins: 6003
celo_rating: 1229.77
family_friendly_score: 0.5956
family_friendly_standard_error: 0.006940614382026997
submission_type: basic
model_repo: ChaiML/mistral_nemo_dpo_round2_albert_20241220_v1-checkpoint-138
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6369378210291667, 'latency_mean': 1.5699203538894653, 'latency_p50': 1.5676950216293335, 'latency_p90': 1.7206874370574952}, {'batch_size': 3, 'throughput': 1.269806207119436, 'latency_mean': 2.354255298376083, 'latency_p50': 2.3600263595581055, 'latency_p90': 2.58219199180603}, {'batch_size': 5, 'throughput': 1.6075215764331208, 'latency_mean': 3.091263358592987, 'latency_p50': 3.062631130218506, 'latency_p90': 3.4988940954208374}, {'batch_size': 6, 'throughput': 1.7294164803943721, 'latency_mean': 3.4508881616592406, 'latency_p50': 3.469827890396118, 'latency_p90': 3.8538248538970947}, {'batch_size': 8, 'throughput': 1.8811738178842805, 'latency_mean': 4.228142637014389, 'latency_p50': 4.2303972244262695, 'latency_p90': 4.741542482376098}, {'batch_size': 10, 'throughput': 1.9722783778720574, 'latency_mean': 5.04355080485344, 'latency_p50': 5.072698712348938, 'latency_p90': 5.721716046333313}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: chaiml-mistral-nemo-dpo-_7200_v2
is_internal_developer: True
language_model: ChaiML/mistral_nemo_dpo_round2_albert_20241220_v1-checkpoint-138
model_size: 13B
ranking_group: single
throughput_3p7s: 1.79
us_pacific_date: 2024-12-20
win_ratio: 0.4619113573407202
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-dpo-7200-v2-mkmlizer
Waiting for job on chaiml-mistral-nemo-dpo-7200-v2-mkmlizer to finish
chaiml-mistral-nemo-dpo-7200-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral-nemo-dpo-7200-v2-mkmlizer: ║ _____ __ __ ║
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chaiml-mistral-nemo-dpo-7200-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
chaiml-mistral-nemo-dpo-7200-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
chaiml-mistral-nemo-dpo-7200-v2-mkmlizer: ║ /___/ ║
chaiml-mistral-nemo-dpo-7200-v2-mkmlizer: ║ ║
chaiml-mistral-nemo-dpo-7200-v2-mkmlizer: ║ Version: 0.11.12 ║
chaiml-mistral-nemo-dpo-7200-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistral-nemo-dpo-7200-v2-mkmlizer: ║ https://mk1.ai ║
chaiml-mistral-nemo-dpo-7200-v2-mkmlizer: ║ ║
chaiml-mistral-nemo-dpo-7200-v2-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-mistral-nemo-dpo-7200-v2-mkmlizer: ║ belonging to: ║
chaiml-mistral-nemo-dpo-7200-v2-mkmlizer: ║ ║
chaiml-mistral-nemo-dpo-7200-v2-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistral-nemo-dpo-7200-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral-nemo-dpo-7200-v2-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
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chaiml-mistral-nemo-dpo-7200-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Failed to get response for submission chaiml-mistral-nemo-dpo-_8107_v1: ('http://chaiml-mistral-nemo-dpo-8107-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:56726->127.0.0.1:8080: read: connection reset by peer\n')
chaiml-mistral-nemo-dpo-7200-v2-mkmlizer: Downloaded to shared memory in 43.351s
chaiml-mistral-nemo-dpo-7200-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp2ks67kxd, device:0
chaiml-mistral-nemo-dpo-7200-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral-nemo-dpo-7200-v2-mkmlizer: quantized model in 35.760s
chaiml-mistral-nemo-dpo-7200-v2-mkmlizer: Processed model ChaiML/mistral_nemo_dpo_round2_albert_20241220_v1-checkpoint-138 in 79.111s
chaiml-mistral-nemo-dpo-7200-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-nemo-dpo-7200-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-nemo-dpo-7200-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-7200-v2
chaiml-mistral-nemo-dpo-7200-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-7200-v2/config.json
chaiml-mistral-nemo-dpo-7200-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-7200-v2/special_tokens_map.json
chaiml-mistral-nemo-dpo-7200-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-7200-v2/tokenizer_config.json
chaiml-mistral-nemo-dpo-7200-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-7200-v2/tokenizer.json
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Job chaiml-mistral-nemo-dpo-7200-v2-mkmlizer completed after 104.73s with status: succeeded
Stopping job with name chaiml-mistral-nemo-dpo-7200-v2-mkmlizer
Pipeline stage MKMLizer completed in 105.45s
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Creating inference service chaiml-mistral-nemo-dpo-7200-v2
Waiting for inference service chaiml-mistral-nemo-dpo-7200-v2 to be ready
Inference service chaiml-mistral-nemo-dpo-7200-v2 ready after 251.0363757610321s
Pipeline stage MKMLDeployer completed in 251.61s
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Received healthy response to inference request in 1.6139123439788818s
Received healthy response to inference request in 0.7705817222595215s
Received healthy response to inference request in 0.7958991527557373s
Received healthy response to inference request in 0.7402937412261963s
Received healthy response to inference request in 1.3108298778533936s
5 requests
0 failed requests
5th percentile: 0.7463513374328613
10th percentile: 0.7524089336395263
20th percentile: 0.7645241260528565
30th percentile: 0.7756452083587646
40th percentile: 0.785772180557251
50th percentile: 0.7958991527557373
60th percentile: 1.0018714427947997
70th percentile: 1.2078437328338623
80th percentile: 1.3714463710784912
90th percentile: 1.4926793575286865
95th percentile: 1.5532958507537842
99th percentile: 1.6017890453338623
mean time: 1.0463033676147462
Pipeline stage StressChecker completed in 6.58s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.75s
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Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2376.34s
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chaiml-mistral-nemo-dpo-_7200_v2 status is now inactive due to auto deactivation removed underperforming models