submission_id: rica40325-feedback-dpo-7_v1
developer_uid: rica40325
alignment_samples: 13545
alignment_score: -0.5672191369240738
best_of: 16
celo_rating: 883.3
display_name: rica40325-feedback-dpo-7_v1
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: rica40325/feedback_dpo_7
latencies: [{'batch_size': 1, 'throughput': 0.9001635084084265, 'latency_mean': 1.1108137023448945, 'latency_p50': 1.111203670501709, 'latency_p90': 1.231152081489563}, {'batch_size': 4, 'throughput': 1.8223350735813628, 'latency_mean': 2.1804723286628724, 'latency_p50': 2.1581379175186157, 'latency_p90': 2.4795950651168823}, {'batch_size': 5, 'throughput': 1.8806055253471996, 'latency_mean': 2.646614600419998, 'latency_p50': 2.646472454071045, 'latency_p90': 2.9561567544937133}, {'batch_size': 8, 'throughput': 2.0061408379787644, 'latency_mean': 3.9566712045669554, 'latency_p50': 3.9546924829483032, 'latency_p90': 4.445087552070618}, {'batch_size': 10, 'throughput': 2.0163921715243474, 'latency_mean': 4.9050632512569425, 'latency_p50': 4.8808372020721436, 'latency_p90': 5.624004530906677}, {'batch_size': 12, 'throughput': 2.0279307879287827, 'latency_mean': 5.834812220335007, 'latency_p50': 5.839073419570923, 'latency_p90': 6.757932686805725}, {'batch_size': 15, 'throughput': 2.029985961080009, 'latency_mean': 7.242907334566116, 'latency_p50': 7.3394775390625, 'latency_p90': 8.036587595939636}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: rica40325/feedback_dpo_7
model_name: rica40325-feedback-dpo-7_v1
model_num_parameters: 8030261248.0
model_repo: rica40325/feedback_dpo_7
model_size: 8B
num_battles: 13544
num_wins: 1546
propriety_score: 0.6443123938879457
propriety_total_count: 1178.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 2.0
timestamp: 2024-09-10T10:42:49+00:00
us_pacific_date: 2024-09-10
win_ratio: 0.11414648552864737
Download Preference Data
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 rica40325-feedback-dpo-7-v1-mkmlizer
Waiting for job on rica40325-feedback-dpo-7-v1-mkmlizer to finish
rica40325-feedback-dpo-7-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rica40325-feedback-dpo-7-v1-mkmlizer: ║ _____ __ __ ║
rica40325-feedback-dpo-7-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
rica40325-feedback-dpo-7-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
rica40325-feedback-dpo-7-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
rica40325-feedback-dpo-7-v1-mkmlizer: ║ /___/ ║
rica40325-feedback-dpo-7-v1-mkmlizer: ║ ║
rica40325-feedback-dpo-7-v1-mkmlizer: ║ Version: 0.10.1 ║
rica40325-feedback-dpo-7-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
rica40325-feedback-dpo-7-v1-mkmlizer: ║ https://mk1.ai ║
rica40325-feedback-dpo-7-v1-mkmlizer: ║ ║
rica40325-feedback-dpo-7-v1-mkmlizer: ║ The license key for the current software has been verified as ║
rica40325-feedback-dpo-7-v1-mkmlizer: ║ belonging to: ║
rica40325-feedback-dpo-7-v1-mkmlizer: ║ ║
rica40325-feedback-dpo-7-v1-mkmlizer: ║ Chai Research Corp. ║
rica40325-feedback-dpo-7-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rica40325-feedback-dpo-7-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
rica40325-feedback-dpo-7-v1-mkmlizer: ║ ║
rica40325-feedback-dpo-7-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
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rica40325-feedback-dpo-7-v1-mkmlizer: Downloaded to shared memory in 67.437s
rica40325-feedback-dpo-7-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpvm_j0duk, device:0
rica40325-feedback-dpo-7-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rica40325-feedback-dpo-7-v1-mkmlizer: quantized model in 29.527s
rica40325-feedback-dpo-7-v1-mkmlizer: Processed model rica40325/feedback_dpo_7 in 96.963s
rica40325-feedback-dpo-7-v1-mkmlizer: creating bucket guanaco-mkml-models
rica40325-feedback-dpo-7-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-feedback-dpo-7-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-feedback-dpo-7-v1
rica40325-feedback-dpo-7-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-feedback-dpo-7-v1/tokenizer.json
rica40325-feedback-dpo-7-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-feedback-dpo-7-v1/flywheel_model.0.safetensors
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Job rica40325-feedback-dpo-7-v1-mkmlizer completed after 115.81s with status: succeeded
Stopping job with name rica40325-feedback-dpo-7-v1-mkmlizer
Pipeline stage MKMLizer completed in 116.82s
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Pipeline stage MKMLTemplater completed in 0.08s
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Creating inference service rica40325-feedback-dpo-7-v1
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Failed to get response for submission blend_sisun_2024-09-09: ('http://chaiml-llama-8b-pairwis-8189-v19-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'readfrom tcp 127.0.0.1:41646->127.0.0.1:8080: write tcp 127.0.0.1:41646->127.0.0.1:8080: use of closed network connection\n')
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Inference service rica40325-feedback-dpo-7-v1 ready after 191.18641304969788s
Pipeline stage MKMLDeployer completed in 191.52s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.9437921047210693s
Received healthy response to inference request in 1.4477081298828125s
Received healthy response to inference request in 2.1275343894958496s
Received healthy response to inference request in 1.6078767776489258s
Received healthy response to inference request in 1.709639549255371s
5 requests
0 failed requests
5th percentile: 1.4797418594360352
10th percentile: 1.511775588989258
20th percentile: 1.575843048095703
30th percentile: 1.6282293319702148
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70th percentile: 1.8969615936279296
80th percentile: 1.9805405616760254
90th percentile: 2.0540374755859374
95th percentile: 2.0907859325408937
99th percentile: 2.1201846981048584
mean time: 1.7673101902008057
Pipeline stage StressChecker completed in 9.53s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 8.58s
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Pipeline stage MKMLProfilerTemplater completed in 0.11s
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Creating inference service rica40325-feedback-dpo-7-v1-profiler
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Inference service rica40325-feedback-dpo-7-v1-profiler ready after 160.4412636756897s
Pipeline stage MKMLProfilerDeployer completed in 160.81s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rica40325-feedback-dpo-7-v1-profiler-predictor-00001-deplonfkth:/code/chaiverse_profiler_1725965494 --namespace tenant-chaiml-guanaco
kubectl exec -it rica40325-feedback-dpo-7-v1-profiler-predictor-00001-deplonfkth --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725965494 && python profiles.py profile --best_of_n 16 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 512 --output_tokens 64 --summary /code/chaiverse_profiler_1725965494/summary.json'
kubectl exec -it rica40325-feedback-dpo-7-v1-profiler-predictor-00001-deplonfkth --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725965494/summary.json'
Pipeline stage MKMLProfilerRunner completed in 841.19s
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Checking if service rica40325-feedback-dpo-7-v1-profiler is running
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Service rica40325-feedback-dpo-7-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.71s
Shutdown handler de-registered
rica40325-feedback-dpo-7_v1 status is now inactive due to auto deactivation removed underperforming models