submission_id: rica40325-feedback-dpo-1_v1
developer_uid: rica40325
alignment_samples: 10879
alignment_score: -2.231584682995858
best_of: 16
celo_rating: 1199.82
display_name: rica40325-feedback-dpo-1_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_1
latencies: [{'batch_size': 1, 'throughput': 0.9001365457958393, 'latency_mean': 1.110846880674362, 'latency_p50': 1.111804485321045, 'latency_p90': 1.240002989768982}, {'batch_size': 4, 'throughput': 1.7834646418181843, 'latency_mean': 2.2323223721981047, 'latency_p50': 2.214232087135315, 'latency_p90': 2.4755945205688477}, {'batch_size': 5, 'throughput': 1.8436144288600866, 'latency_mean': 2.6991999328136442, 'latency_p50': 2.684322714805603, 'latency_p90': 3.0181952714920044}, {'batch_size': 8, 'throughput': 1.9759455906801826, 'latency_mean': 4.021194226741791, 'latency_p50': 4.02299439907074, 'latency_p90': 4.501471328735351}, {'batch_size': 10, 'throughput': 1.9918394260301455, 'latency_mean': 4.966296423673629, 'latency_p50': 4.977869629859924, 'latency_p90': 5.727089977264404}, {'batch_size': 12, 'throughput': 1.9919586127976976, 'latency_mean': 5.94659983754158, 'latency_p50': 5.9455941915512085, 'latency_p90': 7.020065402984619}, {'batch_size': 15, 'throughput': 2.0030616780250554, 'latency_mean': 7.33392229437828, 'latency_p50': 7.499969720840454, 'latency_p90': 8.190824151039124}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: rica40325/feedback_dpo_1
model_name: rica40325-feedback-dpo-1_v1
model_num_parameters: 8030261248.0
model_repo: rica40325/feedback_dpo_1
model_size: 8B
num_battles: 10879
num_wins: 4842
propriety_score: 0.7014767932489452
propriety_total_count: 948.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.97
timestamp: 2024-09-10T04:08:42+00:00
us_pacific_date: 2024-09-09
win_ratio: 0.44507767258020037
Download Preference Data
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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-1-v1-mkmlizer
Waiting for job on rica40325-feedback-dpo-1-v1-mkmlizer to finish
rica40325-feedback-dpo-1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rica40325-feedback-dpo-1-v1-mkmlizer: ║ _____ __ __ ║
rica40325-feedback-dpo-1-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
rica40325-feedback-dpo-1-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
rica40325-feedback-dpo-1-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
rica40325-feedback-dpo-1-v1-mkmlizer: ║ /___/ ║
rica40325-feedback-dpo-1-v1-mkmlizer: ║ ║
rica40325-feedback-dpo-1-v1-mkmlizer: ║ Version: 0.10.1 ║
rica40325-feedback-dpo-1-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
rica40325-feedback-dpo-1-v1-mkmlizer: ║ https://mk1.ai ║
rica40325-feedback-dpo-1-v1-mkmlizer: ║ ║
rica40325-feedback-dpo-1-v1-mkmlizer: ║ The license key for the current software has been verified as ║
rica40325-feedback-dpo-1-v1-mkmlizer: ║ belonging to: ║
rica40325-feedback-dpo-1-v1-mkmlizer: ║ ║
rica40325-feedback-dpo-1-v1-mkmlizer: ║ Chai Research Corp. ║
rica40325-feedback-dpo-1-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rica40325-feedback-dpo-1-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
rica40325-feedback-dpo-1-v1-mkmlizer: ║ ║
rica40325-feedback-dpo-1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
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rica40325-feedback-dpo-1-v1-mkmlizer: Downloaded to shared memory in 73.229s
rica40325-feedback-dpo-1-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpw9gsuq2w, device:0
rica40325-feedback-dpo-1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rica40325-feedback-dpo-1-v1-mkmlizer: quantized model in 29.029s
rica40325-feedback-dpo-1-v1-mkmlizer: Processed model rica40325/feedback_dpo_1 in 102.258s
rica40325-feedback-dpo-1-v1-mkmlizer: creating bucket guanaco-mkml-models
rica40325-feedback-dpo-1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-feedback-dpo-1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-feedback-dpo-1-v1
rica40325-feedback-dpo-1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-feedback-dpo-1-v1/config.json
rica40325-feedback-dpo-1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-feedback-dpo-1-v1/special_tokens_map.json
rica40325-feedback-dpo-1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-feedback-dpo-1-v1/tokenizer_config.json
rica40325-feedback-dpo-1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-feedback-dpo-1-v1/tokenizer.json
rica40325-feedback-dpo-1-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-feedback-dpo-1-v1/flywheel_model.0.safetensors
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Job rica40325-feedback-dpo-1-v1-mkmlizer completed after 126.78s with status: succeeded
Stopping job with name rica40325-feedback-dpo-1-v1-mkmlizer
Pipeline stage MKMLizer completed in 128.09s
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Inference service rica40325-feedback-dpo-1-v1 ready after 151.04111552238464s
Pipeline stage MKMLDeployer completed in 153.49s
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Received healthy response to inference request in 2.073748826980591s
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Received healthy response to inference request in 1.7226002216339111s
Received healthy response to inference request in 1.489062786102295s
Received healthy response to inference request in 1.9915502071380615s
5 requests
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mean time: 1.7971297264099122
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Inference service rica40325-feedback-dpo-1-v1-profiler ready after 140.32679748535156s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rica40325-feedback-dpo-1-v1-profiler-predictor-00001-deplohmbzb:/code/chaiverse_profiler_1725941796 --namespace tenant-chaiml-guanaco
kubectl exec -it rica40325-feedback-dpo-1-v1-profiler-predictor-00001-deplohmbzb --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725941796 && 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_1725941796/summary.json'
kubectl exec -it rica40325-feedback-dpo-1-v1-profiler-predictor-00001-deplohmbzb --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725941796/summary.json'
Pipeline stage MKMLProfilerRunner completed in 850.21s
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rica40325-feedback-dpo-1_v1 status is now inactive due to auto deactivation removed underperforming models