submission_id: rica40325-feedback-dpo-10_v2
developer_uid: rica40325
alignment_samples: 12869
alignment_score: -0.09945737761747812
best_of: 8
celo_rating: 1228.26
display_name: rica40325-feedback-dpo-10_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': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: rica40325/feedback_dpo_10
latencies: [{'batch_size': 1, 'throughput': 0.9850711833029422, 'latency_mean': 1.015062974691391, 'latency_p50': 1.0110405683517456, 'latency_p90': 1.1405688762664794}, {'batch_size': 5, 'throughput': 2.6699645872118563, 'latency_mean': 1.8652181494235993, 'latency_p50': 1.8558623790740967, 'latency_p90': 2.06534206867218}, {'batch_size': 10, 'throughput': 3.1514048027376917, 'latency_mean': 3.1375916981697083, 'latency_p50': 3.1663548946380615, 'latency_p90': 3.5436832189559935}, {'batch_size': 15, 'throughput': 3.36217207636068, 'latency_mean': 4.408860654830932, 'latency_p50': 4.409454584121704, 'latency_p90': 4.990269899368286}, {'batch_size': 20, 'throughput': 3.345782400532887, 'latency_mean': 5.8601353490352635, 'latency_p50': 5.902622938156128, 'latency_p90': 6.546109509468079}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: rica40325/feedback_dpo_1
model_name: rica40325-feedback-dpo-10_v1
model_num_parameters: 8030261248.0
model_repo: rica40325/feedback_dpo_10
model_size: 8B
num_battles: 12868
num_wins: 6174
propriety_score: 0.7178571428571429
propriety_total_count: 1120.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 3.3
timestamp: 2024-09-11T08:22:05+00:00
us_pacific_date: 2024-09-11
win_ratio: 0.4797948399129624
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-10-v2-mkmlizer
Waiting for job on rica40325-feedback-dpo-10-v2-mkmlizer to finish
rica40325-feedback-dpo-10-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rica40325-feedback-dpo-10-v2-mkmlizer: ║ _____ __ __ ║
rica40325-feedback-dpo-10-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
rica40325-feedback-dpo-10-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
rica40325-feedback-dpo-10-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
rica40325-feedback-dpo-10-v2-mkmlizer: ║ /___/ ║
rica40325-feedback-dpo-10-v2-mkmlizer: ║ ║
rica40325-feedback-dpo-10-v2-mkmlizer: ║ Version: 0.10.1 ║
rica40325-feedback-dpo-10-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
rica40325-feedback-dpo-10-v2-mkmlizer: ║ https://mk1.ai ║
rica40325-feedback-dpo-10-v2-mkmlizer: ║ ║
rica40325-feedback-dpo-10-v2-mkmlizer: ║ The license key for the current software has been verified as ║
rica40325-feedback-dpo-10-v2-mkmlizer: ║ belonging to: ║
rica40325-feedback-dpo-10-v2-mkmlizer: ║ ║
rica40325-feedback-dpo-10-v2-mkmlizer: ║ Chai Research Corp. ║
rica40325-feedback-dpo-10-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rica40325-feedback-dpo-10-v2-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
rica40325-feedback-dpo-10-v2-mkmlizer: ║ ║
rica40325-feedback-dpo-10-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rica40325-feedback-dpo-10-v2-mkmlizer: Downloaded to shared memory in 54.254s
rica40325-feedback-dpo-10-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpigov767w, device:0
rica40325-feedback-dpo-10-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rica40325-feedback-dpo-10-v2-mkmlizer: quantized model in 29.381s
rica40325-feedback-dpo-10-v2-mkmlizer: Processed model rica40325/feedback_dpo_10 in 83.635s
rica40325-feedback-dpo-10-v2-mkmlizer: creating bucket guanaco-mkml-models
rica40325-feedback-dpo-10-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-feedback-dpo-10-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-feedback-dpo-10-v2
rica40325-feedback-dpo-10-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-feedback-dpo-10-v2/config.json
rica40325-feedback-dpo-10-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-feedback-dpo-10-v2/special_tokens_map.json
rica40325-feedback-dpo-10-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-feedback-dpo-10-v2/tokenizer_config.json
rica40325-feedback-dpo-10-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-feedback-dpo-10-v2/tokenizer.json
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rica40325-feedback-dpo-10-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-feedback-dpo-10-v2/flywheel_model.0.safetensors
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Job rica40325-feedback-dpo-10-v2-mkmlizer completed after 104.89s with status: succeeded
Stopping job with name rica40325-feedback-dpo-10-v2-mkmlizer
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Inference service rica40325-feedback-dpo-10-v2 ready after 161.35511088371277s
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Received healthy response to inference request in 2.37652850151062s
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Received healthy response to inference request in 1.4512887001037598s
Received healthy response to inference request in 1.737461805343628s
Received healthy response to inference request in 1.9667718410491943s
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mean time: 1.9485051155090332
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Inference service rica40325-feedback-dpo-10-v2-profiler ready after 160.50564217567444s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rica40325-feedback-d1783b54485310643a6ffb6731e43b9f9-deplolrhkl:/code/chaiverse_profiler_1726043407 --namespace tenant-chaiml-guanaco
kubectl exec -it rica40325-feedback-d1783b54485310643a6ffb6731e43b9f9-deplolrhkl --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726043407 && python profiles.py profile --best_of_n 8 --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_1726043407/summary.json'
kubectl exec -it rica40325-feedback-d1783b54485310643a6ffb6731e43b9f9-deplolrhkl --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726043407/summary.json'
Pipeline stage MKMLProfilerRunner completed in 466.27s
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Checking if service rica40325-feedback-dpo-10-v2-profiler is running
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Service rica40325-feedback-dpo-10-v2-profiler has been torndown
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Shutdown handler de-registered
rica40325-feedback-dpo-10_v2 status is now inactive due to auto deactivation removed underperforming models