submission_id: rica40325-9-15-sftdpo_v1
developer_uid: rica40325
alignment_samples: 12299
alignment_score: -0.38695011025234144
best_of: 16
celo_rating: 1267.11
display_name: rica40325-9-15-sftdpo_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: rica40325/9-15-sftdpo
latencies: [{'batch_size': 1, 'throughput': 0.8879871408033594, 'latency_mean': 1.1260458552837371, 'latency_p50': 1.1427234411239624, 'latency_p90': 1.2432791233062743}, {'batch_size': 4, 'throughput': 1.8001177978830583, 'latency_mean': 2.2116847121715546, 'latency_p50': 2.207395911216736, 'latency_p90': 2.4787020444869996}, {'batch_size': 5, 'throughput': 1.8739046714735121, 'latency_mean': 2.657439855337143, 'latency_p50': 2.6615357398986816, 'latency_p90': 3.022435688972473}, {'batch_size': 8, 'throughput': 2.0141142343009513, 'latency_mean': 3.9411645770072936, 'latency_p50': 3.9832788705825806, 'latency_p90': 4.434662675857544}, {'batch_size': 10, 'throughput': 2.005491540592479, 'latency_mean': 4.938176889419555, 'latency_p50': 4.9737643003463745, 'latency_p90': 5.545082449913025}, {'batch_size': 12, 'throughput': 2.036518189007474, 'latency_mean': 5.810856127738953, 'latency_p50': 5.7276307344436646, 'latency_p90': 7.059406018257141}, {'batch_size': 15, 'throughput': 2.0203722383094194, 'latency_mean': 7.282128564119339, 'latency_p50': 7.398141384124756, 'latency_p90': 8.14166476726532}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: rica40325/9-15-sftdpo
model_name: rica40325-9-15-sftdpo_v1
model_num_parameters: 8030261248.0
model_repo: rica40325/9-15-sftdpo
model_size: 8B
num_battles: 12296
num_wins: 6398
propriety_score: 0.7506950880444856
propriety_total_count: 1079.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 2.01
timestamp: 2024-09-16T15:24:43+00:00
us_pacific_date: 2024-09-16
win_ratio: 0.5203318152244633
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run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name rica40325-9-15-sftdpo-v1-mkmlizer
Waiting for job on rica40325-9-15-sftdpo-v1-mkmlizer to finish
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rica40325-9-15-sftdpo-v1-mkmlizer: ║ ║
rica40325-9-15-sftdpo-v1-mkmlizer: ║ Version: 0.10.1 ║
rica40325-9-15-sftdpo-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
rica40325-9-15-sftdpo-v1-mkmlizer: ║ https://mk1.ai ║
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rica40325-9-15-sftdpo-v1-mkmlizer: ║ Chai Research Corp. ║
rica40325-9-15-sftdpo-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rica40325-9-15-sftdpo-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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rica40325-9-15-sftdpo-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rica40325-9-15-sftdpo-v1-mkmlizer: Downloaded to shared memory in 30.676s
rica40325-9-15-sftdpo-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpzbo1fm0j, device:0
rica40325-9-15-sftdpo-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rica40325-9-15-sftdpo-v1-mkmlizer: quantized model in 26.130s
rica40325-9-15-sftdpo-v1-mkmlizer: Processed model rica40325/9-15-sftdpo in 56.806s
rica40325-9-15-sftdpo-v1-mkmlizer: creating bucket guanaco-mkml-models
rica40325-9-15-sftdpo-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-9-15-sftdpo-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-9-15-sftdpo-v1
rica40325-9-15-sftdpo-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-9-15-sftdpo-v1/config.json
rica40325-9-15-sftdpo-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-9-15-sftdpo-v1/special_tokens_map.json
rica40325-9-15-sftdpo-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-9-15-sftdpo-v1/tokenizer_config.json
rica40325-9-15-sftdpo-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-9-15-sftdpo-v1/tokenizer.json
rica40325-9-15-sftdpo-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-9-15-sftdpo-v1/flywheel_model.0.safetensors
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Job rica40325-9-15-sftdpo-v1-mkmlizer completed after 86.94s with status: succeeded
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Failed to get response for submission blend_hokok_2024-09-09: ('http://neversleep-noromaid-v0-8068-v150-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Failed to get response for submission blend_hokok_2024-09-09: ('http://neversleep-noromaid-v0-8068-v150-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Inference service rica40325-9-15-sftdpo-v1 ready after 171.80312585830688s
Pipeline stage MKMLDeployer completed in 175.28s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.00215220451355s
Received healthy response to inference request in 2.179192543029785s
Received healthy response to inference request in 2.2801177501678467s
Received healthy response to inference request in 1.6981580257415771s
Received healthy response to inference request in 2.654038429260254s
5 requests
0 failed requests
5th percentile: 1.7589568614959716
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mean time: 2.1627317905426025
Pipeline stage StressChecker completed in 14.55s
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Inference service rica40325-9-15-sftdpo-v1-profiler ready after 170.49553298950195s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rica40325-9-15-sftdpo-v1-profiler-predictor-00001-deploymef2k8g:/code/chaiverse_profiler_1726500786 --namespace tenant-chaiml-guanaco
kubectl exec -it rica40325-9-15-sftdpo-v1-profiler-predictor-00001-deploymef2k8g --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726500786 && 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_1726500786/summary.json'
kubectl exec -it rica40325-9-15-sftdpo-v1-profiler-predictor-00001-deploymef2k8g --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726500786/summary.json'
Pipeline stage MKMLProfilerRunner completed in 854.04s
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Checking if service rica40325-9-15-sftdpo-v1-profiler is running
Tearing down inference service rica40325-9-15-sftdpo-v1-profiler
Service rica40325-9-15-sftdpo-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 12.92s
Shutdown handler de-registered
rica40325-9-15-sftdpo_v1 status is now inactive due to auto deactivation removed underperforming models