developer_uid: azuruce
submission_id: chaiml-0919-quad-dataset_3078_v1
model_name: horror-retort
model_group: ChaiML/0919-quad-dataset
status: torndown
timestamp: 2024-09-19T07:48:29+00:00
num_battles: 11403
num_wins: 5625
celo_rating: 1238.54
family_friendly_score: 0.0
submission_type: basic
model_repo: ChaiML/0919-quad-dataset-albert
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6293005034201927, 'latency_mean': 1.5889837205410005, 'latency_p50': 1.5891664028167725, 'latency_p90': 1.7392705440521241}, {'batch_size': 3, 'throughput': 1.2321807851996778, 'latency_mean': 2.425959949493408, 'latency_p50': 2.4106041193008423, 'latency_p90': 2.6665214776992796}, {'batch_size': 5, 'throughput': 1.5140101038194358, 'latency_mean': 3.28539613366127, 'latency_p50': 3.3076597452163696, 'latency_p90': 3.6654307365417482}, {'batch_size': 6, 'throughput': 1.6089321530782767, 'latency_mean': 3.702901293039322, 'latency_p50': 3.7169957160949707, 'latency_p90': 4.212302660942077}, {'batch_size': 8, 'throughput': 1.7136044497603098, 'latency_mean': 4.633024438619613, 'latency_p50': 4.65242063999176, 'latency_p90': 5.21119110584259}, {'batch_size': 10, 'throughput': 1.751055682400826, 'latency_mean': 5.667713431119918, 'latency_p50': 5.648458242416382, 'latency_p90': 6.437035250663757}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: horror-retort
is_internal_developer: True
language_model: ChaiML/0919-quad-dataset-albert
model_size: 13B
ranking_group: single
throughput_3p7s: 1.62
us_pacific_date: 2024-09-19
win_ratio: 0.49329123914759276
generation_params: {'temperature': 0.9, 'top_p': 0.9, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['\n'], '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
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Starting job with name chaiml-0919-quad-dataset-3078-v1-mkmlizer
Waiting for job on chaiml-0919-quad-dataset-3078-v1-mkmlizer to finish
chaiml-0919-quad-dataset-3078-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-0919-quad-dataset-3078-v1-mkmlizer: ║ _____ __ __ ║
chaiml-0919-quad-dataset-3078-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
chaiml-0919-quad-dataset-3078-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
chaiml-0919-quad-dataset-3078-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
chaiml-0919-quad-dataset-3078-v1-mkmlizer: ║ /___/ ║
chaiml-0919-quad-dataset-3078-v1-mkmlizer: ║ ║
chaiml-0919-quad-dataset-3078-v1-mkmlizer: ║ Version: 0.10.1 ║
chaiml-0919-quad-dataset-3078-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-0919-quad-dataset-3078-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-0919-quad-dataset-3078-v1-mkmlizer: ║ ║
chaiml-0919-quad-dataset-3078-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-0919-quad-dataset-3078-v1-mkmlizer: ║ belonging to: ║
chaiml-0919-quad-dataset-3078-v1-mkmlizer: ║ ║
chaiml-0919-quad-dataset-3078-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-0919-quad-dataset-3078-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-0919-quad-dataset-3078-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
chaiml-0919-quad-dataset-3078-v1-mkmlizer: ║ ║
chaiml-0919-quad-dataset-3078-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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chaiml-0919-quad-dataset-3078-v1-mkmlizer: Downloaded to shared memory in 93.457s
chaiml-0919-quad-dataset-3078-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpd1d4qkgq, device:0
chaiml-0919-quad-dataset-3078-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission mistralai-mistral-small-_5341_v1: ('http://mistralai-mistral-small-5341-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'request timeout')
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chaiml-0919-quad-dataset-3078-v1-mkmlizer: quantized model in 41.274s
chaiml-0919-quad-dataset-3078-v1-mkmlizer: Processed model ChaiML/0919-quad-dataset-albert in 134.732s
chaiml-0919-quad-dataset-3078-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-0919-quad-dataset-3078-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-0919-quad-dataset-3078-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-0919-quad-dataset-3078-v1
chaiml-0919-quad-dataset-3078-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-0919-quad-dataset-3078-v1/config.json
chaiml-0919-quad-dataset-3078-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-0919-quad-dataset-3078-v1/special_tokens_map.json
chaiml-0919-quad-dataset-3078-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-0919-quad-dataset-3078-v1/tokenizer_config.json
chaiml-0919-quad-dataset-3078-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-0919-quad-dataset-3078-v1/tokenizer.json
chaiml-0919-quad-dataset-3078-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-0919-quad-dataset-3078-v1/flywheel_model.0.safetensors
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Job chaiml-0919-quad-dataset-3078-v1-mkmlizer completed after 156.71s with status: succeeded
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5th percentile: 1.5939492225646972
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-0919-quad-dat646097f484a461e5ed609ee398931f41-deplohfbmh:/code/chaiverse_profiler_1726732719 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-0919-quad-dat646097f484a461e5ed609ee398931f41-deplohfbmh --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726732719 && python profiles.py profile --best_of_n 4 --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 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1726732719/summary.json'
kubectl exec -it chaiml-0919-quad-dat646097f484a461e5ed609ee398931f41-deplohfbmh --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726732719/summary.json'
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