submission_id: rica40325-alignment-first_v4
developer_uid: rica40325
alignment_samples: 13519
alignment_score: 0.28161526657934255
best_of: 16
celo_rating: 1197.66
display_name: rica40325-alignment-first_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': 2.0, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 80, '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/alignment-first
latencies: [{'batch_size': 1, 'throughput': 0.896928474117526, 'latency_mean': 1.1148475360870362, 'latency_p50': 1.1164132356643677, 'latency_p90': 1.2513904571533203}, {'batch_size': 4, 'throughput': 1.7912859707148705, 'latency_mean': 2.2230956518650054, 'latency_p50': 2.2181501388549805, 'latency_p90': 2.4894498586654663}, {'batch_size': 5, 'throughput': 1.8618964206430488, 'latency_mean': 2.670583585500717, 'latency_p50': 2.6692804098129272, 'latency_p90': 3.0036890029907224}, {'batch_size': 8, 'throughput': 2.0000440321125805, 'latency_mean': 3.973714334964752, 'latency_p50': 3.9161770343780518, 'latency_p90': 4.483904719352722}, {'batch_size': 10, 'throughput': 2.0346037980335825, 'latency_mean': 4.863650344610214, 'latency_p50': 4.835874915122986, 'latency_p90': 5.68966052532196}, {'batch_size': 12, 'throughput': 2.0179374370951253, 'latency_mean': 5.862228792905808, 'latency_p50': 5.872660279273987, 'latency_p90': 6.725356268882751}, {'batch_size': 15, 'throughput': 2.018982679147122, 'latency_mean': 7.280075047016144, 'latency_p50': 7.439767956733704, 'latency_p90': 7.985824060440064}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: rica40325/alignment-firs
model_name: rica40325-alignment-first_v1
model_num_parameters: 8030261248.0
model_repo: rica40325/alignment-first
model_size: 8B
num_battles: 13518
num_wins: 5912
propriety_score: 0.7285223367697594
propriety_total_count: 1164.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.99
timestamp: 2024-09-08T10:44:26+00:00
us_pacific_date: 2024-09-08
win_ratio: 0.43734280218967303
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Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
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Running pipeline stage MKMLizer
Starting job with name rica40325-alignment-first-v4-mkmlizer
Waiting for job on rica40325-alignment-first-v4-mkmlizer to finish
rica40325-alignment-first-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rica40325-alignment-first-v4-mkmlizer: ║ _____ __ __ ║
rica40325-alignment-first-v4-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
rica40325-alignment-first-v4-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
rica40325-alignment-first-v4-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
rica40325-alignment-first-v4-mkmlizer: ║ /___/ ║
rica40325-alignment-first-v4-mkmlizer: ║ ║
rica40325-alignment-first-v4-mkmlizer: ║ Version: 0.10.1 ║
rica40325-alignment-first-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
rica40325-alignment-first-v4-mkmlizer: ║ https://mk1.ai ║
rica40325-alignment-first-v4-mkmlizer: ║ ║
rica40325-alignment-first-v4-mkmlizer: ║ The license key for the current software has been verified as ║
rica40325-alignment-first-v4-mkmlizer: ║ belonging to: ║
rica40325-alignment-first-v4-mkmlizer: ║ ║
rica40325-alignment-first-v4-mkmlizer: ║ Chai Research Corp. ║
rica40325-alignment-first-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rica40325-alignment-first-v4-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
rica40325-alignment-first-v4-mkmlizer: ║ ║
rica40325-alignment-first-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rica40325-alignment-first-v4-mkmlizer: Downloaded to shared memory in 21.629s
rica40325-alignment-first-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpdzhqd1ng, device:0
rica40325-alignment-first-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rica40325-alignment-first-v4-mkmlizer: quantized model in 25.168s
rica40325-alignment-first-v4-mkmlizer: Processed model rica40325/alignment-first in 46.797s
rica40325-alignment-first-v4-mkmlizer: creating bucket guanaco-mkml-models
rica40325-alignment-first-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-alignment-first-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-alignment-first-v4
rica40325-alignment-first-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-alignment-first-v4/config.json
rica40325-alignment-first-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-alignment-first-v4/special_tokens_map.json
rica40325-alignment-first-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-alignment-first-v4/tokenizer_config.json
rica40325-alignment-first-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-alignment-first-v4/tokenizer.json
rica40325-alignment-first-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-alignment-first-v4/flywheel_model.0.safetensors
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Inference service rica40325-alignment-first-v4 ready after 170.5515637397766s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rica40325-alignment-8ab3e2a5c862785f9a5158b1b6ea328f-deploq89j9:/code/chaiverse_profiler_1725792726 --namespace tenant-chaiml-guanaco
kubectl exec -it rica40325-alignment-8ab3e2a5c862785f9a5158b1b6ea328f-deploq89j9 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725792726 && 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_1725792726/summary.json'
kubectl exec -it rica40325-alignment-8ab3e2a5c862785f9a5158b1b6ea328f-deploq89j9 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725792726/summary.json'
Pipeline stage MKMLProfilerRunner completed in 846.11s
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rica40325-alignment-first_v4 status is now inactive due to auto deactivation removed underperforming models