submission_id: sao10k-hanami-1_v1
developer_uid: sao10k
best_of: 8
celo_rating: 1256.51
display_name: Hanami1
family_friendly_score: 0.0
formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 1.2, 'top_p': 1.0, 'min_p': 0.2, 'top_k': 50, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '\n\n', '<|eot_id|>', '\n\n{user_name}', '\nYou:', '<|end_header_id|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: Sao10K/Hanami-1
latencies: [{'batch_size': 1, 'throughput': 0.8696832510582204, 'latency_mean': 1.149750324487686, 'latency_p50': 1.150319218635559, 'latency_p90': 1.268266987800598}, {'batch_size': 4, 'throughput': 1.8613166640558052, 'latency_mean': 2.1382693815231324, 'latency_p50': 2.1476703882217407, 'latency_p90': 2.3536849498748778}, {'batch_size': 5, 'throughput': 1.983128886216792, 'latency_mean': 2.5120989012718202, 'latency_p50': 2.5298067331314087, 'latency_p90': 2.7633197784423826}, {'batch_size': 8, 'throughput': 2.1996106792976353, 'latency_mean': 3.602684267759323, 'latency_p50': 3.5879119634628296, 'latency_p90': 4.09387400150299}, {'batch_size': 10, 'throughput': 2.214206555426689, 'latency_mean': 4.479609251022339, 'latency_p50': 4.509705543518066, 'latency_p90': 5.085396838188172}, {'batch_size': 12, 'throughput': 2.217717965525334, 'latency_mean': 5.363757123947144, 'latency_p50': 5.40757954120636, 'latency_p90': 6.091878628730774}, {'batch_size': 15, 'throughput': 2.1833794570914486, 'latency_mean': 6.785050321817398, 'latency_p50': 6.7830798625946045, 'latency_p90': 7.645038104057312}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: Sao10K/Hanami-1
model_name: Hanami1
model_num_parameters: 8030261248.0
model_repo: Sao10K/Hanami-1
model_size: 8B
num_battles: 13451
num_wins: 7026
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 2.22
timestamp: 2024-09-06T21:52:27+00:00
us_pacific_date: 2024-09-06
win_ratio: 0.5223403464426437
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
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run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name sao10k-hanami-1-v1-mkmlizer
Waiting for job on sao10k-hanami-1-v1-mkmlizer to finish
sao10k-hanami-1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
sao10k-hanami-1-v1-mkmlizer: ║ _____ __ __ ║
sao10k-hanami-1-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
sao10k-hanami-1-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
sao10k-hanami-1-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
sao10k-hanami-1-v1-mkmlizer: ║ /___/ ║
sao10k-hanami-1-v1-mkmlizer: ║ ║
sao10k-hanami-1-v1-mkmlizer: ║ Version: 0.10.1 ║
sao10k-hanami-1-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
sao10k-hanami-1-v1-mkmlizer: ║ https://mk1.ai ║
sao10k-hanami-1-v1-mkmlizer: ║ ║
sao10k-hanami-1-v1-mkmlizer: ║ The license key for the current software has been verified as ║
sao10k-hanami-1-v1-mkmlizer: ║ belonging to: ║
sao10k-hanami-1-v1-mkmlizer: ║ ║
sao10k-hanami-1-v1-mkmlizer: ║ Chai Research Corp. ║
sao10k-hanami-1-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
sao10k-hanami-1-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
sao10k-hanami-1-v1-mkmlizer: ║ ║
sao10k-hanami-1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
sao10k-hanami-1-v1-mkmlizer: Downloaded to shared memory in 34.496s
sao10k-hanami-1-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpa8m2k1r5, device:0
sao10k-hanami-1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
sao10k-hanami-1-v1-mkmlizer: quantized model in 26.442s
sao10k-hanami-1-v1-mkmlizer: Processed model Sao10K/Hanami-1 in 60.938s
sao10k-hanami-1-v1-mkmlizer: creating bucket guanaco-mkml-models
sao10k-hanami-1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sao10k-hanami-1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sao10k-hanami-1-v1
sao10k-hanami-1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sao10k-hanami-1-v1/config.json
sao10k-hanami-1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sao10k-hanami-1-v1/special_tokens_map.json
sao10k-hanami-1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sao10k-hanami-1-v1/tokenizer_config.json
sao10k-hanami-1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sao10k-hanami-1-v1/tokenizer.json
sao10k-hanami-1-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/sao10k-hanami-1-v1/flywheel_model.0.safetensors
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Job sao10k-hanami-1-v1-mkmlizer completed after 84.19s with status: succeeded
Stopping job with name sao10k-hanami-1-v1-mkmlizer
Pipeline stage MKMLizer completed in 85.22s
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Inference service sao10k-hanami-1-v1 ready after 151.89241766929626s
Pipeline stage MKMLDeployer completed in 152.27s
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Received healthy response to inference request in 1.8685634136199951s
Received healthy response to inference request in 1.53019380569458s
Received healthy response to inference request in 2.0782642364501953s
Received healthy response to inference request in 1.5667667388916016s
Received healthy response to inference request in 1.3484382629394531s
5 requests
0 failed requests
5th percentile: 1.3847893714904784
10th percentile: 1.421140480041504
20th percentile: 1.4938426971435548
30th percentile: 1.5375083923339843
40th percentile: 1.552137565612793
50th percentile: 1.5667667388916016
60th percentile: 1.687485408782959
70th percentile: 1.8082040786743163
80th percentile: 1.9105035781860351
90th percentile: 1.9943839073181153
95th percentile: 2.036324071884155
99th percentile: 2.069876203536987
mean time: 1.678445291519165
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Inference service sao10k-hanami-1-v1-profiler ready after 150.382230758667s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/sao10k-hanami-1-v1-profiler-predictor-00001-deployment-7b7mpcmt:/code/chaiverse_profiler_1725660004 --namespace tenant-chaiml-guanaco
kubectl exec -it sao10k-hanami-1-v1-profiler-predictor-00001-deployment-7b7mpcmt --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725660004 && 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 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1725660004/summary.json'
kubectl exec -it sao10k-hanami-1-v1-profiler-predictor-00001-deployment-7b7mpcmt --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725660004/summary.json'
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