submission_id: chaiml-chaiml-sft-horror_v2
developer_uid: chai_backend_admin
best_of: 8
celo_rating: 1259.93
display_name: chaiml-chaiml-sft-horror_v2
family_friendly_score: 0.544482680036463
family_friendly_standard_error: 0.0023280206597160197
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n##Try to make the conversation scary while stay in character##\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': 0.9, 'top_p': 0.9, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['\n', '</s>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
ineligible_reason: model is not deployable
is_internal_developer: True
language_model: ChaiML/chaiml-sft-horror
latencies: [{'batch_size': 1, 'throughput': 0.607831744496391, 'latency_mean': 1.6450946271419524, 'latency_p50': 1.6506541967391968, 'latency_p90': 1.8115070343017579}, {'batch_size': 3, 'throughput': 1.0754503370595012, 'latency_mean': 2.779811327457428, 'latency_p50': 2.7925580739974976, 'latency_p90': 3.0596812963485718}, {'batch_size': 5, 'throughput': 1.2203394610004932, 'latency_mean': 4.0819917953014375, 'latency_p50': 4.11495304107666, 'latency_p90': 4.608464026451111}, {'batch_size': 6, 'throughput': 1.24176054524199, 'latency_mean': 4.814535529613495, 'latency_p50': 4.808460354804993, 'latency_p90': 5.502043771743774}, {'batch_size': 8, 'throughput': 1.2120958356328986, 'latency_mean': 6.5549041414260865, 'latency_p50': 6.523899555206299, 'latency_p90': 7.45654022693634}, {'batch_size': 10, 'throughput': 1.2041006329524648, 'latency_mean': 8.262617356777191, 'latency_p50': 8.320612907409668, 'latency_p90': 9.369233751296997}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: ChaiML/chaiml-sft-horror
model_name: chaiml-chaiml-sft-horror_v2
model_num_parameters: 12772070400.0
model_repo: ChaiML/chaiml-sft-horror
model_size: 13B
num_battles: 3399780
num_wins: 1735452
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.19
timestamp: 2024-09-17T22:28:09+00:00
us_pacific_date: 2024-09-17
win_ratio: 0.5104600885939679
Resubmit model
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 chaiml-chaiml-sft-horror-v2-mkmlizer
Waiting for job on chaiml-chaiml-sft-horror-v2-mkmlizer to finish
chaiml-chaiml-sft-horror-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-chaiml-sft-horror-v2-mkmlizer: ║     _____            __           __                                ║
chaiml-chaiml-sft-horror-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chaiml-chaiml-sft-horror-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-chaiml-sft-horror-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-chaiml-sft-horror-v2-mkmlizer: ║       /___/                                                         ║
chaiml-chaiml-sft-horror-v2-mkmlizer: ║                                                                     ║
chaiml-chaiml-sft-horror-v2-mkmlizer: ║  Version: 0.11.12                                                   ║
chaiml-chaiml-sft-horror-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-chaiml-sft-horror-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-chaiml-sft-horror-v2-mkmlizer: ║                                                                     ║
chaiml-chaiml-sft-horror-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-chaiml-sft-horror-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-chaiml-sft-horror-v2-mkmlizer: ║                                                                     ║
chaiml-chaiml-sft-horror-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-chaiml-sft-horror-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-chaiml-sft-horror-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
chaiml-chaiml-sft-horror-v2-mkmlizer: ║                                                                     ║
chaiml-chaiml-sft-horror-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-chaiml-sft-horror-v2-mkmlizer: Downloaded to shared memory in 64.795s
chaiml-chaiml-sft-horror-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpp86pyzgl, device:0
chaiml-chaiml-sft-horror-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-chaiml-sft-horror-v2-mkmlizer: quantized model in 40.183s
chaiml-chaiml-sft-horror-v2-mkmlizer: Processed model ChaiML/chaiml-sft-horror in 104.978s
chaiml-chaiml-sft-horror-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-chaiml-sft-horror-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-chaiml-sft-horror-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-chaiml-sft-horror-v2
chaiml-chaiml-sft-horror-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-chaiml-sft-horror-v2/config.json
chaiml-chaiml-sft-horror-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-chaiml-sft-horror-v2/special_tokens_map.json
chaiml-chaiml-sft-horror-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-chaiml-sft-horror-v2/tokenizer_config.json
chaiml-chaiml-sft-horror-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-chaiml-sft-horror-v2/tokenizer.json
chaiml-chaiml-sft-horror-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-chaiml-sft-horror-v2/flywheel_model.0.safetensors
chaiml-chaiml-sft-horror-v2-mkmlizer: 
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Job chaiml-chaiml-sft-horror-v2-mkmlizer completed after 128.42s with status: succeeded
Stopping job with name chaiml-chaiml-sft-horror-v2-mkmlizer
Pipeline stage MKMLizer completed in 131.40s
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Creating inference service chaiml-chaiml-sft-horror-v2
Waiting for inference service chaiml-chaiml-sft-horror-v2 to be ready
Inference service chaiml-chaiml-sft-horror-v2 ready after 40.65250205993652s
Pipeline stage MKMLDeployer completed in 42.15s
run pipeline stage %s
Running pipeline stage StressChecker
HTTP Request: %s %s "%s %d %s"
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Received healthy response to inference request in 1.9418690204620361s
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Received healthy response to inference request in 2.0844907760620117s
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Received healthy response to inference request in 1.7121562957763672s
5 requests
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5th percentile: 1.758098840713501
10th percentile: 1.8040413856506348
20th percentile: 1.8959264755249023
30th percentile: 1.9703933715820312
40th percentile: 2.0274420738220216
50th percentile: 2.0844907760620117
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70th percentile: 2.1230436325073243
80th percentile: 2.3314834117889407
90th percentile: 2.7290865421295165
95th percentile: 2.9278881072998044
99th percentile: 3.086929359436035
mean time: 2.199577522277832
Pipeline stage StressChecker completed in 13.44s
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Creating inference service chaiml-chaiml-sft-horror-v2-profiler
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Inference service chaiml-chaiml-sft-horror-v2-profiler ready after 190.4801106452942s
Pipeline stage MKMLProfilerDeployer completed in 190.86s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-chaiml-sft-horror-v2-profiler-predictor-00001-deplo8z4bv:/code/chaiverse_profiler_1726612514 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-chaiml-sft-horror-v2-profiler-predictor-00001-deplo8z4bv --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726612514 && 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_1726612514/summary.json'
kubectl exec -it chaiml-chaiml-sft-horror-v2-profiler-predictor-00001-deplo8z4bv --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726612514/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1176.99s
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Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-chaiml-sft-horror-v2-profiler is running
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Pipeline stage MKMLizer completed in 0.19s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-chaiml-sft-horror-v2
Waiting for inference service chaiml-chaiml-sft-horror-v2 to be ready
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Creating inference service chaiml-chaiml-sft-horror-v2
Ignoring service chaiml-chaiml-sft-horror-v2 already deployed
Waiting for inference service chaiml-chaiml-sft-horror-v2 to be ready
Inference service chaiml-chaiml-sft-horror-v2 ready after 10.560009002685547s
Pipeline stage MKMLDeployer completed in 11.93s
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