submission_id: chaiml-horror-sft-v1-1e5_v2
developer_uid: Jellywibble
alignment_samples: 11732
alignment_score: 1.2087846254031729
best_of: 4
celo_rating: 1188.5
display_name: chaiml-horror-sft-v1-1e5_v1
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\nMake the conversation as scary as possible while keep in character\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}[Extreme haunting edition]:', 'truncate_by_message': False}
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', 'You:', 'Bot:', 'User:'], 'max_input_tokens': 1024, 'best_of': 4, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: True
language_model: ChaiML/Horror-SFT-v1-1e5
latencies: [{'batch_size': 1, 'throughput': 0.6339560020383609, 'latency_mean': 1.5773007261753083, 'latency_p50': 1.584896206855774, 'latency_p90': 1.7415915250778198}, {'batch_size': 3, 'throughput': 1.2505438849227855, 'latency_mean': 2.3905843234062196, 'latency_p50': 2.3849830627441406, 'latency_p90': 2.718124771118164}, {'batch_size': 5, 'throughput': 1.5478382426919075, 'latency_mean': 3.2214650201797483, 'latency_p50': 3.2085649967193604, 'latency_p90': 3.6221929788589478}, {'batch_size': 6, 'throughput': 1.6382232542688622, 'latency_mean': 3.6361541044712067, 'latency_p50': 3.64145290851593, 'latency_p90': 4.105486917495727}, {'batch_size': 8, 'throughput': 1.7439658606960708, 'latency_mean': 4.554172867536545, 'latency_p50': 4.561453580856323, 'latency_p90': 5.1794490098953245}, {'batch_size': 10, 'throughput': 1.7800701397385132, 'latency_mean': 5.5715618681907655, 'latency_p50': 5.605347990989685, 'latency_p90': 6.210468864440918}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: ChaiML/Horror-SFT-v1-1e5
model_name: chaiml-horror-sft-v1-1e5_v1
model_num_parameters: 12772070400.0
model_repo: ChaiML/Horror-SFT-v1-1e5
model_size: 13B
num_battles: 11732
num_wins: 5150
propriety_score: 0.7438524590163934
propriety_total_count: 976.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.66
timestamp: 2024-09-05T21:46:38+00:00
us_pacific_date: 2024-09-05
win_ratio: 0.4389703375383566
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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-horror-sft-v1-1e5-v2-mkmlizer
Waiting for job on chaiml-horror-sft-v1-1e5-v2-mkmlizer to finish
chaiml-horror-sft-v1-1e5-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-horror-sft-v1-1e5-v2-mkmlizer: ║     _____            __           __                                ║
chaiml-horror-sft-v1-1e5-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chaiml-horror-sft-v1-1e5-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-horror-sft-v1-1e5-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-horror-sft-v1-1e5-v2-mkmlizer: ║       /___/                                                         ║
chaiml-horror-sft-v1-1e5-v2-mkmlizer: ║                                                                     ║
chaiml-horror-sft-v1-1e5-v2-mkmlizer: ║  Version: 0.10.1                                                    ║
chaiml-horror-sft-v1-1e5-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-horror-sft-v1-1e5-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-horror-sft-v1-1e5-v2-mkmlizer: ║                                                                     ║
chaiml-horror-sft-v1-1e5-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-horror-sft-v1-1e5-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-horror-sft-v1-1e5-v2-mkmlizer: ║                                                                     ║
chaiml-horror-sft-v1-1e5-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-horror-sft-v1-1e5-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-horror-sft-v1-1e5-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
chaiml-horror-sft-v1-1e5-v2-mkmlizer: ║                                                                     ║
chaiml-horror-sft-v1-1e5-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-horror-sft-v1-1e5-v2-mkmlizer: quantized model in 36.024s
chaiml-horror-sft-v1-1e5-v2-mkmlizer: Processed model ChaiML/Horror-SFT-v1-1e5 in 82.025s
chaiml-horror-sft-v1-1e5-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-horror-sft-v1-1e5-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-horror-sft-v1-1e5-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-horror-sft-v1-1e5-v2
chaiml-horror-sft-v1-1e5-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-horror-sft-v1-1e5-v2/special_tokens_map.json
chaiml-horror-sft-v1-1e5-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-horror-sft-v1-1e5-v2/config.json
chaiml-horror-sft-v1-1e5-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-horror-sft-v1-1e5-v2/tokenizer_config.json
chaiml-horror-sft-v1-1e5-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-horror-sft-v1-1e5-v2/tokenizer.json
chaiml-horror-sft-v1-1e5-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-horror-sft-v1-1e5-v2/flywheel_model.0.safetensors
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Job chaiml-horror-sft-v1-1e5-v2-mkmlizer completed after 104.35s with status: succeeded
Stopping job with name chaiml-horror-sft-v1-1e5-v2-mkmlizer
Pipeline stage MKMLizer completed in 105.54s
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Pipeline stage MKMLTemplater completed in 0.08s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-horror-sft-v1-1e5-v2
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Inference service chaiml-horror-sft-v1-1e5-v2 ready after 140.63617992401123s
Pipeline stage MKMLDeployer completed in 141.01s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.282550573348999s
Received healthy response to inference request in 1.90618896484375s
Received healthy response to inference request in 2.342844009399414s
Received healthy response to inference request in 2.619532823562622s
Received healthy response to inference request in 1.6746022701263428s
5 requests
0 failed requests
5th percentile: 1.7209196090698242
10th percentile: 1.7672369480133057
20th percentile: 1.8598716259002686
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70th percentile: 2.330785322189331
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90th percentile: 2.5088572978973387
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99th percentile: 2.608465270996094
mean time: 2.1651437282562256
Pipeline stage StressChecker completed in 12.17s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 4.36s
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chaiml-horror-sft-v1-1e5_v2 status is now deployed due to DeploymentManager action
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Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-horror-sft-v1-1e5-v2-profiler
Waiting for inference service chaiml-horror-sft-v1-1e5-v2-profiler to be ready
Inference service chaiml-horror-sft-v1-1e5-v2-profiler ready after 150.3464982509613s
Pipeline stage MKMLProfilerDeployer completed in 150.69s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-horror-sft-v1-1e5-v2-profiler-predictor-00001-deplo22c7p:/code/chaiverse_profiler_1725573248 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-horror-sft-v1-1e5-v2-profiler-predictor-00001-deplo22c7p --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725573248 && 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_1725573248/summary.json'
kubectl exec -it chaiml-horror-sft-v1-1e5-v2-profiler-predictor-00001-deplo22c7p --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725573248/summary.json'
Pipeline stage MKMLProfilerRunner completed in 959.22s
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Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-horror-sft-v1-1e5-v2-profiler is running
Tearing down inference service chaiml-horror-sft-v1-1e5-v2-profiler
Service chaiml-horror-sft-v1-1e5-v2-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.17s
Shutdown handler de-registered
chaiml-horror-sft-v1-1e5_v2 status is now inactive due to auto deactivation removed underperforming models

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