submission_id: ebony59-chaiml-stf-horror_v1
developer_uid: ebony
alignment_samples: 13900
alignment_score: -0.5181775719734553
best_of: 4
celo_rating: 1246.81
display_name: ebony-horror-sft
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': 4, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: ebony59/chaiml-stf-horror
latencies: [{'batch_size': 1, 'throughput': 0.6341547624683925, 'latency_mean': 1.5768425416946412, 'latency_p50': 1.5735410451889038, 'latency_p90': 1.7428438425064088}, {'batch_size': 3, 'throughput': 1.2525718660481637, 'latency_mean': 2.3899712312221526, 'latency_p50': 2.3856714963912964, 'latency_p90': 2.59172637462616}, {'batch_size': 5, 'throughput': 1.5458540392135542, 'latency_mean': 3.219458673000336, 'latency_p50': 3.225634455680847, 'latency_p90': 3.655277943611145}, {'batch_size': 6, 'throughput': 1.6450274235101316, 'latency_mean': 3.6290226662158966, 'latency_p50': 3.6478666067123413, 'latency_p90': 4.084748268127441}, {'batch_size': 8, 'throughput': 1.7524390029033938, 'latency_mean': 4.5377522671222685, 'latency_p50': 4.522227644920349, 'latency_p90': 5.1873635053634635}, {'batch_size': 10, 'throughput': 1.8011077005768208, 'latency_mean': 5.512294340133667, 'latency_p50': 5.52949321269989, 'latency_p90': 6.240738248825073}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: ebony59/chaiml-stf-horro
model_name: ebony-horror-sft
model_num_parameters: 12772070400.0
model_repo: ebony59/chaiml-stf-horror
model_size: 13B
num_battles: 13899
num_wins: 7082
propriety_score: 0.7381974248927039
propriety_total_count: 1165.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.66
timestamp: 2024-09-04T23:21:26+00:00
us_pacific_date: 2024-09-04
win_ratio: 0.5095330599323692
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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 ebony59-chaiml-stf-horror-v1-mkmlizer
Waiting for job on ebony59-chaiml-stf-horror-v1-mkmlizer to finish
ebony59-chaiml-stf-horror-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
ebony59-chaiml-stf-horror-v1-mkmlizer: ║ _____ __ __ ║
ebony59-chaiml-stf-horror-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
ebony59-chaiml-stf-horror-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
ebony59-chaiml-stf-horror-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
ebony59-chaiml-stf-horror-v1-mkmlizer: ║ /___/ ║
ebony59-chaiml-stf-horror-v1-mkmlizer: ║ ║
ebony59-chaiml-stf-horror-v1-mkmlizer: ║ Version: 0.10.1 ║
ebony59-chaiml-stf-horror-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
ebony59-chaiml-stf-horror-v1-mkmlizer: ║ https://mk1.ai ║
ebony59-chaiml-stf-horror-v1-mkmlizer: ║ ║
ebony59-chaiml-stf-horror-v1-mkmlizer: ║ The license key for the current software has been verified as ║
ebony59-chaiml-stf-horror-v1-mkmlizer: ║ belonging to: ║
ebony59-chaiml-stf-horror-v1-mkmlizer: ║ ║
ebony59-chaiml-stf-horror-v1-mkmlizer: ║ Chai Research Corp. ║
ebony59-chaiml-stf-horror-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
ebony59-chaiml-stf-horror-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
ebony59-chaiml-stf-horror-v1-mkmlizer: ║ ║
ebony59-chaiml-stf-horror-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
ebony59-chaiml-stf-horror-v1-mkmlizer: Downloaded to shared memory in 124.830s
ebony59-chaiml-stf-horror-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp3iu2nojw, device:0
ebony59-chaiml-stf-horror-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
ebony59-chaiml-stf-horror-v1-mkmlizer: quantized model in 40.928s
ebony59-chaiml-stf-horror-v1-mkmlizer: Processed model ebony59/chaiml-stf-horror in 165.759s
ebony59-chaiml-stf-horror-v1-mkmlizer: creating bucket guanaco-mkml-models
ebony59-chaiml-stf-horror-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
ebony59-chaiml-stf-horror-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/ebony59-chaiml-stf-horror-v1
ebony59-chaiml-stf-horror-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/ebony59-chaiml-stf-horror-v1/config.json
ebony59-chaiml-stf-horror-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/ebony59-chaiml-stf-horror-v1/special_tokens_map.json
ebony59-chaiml-stf-horror-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/ebony59-chaiml-stf-horror-v1/tokenizer_config.json
ebony59-chaiml-stf-horror-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/ebony59-chaiml-stf-horror-v1/tokenizer.json
ebony59-chaiml-stf-horror-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/ebony59-chaiml-stf-horror-v1/flywheel_model.0.safetensors
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Job ebony59-chaiml-stf-horror-v1-mkmlizer completed after 188.68s with status: succeeded
Stopping job with name ebony59-chaiml-stf-horror-v1-mkmlizer
Pipeline stage MKMLizer completed in 190.35s
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Pipeline stage MKMLTemplater completed in 0.08s
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Running pipeline stage MKMLDeployer
Creating inference service ebony59-chaiml-stf-horror-v1
Waiting for inference service ebony59-chaiml-stf-horror-v1 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service ebony59-chaiml-stf-horror-v1 ready after 141.37941241264343s
Pipeline stage MKMLDeployer completed in 141.79s
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Running pipeline stage StressChecker
Received healthy response to inference request in 3.4095020294189453s
Received healthy response to inference request in 2.53059983253479s
Received healthy response to inference request in 2.023989200592041s
Received healthy response to inference request in 2.0382895469665527s
Received healthy response to inference request in 2.1189568042755127s
5 requests
0 failed requests
5th percentile: 2.0268492698669434
10th percentile: 2.0297093391418457
20th percentile: 2.0354294776916504
30th percentile: 2.0544229984283446
40th percentile: 2.086689901351929
50th percentile: 2.1189568042755127
60th percentile: 2.2836140155792237
70th percentile: 2.4482712268829343
80th percentile: 2.7063802719116214
90th percentile: 3.0579411506652834
95th percentile: 3.233721590042114
99th percentile: 3.374345941543579
mean time: 2.4242674827575685
Pipeline stage StressChecker completed in 12.79s
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Running pipeline stage TriggerMKMLProfilingPipeline
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starting trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 5.14s
Shutdown handler de-registered
ebony59-chaiml-stf-horror_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.14s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.10s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service ebony59-chaiml-stf-horror-v1-profiler
Waiting for inference service ebony59-chaiml-stf-horror-v1-profiler to be ready
Inference service ebony59-chaiml-stf-horror-v1-profiler ready after 140.33223247528076s
Pipeline stage MKMLProfilerDeployer completed in 140.69s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/ebony59-chaiml-stf-h84ec98dddbca1beff40aa72dc09b9e55-deplo6gnfk:/code/chaiverse_profiler_1725492618 --namespace tenant-chaiml-guanaco
kubectl exec -it ebony59-chaiml-stf-h84ec98dddbca1beff40aa72dc09b9e55-deplo6gnfk --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725492618 && 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_1725492618/summary.json'
kubectl exec -it ebony59-chaiml-stf-h84ec98dddbca1beff40aa72dc09b9e55-deplo6gnfk --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725492618/summary.json'
Pipeline stage MKMLProfilerRunner completed in 956.18s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service ebony59-chaiml-stf-horror-v1-profiler is running
Tearing down inference service ebony59-chaiml-stf-horror-v1-profiler
Service ebony59-chaiml-stf-horror-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.60s
Shutdown handler de-registered
ebony59-chaiml-stf-horror_v1 status is now inactive due to auto deactivation removed underperforming models

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