ebony59-chaiml-stf-horror

submission_id: ebony59-chaiml-stf-horror_v2

developer_uid: ebony

best_of: 4

celo_rating: 1252.95

display_name: ebony-horror-sft

family_friendly_score: 0.0

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': 0.6325638779396898, 'latency_mean': 1.5808066785335542, 'latency_p50': 1.574309229850769, 'latency_p90': 1.74763023853302}, {'batch_size': 3, 'throughput': 1.2408407833040567, 'latency_mean': 2.412463448047638, 'latency_p50': 2.4105074405670166, 'latency_p90': 2.683424878120422}, {'batch_size': 5, 'throughput': 1.5177200220258262, 'latency_mean': 3.274671219587326, 'latency_p50': 3.270802855491638, 'latency_p90': 3.667153453826904}, {'batch_size': 6, 'throughput': 1.6206096624726096, 'latency_mean': 3.680826904773712, 'latency_p50': 3.711741328239441, 'latency_p90': 4.092496013641357}, {'batch_size': 8, 'throughput': 1.7253115624009536, 'latency_mean': 4.599041266441345, 'latency_p50': 4.618100047111511, 'latency_p90': 5.205662631988526}, {'batch_size': 10, 'throughput': 1.7711884059636895, 'latency_mean': 5.60046173453331, 'latency_p50': 5.573222517967224, 'latency_p90': 6.326556229591369}]

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: 10062

num_wins: 5178

ranking_group: single

status: torndown

submission_type: basic

throughput_3p7s: 1.63

timestamp: 2024-09-05T16:06:19+00:00

us_pacific_date: 2024-09-05

win_ratio: 0.5146094215861657

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 ebony59-chaiml-stf-horror-v2-mkmlizer
Waiting for job on ebony59-chaiml-stf-horror-v2-mkmlizer to finish
ebony59-chaiml-stf-horror-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
ebony59-chaiml-stf-horror-v2-mkmlizer: ║     _____            __           __                                ║
ebony59-chaiml-stf-horror-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
ebony59-chaiml-stf-horror-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
ebony59-chaiml-stf-horror-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
ebony59-chaiml-stf-horror-v2-mkmlizer: ║       /___/                                                         ║
ebony59-chaiml-stf-horror-v2-mkmlizer: ║                                                                     ║
ebony59-chaiml-stf-horror-v2-mkmlizer: ║  Version: 0.10.1                                                    ║
ebony59-chaiml-stf-horror-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
ebony59-chaiml-stf-horror-v2-mkmlizer: ║  https://mk1.ai                                                     ║
ebony59-chaiml-stf-horror-v2-mkmlizer: ║                                                                     ║
ebony59-chaiml-stf-horror-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
ebony59-chaiml-stf-horror-v2-mkmlizer: ║  belonging to:                                                      ║
ebony59-chaiml-stf-horror-v2-mkmlizer: ║                                                                     ║
ebony59-chaiml-stf-horror-v2-mkmlizer: ║  Chai Research Corp.                                                ║
ebony59-chaiml-stf-horror-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
ebony59-chaiml-stf-horror-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
ebony59-chaiml-stf-horror-v2-mkmlizer: ║                                                                     ║
ebony59-chaiml-stf-horror-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
ebony59-chaiml-stf-horror-v2-mkmlizer: Downloaded to shared memory in 63.527s
ebony59-chaiml-stf-horror-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp3go_vgn6, device:0
ebony59-chaiml-stf-horror-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
ebony59-chaiml-stf-horror-v2-mkmlizer: quantized model in 39.897s
ebony59-chaiml-stf-horror-v2-mkmlizer: Processed model ebony59/chaiml-stf-horror in 103.424s
ebony59-chaiml-stf-horror-v2-mkmlizer: creating bucket guanaco-mkml-models
ebony59-chaiml-stf-horror-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
ebony59-chaiml-stf-horror-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/ebony59-chaiml-stf-horror-v2
ebony59-chaiml-stf-horror-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/ebony59-chaiml-stf-horror-v2/config.json
ebony59-chaiml-stf-horror-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/ebony59-chaiml-stf-horror-v2/special_tokens_map.json
ebony59-chaiml-stf-horror-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/ebony59-chaiml-stf-horror-v2/tokenizer_config.json
ebony59-chaiml-stf-horror-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/ebony59-chaiml-stf-horror-v2/tokenizer.json
ebony59-chaiml-stf-horror-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/ebony59-chaiml-stf-horror-v2/flywheel_model.0.safetensors
ebony59-chaiml-stf-horror-v2-mkmlizer: 
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Job ebony59-chaiml-stf-horror-v2-mkmlizer completed after 125.93s with status: succeeded
Stopping job with name ebony59-chaiml-stf-horror-v2-mkmlizer
Pipeline stage MKMLizer completed in 126.94s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.09s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service ebony59-chaiml-stf-horror-v2
Waiting for inference service ebony59-chaiml-stf-horror-v2 to be ready
Inference service ebony59-chaiml-stf-horror-v2 ready after 150.45632410049438s
Pipeline stage MKMLDeployer completed in 150.91s
run pipeline stage %s
Running pipeline stage StressChecker
Connection pool is full, discarding connection: %s. Connection pool size: %s
Received healthy response to inference request in 2.4372549057006836s
Received healthy response to inference request in 1.9042818546295166s
Received healthy response to inference request in 2.214421510696411s
Received healthy response to inference request in 2.5554375648498535s
Received healthy response to inference request in 2.5242180824279785s
5 requests
0 failed requests
5th percentile: 1.9663097858428955
10th percentile: 2.0283377170562744
20th percentile: 2.1523935794830322
30th percentile: 2.2589881896972654
40th percentile: 2.3481215476989745
50th percentile: 2.4372549057006836
60th percentile: 2.4720401763916016
70th percentile: 2.5068254470825195
80th percentile: 2.5304619789123537
90th percentile: 2.5429497718811036
95th percentile: 2.5491936683654783
99th percentile: 2.5541887855529786
mean time: 2.3271227836608888
Pipeline stage StressChecker completed in 12.62s
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Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 5.86s
Shutdown handler de-registered
ebony59-chaiml-stf-horror_v2 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.13s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service ebony59-chaiml-stf-horror-v2-profiler
Waiting for inference service ebony59-chaiml-stf-horror-v2-profiler to be ready
Inference service ebony59-chaiml-stf-horror-v2-profiler ready after 140.32353019714355s
Pipeline stage MKMLProfilerDeployer completed in 140.70s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/ebony59-chaiml-stf-hac90b9e250d58b86bf92b22b928add7f-deplol97dn:/code/chaiverse_profiler_1725553013 --namespace tenant-chaiml-guanaco
kubectl exec -it ebony59-chaiml-stf-hac90b9e250d58b86bf92b22b928add7f-deplol97dn --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725553013 && 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_1725553013/summary.json'
kubectl exec -it ebony59-chaiml-stf-hac90b9e250d58b86bf92b22b928add7f-deplol97dn --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725553013/summary.json'
Pipeline stage MKMLProfilerRunner completed in 966.98s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service ebony59-chaiml-stf-horror-v2-profiler is running
Tearing down inference service ebony59-chaiml-stf-horror-v2-profiler
Service ebony59-chaiml-stf-horror-v2-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.81s
Shutdown handler de-registered
ebony59-chaiml-stf-horror_v2 status is now inactive due to auto deactivation removed underperforming models
ebony59-chaiml-stf-horror_v2 status is now torndown due to DeploymentManager action