submission_id: chaiml-horror-sft-v1-1e5_v3
developer_uid: Jellywibble
alignment_samples: 15151
alignment_score: 1.1246339385373687
best_of: 4
celo_rating: 1190.19
display_name: chaiml-horror-sft-v1-1e5_v1
formatter: {'memory_template': 'You are roleplaying as {bot_name}. Make the conversation as haunting and scary as possible.', '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': 0.6439004918789899, 'latency_mean': 1.5529720377922058, 'latency_p50': 1.5443166494369507, 'latency_p90': 1.7258992195129395}, {'batch_size': 3, 'throughput': 1.2533324809059008, 'latency_mean': 2.387554620504379, 'latency_p50': 2.380608558654785, 'latency_p90': 2.6616236686706545}, {'batch_size': 5, 'throughput': 1.5541343095721654, 'latency_mean': 3.205628567934036, 'latency_p50': 3.21474027633667, 'latency_p90': 3.5692161560058593}, {'batch_size': 6, 'throughput': 1.644124159553405, 'latency_mean': 3.6351654422283173, 'latency_p50': 3.634398341178894, 'latency_p90': 4.16657567024231}, {'batch_size': 8, 'throughput': 1.7612997503794714, 'latency_mean': 4.518431408405304, 'latency_p50': 4.505518794059753, 'latency_p90': 5.067188501358032}, {'batch_size': 10, 'throughput': 1.785383951596837, 'latency_mean': 5.551596248149872, 'latency_p50': 5.581492900848389, 'latency_p90': 6.291207909584045}]
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: 15150
num_wins: 6696
propriety_score: 0.7269345238095238
propriety_total_count: 1344.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.66
timestamp: 2024-09-05T21:47:24+00:00
us_pacific_date: 2024-09-05
win_ratio: 0.441980198019802
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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-v3-mkmlizer
Waiting for job on chaiml-horror-sft-v1-1e5-v3-mkmlizer to finish
Failed to get response for submission chaiml-horror-sft-v1-5e6_v5: ('http://chaiml-horror-sft-v1-5e6-v5-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:60998->127.0.0.1:8080: read: connection reset by peer\n')
chaiml-horror-sft-v1-1e5-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-horror-sft-v1-1e5-v3-mkmlizer: ║ _____ __ __ ║
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chaiml-horror-sft-v1-1e5-v3-mkmlizer: ║ ║
chaiml-horror-sft-v1-1e5-v3-mkmlizer: ║ Version: 0.10.1 ║
chaiml-horror-sft-v1-1e5-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-horror-sft-v1-1e5-v3-mkmlizer: ║ https://mk1.ai ║
chaiml-horror-sft-v1-1e5-v3-mkmlizer: ║ ║
chaiml-horror-sft-v1-1e5-v3-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-horror-sft-v1-1e5-v3-mkmlizer: ║ belonging to: ║
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chaiml-horror-sft-v1-1e5-v3-mkmlizer: ║ Chai Research Corp. ║
chaiml-horror-sft-v1-1e5-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-horror-sft-v1-1e5-v3-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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Failed to get response for submission blend_jerun_2024-08-22: ('http://chaiml-llama-8b-pairwis-8189-v19-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:57774->127.0.0.1:8080: read: connection reset by peer\n')
chaiml-horror-sft-v1-1e5-v3-mkmlizer: Downloaded to shared memory in 34.802s
chaiml-horror-sft-v1-1e5-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp46zvwo8_, device:0
chaiml-horror-sft-v1-1e5-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-horror-sft-v1-1e5-v3-mkmlizer: quantized model in 34.961s
chaiml-horror-sft-v1-1e5-v3-mkmlizer: Processed model ChaiML/Horror-SFT-v1-1e5 in 69.763s
chaiml-horror-sft-v1-1e5-v3-mkmlizer: creating bucket guanaco-mkml-models
chaiml-horror-sft-v1-1e5-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-horror-sft-v1-1e5-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-horror-sft-v1-1e5-v3
chaiml-horror-sft-v1-1e5-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-horror-sft-v1-1e5-v3/config.json
chaiml-horror-sft-v1-1e5-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-horror-sft-v1-1e5-v3/special_tokens_map.json
chaiml-horror-sft-v1-1e5-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-horror-sft-v1-1e5-v3/tokenizer_config.json
chaiml-horror-sft-v1-1e5-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-horror-sft-v1-1e5-v3/tokenizer.json
chaiml-horror-sft-v1-1e5-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-horror-sft-v1-1e5-v3/flywheel_model.0.safetensors
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Job chaiml-horror-sft-v1-1e5-v3-mkmlizer completed after 95.35s with status: succeeded
Stopping job with name chaiml-horror-sft-v1-1e5-v3-mkmlizer
Pipeline stage MKMLizer completed in 96.42s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.08s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-horror-sft-v1-1e5-v3
Waiting for inference service chaiml-horror-sft-v1-1e5-v3 to be ready
Inference service chaiml-horror-sft-v1-1e5-v3 ready after 150.67248964309692s
Pipeline stage MKMLDeployer completed in 151.12s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.2659106254577637s
Received healthy response to inference request in 1.7052738666534424s
Received healthy response to inference request in 1.7168998718261719s
Received healthy response to inference request in 1.8045399188995361s
Received healthy response to inference request in 1.8794808387756348s
5 requests
0 failed requests
5th percentile: 1.7075990676879882
10th percentile: 1.7099242687225342
20th percentile: 1.714574670791626
30th percentile: 1.7344278812408447
40th percentile: 1.7694839000701905
50th percentile: 1.8045399188995361
60th percentile: 1.8345162868499756
70th percentile: 1.864492654800415
80th percentile: 1.9567667961120607
90th percentile: 2.111338710784912
95th percentile: 2.1886246681213377
99th percentile: 2.2504534339904785
mean time: 1.8744210243225097
Pipeline stage StressChecker completed in 10.56s
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Running pipeline stage TriggerMKMLProfilingPipeline
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starting trigger_guanaco_pipeline args=%s
Failed to get response for submission blend_jerun_2024-08-22: ('http://chaiml-lexical-nemo-v4-1k1e5-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '{"error":"ValueError : [TypeError(\\"\'numpy.int64\' object is not iterable\\"), TypeError(\'vars() argument must have __dict__ attribute\')]"}')
Pipeline stage TriggerMKMLProfilingPipeline completed in 5.56s
Shutdown handler de-registered
chaiml-horror-sft-v1-1e5_v3 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
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-horror-sft-v1-1e5-v3-profiler
Waiting for inference service chaiml-horror-sft-v1-1e5-v3-profiler to be ready
Inference service chaiml-horror-sft-v1-1e5-v3-profiler ready after 150.35817623138428s
Pipeline stage MKMLProfilerDeployer completed in 150.70s
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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-v3-profiler-predictor-00001-deplovwncj:/code/chaiverse_profiler_1725573294 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-horror-sft-v1-1e5-v3-profiler-predictor-00001-deplovwncj --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725573294 && 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_1725573294/summary.json'
kubectl exec -it chaiml-horror-sft-v1-1e5-v3-profiler-predictor-00001-deplovwncj --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725573294/summary.json'
Pipeline stage MKMLProfilerRunner completed in 950.86s
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Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-horror-sft-v1-1e5-v3-profiler is running
Tearing down inference service chaiml-horror-sft-v1-1e5-v3-profiler
Service chaiml-horror-sft-v1-1e5-v3-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.76s
Shutdown handler de-registered
chaiml-horror-sft-v1-1e5_v3 status is now inactive due to auto deactivation removed underperforming models

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