submission_id: jellywibble-mistralsmall_v1
developer_uid: Jellywibble
best_of: 8
celo_rating: 1237.69
display_name: mistral-small-1kctx
family_friendly_score: 0.0
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A6000': 1}
is_internal_developer: True
language_model: Jellywibble/MistralSmall
latencies: [{'batch_size': 1, 'throughput': 0.38328483953463505, 'latency_mean': 2.608964545726776, 'latency_p50': 2.6147570610046387, 'latency_p90': 2.8817896604537965}, {'batch_size': 2, 'throughput': 0.6024949097502686, 'latency_mean': 3.313030403852463, 'latency_p50': 3.3080140352249146, 'latency_p90': 3.663378357887268}, {'batch_size': 3, 'throughput': 0.7664052304195366, 'latency_mean': 3.9074612295627595, 'latency_p50': 3.8864835500717163, 'latency_p90': 4.296128535270691}, {'batch_size': 4, 'throughput': 0.8912765795632683, 'latency_mean': 4.4689510679244995, 'latency_p50': 4.406752109527588, 'latency_p90': 4.98387885093689}, {'batch_size': 5, 'throughput': 0.9668830202618485, 'latency_mean': 5.145017675161362, 'latency_p50': 5.152619957923889, 'latency_p90': 5.810542464256287}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: Jellywibble/MistralSmall
model_name: mistral-small-1kctx
model_num_parameters: 22247282688.0
model_repo: Jellywibble/MistralSmall
model_size: 22B
num_battles: 256565
num_wins: 124709
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 0.72
timestamp: 2024-09-22T01:10:15+00:00
us_pacific_date: 2024-09-21
win_ratio: 0.4860717556954378
Download Preference Data
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 jellywibble-mistralsmall-v1-mkmlizer
Waiting for job on jellywibble-mistralsmall-v1-mkmlizer to finish
jellywibble-mistralsmall-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jellywibble-mistralsmall-v1-mkmlizer: ║     _____            __           __                                ║
jellywibble-mistralsmall-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
jellywibble-mistralsmall-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
jellywibble-mistralsmall-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
jellywibble-mistralsmall-v1-mkmlizer: ║       /___/                                                         ║
jellywibble-mistralsmall-v1-mkmlizer: ║                                                                     ║
jellywibble-mistralsmall-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
jellywibble-mistralsmall-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
jellywibble-mistralsmall-v1-mkmlizer: ║  https://mk1.ai                                                     ║
jellywibble-mistralsmall-v1-mkmlizer: ║                                                                     ║
jellywibble-mistralsmall-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
jellywibble-mistralsmall-v1-mkmlizer: ║  belonging to:                                                      ║
jellywibble-mistralsmall-v1-mkmlizer: ║                                                                     ║
jellywibble-mistralsmall-v1-mkmlizer: ║  Chai Research Corp.                                                ║
jellywibble-mistralsmall-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
jellywibble-mistralsmall-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
jellywibble-mistralsmall-v1-mkmlizer: ║                                                                     ║
jellywibble-mistralsmall-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jellywibble-mistralsmall-v1-mkmlizer: Downloaded to shared memory in 84.648s
jellywibble-mistralsmall-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpm4p6l5jg, device:0
jellywibble-mistralsmall-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
jellywibble-mistralsmall-v1-mkmlizer: quantized model in 43.518s
jellywibble-mistralsmall-v1-mkmlizer: Processed model Jellywibble/MistralSmall in 128.167s
jellywibble-mistralsmall-v1-mkmlizer: creating bucket guanaco-mkml-models
jellywibble-mistralsmall-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jellywibble-mistralsmall-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jellywibble-mistralsmall-v1
jellywibble-mistralsmall-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jellywibble-mistralsmall-v1/special_tokens_map.json
jellywibble-mistralsmall-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jellywibble-mistralsmall-v1/config.json
jellywibble-mistralsmall-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jellywibble-mistralsmall-v1/tokenizer_config.json
jellywibble-mistralsmall-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jellywibble-mistralsmall-v1/tokenizer.json
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jellywibble-mistralsmall-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/jellywibble-mistralsmall-v1/flywheel_model.1.safetensors
jellywibble-mistralsmall-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jellywibble-mistralsmall-v1/flywheel_model.0.safetensors
jellywibble-mistralsmall-v1-mkmlizer: 
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Job jellywibble-mistralsmall-v1-mkmlizer completed after 157.78s with status: succeeded
Stopping job with name jellywibble-mistralsmall-v1-mkmlizer
Pipeline stage MKMLizer completed in 159.67s
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 jellywibble-mistralsmall-v1
Waiting for inference service jellywibble-mistralsmall-v1 to be ready
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Failed to get response for submission zonemercy-lexical-nemov8_5966_v2: ('http://zonemercy-lexical-nemov8-5966-v2-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\')]"}')
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Inference service jellywibble-mistralsmall-v1 ready after 362.3915650844574s
Pipeline stage MKMLDeployer completed in 362.82s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.9552969932556152s
Received healthy response to inference request in 2.75495982170105s
Received healthy response to inference request in 2.732403516769409s
Received healthy response to inference request in 2.884383201599121s
Received healthy response to inference request in 2.6916086673736572s
5 requests
0 failed requests
5th percentile: 2.6997676372528074
10th percentile: 2.707926607131958
20th percentile: 2.724244546890259
30th percentile: 2.736914777755737
40th percentile: 2.7459372997283937
50th percentile: 2.75495982170105
60th percentile: 2.8067291736602784
70th percentile: 2.858498525619507
80th percentile: 2.89856595993042
90th percentile: 2.9269314765930177
95th percentile: 2.9411142349243162
99th percentile: 2.9524604415893556
mean time: 2.8037304401397707
Pipeline stage StressChecker completed in 15.03s
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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 6.25s
Shutdown handler de-registered
jellywibble-mistralsmall_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 0.15s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.13s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service jellywibble-mistralsmall-v1-profiler
Waiting for inference service jellywibble-mistralsmall-v1-profiler to be ready
Inference service jellywibble-mistralsmall-v1-profiler ready after 190.45357871055603s
Pipeline stage MKMLProfilerDeployer completed in 190.85s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/jellywibble-mistralsmall-v1-profiler-predictor-00001-deplovv8hq:/code/chaiverse_profiler_1726968194 --namespace tenant-chaiml-guanaco
kubectl exec -it jellywibble-mistralsmall-v1-profiler-predictor-00001-deplovv8hq --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726968194 && 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_1726968194/summary.json'
kubectl exec -it jellywibble-mistralsmall-v1-profiler-predictor-00001-deplovv8hq --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726968194/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1551.23s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service jellywibble-mistralsmall-v1-profiler is running
Tearing down inference service jellywibble-mistralsmall-v1-profiler
Service jellywibble-mistralsmall-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.99s
Shutdown handler de-registered
jellywibble-mistralsmall_v1 status is now inactive due to auto deactivation removed underperforming models
Shutdown handler not registered because Python interpreter is not running in the main thread
Running pipeline stage MKMLDeleter
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