submission_id: sao10k-l3-1-70b-euryale-v2-2_v3
developer_uid: sao10k
alignment_samples: 12073
alignment_score: 0.08595064144047113
best_of: 4
celo_rating: 1213.82
display_name: Euryale-2-2
formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 1.2, 'top_p': 1.0, 'min_p': 0.2, 'top_k': 50, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n\n', '<|eot_id|>', '\n\n{user_name}', '\nYou:', '<|end_header_id|>'], 'max_input_tokens': 512, 'best_of': 4, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
is_internal_developer: False
language_model: Sao10K/L3.1-70B-Euryale-v2.2
latencies: [{'batch_size': 1, 'throughput': 0.2551639158872868, 'latency_mean': 3.9189808440208433, 'latency_p50': 3.9153494834899902, 'latency_p90': 4.405782341957092}, {'batch_size': 2, 'throughput': 0.42185418961230436, 'latency_mean': 4.73183181643486, 'latency_p50': 4.731370449066162, 'latency_p90': 5.1959697008132935}, {'batch_size': 3, 'throughput': 0.5857787817918481, 'latency_mean': 5.105616089105606, 'latency_p50': 5.136043906211853, 'latency_p90': 5.679355621337891}, {'batch_size': 5, 'throughput': 0.8176894377439694, 'latency_mean': 6.080126110315323, 'latency_p50': 6.088163495063782, 'latency_p90': 6.874270892143249}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: Sao10K/L3.1-70B-Euryale-
model_name: Euryale-2-2
model_num_parameters: 70553706496.0
model_repo: Sao10K/L3.1-70B-Euryale-v2.2
model_size: 71B
num_battles: 12072
num_wins: 5584
propriety_score: 0.7422096317280453
propriety_total_count: 1059.0
ranking_group: single
status: inactive
submission_type: basic
timestamp: 2024-09-05T13:39:19+00:00
us_pacific_date: 2024-09-05
win_ratio: 0.4625579854208085
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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 sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer
Waiting for job on sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer to finish
sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: ║ _____ __ __ ║
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sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: ║ /___/ ║
sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: ║ ║
sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: ║ Version: 0.10.1 ║
sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: ║ https://mk1.ai ║
sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: ║ ║
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sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: ║ belonging to: ║
sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: ║ ║
sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: ║ Chai Research Corp. ║
sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: ║ ║
sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Retrying (%r) after connection broken by '%r': %s
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sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: Downloaded to shared memory in 278.361s
sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpxpf9rlfs, device:0
sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: quantized model in 136.721s
sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: Processed model Sao10K/L3.1-70B-Euryale-v2.2 in 415.083s
sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: creating bucket guanaco-mkml-models
sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sao10k-l3-1-70b-euryale-v2-2-v3
sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sao10k-l3-1-70b-euryale-v2-2-v3/config.json
sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sao10k-l3-1-70b-euryale-v2-2-v3/special_tokens_map.json
sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sao10k-l3-1-70b-euryale-v2-2-v3/tokenizer_config.json
sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sao10k-l3-1-70b-euryale-v2-2-v3/tokenizer.json
Connection pool is full, discarding connection: %s. Connection pool size: %s
sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.5.safetensors s3://guanaco-mkml-models/sao10k-l3-1-70b-euryale-v2-2-v3/flywheel_model.5.safetensors
sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/sao10k-l3-1-70b-euryale-v2-2-v3/flywheel_model.0.safetensors
sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/sao10k-l3-1-70b-euryale-v2-2-v3/flywheel_model.1.safetensors
sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/sao10k-l3-1-70b-euryale-v2-2-v3/flywheel_model.3.safetensors
sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/sao10k-l3-1-70b-euryale-v2-2-v3/flywheel_model.2.safetensors
sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.4.safetensors s3://guanaco-mkml-models/sao10k-l3-1-70b-euryale-v2-2-v3/flywheel_model.4.safetensors
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Job sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer completed after 458.78s with status: succeeded
Stopping job with name sao10k-l3-1-70b-euryale-v2-2-v3-mkmlizer
Pipeline stage MKMLizer completed in 459.56s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.08s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service sao10k-l3-1-70b-euryale-v2-2-v3
Waiting for inference service sao10k-l3-1-70b-euryale-v2-2-v3 to be ready
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Inference service sao10k-l3-1-70b-euryale-v2-2-v3 ready after 150.77432107925415s
Pipeline stage MKMLDeployer completed in 151.12s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 4.366315841674805s
Received healthy response to inference request in 3.7137362957000732s
Received healthy response to inference request in 4.710857391357422s
Connection pool is full, discarding connection: %s. Connection pool size: %s
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Received healthy response to inference request in 4.772606611251831s
Received healthy response to inference request in 4.48086142539978s
5 requests
0 failed requests
5th percentile: 3.8442522048950196
10th percentile: 3.974768114089966
Failed to get response for submission blend_nemek_2024-08-22: ('http://zonemercy-lexical-nemo-1518-v18-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:44856->127.0.0.1:8080: read: connection reset by peer\n')
20th percentile: 4.235799932479859
30th percentile: 4.3892249584198
40th percentile: 4.43504319190979
50th percentile: 4.48086142539978
60th percentile: 4.572859811782837
70th percentile: 4.664858198165893
80th percentile: 4.723207235336304
90th percentile: 4.747906923294067
95th percentile: 4.760256767272949
99th percentile: 4.7701366424560545
mean time: 4.408875513076782
Pipeline stage StressChecker completed in 23.31s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
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starting trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 5.33s
Shutdown handler de-registered
sao10k-l3-1-70b-euryale-v2-2_v3 status is now deployed due to DeploymentManager action
Shutdown handler registered
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run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service sao10k-l3-1-70b-euryale-v2-2-v3-profiler
Waiting for inference service sao10k-l3-1-70b-euryale-v2-2-v3-profiler to be ready
Inference service sao10k-l3-1-70b-euryale-v2-2-v3-profiler ready after 150.35240864753723s
Pipeline stage MKMLProfilerDeployer completed in 150.75s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/sao10k-l3-1-70b-eurycf96ed3fba59c012d6cbc34a36464167-deploxn8zz:/code/chaiverse_profiler_1725544398 --namespace tenant-chaiml-guanaco
kubectl exec -it sao10k-l3-1-70b-eurycf96ed3fba59c012d6cbc34a36464167-deploxn8zz --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725544398 && 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 512 --output_tokens 64 --summary /code/chaiverse_profiler_1725544398/summary.json'
kubectl exec -it sao10k-l3-1-70b-eurycf96ed3fba59c012d6cbc34a36464167-deploxn8zz --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725544398/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1853.72s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service sao10k-l3-1-70b-euryale-v2-2-v3-profiler is running
Tearing down inference service sao10k-l3-1-70b-euryale-v2-2-v3-profiler
Service sao10k-l3-1-70b-euryale-v2-2-v3-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.62s
Shutdown handler de-registered
sao10k-l3-1-70b-euryale-v2-2_v3 status is now inactive due to auto deactivation removed underperforming models

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