developer_uid: shiroe40
submission_id: cycy233-l3-e-v0-c4_v5
model_name: auto
model_group: cycy233/L3-e-v0-c4
status: torndown
timestamp: 2024-09-13T09:40:28+00:00
num_battles: 10625
num_wins: 4356
celo_rating: 1179.75
family_friendly_score: 0.0
submission_type: basic
model_repo: cycy233/L3-e-v0-c4
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.8663907436250502, 'latency_mean': 1.1541121566295625, 'latency_p50': 1.1599769592285156, 'latency_p90': 1.2788099288940429}, {'batch_size': 4, 'throughput': 1.8629856282786228, 'latency_mean': 2.141804404258728, 'latency_p50': 2.1291595697402954, 'latency_p90': 2.368330383300781}, {'batch_size': 5, 'throughput': 2.0091297310518987, 'latency_mean': 2.469928251504898, 'latency_p50': 2.446678638458252, 'latency_p90': 2.8176519155502318}, {'batch_size': 8, 'throughput': 2.217021256835885, 'latency_mean': 3.5917831575870514, 'latency_p50': 3.5784378051757812, 'latency_p90': 4.0082594871521}, {'batch_size': 10, 'throughput': 2.2612015994324137, 'latency_mean': 4.389200258255005, 'latency_p50': 4.386540055274963, 'latency_p90': 4.966599082946777}, {'batch_size': 12, 'throughput': 2.3201553497495326, 'latency_mean': 5.129438992738724, 'latency_p50': 5.158488154411316, 'latency_p90': 5.854466533660888}, {'batch_size': 15, 'throughput': 2.30429754185752, 'latency_mean': 6.414686115980149, 'latency_p50': 6.410224080085754, 'latency_p90': 7.142131376266479}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: auto
is_internal_developer: False
language_model: cycy233/L3-e-v0-c4
model_size: 8B
ranking_group: single
throughput_3p7s: 2.24
us_pacific_date: 2024-09-13
win_ratio: 0.4099764705882353
generation_params: {'temperature': 0.95, 'top_p': 1.0, 'min_p': 0.08, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['<|end_header_id|>', '<|eot_id|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
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}
Resubmit model
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Running pipeline stage MKMLizer
Starting job with name cycy233-l3-e-v0-c4-v5-mkmlizer
Waiting for job on cycy233-l3-e-v0-c4-v5-mkmlizer to finish
cycy233-l3-e-v0-c4-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-e-v0-c4-v5-mkmlizer: ║ _____ __ __ ║
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cycy233-l3-e-v0-c4-v5-mkmlizer: ║ /___/ ║
cycy233-l3-e-v0-c4-v5-mkmlizer: ║ ║
cycy233-l3-e-v0-c4-v5-mkmlizer: ║ Version: 0.10.1 ║
cycy233-l3-e-v0-c4-v5-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-e-v0-c4-v5-mkmlizer: ║ https://mk1.ai ║
cycy233-l3-e-v0-c4-v5-mkmlizer: ║ ║
cycy233-l3-e-v0-c4-v5-mkmlizer: ║ The license key for the current software has been verified as ║
cycy233-l3-e-v0-c4-v5-mkmlizer: ║ belonging to: ║
cycy233-l3-e-v0-c4-v5-mkmlizer: ║ ║
cycy233-l3-e-v0-c4-v5-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-e-v0-c4-v5-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-e-v0-c4-v5-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
cycy233-l3-e-v0-c4-v5-mkmlizer: ║ ║
cycy233-l3-e-v0-c4-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-e-v0-c4-v5-mkmlizer: Downloaded to shared memory in 34.626s
cycy233-l3-e-v0-c4-v5-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpz53bhipm, device:0
cycy233-l3-e-v0-c4-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-e-v0-c4-v5-mkmlizer: quantized model in 25.809s
cycy233-l3-e-v0-c4-v5-mkmlizer: Processed model cycy233/L3-e-v0-c4 in 60.435s
cycy233-l3-e-v0-c4-v5-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-e-v0-c4-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-e-v0-c4-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-e-v0-c4-v5
cycy233-l3-e-v0-c4-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-e-v0-c4-v5/config.json
cycy233-l3-e-v0-c4-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-e-v0-c4-v5/special_tokens_map.json
cycy233-l3-e-v0-c4-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-e-v0-c4-v5/tokenizer_config.json
cycy233-l3-e-v0-c4-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-e-v0-c4-v5/tokenizer.json
cycy233-l3-e-v0-c4-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-e-v0-c4-v5/flywheel_model.0.safetensors
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Job cycy233-l3-e-v0-c4-v5-mkmlizer completed after 84.9s with status: succeeded
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Failed to get response for submission blend_fedek_2024-08-24: ('http://mistralai-mixtral-8x7b-3473-v131-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 cycy233-l3-e-v0-c4-v5 ready after 180.74123620986938s
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Received healthy response to inference request in 3.4006664752960205s
Received healthy response to inference request in 2.124845027923584s
Received healthy response to inference request in 2.9953441619873047s
Received healthy response to inference request in 1.963094711303711s
Received healthy response to inference request in 1.433678388595581s
5 requests
0 failed requests
5th percentile: 1.539561653137207
10th percentile: 1.645444917678833
20th percentile: 1.857211446762085
30th percentile: 1.9954447746276855
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50th percentile: 2.124845027923584
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70th percentile: 2.82124433517456
80th percentile: 3.076408624649048
90th percentile: 3.238537549972534
95th percentile: 3.3196020126342773
99th percentile: 3.3844535827636717
mean time: 2.38352575302124
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-l3-e-v0-c4-v5-profiler-predictor-00001-deployment-w6kwm:/code/chaiverse_profiler_1726220948 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-l3-e-v0-c4-v5-profiler-predictor-00001-deployment-w6kwm --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726220948 && 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_1726220948/summary.json'
kubectl exec -it cycy233-l3-e-v0-c4-v5-profiler-predictor-00001-deployment-w6kwm --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726220948/summary.json'
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