submission_id: cycy233-l3-p-v3-c2_v1
developer_uid: shiroe40
best_of: 16
celo_rating: 1248.28
display_name: auto
family_friendly_score: 0.0
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': 1.0, 'top_p': 0.9, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['<|end_header_id|>', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: cycy233/L3-p-v3-c2
latencies: [{'batch_size': 1, 'throughput': 0.9166097058735173, 'latency_mean': 1.0909196186065673, 'latency_p50': 1.0835354328155518, 'latency_p90': 1.220496654510498}, {'batch_size': 4, 'throughput': 1.803749086945087, 'latency_mean': 2.202493759393692, 'latency_p50': 2.1991108655929565, 'latency_p90': 2.4834691524505614}, {'batch_size': 5, 'throughput': 1.872833456969039, 'latency_mean': 2.661176736354828, 'latency_p50': 2.6759942770004272, 'latency_p90': 2.948690152168274}, {'batch_size': 8, 'throughput': 1.989615401514505, 'latency_mean': 3.9830085504055024, 'latency_p50': 4.0004249811172485, 'latency_p90': 4.463398575782776}, {'batch_size': 10, 'throughput': 2.030576857369683, 'latency_mean': 4.884818224906922, 'latency_p50': 4.8578221797943115, 'latency_p90': 5.661579728126526}, {'batch_size': 12, 'throughput': 2.033097405941681, 'latency_mean': 5.8173874306678774, 'latency_p50': 5.879382014274597, 'latency_p90': 6.809430265426635}, {'batch_size': 15, 'throughput': 2.037567059710806, 'latency_mean': 7.211131159067154, 'latency_p50': 7.293778777122498, 'latency_p90': 8.026742887496948}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cycy233/L3-p-v3-c2
model_name: auto
model_num_parameters: 8030261248.0
model_repo: cycy233/L3-p-v3-c2
model_size: 8B
num_battles: 11091
num_wins: 5617
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.99
timestamp: 2024-09-12T03:13:27+00:00
us_pacific_date: 2024-09-11
win_ratio: 0.5064466684699306
Resubmit model
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Starting job with name cycy233-l3-p-v3-c2-v1-mkmlizer
Waiting for job on cycy233-l3-p-v3-c2-v1-mkmlizer to finish
cycy233-l3-p-v3-c2-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-p-v3-c2-v1-mkmlizer: ║ _____ __ __ ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ║ /___/ ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ║ ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ║ Version: 0.10.1 ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ║ https://mk1.ai ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ║ ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ║ belonging to: ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ║ ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ║ ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-p-v3-c2-v1-mkmlizer: Downloaded to shared memory in 34.442s
cycy233-l3-p-v3-c2-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpykyv89ta, device:0
cycy233-l3-p-v3-c2-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-p-v3-c2-v1-mkmlizer: quantized model in 28.290s
cycy233-l3-p-v3-c2-v1-mkmlizer: Processed model cycy233/L3-p-v3-c2 in 62.732s
cycy233-l3-p-v3-c2-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-p-v3-c2-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-p-v3-c2-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-p-v3-c2-v1
cycy233-l3-p-v3-c2-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-p-v3-c2-v1/config.json
cycy233-l3-p-v3-c2-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-p-v3-c2-v1/special_tokens_map.json
cycy233-l3-p-v3-c2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-p-v3-c2-v1/tokenizer_config.json
cycy233-l3-p-v3-c2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-p-v3-c2-v1/tokenizer.json
cycy233-l3-p-v3-c2-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-p-v3-c2-v1/flywheel_model.0.safetensors
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Job cycy233-l3-p-v3-c2-v1-mkmlizer completed after 95.54s with status: succeeded
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Failed to get response for submission zonemercy-virgo-edit-v1-1e5_v12: HTTPConnectionPool(host='zonemercy-virgo-edit-v1-1e5-v12-predictor.tenant-chaiml-guanaco.k2.chaiverse.com', port=80): Max retries exceeded with url: /v1/models/GPT-J-6B-lit-v2:predict (Caused by ConnectTimeoutError(<urllib3.connection.HTTPConnection object at 0x7f54c070a810>, 'Connection to zonemercy-virgo-edit-v1-1e5-v12-predictor.tenant-chaiml-guanaco.k2.chaiverse.com timed out. (connect timeout=None)'))
Inference service cycy233-l3-p-v3-c2-v1 ready after 170.5545072555542s
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Received healthy response to inference request in 3.280933380126953s
Received healthy response to inference request in 4.086721420288086s
Received healthy response to inference request in 2.004260778427124s
Received healthy response to inference request in 1.6232695579528809s
Received healthy response to inference request in 5.092244386672974s
5 requests
0 failed requests
5th percentile: 1.6994678020477294
10th percentile: 1.7756660461425782
20th percentile: 1.9280625343322755
30th percentile: 2.2595952987670898
40th percentile: 2.7702643394470217
50th percentile: 3.280933380126953
60th percentile: 3.6032485961914062
70th percentile: 3.9255638122558594
80th percentile: 4.287826013565064
90th percentile: 4.690035200119018
95th percentile: 4.891139793395996
99th percentile: 5.052023468017578
mean time: 3.2174859046936035
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-l3-p-v3-c2-v1-profiler-predictor-00001-deployment-phcvd:/code/chaiverse_profiler_1726111310 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-l3-p-v3-c2-v1-profiler-predictor-00001-deployment-phcvd --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726111310 && python profiles.py profile --best_of_n 16 --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_1726111310/summary.json'
kubectl exec -it cycy233-l3-p-v3-c2-v1-profiler-predictor-00001-deployment-phcvd --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726111310/summary.json'
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