trace2333-mistral-trial6

developer_uid: Trace2333
submission_id: trace2333-mistral-trial6_v5
model_name: trace2333-mistral-trial6_v5
model_group: Trace2333/mistral_trial6
status: torndown
timestamp: 2024-09-06T17:30:47+00:00
num_battles: 11025
num_wins: 5759
celo_rating: 1259.01
family_friendly_score: 0.0
submission_type: basic
model_repo: Trace2333/mistral_trial6
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 512
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6892656079808674, 'latency_mean': 1.4507310903072357, 'latency_p50': 1.4403878450393677, 'latency_p90': 1.6189053535461426}, {'batch_size': 3, 'throughput': 1.312185032035087, 'latency_mean': 2.282902193069458, 'latency_p50': 2.2937402725219727, 'latency_p90': 2.532645082473755}, {'batch_size': 5, 'throughput': 1.524739921315781, 'latency_mean': 3.2693074214458466, 'latency_p50': 3.2678250074386597, 'latency_p90': 3.643530988693237}, {'batch_size': 6, 'throughput': 1.593144520647626, 'latency_mean': 3.742696541547775, 'latency_p50': 3.791711688041687, 'latency_p90': 4.207233095169067}, {'batch_size': 8, 'throughput': 1.5705198528649378, 'latency_mean': 5.054116045236587, 'latency_p50': 5.0595327615737915, 'latency_p90': 5.66349048614502}, {'batch_size': 10, 'throughput': 1.5198037306687295, 'latency_mean': 6.529887545108795, 'latency_p50': 6.531020283699036, 'latency_p90': 7.534984397888183}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: trace2333-mistral-trial6_v5
is_internal_developer: False
language_model: Trace2333/mistral_trial6
model_size: 13B
ranking_group: single
throughput_3p7s: 1.6
us_pacific_date: 2024-09-06
win_ratio: 0.5223582766439909
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.06, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '###'], 'max_input_tokens': 512, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
Resubmit model
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Running pipeline stage MKMLizer
Starting job with name trace2333-mistral-trial6-v5-mkmlizer
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trace2333-mistral-trial6-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-mistral-trial6-v5-mkmlizer: ║     _____            __           __                                ║
trace2333-mistral-trial6-v5-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
trace2333-mistral-trial6-v5-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
trace2333-mistral-trial6-v5-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
trace2333-mistral-trial6-v5-mkmlizer: ║       /___/                                                         ║
trace2333-mistral-trial6-v5-mkmlizer: ║                                                                     ║
trace2333-mistral-trial6-v5-mkmlizer: ║  Version: 0.10.1                                                    ║
trace2333-mistral-trial6-v5-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
trace2333-mistral-trial6-v5-mkmlizer: ║  https://mk1.ai                                                     ║
trace2333-mistral-trial6-v5-mkmlizer: ║                                                                     ║
trace2333-mistral-trial6-v5-mkmlizer: ║  The license key for the current software has been verified as      ║
trace2333-mistral-trial6-v5-mkmlizer: ║  belonging to:                                                      ║
trace2333-mistral-trial6-v5-mkmlizer: ║                                                                     ║
trace2333-mistral-trial6-v5-mkmlizer: ║  Chai Research Corp.                                                ║
trace2333-mistral-trial6-v5-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
trace2333-mistral-trial6-v5-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
trace2333-mistral-trial6-v5-mkmlizer: ║                                                                     ║
trace2333-mistral-trial6-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
trace2333-mistral-trial6-v5-mkmlizer: Downloaded to shared memory in 28.002s
trace2333-mistral-trial6-v5-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpe_ykfaih, device:0
trace2333-mistral-trial6-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
trace2333-mistral-trial6-v5-mkmlizer: quantized model in 36.613s
trace2333-mistral-trial6-v5-mkmlizer: Processed model Trace2333/mistral_trial6 in 64.615s
trace2333-mistral-trial6-v5-mkmlizer: creating bucket guanaco-mkml-models
trace2333-mistral-trial6-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-mistral-trial6-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-mistral-trial6-v5
trace2333-mistral-trial6-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-mistral-trial6-v5/config.json
trace2333-mistral-trial6-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-mistral-trial6-v5/tokenizer.json
trace2333-mistral-trial6-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-mistral-trial6-v5/flywheel_model.0.safetensors
trace2333-mistral-trial6-v5-mkmlizer: 
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Job trace2333-mistral-trial6-v5-mkmlizer completed after 94.49s with status: succeeded
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Failed to get response for submission blend_jitik_2024-08-26: ('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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Received healthy response to inference request in 2.4707298278808594s
Received healthy response to inference request in 2.1246912479400635s
Received healthy response to inference request in 1.859590768814087s
Received healthy response to inference request in 1.769129753112793s
Received healthy response to inference request in 1.7440853118896484s
5 requests
0 failed requests
5th percentile: 1.7490942001342773
10th percentile: 1.7541030883789062
20th percentile: 1.764120864868164
30th percentile: 1.7872219562530518
40th percentile: 1.8234063625335692
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70th percentile: 2.071671152114868
80th percentile: 2.193898963928223
90th percentile: 2.332314395904541
95th percentile: 2.4015221118927
99th percentile: 2.4568882846832274
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/trace2333-mistral-trial6-v5-profiler-predictor-00001-deploczl8k:/code/chaiverse_profiler_1725644290 --namespace tenant-chaiml-guanaco
kubectl exec -it trace2333-mistral-trial6-v5-profiler-predictor-00001-deploczl8k --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725644290 && 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 512 --output_tokens 64 --summary /code/chaiverse_profiler_1725644290/summary.json'
kubectl exec -it trace2333-mistral-trial6-v5-profiler-predictor-00001-deploczl8k --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725644290/summary.json'
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