submission_id: trace2333-mistral-trial6_v4
developer_uid: Trace2333
best_of: 8
celo_rating: 1254.75
display_name: trace2333-mistral-trial6_v4
family_friendly_score: 0.0
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}
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}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: Trace2333/mistral_trial6
latencies: [{'batch_size': 1, 'throughput': 0.6981860824769747, 'latency_mean': 1.4321943986415864, 'latency_p50': 1.4189603328704834, 'latency_p90': 1.5990623235702515}, {'batch_size': 3, 'throughput': 1.3428560518370949, 'latency_mean': 2.227911977767944, 'latency_p50': 2.2168368101119995, 'latency_p90': 2.5135214567184447}, {'batch_size': 5, 'throughput': 1.5738169491135952, 'latency_mean': 3.1593749809265135, 'latency_p50': 3.186428189277649, 'latency_p90': 3.511012387275696}, {'batch_size': 6, 'throughput': 1.626252383838948, 'latency_mean': 3.665831959247589, 'latency_p50': 3.6943775415420532, 'latency_p90': 4.129699158668518}, {'batch_size': 8, 'throughput': 1.5940607609449275, 'latency_mean': 4.9935013973712925, 'latency_p50': 5.009069085121155, 'latency_p90': 5.642131996154785}, {'batch_size': 10, 'throughput': 1.5541353749145796, 'latency_mean': 6.400211254358291, 'latency_p50': 6.404184699058533, 'latency_p90': 7.340887331962586}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: Trace2333/mistral_trial6
model_name: trace2333-mistral-trial6_v4
model_num_parameters: 12772070400.0
model_repo: Trace2333/mistral_trial6
model_size: 13B
num_battles: 12694
num_wins: 6568
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.64
timestamp: 2024-09-06T16:42:19+00:00
us_pacific_date: 2024-09-06
win_ratio: 0.5174097999054672
Download Preference Data
Resubmit model
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Running pipeline stage MKMLizer
Starting job with name trace2333-mistral-trial6-v4-mkmlizer
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Failed to get response for submission trace2333-mistral-align-_8132_v2: ('http://trace2333-mistral-align-8132-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'request timeout')
Failed to get response for submission trace2333-mistral-align-_8132_v2: ('http://trace2333-mistral-align-8132-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'request timeout')
trace2333-mistral-trial6-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-mistral-trial6-v4-mkmlizer: ║ _____ __ __ ║
trace2333-mistral-trial6-v4-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
trace2333-mistral-trial6-v4-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
trace2333-mistral-trial6-v4-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
trace2333-mistral-trial6-v4-mkmlizer: ║ /___/ ║
trace2333-mistral-trial6-v4-mkmlizer: ║ ║
trace2333-mistral-trial6-v4-mkmlizer: ║ Version: 0.10.1 ║
trace2333-mistral-trial6-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
trace2333-mistral-trial6-v4-mkmlizer: ║ https://mk1.ai ║
trace2333-mistral-trial6-v4-mkmlizer: ║ ║
trace2333-mistral-trial6-v4-mkmlizer: ║ The license key for the current software has been verified as ║
trace2333-mistral-trial6-v4-mkmlizer: ║ belonging to: ║
trace2333-mistral-trial6-v4-mkmlizer: ║ ║
trace2333-mistral-trial6-v4-mkmlizer: ║ Chai Research Corp. ║
trace2333-mistral-trial6-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
trace2333-mistral-trial6-v4-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
trace2333-mistral-trial6-v4-mkmlizer: ║ ║
trace2333-mistral-trial6-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Failed to get response for submission trace2333-mistral-align-_8132_v2: ('http://trace2333-mistral-align-8132-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'request timeout')
trace2333-mistral-trial6-v4-mkmlizer: Downloaded to shared memory in 28.904s
trace2333-mistral-trial6-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp7rov4az8, device:0
trace2333-mistral-trial6-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
trace2333-mistral-trial6-v4-mkmlizer: quantized model in 36.367s
trace2333-mistral-trial6-v4-mkmlizer: Processed model Trace2333/mistral_trial6 in 65.271s
trace2333-mistral-trial6-v4-mkmlizer: creating bucket guanaco-mkml-models
trace2333-mistral-trial6-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-mistral-trial6-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-mistral-trial6-v4
trace2333-mistral-trial6-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-mistral-trial6-v4/config.json
trace2333-mistral-trial6-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-mistral-trial6-v4/special_tokens_map.json
trace2333-mistral-trial6-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-mistral-trial6-v4/tokenizer.json
trace2333-mistral-trial6-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-mistral-trial6-v4/flywheel_model.0.safetensors
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Job trace2333-mistral-trial6-v4-mkmlizer completed after 84.08s with status: succeeded
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Inference service trace2333-mistral-trial6-v4 ready after 212.12212228775024s
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Received healthy response to inference request in 2.550504207611084s
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Received healthy response to inference request in 1.8405911922454834s
Received healthy response to inference request in 1.9917566776275635s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/trace2333-mistral-trial6-v4-profiler-predictor-00001-deplo56r7k:/code/chaiverse_profiler_1725641457 --namespace tenant-chaiml-guanaco
kubectl exec -it trace2333-mistral-trial6-v4-profiler-predictor-00001-deplo56r7k --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725641457 && 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_1725641457/summary.json'
kubectl exec -it trace2333-mistral-trial6-v4-profiler-predictor-00001-deplo56r7k --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725641457/summary.json'
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