submission_id: trace2333-mistral-trail8_v3
developer_uid: Trace2333
best_of: 8
celo_rating: 1248.13
display_name: trace2333-mistral-trail8_v3
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_trail8
latencies: [{'batch_size': 1, 'throughput': 0.7023742801035765, 'latency_mean': 1.423635848760605, 'latency_p50': 1.4126954078674316, 'latency_p90': 1.6009939193725586}, {'batch_size': 3, 'throughput': 1.3361928144494415, 'latency_mean': 2.239290415048599, 'latency_p50': 2.248861074447632, 'latency_p90': 2.467824530601501}, {'batch_size': 5, 'throughput': 1.5792376699878927, 'latency_mean': 3.1523211467266083, 'latency_p50': 3.1584348678588867, 'latency_p90': 3.573955011367798}, {'batch_size': 6, 'throughput': 1.6264027953084557, 'latency_mean': 3.6803011977672577, 'latency_p50': 3.672764301300049, 'latency_p90': 4.209412932395935}, {'batch_size': 8, 'throughput': 1.6189210439782438, 'latency_mean': 4.921230162382126, 'latency_p50': 4.987264633178711, 'latency_p90': 5.587256574630738}, {'batch_size': 10, 'throughput': 1.5487846148374018, 'latency_mean': 6.422537294626236, 'latency_p50': 6.472227215766907, 'latency_p90': 7.228198766708374}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: Trace2333/mistral_trail8
model_name: trace2333-mistral-trail8_v3
model_num_parameters: 12772070400.0
model_repo: Trace2333/mistral_trail8
model_size: 13B
num_battles: 12279
num_wins: 6310
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.63
timestamp: 2024-09-10T12:02:00+00:00
us_pacific_date: 2024-09-10
win_ratio: 0.5138854955615278
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
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Running pipeline stage MKMLizer
Starting job with name trace2333-mistral-trail8-v3-mkmlizer
Waiting for job on trace2333-mistral-trail8-v3-mkmlizer to finish
trace2333-mistral-trail8-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-mistral-trail8-v3-mkmlizer: ║ _____ __ __ ║
trace2333-mistral-trail8-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
trace2333-mistral-trail8-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
trace2333-mistral-trail8-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
trace2333-mistral-trail8-v3-mkmlizer: ║ /___/ ║
trace2333-mistral-trail8-v3-mkmlizer: ║ ║
trace2333-mistral-trail8-v3-mkmlizer: ║ Version: 0.10.1 ║
trace2333-mistral-trail8-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
trace2333-mistral-trail8-v3-mkmlizer: ║ https://mk1.ai ║
trace2333-mistral-trail8-v3-mkmlizer: ║ ║
trace2333-mistral-trail8-v3-mkmlizer: ║ The license key for the current software has been verified as ║
trace2333-mistral-trail8-v3-mkmlizer: ║ belonging to: ║
trace2333-mistral-trail8-v3-mkmlizer: ║ ║
trace2333-mistral-trail8-v3-mkmlizer: ║ Chai Research Corp. ║
trace2333-mistral-trail8-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
trace2333-mistral-trail8-v3-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
trace2333-mistral-trail8-v3-mkmlizer: ║ ║
trace2333-mistral-trail8-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Failed to get response for submission chaiml-llama-8b-pairwis_8189_v19: ('http://chaiml-llama-8b-pairwis-8189-v19-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'readfrom tcp 127.0.0.1:58358->127.0.0.1:8080: write tcp 127.0.0.1:58358->127.0.0.1:8080: use of closed network connection\n')
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trace2333-mistral-trail8-v3-mkmlizer: Downloaded to shared memory in 29.097s
trace2333-mistral-trail8-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpzrcobuyy, device:0
trace2333-mistral-trail8-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
trace2333-mistral-trail8-v3-mkmlizer: quantized model in 36.694s
trace2333-mistral-trail8-v3-mkmlizer: Processed model Trace2333/mistral_trail8 in 65.792s
trace2333-mistral-trail8-v3-mkmlizer: creating bucket guanaco-mkml-models
trace2333-mistral-trail8-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-mistral-trail8-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-mistral-trail8-v3
trace2333-mistral-trail8-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-mistral-trail8-v3/config.json
trace2333-mistral-trail8-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-mistral-trail8-v3/special_tokens_map.json
trace2333-mistral-trail8-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/trace2333-mistral-trail8-v3/tokenizer_config.json
trace2333-mistral-trail8-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-mistral-trail8-v3/tokenizer.json
trace2333-mistral-trail8-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-mistral-trail8-v3/flywheel_model.0.safetensors
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Job trace2333-mistral-trail8-v3-mkmlizer completed after 94.3s with status: succeeded
Stopping job with name trace2333-mistral-trail8-v3-mkmlizer
Pipeline stage MKMLizer completed in 96.60s
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Creating inference service trace2333-mistral-trail8-v3
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Inference service trace2333-mistral-trail8-v3 ready after 150.45097875595093s
Pipeline stage MKMLDeployer completed in 151.67s
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Received healthy response to inference request in 2.6199870109558105s
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Received healthy response to inference request in 1.6641311645507812s
Received healthy response to inference request in 1.6916723251342773s
Received healthy response to inference request in 2.2136194705963135s
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mean time: 2.0473914623260496
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Inference service trace2333-mistral-trail8-v3-profiler ready after 160.37418866157532s
Pipeline stage MKMLProfilerDeployer completed in 160.75s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/trace2333-mistral-trail8-v3-profiler-predictor-00001-deploqg8bx:/code/chaiverse_profiler_1725970188 --namespace tenant-chaiml-guanaco
kubectl exec -it trace2333-mistral-trail8-v3-profiler-predictor-00001-deploqg8bx --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725970188 && 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_1725970188/summary.json'
kubectl exec -it trace2333-mistral-trail8-v3-profiler-predictor-00001-deploqg8bx --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725970188/summary.json'
Pipeline stage MKMLProfilerRunner completed in 942.36s
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Running pipeline stage MKMLProfilerDeleter
Checking if service trace2333-mistral-trail8-v3-profiler is running
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Service trace2333-mistral-trail8-v3-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.97s
Shutdown handler de-registered
trace2333-mistral-trail8_v3 status is now inactive due to auto deactivation removed underperforming models
trace2333-mistral-trail8_v3 status is now torndown due to DeploymentManager action