submission_id: trace2333-mistral-trail10_v1
developer_uid: Trace2333
alignment_samples: 12988
alignment_score: 0.1121924074287792
best_of: 8
celo_rating: 1238.91
display_name: trace2333-mistral-trail10_v1
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'], '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_trail10
latencies: [{'batch_size': 1, 'throughput': 0.6923713635840284, 'latency_mean': 1.4442065036296845, 'latency_p50': 1.4491405487060547, 'latency_p90': 1.608963966369629}, {'batch_size': 3, 'throughput': 1.3374250130508265, 'latency_mean': 2.2359941029548644, 'latency_p50': 2.2359143495559692, 'latency_p90': 2.4873916149139403}, {'batch_size': 5, 'throughput': 1.5773936356772427, 'latency_mean': 3.15988266825676, 'latency_p50': 3.1690045595169067, 'latency_p90': 3.566582703590393}, {'batch_size': 6, 'throughput': 1.6372275180596596, 'latency_mean': 3.651442143917084, 'latency_p50': 3.6639198064804077, 'latency_p90': 4.174341130256653}, {'batch_size': 8, 'throughput': 1.630471637407695, 'latency_mean': 4.883353621959686, 'latency_p50': 4.82685387134552, 'latency_p90': 5.632540249824523}, {'batch_size': 10, 'throughput': 1.5302652469271598, 'latency_mean': 6.482619183063507, 'latency_p50': 6.55799663066864, 'latency_p90': 7.355464148521423}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: Trace2333/mistral_trail1
model_name: trace2333-mistral-trail10_v1
model_num_parameters: 12772070400.0
model_repo: Trace2333/mistral_trail10
model_size: 13B
num_battles: 12987
num_wins: 6404
propriety_score: 0.7574171029668412
propriety_total_count: 1146.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.64
timestamp: 2024-09-11T11:42:06+00:00
us_pacific_date: 2024-09-11
win_ratio: 0.4931084931084931
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Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name trace2333-mistral-trail10-v1-mkmlizer
Waiting for job on trace2333-mistral-trail10-v1-mkmlizer to finish
trace2333-mistral-trail10-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-mistral-trail10-v1-mkmlizer: ║ _____ __ __ ║
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trace2333-mistral-trail10-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
trace2333-mistral-trail10-v1-mkmlizer: ║ /___/ ║
trace2333-mistral-trail10-v1-mkmlizer: ║ ║
trace2333-mistral-trail10-v1-mkmlizer: ║ Version: 0.10.1 ║
trace2333-mistral-trail10-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
trace2333-mistral-trail10-v1-mkmlizer: ║ https://mk1.ai ║
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trace2333-mistral-trail10-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
trace2333-mistral-trail10-v1-mkmlizer: ║ ║
trace2333-mistral-trail10-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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trace2333-mistral-trail10-v1-mkmlizer: Downloaded to shared memory in 44.756s
trace2333-mistral-trail10-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp6uujijr2, device:0
trace2333-mistral-trail10-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
trace2333-mistral-trail10-v1-mkmlizer: quantized model in 36.247s
trace2333-mistral-trail10-v1-mkmlizer: Processed model Trace2333/mistral_trail10 in 81.003s
trace2333-mistral-trail10-v1-mkmlizer: creating bucket guanaco-mkml-models
trace2333-mistral-trail10-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-mistral-trail10-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-mistral-trail10-v1/config.json
trace2333-mistral-trail10-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-mistral-trail10-v1/special_tokens_map.json
trace2333-mistral-trail10-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/trace2333-mistral-trail10-v1/tokenizer_config.json
trace2333-mistral-trail10-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-mistral-trail10-v1/tokenizer.json
trace2333-mistral-trail10-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-mistral-trail10-v1/flywheel_model.0.safetensors
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Job trace2333-mistral-trail10-v1-mkmlizer completed after 105.51s with status: succeeded
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Pipeline stage MKMLizer completed in 107.01s
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Creating inference service trace2333-mistral-trail10-v1
Waiting for inference service trace2333-mistral-trail10-v1 to be ready
Failed to get response for submission chaiml-elo-alignment-run-3_v36: ('http://chaiml-elo-alignment-run-3-v36-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:55112->127.0.0.1:8080: read: connection reset by peer\n')
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Inference service trace2333-mistral-trail10-v1 ready after 222.55123090744019s
Pipeline stage MKMLDeployer completed in 223.69s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.8530290126800537s
Received healthy response to inference request in 1.99216628074646s
Received healthy response to inference request in 2.4961721897125244s
Received healthy response to inference request in 1.6668205261230469s
Received healthy response to inference request in 2.0456929206848145s
5 requests
0 failed requests
5th percentile: 1.7318896770477294
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90th percentile: 2.710286283493042
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mean time: 2.21077618598938
Pipeline stage StressChecker completed in 12.33s
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Inference service trace2333-mistral-trail10-v1-profiler ready after 170.40299820899963s
Pipeline stage MKMLProfilerDeployer completed in 170.73s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/trace2333-mistral-tr033ee5426f31bdefd3961eb2b91f6e6e-deplomqszk:/code/chaiverse_profiler_1726055483 --namespace tenant-chaiml-guanaco
kubectl exec -it trace2333-mistral-tr033ee5426f31bdefd3961eb2b91f6e6e-deplomqszk --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726055483 && 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_1726055483/summary.json'
kubectl exec -it trace2333-mistral-tr033ee5426f31bdefd3961eb2b91f6e6e-deplomqszk --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726055483/summary.json'
Pipeline stage MKMLProfilerRunner completed in 945.86s
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Checking if service trace2333-mistral-trail10-v1-profiler is running
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Service trace2333-mistral-trail10-v1-profiler has been torndown
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Shutdown handler de-registered
trace2333-mistral-trail10_v1 status is now inactive due to auto deactivation removed underperforming models