submission_id: sao10k-lyra-4-2-chai_v4
developer_uid: sao10k
best_of: 8
celo_rating: 1271.1
display_name: lyra42x
family_friendly_score: 0.5595154903331003
family_friendly_standard_error: 0.009260153983625619
formatter: {'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>{user_name}\n{message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.2, 'top_k': 50, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n\n', '\nYou:', '[/INST]', '<|im_end|>', '</s>'], 'max_input_tokens': 512, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
ineligible_reason: num_battles<5000
is_internal_developer: False
language_model: Sao10K/lyra-4-2-chai
latencies: [{'batch_size': 1, 'throughput': 0.683595261958705, 'latency_mean': 1.4627919149398805, 'latency_p50': 1.4670065641403198, 'latency_p90': 1.6162002325057983}, {'batch_size': 3, 'throughput': 1.311174944926516, 'latency_mean': 2.284343168735504, 'latency_p50': 2.3068336248397827, 'latency_p90': 2.5150757789611817}, {'batch_size': 5, 'throughput': 1.5523758962188237, 'latency_mean': 3.193103388547897, 'latency_p50': 3.17967426776886, 'latency_p90': 3.6056304931640626}, {'batch_size': 6, 'throughput': 1.6167526077935854, 'latency_mean': 3.6976825737953187, 'latency_p50': 3.701964020729065, 'latency_p90': 4.204604864120483}, {'batch_size': 8, 'throughput': 1.5889546455485224, 'latency_mean': 4.997425584793091, 'latency_p50': 4.998100280761719, 'latency_p90': 5.680343770980834}, {'batch_size': 10, 'throughput': 1.549748404167658, 'latency_mean': 6.411097681522369, 'latency_p50': 6.418901443481445, 'latency_p90': 7.353355193138122}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: Sao10K/lyra-4-2-chai
model_name: lyra42x
model_num_parameters: 12772070400.0
model_repo: Sao10K/lyra-4-2-chai
model_size: 13B
num_battles: 2941
num_wins: 1537
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.62
timestamp: 2024-09-26T06:36:24+00:00
us_pacific_date: 2024-09-25
win_ratio: 0.5226113566814009
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run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name sao10k-lyra-4-2-chai-v4-mkmlizer
Waiting for job on sao10k-lyra-4-2-chai-v4-mkmlizer to finish
sao10k-lyra-4-2-chai-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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sao10k-lyra-4-2-chai-v4-mkmlizer: ║ ║
sao10k-lyra-4-2-chai-v4-mkmlizer: ║ Version: 0.11.12 ║
sao10k-lyra-4-2-chai-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
sao10k-lyra-4-2-chai-v4-mkmlizer: ║ https://mk1.ai ║
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sao10k-lyra-4-2-chai-v4-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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sao10k-lyra-4-2-chai-v4-mkmlizer: Downloaded to shared memory in 42.556s
sao10k-lyra-4-2-chai-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp8zlqylyu, device:0
sao10k-lyra-4-2-chai-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
sao10k-lyra-4-2-chai-v4-mkmlizer: quantized model in 37.545s
sao10k-lyra-4-2-chai-v4-mkmlizer: Processed model Sao10K/lyra-4-2-chai in 80.102s
sao10k-lyra-4-2-chai-v4-mkmlizer: creating bucket guanaco-mkml-models
sao10k-lyra-4-2-chai-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sao10k-lyra-4-2-chai-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sao10k-lyra-4-2-chai-v4
sao10k-lyra-4-2-chai-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sao10k-lyra-4-2-chai-v4/special_tokens_map.json
sao10k-lyra-4-2-chai-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sao10k-lyra-4-2-chai-v4/config.json
sao10k-lyra-4-2-chai-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sao10k-lyra-4-2-chai-v4/tokenizer_config.json
sao10k-lyra-4-2-chai-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sao10k-lyra-4-2-chai-v4/tokenizer.json
sao10k-lyra-4-2-chai-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/sao10k-lyra-4-2-chai-v4/flywheel_model.0.safetensors
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Job sao10k-lyra-4-2-chai-v4-mkmlizer completed after 113.19s with status: succeeded
Stopping job with name sao10k-lyra-4-2-chai-v4-mkmlizer
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Creating inference service sao10k-lyra-4-2-chai-v4
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Inference service sao10k-lyra-4-2-chai-v4 ready after 220.4857075214386s
Pipeline stage MKMLDeployer completed in 220.78s
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Received healthy response to inference request in 2.2762374877929688s
Received healthy response to inference request in 1.6228973865509033s
Received healthy response to inference request in 1.6330046653747559s
Received healthy response to inference request in 2.0069963932037354s
Received healthy response to inference request in 1.5273878574371338s
5 requests
0 failed requests
5th percentile: 1.5464897632598877
10th percentile: 1.5655916690826417
20th percentile: 1.6037954807281494
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40th percentile: 1.6289617538452148
50th percentile: 1.6330046653747559
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70th percentile: 1.9321980476379395
80th percentile: 2.060844612121582
90th percentile: 2.1685410499572755
95th percentile: 2.222389268875122
99th percentile: 2.2654678440093994
mean time: 1.8133047580718995
Pipeline stage StressChecker completed in 9.70s
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Inference service sao10k-lyra-4-2-chai-v4-profiler ready after 220.49238276481628s
Pipeline stage MKMLProfilerDeployer completed in 220.85s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/sao10k-lyra-4-2-chai-v4-profiler-predictor-00001-deploymen6j9jj:/code/chaiverse_profiler_1727333203 --namespace tenant-chaiml-guanaco
kubectl exec -it sao10k-lyra-4-2-chai-v4-profiler-predictor-00001-deploymen6j9jj --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1727333203 && 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_1727333203/summary.json'
kubectl exec -it sao10k-lyra-4-2-chai-v4-profiler-predictor-00001-deploymen6j9jj --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1727333203/summary.json'
Pipeline stage MKMLProfilerRunner completed in 958.85s
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sao10k-lyra-4-2-chai_v4 status is now inactive due to auto deactivation removed underperforming models
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Deleting key rica40325-mistral-3678-v4/config.json from bucket guanaco-mkml-models
admin requested tearing down of sao10k-lyra-4-2-chai_v4
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Deleting key rica40325-mistral-3678-v4/flywheel_model.0.safetensors from bucket guanaco-mkml-models
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admin requested tearing down of blend_rofur_2024-10-03
sao10k-lyra-4-2-chai_v4 status is now torndown due to DeploymentManager action