developer_uid: bogoconic1
submission_id: bogoconic1-mistral-nemo-_4177_v1
model_name: bogoconic1-mistral-nemo-_4177_v1
model_group: bogoconic1/mistral-nemo-
status: torndown
timestamp: 2025-05-01T02:12:20+00:00
num_battles: 7065
num_wins: 3274
celo_rating: 1253.8
family_friendly_score: 0.6033999999999999
family_friendly_standard_error: 0.006918214220447355
submission_type: basic
model_repo: bogoconic1/mistral-nemo-13b-ultrafeedback-dpo-step100
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6079904600715652, 'latency_mean': 1.6446990418434142, 'latency_p50': 1.6184300184249878, 'latency_p90': 1.8374920129776}, {'batch_size': 3, 'throughput': 1.0987397315622884, 'latency_mean': 2.7168836200237276, 'latency_p50': 2.7215793132781982, 'latency_p90': 3.0095622539520264}, {'batch_size': 5, 'throughput': 1.3252507553922892, 'latency_mean': 3.758575016260147, 'latency_p50': 3.7633336782455444, 'latency_p90': 4.219014811515808}, {'batch_size': 6, 'throughput': 1.3899592647015462, 'latency_mean': 4.288816344738007, 'latency_p50': 4.311797738075256, 'latency_p90': 4.843594646453857}, {'batch_size': 8, 'throughput': 1.458368478775945, 'latency_mean': 5.461270170211792, 'latency_p50': 5.465952754020691, 'latency_p90': 6.114967703819275}, {'batch_size': 10, 'throughput': 1.4921083045831591, 'latency_mean': 6.663350816965103, 'latency_p50': 6.6140336990356445, 'latency_p90': 7.449007248878479}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: bogoconic1-mistral-nemo-_4177_v1
is_internal_developer: True
language_model: bogoconic1/mistral-nemo-13b-ultrafeedback-dpo-step100
model_size: 13B
ranking_group: single
throughput_3p7s: 1.32
us_pacific_date: 2025-04-30
win_ratio: 0.46341118188251945
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, '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
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 bogoconic1-mistral-nemo-4177-v1-mkmlizer
Waiting for job on bogoconic1-mistral-nemo-4177-v1-mkmlizer to finish
bogoconic1-mistral-nemo-4177-v1-mkmlizer: Downloaded to shared memory in 48.328s
bogoconic1-mistral-nemo-4177-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp6r46qti7, device:0
bogoconic1-mistral-nemo-4177-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
bogoconic1-mistral-nemo-4177-v1-mkmlizer: quantized model in 37.126s
bogoconic1-mistral-nemo-4177-v1-mkmlizer: Processed model bogoconic1/mistral-nemo-13b-ultrafeedback-dpo-step100 in 85.455s
bogoconic1-mistral-nemo-4177-v1-mkmlizer: creating bucket guanaco-mkml-models
bogoconic1-mistral-nemo-4177-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
bogoconic1-mistral-nemo-4177-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/bogoconic1-mistral-nemo-4177-v1
bogoconic1-mistral-nemo-4177-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/bogoconic1-mistral-nemo-4177-v1/config.json
bogoconic1-mistral-nemo-4177-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/bogoconic1-mistral-nemo-4177-v1/special_tokens_map.json
bogoconic1-mistral-nemo-4177-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/bogoconic1-mistral-nemo-4177-v1/tokenizer_config.json
bogoconic1-mistral-nemo-4177-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/bogoconic1-mistral-nemo-4177-v1/tokenizer.json
bogoconic1-mistral-nemo-4177-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/bogoconic1-mistral-nemo-4177-v1/flywheel_model.0.safetensors
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Job bogoconic1-mistral-nemo-4177-v1-mkmlizer completed after 113.82s with status: succeeded
Stopping job with name bogoconic1-mistral-nemo-4177-v1-mkmlizer
Pipeline stage MKMLizer completed in 114.27s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
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Running pipeline stage MKMLDeployer
Creating inference service bogoconic1-mistral-nemo-4177-v1
Waiting for inference service bogoconic1-mistral-nemo-4177-v1 to be ready
Inference service bogoconic1-mistral-nemo-4177-v1 ready after 140.44773745536804s
Pipeline stage MKMLDeployer completed in 140.95s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.334428071975708s
Received healthy response to inference request in 1.7110011577606201s
Received healthy response to inference request in 1.4510235786437988s
Received healthy response to inference request in 1.5271711349487305s
Received healthy response to inference request in 1.5665361881256104s
5 requests
0 failed requests
5th percentile: 1.4662530899047852
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90th percentile: 2.0850573062896727
95th percentile: 2.2097426891326903
99th percentile: 2.3094909954071046
mean time: 1.7180320262908935
Pipeline stage StressChecker completed in 9.93s
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