developer_uid: udbhavbamba
submission_id: udbhavbamba-nemo13b-dpo-og_v3
model_name: dpoO
model_group: udbhavbamba/nemo13b_dpo_
status: torndown
timestamp: 2025-03-23T09:15:08+00:00
num_battles: 9330
num_wins: 4552
celo_rating: 1271.07
family_friendly_score: 0.6002000000000001
family_friendly_standard_error: 0.006927625278549642
submission_type: basic
model_repo: udbhavbamba/nemo13b_dpo_og
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6018558154641891, 'latency_mean': 1.6614661860466002, 'latency_p50': 1.6553425788879395, 'latency_p90': 1.8296912670135497}, {'batch_size': 3, 'throughput': 1.0964771360135495, 'latency_mean': 2.7292351543903353, 'latency_p50': 2.713984251022339, 'latency_p90': 3.057743954658508}, {'batch_size': 5, 'throughput': 1.3007762565560155, 'latency_mean': 3.8271293306350707, 'latency_p50': 3.7887725830078125, 'latency_p90': 4.2223968505859375}, {'batch_size': 6, 'throughput': 1.3746287704132714, 'latency_mean': 4.34289824962616, 'latency_p50': 4.364276051521301, 'latency_p90': 4.803922867774963}, {'batch_size': 8, 'throughput': 1.4239391989847023, 'latency_mean': 5.588780838251114, 'latency_p50': 5.6015037298202515, 'latency_p90': 6.372142601013183}, {'batch_size': 10, 'throughput': 1.4613614339249505, 'latency_mean': 6.8000043261051175, 'latency_p50': 6.802197456359863, 'latency_p90': 7.653411436080932}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: dpoO
is_internal_developer: False
language_model: udbhavbamba/nemo13b_dpo_og
model_size: 13B
ranking_group: single
throughput_3p7s: 1.29
us_pacific_date: 2025-03-23
win_ratio: 0.48788853161843515
generation_params: {'temperature': 1.0, 'top_p': 0.9, 'min_p': 0.1, 'top_k': 40, 'presence_penalty': 0.1, 'frequency_penalty': 0.0, 'stopping_words': ['</s>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "<s>{bot_name}'s Persona: {memory}\n", 'prompt_template': '{prompt}', 'bot_template': '{bot_name}: {message}</s>', 'user_template': '[INST]{user_name}: {message}[/INST]', '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 udbhavbamba-nemo13b-dpo-og-v3-mkmlizer
Waiting for job on udbhavbamba-nemo13b-dpo-og-v3-mkmlizer to finish
udbhavbamba-nemo13b-dpo-og-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
udbhavbamba-nemo13b-dpo-og-v3-mkmlizer: ║ _____ __ __ ║
udbhavbamba-nemo13b-dpo-og-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
udbhavbamba-nemo13b-dpo-og-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
udbhavbamba-nemo13b-dpo-og-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
udbhavbamba-nemo13b-dpo-og-v3-mkmlizer: ║ /___/ ║
udbhavbamba-nemo13b-dpo-og-v3-mkmlizer: ║ ║
udbhavbamba-nemo13b-dpo-og-v3-mkmlizer: ║ Version: 0.12.8 ║
udbhavbamba-nemo13b-dpo-og-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
udbhavbamba-nemo13b-dpo-og-v3-mkmlizer: ║ https://mk1.ai ║
udbhavbamba-nemo13b-dpo-og-v3-mkmlizer: ║ ║
udbhavbamba-nemo13b-dpo-og-v3-mkmlizer: ║ The license key for the current software has been verified as ║
udbhavbamba-nemo13b-dpo-og-v3-mkmlizer: ║ belonging to: ║
udbhavbamba-nemo13b-dpo-og-v3-mkmlizer: ║ ║
udbhavbamba-nemo13b-dpo-og-v3-mkmlizer: ║ Chai Research Corp. ║
udbhavbamba-nemo13b-dpo-og-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
udbhavbamba-nemo13b-dpo-og-v3-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
udbhavbamba-nemo13b-dpo-og-v3-mkmlizer: ║ ║
udbhavbamba-nemo13b-dpo-og-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
udbhavbamba-nemo13b-dpo-og-v3-mkmlizer: Downloaded to shared memory in 28.884s
udbhavbamba-nemo13b-dpo-og-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp5ig7z0ib, device:0
udbhavbamba-nemo13b-dpo-og-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
udbhavbamba-nemo13b-dpo-og-v3-mkmlizer: quantized model in 36.531s
udbhavbamba-nemo13b-dpo-og-v3-mkmlizer: Processed model udbhavbamba/nemo13b_dpo_og in 65.430s
udbhavbamba-nemo13b-dpo-og-v3-mkmlizer: creating bucket guanaco-mkml-models
udbhavbamba-nemo13b-dpo-og-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
udbhavbamba-nemo13b-dpo-og-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/udbhavbamba-nemo13b-dpo-og-v3
udbhavbamba-nemo13b-dpo-og-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/udbhavbamba-nemo13b-dpo-og-v3/config.json
udbhavbamba-nemo13b-dpo-og-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/udbhavbamba-nemo13b-dpo-og-v3/special_tokens_map.json
udbhavbamba-nemo13b-dpo-og-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/udbhavbamba-nemo13b-dpo-og-v3/tokenizer_config.json
udbhavbamba-nemo13b-dpo-og-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/udbhavbamba-nemo13b-dpo-og-v3/tokenizer.json
udbhavbamba-nemo13b-dpo-og-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/udbhavbamba-nemo13b-dpo-og-v3/flywheel_model.0.safetensors
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Job udbhavbamba-nemo13b-dpo-og-v3-mkmlizer completed after 114.67s with status: succeeded
Stopping job with name udbhavbamba-nemo13b-dpo-og-v3-mkmlizer
Pipeline stage MKMLizer completed in 115.58s
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Creating inference service udbhavbamba-nemo13b-dpo-og-v3
Waiting for inference service udbhavbamba-nemo13b-dpo-og-v3 to be ready
Inference service udbhavbamba-nemo13b-dpo-og-v3 ready after 90.4170470237732s
Pipeline stage MKMLDeployer completed in 91.02s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.3758981227874756s
Received healthy response to inference request in 1.6680550575256348s
Received healthy response to inference request in 1.8872861862182617s
Received healthy response to inference request in 1.796658992767334s
Received healthy response to inference request in 1.729659080505371s
5 requests
0 failed requests
5th percentile: 1.680375862121582
10th percentile: 1.6926966667175294
20th percentile: 1.7173382759094238
30th percentile: 1.7430590629577636
40th percentile: 1.7698590278625488
50th percentile: 1.796658992767334
60th percentile: 1.8329098701477051
70th percentile: 1.8691607475280763
80th percentile: 1.9850085735321046
90th percentile: 2.18045334815979
95th percentile: 2.2781757354736327
99th percentile: 2.356353645324707
mean time: 1.8915114879608155
Pipeline stage StressChecker completed in 10.72s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.63s
Shutdown handler de-registered
udbhavbamba-nemo13b-dpo-og_v3 status is now deployed due to DeploymentManager action
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2677.61s
Shutdown handler de-registered
udbhavbamba-nemo13b-dpo-og_v3 status is now inactive due to auto deactivation removed underperforming models
udbhavbamba-nemo13b-dpo-og_v3 status is now torndown due to DeploymentManager action