developer_uid: azuruce
submission_id: chaiml-mistral-nemo-simp_9350_v1
model_name: chaiml-mistral-nemo-simp_9350_v1
model_group: ChaiML/mistral_nemo_simp
status: inactive
timestamp: 2024-12-15T23:15:04+00:00
num_battles: 9198
num_wins: 4661
celo_rating: 1233.09
family_friendly_score: 0.5884
family_friendly_standard_error: 0.006959675854520813
submission_type: basic
model_repo: ChaiML/mistral_nemo_simpo_baseline_albert_20241213_v1-checkpoint-312
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6303749755582079, 'latency_mean': 1.5862616658210755, 'latency_p50': 1.5857492685317993, 'latency_p90': 1.7348938703536987}, {'batch_size': 3, 'throughput': 1.2759463490549432, 'latency_mean': 2.3477713310718538, 'latency_p50': 2.329327940940857, 'latency_p90': 2.588418984413147}, {'batch_size': 5, 'throughput': 1.6001158653234695, 'latency_mean': 3.1094691276550295, 'latency_p50': 3.1254639625549316, 'latency_p90': 3.4909920930862426}, {'batch_size': 6, 'throughput': 1.7036271071172648, 'latency_mean': 3.501246995925903, 'latency_p50': 3.481496810913086, 'latency_p90': 3.925909090042114}, {'batch_size': 8, 'throughput': 1.8667601783123455, 'latency_mean': 4.259843261241913, 'latency_p50': 4.279096007347107, 'latency_p90': 4.798094177246094}, {'batch_size': 10, 'throughput': 1.9325764960361014, 'latency_mean': 5.135330152511597, 'latency_p50': 5.139218211174011, 'latency_p90': 5.788753461837769}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: chaiml-mistral-nemo-simp_9350_v1
is_internal_developer: True
language_model: ChaiML/mistral_nemo_simpo_baseline_albert_20241213_v1-checkpoint-312
model_size: 13B
ranking_group: single
throughput_3p7s: 1.76
us_pacific_date: 2024-12-15
win_ratio: 0.5067405957816917
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 100, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '####', 'Bot:', 'User:', 'You:', '<|im_end|>', '<|eot_id|>'], 'max_input_tokens': 1024, 'best_of': 4, 'max_output_tokens': 64}
formatter: {'memory_template': '', 'prompt_template': '', '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 chaiml-mistral-nemo-simp-9350-v1-mkmlizer
Waiting for job on chaiml-mistral-nemo-simp-9350-v1-mkmlizer to finish
chaiml-mistral-nemo-simp-9350-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral-nemo-simp-9350-v1-mkmlizer: ║ _____ __ __ ║
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chaiml-mistral-nemo-simp-9350-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
chaiml-mistral-nemo-simp-9350-v1-mkmlizer: ║ /___/ ║
chaiml-mistral-nemo-simp-9350-v1-mkmlizer: ║ ║
chaiml-mistral-nemo-simp-9350-v1-mkmlizer: ║ Version: 0.11.12 ║
chaiml-mistral-nemo-simp-9350-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistral-nemo-simp-9350-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-mistral-nemo-simp-9350-v1-mkmlizer: ║ ║
chaiml-mistral-nemo-simp-9350-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-mistral-nemo-simp-9350-v1-mkmlizer: ║ belonging to: ║
chaiml-mistral-nemo-simp-9350-v1-mkmlizer: ║ ║
chaiml-mistral-nemo-simp-9350-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistral-nemo-simp-9350-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral-nemo-simp-9350-v1-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
chaiml-mistral-nemo-simp-9350-v1-mkmlizer: ║ ║
chaiml-mistral-nemo-simp-9350-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral-nemo-simp-9350-v1-mkmlizer: Downloaded to shared memory in 48.411s
chaiml-mistral-nemo-simp-9350-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpy2kfi9lx, device:0
chaiml-mistral-nemo-simp-9350-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral-nemo-simp-9350-v1-mkmlizer: quantized model in 39.527s
chaiml-mistral-nemo-simp-9350-v1-mkmlizer: Processed model ChaiML/mistral_nemo_simpo_baseline_albert_20241213_v1-checkpoint-312 in 87.939s
chaiml-mistral-nemo-simp-9350-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-nemo-simp-9350-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-nemo-simp-9350-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-9350-v1
chaiml-mistral-nemo-simp-9350-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-9350-v1/special_tokens_map.json
chaiml-mistral-nemo-simp-9350-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-9350-v1/config.json
chaiml-mistral-nemo-simp-9350-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-9350-v1/tokenizer_config.json
chaiml-mistral-nemo-simp-9350-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-9350-v1/tokenizer.json
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Job chaiml-mistral-nemo-simp-9350-v1-mkmlizer completed after 125.02s with status: succeeded
Stopping job with name chaiml-mistral-nemo-simp-9350-v1-mkmlizer
Pipeline stage MKMLizer completed in 125.51s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-mistral-nemo-simp-9350-v1
Waiting for inference service chaiml-mistral-nemo-simp-9350-v1 to be ready
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Inference service chaiml-mistral-nemo-simp-9350-v1 ready after 211.18901586532593s
Pipeline stage MKMLDeployer completed in 211.66s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.9614455699920654s
Received healthy response to inference request in 0.9406423568725586s
Received healthy response to inference request in 0.9823622703552246s
Received healthy response to inference request in 1.280343770980835s
Received healthy response to inference request in 1.1354916095733643s
5 requests
0 failed requests
5th percentile: 0.9489863395690918
10th percentile: 0.957330322265625
20th percentile: 0.9740182876586914
30th percentile: 1.0129881381988526
40th percentile: 1.0742398738861083
50th percentile: 1.1354916095733643
60th percentile: 1.1934324741363525
70th percentile: 1.2513733386993409
80th percentile: 1.4165641307830812
90th percentile: 1.6890048503875734
95th percentile: 1.8252252101898192
99th percentile: 1.9342014980316162
mean time: 1.2600571155548095
Pipeline stage StressChecker completed in 7.48s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 2.08s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 1.96s
Shutdown handler de-registered
chaiml-mistral-nemo-simp_9350_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2467.74s
Shutdown handler de-registered
chaiml-mistral-nemo-simp_9350_v1 status is now inactive due to auto deactivation removed underperforming models