rirv938-100p-0ff-rirv93_34920

developer_uid: rirv938

submission_id: rirv938-100p-0ff-rirv93_34920_v2

model_name: rirv938-100p-0ff-rirv93_34920_v2

model_group: rirv938/100p_0ff_rirv938

status: torndown

timestamp: 2025-04-21T16:43:24+00:00

num_battles: 8515

num_wins: 4327

celo_rating: 1294.24

family_friendly_score: 0.5434

family_friendly_standard_error: 0.007044379887541557

submission_type: basic

model_repo: rirv938/100p_0ff_rirv938_mistral_24b_lex__1090_v2_cp374_merged

model_architecture: MistralForCausalLM

model_num_parameters: 24096691200.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

reward_model: default

latencies: [{'batch_size': 1, 'throughput': 0.373543407754076, 'latency_mean': 2.67697181224823, 'latency_p50': 2.663087487220764, 'latency_p90': 2.9690250873565676}, {'batch_size': 2, 'throughput': 0.5752104563289833, 'latency_mean': 3.472752515077591, 'latency_p50': 3.4649075269699097, 'latency_p90': 3.8198999881744387}, {'batch_size': 3, 'throughput': 0.7201995391941327, 'latency_mean': 4.15195263504982, 'latency_p50': 4.164494872093201, 'latency_p90': 4.566864943504333}, {'batch_size': 4, 'throughput': 0.8421062048925222, 'latency_mean': 4.730798785686493, 'latency_p50': 4.734036087989807, 'latency_p90': 5.330251884460449}, {'batch_size': 5, 'throughput': 0.927593646687768, 'latency_mean': 5.356959912776947, 'latency_p50': 5.373147130012512, 'latency_p90': 5.997257876396179}]

gpu_counts: {'NVIDIA RTX A6000': 1}

display_name: rirv938-100p-0ff-rirv93_34920_v2

is_internal_developer: True

language_model: rirv938/100p_0ff_rirv938_mistral_24b_lex__1090_v2_cp374_merged

model_size: 24B

ranking_group: single

throughput_3p7s: 0.63

us_pacific_date: 2025-04-21

win_ratio: 0.5081620669406929

generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.6, 'top_k': 80, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['\n', 'You:', '</s>', '###'], 'max_input_tokens': 1024, 'best_of': 8, '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 rirv938-100p-0ff-rirv93-34920-v2-mkmlizer
Waiting for job on rirv938-100p-0ff-rirv93-34920-v2-mkmlizer to finish
Failed to get response for submission jellywibble-sam-montgom_38443_v1: HTTPConnectionPool(host='jellywibble-sam-montgom-38443-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
rirv938-100p-0ff-rirv93-34920-v2-mkmlizer: quantized model in 63.577s
rirv938-100p-0ff-rirv93-34920-v2-mkmlizer: Processed model rirv938/100p_0ff_rirv938_mistral_24b_lex__1090_v2_cp374_merged in 227.418s
rirv938-100p-0ff-rirv93-34920-v2-mkmlizer: creating bucket guanaco-mkml-models
rirv938-100p-0ff-rirv93-34920-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rirv938-100p-0ff-rirv93-34920-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rirv938-100p-0ff-rirv93-34920-v2
rirv938-100p-0ff-rirv93-34920-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rirv938-100p-0ff-rirv93-34920-v2/config.json
rirv938-100p-0ff-rirv93-34920-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rirv938-100p-0ff-rirv93-34920-v2/special_tokens_map.json
rirv938-100p-0ff-rirv93-34920-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rirv938-100p-0ff-rirv93-34920-v2/tokenizer_config.json
rirv938-100p-0ff-rirv93-34920-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rirv938-100p-0ff-rirv93-34920-v2/tokenizer.json
rirv938-100p-0ff-rirv93-34920-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/rirv938-100p-0ff-rirv93-34920-v2/flywheel_model.1.safetensors
rirv938-100p-0ff-rirv93-34920-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rirv938-100p-0ff-rirv93-34920-v2/flywheel_model.0.safetensors
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Job rirv938-100p-0ff-rirv93-34920-v2-mkmlizer completed after 258.88s with status: succeeded
Stopping job with name rirv938-100p-0ff-rirv93-34920-v2-mkmlizer
Pipeline stage MKMLizer completed in 259.34s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
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Running pipeline stage MKMLDeployer
Creating inference service rirv938-100p-0ff-rirv93-34920-v2
Waiting for inference service rirv938-100p-0ff-rirv93-34920-v2 to be ready
Failed to get response for submission jellywibble-sam-montgom_38443_v1: HTTPConnectionPool(host='jellywibble-sam-montgom-38443-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service rirv938-100p-0ff-rirv93-34920-v2 ready after 130.54705381393433s
Pipeline stage MKMLDeployer completed in 131.04s
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Running pipeline stage StressChecker
Received healthy response to inference request in 3.1810555458068848s
Received healthy response to inference request in 2.4748406410217285s
Received healthy response to inference request in 2.793323516845703s
Received healthy response to inference request in 2.5719072818756104s
Received healthy response to inference request in 2.684804677963257s
5 requests
0 failed requests
5th percentile: 2.494253969192505
10th percentile: 2.5136672973632814
20th percentile: 2.552493953704834
30th percentile: 2.5944867610931395
40th percentile: 2.639645719528198
50th percentile: 2.684804677963257
60th percentile: 2.7282122135162354
70th percentile: 2.771619749069214
80th percentile: 2.8708699226379397
90th percentile: 3.025962734222412
95th percentile: 3.103509140014648
99th percentile: 3.1655462646484374
mean time: 2.741186332702637
Pipeline stage StressChecker completed in 15.40s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.70s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.64s
Shutdown handler de-registered
rirv938-100p-0ff-rirv93_34920_v2 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Running pipeline stage MKMLProfilerDeleter
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.09s
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Creating inference service rirv938-100p-0ff-rirv93-34920-v2-profiler
Waiting for inference service rirv938-100p-0ff-rirv93-34920-v2-profiler to be ready
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 4472.57s
Shutdown handler de-registered
rirv938-100p-0ff-rirv93_34920_v2 status is now inactive due to auto deactivation removed underperforming models
rirv938-100p-0ff-rirv93_34920_v2 status is now torndown due to DeploymentManager action