developer_uid: rirv938
submission_id: rirv938-tune-mistral-gr_58521_v1
model_name: rirv938-tune-mistral-gr_58521_v1
model_group: rirv938/tune_mistral_grp
status: torndown
timestamp: 2025-05-01T16:32:19+00:00
num_battles: 6092
num_wins: 3572
celo_rating: 1345.5
family_friendly_score: 0.597
family_friendly_standard_error: 0.006936728335461898
submission_type: basic
model_repo: rirv938/tune_mistral_grpo_cp1184_92ff_new_merged
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 768
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.550000842939119, 'latency_mean': 1.8181105744838715, 'latency_p50': 1.818008303642273, 'latency_p90': 2.0231704473495484}, {'batch_size': 3, 'throughput': 1.159978399968866, 'latency_mean': 2.5808839094638825, 'latency_p50': 2.5719186067581177, 'latency_p90': 2.8849044322967528}, {'batch_size': 5, 'throughput': 1.5224097923331286, 'latency_mean': 3.253735067844391, 'latency_p50': 3.204201579093933, 'latency_p90': 3.697920560836792}, {'batch_size': 6, 'throughput': 1.6622969767979998, 'latency_mean': 3.5875390326976775, 'latency_p50': 3.571089744567871, 'latency_p90': 4.029027032852173}, {'batch_size': 8, 'throughput': 1.8311566472490233, 'latency_mean': 4.335883492231369, 'latency_p50': 4.377238869667053, 'latency_p90': 4.847524547576905}, {'batch_size': 10, 'throughput': 1.9628336724560524, 'latency_mean': 5.063341798782349, 'latency_p50': 5.054078817367554, 'latency_p90': 5.721257758140564}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: rirv938-tune-mistral-gr_58521_v1
is_internal_developer: True
language_model: rirv938/tune_mistral_grpo_cp1184_92ff_new_merged
model_size: 24B
ranking_group: single
throughput_3p7s: 1.7
us_pacific_date: 2025-05-01
win_ratio: 0.5863427445830598
generation_params: {'temperature': 0.9, 'top_p': 0.9, 'min_p': 0.2, 'top_k': 80, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['###', '</s>', 'You:', '\n'], 'max_input_tokens': 768, '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-tune-mistral-gr-58521-v1-mkmlizer
Waiting for job on rirv938-tune-mistral-gr-58521-v1-mkmlizer to finish
rirv938-tune-mistral-gr-58521-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rirv938-tune-mistral-gr-58521-v1-mkmlizer: ║ _____ __ __ ║
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rirv938-tune-mistral-gr-58521-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
rirv938-tune-mistral-gr-58521-v1-mkmlizer: ║ /___/ ║
rirv938-tune-mistral-gr-58521-v1-mkmlizer: ║ ║
rirv938-tune-mistral-gr-58521-v1-mkmlizer: ║ Version: 0.12.8 ║
rirv938-tune-mistral-gr-58521-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
rirv938-tune-mistral-gr-58521-v1-mkmlizer: ║ https://mk1.ai ║
rirv938-tune-mistral-gr-58521-v1-mkmlizer: ║ ║
rirv938-tune-mistral-gr-58521-v1-mkmlizer: ║ The license key for the current software has been verified as ║
rirv938-tune-mistral-gr-58521-v1-mkmlizer: ║ belonging to: ║
rirv938-tune-mistral-gr-58521-v1-mkmlizer: ║ ║
rirv938-tune-mistral-gr-58521-v1-mkmlizer: ║ Chai Research Corp. ║
rirv938-tune-mistral-gr-58521-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rirv938-tune-mistral-gr-58521-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
rirv938-tune-mistral-gr-58521-v1-mkmlizer: ║ ║
rirv938-tune-mistral-gr-58521-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rirv938-tune-mistral-gr-58521-v1-mkmlizer: Downloaded to shared memory in 173.418s
rirv938-tune-mistral-gr-58521-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpktfyyg1_, device:0
rirv938-tune-mistral-gr-58521-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission bogoconic1-nemo-280k-s6_46455_v1: HTTPConnectionPool(host='bogoconic1-nemo-280k-s6-46455-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
rirv938-tune-mistral-gr-58521-v1-mkmlizer: quantized model in 62.069s
rirv938-tune-mistral-gr-58521-v1-mkmlizer: Processed model rirv938/tune_mistral_grpo_cp1184_92ff_new_merged in 235.488s
rirv938-tune-mistral-gr-58521-v1-mkmlizer: creating bucket guanaco-mkml-models
rirv938-tune-mistral-gr-58521-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rirv938-tune-mistral-gr-58521-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rirv938-tune-mistral-gr-58521-v1
rirv938-tune-mistral-gr-58521-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rirv938-tune-mistral-gr-58521-v1/config.json
rirv938-tune-mistral-gr-58521-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rirv938-tune-mistral-gr-58521-v1/special_tokens_map.json
rirv938-tune-mistral-gr-58521-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rirv938-tune-mistral-gr-58521-v1/tokenizer_config.json
rirv938-tune-mistral-gr-58521-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rirv938-tune-mistral-gr-58521-v1/tokenizer.json
rirv938-tune-mistral-gr-58521-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/rirv938-tune-mistral-gr-58521-v1/flywheel_model.1.safetensors
rirv938-tune-mistral-gr-58521-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rirv938-tune-mistral-gr-58521-v1/flywheel_model.0.safetensors
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Job rirv938-tune-mistral-gr-58521-v1-mkmlizer completed after 258.86s with status: succeeded
Stopping job with name rirv938-tune-mistral-gr-58521-v1-mkmlizer
Pipeline stage MKMLizer completed in 259.50s
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Inference service rirv938-tune-mistral-gr-58521-v1 ready after 140.59407258033752s
Pipeline stage MKMLDeployer completed in 141.01s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.668208599090576s
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Received healthy response to inference request in 2.2337052822113037s
Received healthy response to inference request in 1.921924352645874s
Received healthy response to inference request in 2.1508963108062744s
5 requests
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5th percentile: 1.967718744277954
10th percentile: 2.013513135910034
20th percentile: 2.1051019191741944
30th percentile: 2.1573345184326174
40th percentile: 2.170210933685303
50th percentile: 2.1830873489379883
60th percentile: 2.2033345222473146
70th percentile: 2.2235816955566405
80th percentile: 2.3206059455871584
90th percentile: 2.4944072723388673
95th percentile: 2.5813079357147215
99th percentile: 2.650828466415405
mean time: 2.2315643787384034
Pipeline stage StressChecker completed in 12.62s
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