developer_uid: rirv938
submission_id: rirv938-tune-mistral-gr_51403_v1
model_name: rirv938-tune-mistral-gr_51403_v1
model_group: rirv938/tune_mistral_grp
status: torndown
timestamp: 2025-04-30T23:58:42+00:00
num_battles: 6324
num_wins: 3292
celo_rating: 1304.09
family_friendly_score: 0.5562
family_friendly_standard_error: 0.007026258748437891
submission_type: basic
model_repo: rirv938/tune_mistral_grpo_cp592_92ff_v3_run3_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': 0.557223008616424, 'latency_mean': 1.7945466840267181, 'latency_p50': 1.8120332956314087, 'latency_p90': 1.9983741521835328}, {'batch_size': 4, 'throughput': 1.3808179298795231, 'latency_mean': 2.8790260410308837, 'latency_p50': 2.8775447607040405, 'latency_p90': 3.2044829368591308}, {'batch_size': 5, 'throughput': 1.549339238732302, 'latency_mean': 3.2174955868721007, 'latency_p50': 3.216069459915161, 'latency_p90': 3.6503391981124875}, {'batch_size': 8, 'throughput': 1.8933399214740692, 'latency_mean': 4.213166184425354, 'latency_p50': 4.2043997049331665, 'latency_p90': 4.777025127410888}, {'batch_size': 10, 'throughput': 1.9865971908842468, 'latency_mean': 4.980484048128128, 'latency_p50': 5.044927597045898, 'latency_p90': 5.627157664299011}, {'batch_size': 12, 'throughput': 2.0864722509466525, 'latency_mean': 5.686320195198059, 'latency_p50': 5.736629962921143, 'latency_p90': 6.591671204566955}, {'batch_size': 15, 'throughput': 2.130459102273198, 'latency_mean': 6.952828440666199, 'latency_p50': 6.9354599714279175, 'latency_p90': 7.9846714496612545}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: rirv938-tune-mistral-gr_51403_v1
is_internal_developer: True
language_model: rirv938/tune_mistral_grpo_cp592_92ff_v3_run3_merged
model_size: 24B
ranking_group: single
throughput_3p7s: 1.74
us_pacific_date: 2025-04-30
win_ratio: 0.5205566097406704
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': ['\n', '</s>', 'You:', '###'], '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-51403-v1-mkmlizer
Waiting for job on rirv938-tune-mistral-gr-51403-v1-mkmlizer to finish
rirv938-tune-mistral-gr-51403-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rirv938-tune-mistral-gr-51403-v1-mkmlizer: ║ _____ __ __ ║
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rirv938-tune-mistral-gr-51403-v1-mkmlizer: ║ /___/ ║
rirv938-tune-mistral-gr-51403-v1-mkmlizer: ║ ║
rirv938-tune-mistral-gr-51403-v1-mkmlizer: ║ Version: 0.12.8 ║
rirv938-tune-mistral-gr-51403-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
rirv938-tune-mistral-gr-51403-v1-mkmlizer: ║ https://mk1.ai ║
rirv938-tune-mistral-gr-51403-v1-mkmlizer: ║ ║
rirv938-tune-mistral-gr-51403-v1-mkmlizer: ║ The license key for the current software has been verified as ║
rirv938-tune-mistral-gr-51403-v1-mkmlizer: ║ belonging to: ║
rirv938-tune-mistral-gr-51403-v1-mkmlizer: ║ ║
rirv938-tune-mistral-gr-51403-v1-mkmlizer: ║ Chai Research Corp. ║
rirv938-tune-mistral-gr-51403-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rirv938-tune-mistral-gr-51403-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
rirv938-tune-mistral-gr-51403-v1-mkmlizer: ║ ║
rirv938-tune-mistral-gr-51403-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rirv938-tune-mistral-gr-51403-v1-mkmlizer: Downloaded to shared memory in 184.429s
rirv938-tune-mistral-gr-51403-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp0gqc3jdj, device:0
rirv938-tune-mistral-gr-51403-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rirv938-tune-mistral-gr-51403-v1-mkmlizer: quantized model in 66.704s
rirv938-tune-mistral-gr-51403-v1-mkmlizer: Processed model rirv938/tune_mistral_grpo_cp592_92ff_v3_run3_merged in 251.135s
rirv938-tune-mistral-gr-51403-v1-mkmlizer: creating bucket guanaco-mkml-models
rirv938-tune-mistral-gr-51403-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rirv938-tune-mistral-gr-51403-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rirv938-tune-mistral-gr-51403-v1
rirv938-tune-mistral-gr-51403-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rirv938-tune-mistral-gr-51403-v1/config.json
rirv938-tune-mistral-gr-51403-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rirv938-tune-mistral-gr-51403-v1/special_tokens_map.json
rirv938-tune-mistral-gr-51403-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rirv938-tune-mistral-gr-51403-v1/tokenizer_config.json
rirv938-tune-mistral-gr-51403-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rirv938-tune-mistral-gr-51403-v1/tokenizer.json
rirv938-tune-mistral-gr-51403-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/rirv938-tune-mistral-gr-51403-v1/flywheel_model.1.safetensors
rirv938-tune-mistral-gr-51403-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rirv938-tune-mistral-gr-51403-v1/flywheel_model.0.safetensors
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Job rirv938-tune-mistral-gr-51403-v1-mkmlizer completed after 278.56s with status: succeeded
Stopping job with name rirv938-tune-mistral-gr-51403-v1-mkmlizer
Pipeline stage MKMLizer completed in 279.01s
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Creating inference service rirv938-tune-mistral-gr-51403-v1
Waiting for inference service rirv938-tune-mistral-gr-51403-v1 to be ready
Inference service rirv938-tune-mistral-gr-51403-v1 ready after 140.47783493995667s
Pipeline stage MKMLDeployer completed in 140.97s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.415665864944458s
Received healthy response to inference request in 2.105619430541992s
Received healthy response to inference request in 2.329936981201172s
Received healthy response to inference request in 1.8098843097686768s
Received healthy response to inference request in 1.787353277206421s
5 requests
0 failed requests
5th percentile: 1.7918594837188722
10th percentile: 1.7963656902313232
20th percentile: 1.8053781032562255
30th percentile: 1.8690313339233398
40th percentile: 1.987325382232666
50th percentile: 2.105619430541992
60th percentile: 2.195346450805664
70th percentile: 2.285073471069336
80th percentile: 2.347082757949829
90th percentile: 2.3813743114471437
95th percentile: 2.398520088195801
99th percentile: 2.4122367095947266
mean time: 2.089691972732544
Pipeline stage StressChecker completed in 11.86s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.61s
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Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2751.42s
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rirv938-tune-mistral-gr_51403_v1 status is now inactive due to auto deactivation removed underperforming models
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