developer_uid: rirv938
submission_id: rirv938-mistral-24b-bas_54279_v3
model_name: rirv938-mistral-24b-bas_54279_v3
model_group: rirv938/mistral_24b_base
status: torndown
timestamp: 2025-03-06T19:14:21+00:00
num_battles: 10519
num_wins: 5541
celo_rating: 1307.19
family_friendly_score: 0.5194
family_friendly_standard_error: 0.00706574327300391
submission_type: basic
model_repo: rirv938/mistral_24b_base_2_dpo_40k_95w_pref_2500_v2
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 768
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.38900204863365695, 'latency_mean': 2.5706166088581086, 'latency_p50': 2.564936876296997, 'latency_p90': 2.8681512117385863}, {'batch_size': 3, 'throughput': 0.7937615372312332, 'latency_mean': 3.7548616552352905, 'latency_p50': 3.736309289932251, 'latency_p90': 4.132608389854431}, {'batch_size': 5, 'throughput': 1.045736166187845, 'latency_mean': 4.770849093198776, 'latency_p50': 4.797813296318054, 'latency_p90': 5.2606394529342655}, {'batch_size': 6, 'throughput': 1.1243297596182023, 'latency_mean': 5.299572468996048, 'latency_p50': 5.372524261474609, 'latency_p90': 5.950618958473205}, {'batch_size': 10, 'throughput': 1.2911891481306064, 'latency_mean': 7.656659054756164, 'latency_p50': 7.655922532081604, 'latency_p90': 8.655880498886109}]
gpu_counts: {'NVIDIA RTX A6000': 1}
display_name: rirv938-mistral-24b-bas_54279_v3
is_internal_developer: True
language_model: rirv938/mistral_24b_base_2_dpo_40k_95w_pref_2500_v2
model_size: 24B
ranking_group: single
throughput_3p7s: 0.79
us_pacific_date: 2025-03-06
win_ratio: 0.5267610989637799
generation_params: {'temperature': 0.9, 'top_p': 0.9, 'min_p': 0.6, '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': '[INST]', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '[/INST]{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-mistral-24b-bas-54279-v3-mkmlizer
Waiting for job on rirv938-mistral-24b-bas-54279-v3-mkmlizer to finish
rirv938-mistral-24b-bas-54279-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rirv938-mistral-24b-bas-54279-v3-mkmlizer: ║ _____ __ __ ║
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rirv938-mistral-24b-bas-54279-v3-mkmlizer: ║ /___/ ║
rirv938-mistral-24b-bas-54279-v3-mkmlizer: ║ ║
rirv938-mistral-24b-bas-54279-v3-mkmlizer: ║ Version: 0.12.8 ║
rirv938-mistral-24b-bas-54279-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
rirv938-mistral-24b-bas-54279-v3-mkmlizer: ║ https://mk1.ai ║
rirv938-mistral-24b-bas-54279-v3-mkmlizer: ║ ║
rirv938-mistral-24b-bas-54279-v3-mkmlizer: ║ The license key for the current software has been verified as ║
rirv938-mistral-24b-bas-54279-v3-mkmlizer: ║ belonging to: ║
rirv938-mistral-24b-bas-54279-v3-mkmlizer: ║ ║
rirv938-mistral-24b-bas-54279-v3-mkmlizer: ║ Chai Research Corp. ║
rirv938-mistral-24b-bas-54279-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rirv938-mistral-24b-bas-54279-v3-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
rirv938-mistral-24b-bas-54279-v3-mkmlizer: ║ ║
rirv938-mistral-24b-bas-54279-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rirv938-mistral-24b-bas-54279-v3-mkmlizer: Downloaded to shared memory in 126.774s
rirv938-mistral-24b-bas-54279-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp1ggdxbip, device:0
rirv938-mistral-24b-bas-54279-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Retrying (%r) after connection broken by '%r': %s
rirv938-mistral-24b-bas-54279-v3-mkmlizer: quantized model in 61.906s
rirv938-mistral-24b-bas-54279-v3-mkmlizer: Processed model rirv938/mistral_24b_base_2_dpo_40k_95w_pref_2500_v2 in 188.680s
rirv938-mistral-24b-bas-54279-v3-mkmlizer: creating bucket guanaco-mkml-models
rirv938-mistral-24b-bas-54279-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rirv938-mistral-24b-bas-54279-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rirv938-mistral-24b-bas-54279-v3
rirv938-mistral-24b-bas-54279-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rirv938-mistral-24b-bas-54279-v3/config.json
rirv938-mistral-24b-bas-54279-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rirv938-mistral-24b-bas-54279-v3/special_tokens_map.json
rirv938-mistral-24b-bas-54279-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rirv938-mistral-24b-bas-54279-v3/tokenizer_config.json
rirv938-mistral-24b-bas-54279-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rirv938-mistral-24b-bas-54279-v3/tokenizer.json
rirv938-mistral-24b-bas-54279-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/rirv938-mistral-24b-bas-54279-v3/flywheel_model.1.safetensors
rirv938-mistral-24b-bas-54279-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rirv938-mistral-24b-bas-54279-v3/flywheel_model.0.safetensors
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Job rirv938-mistral-24b-bas-54279-v3-mkmlizer completed after 215.97s with status: succeeded
Stopping job with name rirv938-mistral-24b-bas-54279-v3-mkmlizer
Pipeline stage MKMLizer completed in 216.44s
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Creating inference service rirv938-mistral-24b-bas-54279-v3
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Inference service rirv938-mistral-24b-bas-54279-v3 ready after 100.34916162490845s
Pipeline stage MKMLDeployer completed in 100.86s
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Running pipeline stage StressChecker
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Received healthy response to inference request in 2.571591854095459s
Received healthy response to inference request in 2.5203425884246826s
Received healthy response to inference request in 2.835587501525879s
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5th percentile: 2.5032485485076905
10th percentile: 2.5075220584869387
20th percentile: 2.5160690784454345
30th percentile: 2.530592441558838
40th percentile: 2.5510921478271484
50th percentile: 2.571591854095459
60th percentile: 2.6771901130676268
70th percentile: 2.782788372039795
80th percentile: 2.867314338684082
90th percentile: 2.9307680130004883
95th percentile: 2.9624948501586914
99th percentile: 2.987876319885254
mean time: 2.6841437339782717
Pipeline stage StressChecker completed in 14.68s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.63s
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Pipeline stage OfflineFamilyFriendlyScorer completed in 5434.47s
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