developer_uid: NischayDnk
submission_id: chaiml-mistral32-sfts1-_65891_v1
model_name: chaiml-mistral32-sfts1-_65891_v1
model_group: ChaiML/mistral32-sfts1-t
status: torndown
timestamp: 2025-06-26T18:27:19+00:00
num_battles: 7171
num_wins: 3665
celo_rating: 1288.76
family_friendly_score: 0.5247999999999999
family_friendly_standard_error: 0.007062364476575816
submission_type: basic
model_repo: ChaiML/mistral32-sfts1-top5kblend20jun-seq2048-mask
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 6
max_input_tokens: 2048
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.4492211775699833, 'latency_mean': 2.225953642129898, 'latency_p50': 2.227705955505371, 'latency_p90': 2.432227110862732}, {'batch_size': 3, 'throughput': 0.8279304571372907, 'latency_mean': 3.614012166261673, 'latency_p50': 3.5885132551193237, 'latency_p90': 4.002959752082824}, {'batch_size': 5, 'throughput': 1.0160340376479993, 'latency_mean': 4.895693563222885, 'latency_p50': 4.883423089981079, 'latency_p90': 5.567953562736511}, {'batch_size': 6, 'throughput': 1.0681292991197167, 'latency_mean': 5.581873162984848, 'latency_p50': 5.579191446304321, 'latency_p90': 6.339192414283753}, {'batch_size': 10, 'throughput': 1.1993507704837691, 'latency_mean': 8.279267745018005, 'latency_p50': 8.195480942726135, 'latency_p90': 9.521701622009278}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-mistral32-sfts1-_65891_v1
is_internal_developer: False
language_model: ChaiML/mistral32-sfts1-top5kblend20jun-seq2048-mask
model_size: 24B
ranking_group: single
throughput_3p7s: 0.85
us_pacific_date: 2025-06-26
win_ratio: 0.5110863198995956
generation_params: {'temperature': 0.45, 'top_p': 0.95, 'min_p': 0.025, 'top_k': 60, 'presence_penalty': 0.4, 'frequency_penalty': 0.4, 'stopping_words': ['<|im_start|>', '\n', '<|im_end|>'], 'max_input_tokens': 2048, 'best_of': 6, 'max_output_tokens': 64}
formatter: {'memory_template': '<|system|>Family Friendly{memory}\n', 'prompt_template': '', 'bot_template': '<|im_start|>assistant\n{message}<|im_end|>\n', 'user_template': '<|im_start|>user\nYou:{message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n', '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-mistral32-sfts1-65891-v1-mkmlizer
Waiting for job on chaiml-mistral32-sfts1-65891-v1-mkmlizer to finish
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chaiml-mistral32-sfts1-65891-v1-mkmlizer: ║ ║
chaiml-mistral32-sfts1-65891-v1-mkmlizer: ║ Version: 0.29.3 ║
chaiml-mistral32-sfts1-65891-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-mistral32-sfts1-65891-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistral32-sfts1-65891-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-mistral32-sfts1-65891-v1-mkmlizer: ║ ║
chaiml-mistral32-sfts1-65891-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-mistral32-sfts1-65891-v1-mkmlizer: ║ belonging to: ║
chaiml-mistral32-sfts1-65891-v1-mkmlizer: ║ ║
chaiml-mistral32-sfts1-65891-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistral32-sfts1-65891-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral32-sfts1-65891-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-mistral32-sfts1-65891-v1-mkmlizer: ║ ║
chaiml-mistral32-sfts1-65891-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral32-sfts1-65891-v1-mkmlizer: Downloaded to shared memory in 77.491s
chaiml-mistral32-sfts1-65891-v1-mkmlizer: Checking if ChaiML/mistral32-sfts1-top5kblend20jun-seq2048-mask already exists in ChaiML
chaiml-mistral32-sfts1-65891-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpi4k5oqbu, device:0
chaiml-mistral32-sfts1-65891-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral32-sfts1-65891-v1-mkmlizer: quantized model in 47.853s
chaiml-mistral32-sfts1-65891-v1-mkmlizer: Processed model ChaiML/mistral32-sfts1-top5kblend20jun-seq2048-mask in 125.344s
chaiml-mistral32-sfts1-65891-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral32-sfts1-65891-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral32-sfts1-65891-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral32-sfts1-65891-v1
chaiml-mistral32-sfts1-65891-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral32-sfts1-65891-v1/config.json
chaiml-mistral32-sfts1-65891-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral32-sfts1-65891-v1/special_tokens_map.json
chaiml-mistral32-sfts1-65891-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral32-sfts1-65891-v1/tokenizer_config.json
chaiml-mistral32-sfts1-65891-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral32-sfts1-65891-v1/tokenizer.json
chaiml-mistral32-sfts1-65891-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mistral32-sfts1-65891-v1/flywheel_model.1.safetensors
chaiml-mistral32-sfts1-65891-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral32-sfts1-65891-v1/flywheel_model.0.safetensors
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Job chaiml-mistral32-sfts1-65891-v1-mkmlizer completed after 155.51s with status: succeeded
Stopping job with name chaiml-mistral32-sfts1-65891-v1-mkmlizer
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Inference service chaiml-mistral32-sfts1-65891-v1 ready after 150.5574986934662s
Pipeline stage MKMLDeployer completed in 151.42s
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Received healthy response to inference request in 2.899193286895752s
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Received healthy response to inference request in 1.9606883525848389s
Received healthy response to inference request in 2.357360601425171s
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5th percentile: 1.978304147720337
10th percentile: 1.995919942855835
20th percentile: 2.031151533126831
30th percentile: 2.054508924484253
40th percentile: 2.0659921169281006
50th percentile: 2.0774753093719482
60th percentile: 2.189429426193237
70th percentile: 2.301383543014526
80th percentile: 2.4657271385192874
90th percentile: 2.6824602127075194
95th percentile: 2.7908267498016355
99th percentile: 2.877519979476929
mean time: 2.268696975708008
Pipeline stage StressChecker completed in 13.20s
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