developer_uid: NischayDnk
submission_id: chaiml-mistral32-sfts1-_65891_v2
model_name: chaiml-mistral32-sfts1-_65891_v2
model_group: ChaiML/mistral32-sfts1-t
status: torndown
timestamp: 2025-06-26T18:29:27+00:00
num_battles: 7920
num_wins: 4079
celo_rating: 1291.71
family_friendly_score: 0.5286
family_friendly_standard_error: 0.007059490633183105
submission_type: basic
model_repo: ChaiML/mistral32-sfts1-top5kblend20jun-seq2048-mask
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 5
max_input_tokens: 1800
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.46966135493502226, 'latency_mean': 2.129067180156708, 'latency_p50': 2.1314347982406616, 'latency_p90': 2.324891471862793}, {'batch_size': 3, 'throughput': 0.9049017075108717, 'latency_mean': 3.298954609632492, 'latency_p50': 3.2819344997406006, 'latency_p90': 3.6116917371749877}, {'batch_size': 5, 'throughput': 1.1279123312065162, 'latency_mean': 4.420720570087433, 'latency_p50': 4.40394401550293, 'latency_p90': 4.9065485239028925}, {'batch_size': 6, 'throughput': 1.1962833377741016, 'latency_mean': 4.988382259607315, 'latency_p50': 5.005738735198975, 'latency_p90': 5.552970814704895}, {'batch_size': 8, 'throughput': 1.281127660546107, 'latency_mean': 6.200715255737305, 'latency_p50': 6.213620543479919, 'latency_p90': 6.8865234375}, {'batch_size': 10, 'throughput': 1.3462650382356416, 'latency_mean': 7.377033874988556, 'latency_p50': 7.404730796813965, 'latency_p90': 8.263368916511535}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-mistral32-sfts1-_65891_v2
is_internal_developer: False
language_model: ChaiML/mistral32-sfts1-top5kblend20jun-seq2048-mask
model_size: 24B
ranking_group: single
throughput_3p7s: 1.0
us_pacific_date: 2025-06-26
win_ratio: 0.5150252525252526
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_end|>', '\n', '<|im_start|>'], 'max_input_tokens': 1800, 'best_of': 5, '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
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Running pipeline stage MKMLizer
Starting job with name chaiml-mistral32-sfts1-65891-v2-mkmlizer
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chaiml-mistral32-sfts1-65891-v2-mkmlizer: ║ ║
chaiml-mistral32-sfts1-65891-v2-mkmlizer: ║ Version: 0.29.3 ║
chaiml-mistral32-sfts1-65891-v2-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-mistral32-sfts1-65891-v2-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistral32-sfts1-65891-v2-mkmlizer: ║ https://mk1.ai ║
chaiml-mistral32-sfts1-65891-v2-mkmlizer: ║ ║
chaiml-mistral32-sfts1-65891-v2-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-mistral32-sfts1-65891-v2-mkmlizer: ║ belonging to: ║
chaiml-mistral32-sfts1-65891-v2-mkmlizer: ║ ║
chaiml-mistral32-sfts1-65891-v2-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistral32-sfts1-65891-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral32-sfts1-65891-v2-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-mistral32-sfts1-65891-v2-mkmlizer: ║ ║
chaiml-mistral32-sfts1-65891-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral32-sfts1-65891-v2-mkmlizer: Downloaded to shared memory in 67.717s
chaiml-mistral32-sfts1-65891-v2-mkmlizer: Checking if ChaiML/mistral32-sfts1-top5kblend20jun-seq2048-mask already exists in ChaiML
chaiml-mistral32-sfts1-65891-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpeey3hfr8, device:0
chaiml-mistral32-sfts1-65891-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral32-sfts1-65891-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral32-sfts1-65891-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral32-sfts1-65891-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral32-sfts1-65891-v2
chaiml-mistral32-sfts1-65891-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral32-sfts1-65891-v2/config.json
chaiml-mistral32-sfts1-65891-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral32-sfts1-65891-v2/special_tokens_map.json
chaiml-mistral32-sfts1-65891-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral32-sfts1-65891-v2/tokenizer_config.json
chaiml-mistral32-sfts1-65891-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral32-sfts1-65891-v2/tokenizer.json
chaiml-mistral32-sfts1-65891-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mistral32-sfts1-65891-v2/flywheel_model.1.safetensors
chaiml-mistral32-sfts1-65891-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral32-sfts1-65891-v2/flywheel_model.0.safetensors
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Job chaiml-mistral32-sfts1-65891-v2-mkmlizer completed after 146.44s with status: succeeded
Stopping job with name chaiml-mistral32-sfts1-65891-v2-mkmlizer
Pipeline stage MKMLizer completed in 146.98s
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Creating inference service chaiml-mistral32-sfts1-65891-v2
Waiting for inference service chaiml-mistral32-sfts1-65891-v2 to be ready
Inference service chaiml-mistral32-sfts1-65891-v2 ready after 150.5695822238922s
Pipeline stage MKMLDeployer completed in 151.19s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.724973678588867s
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Received healthy response to inference request in 1.8740715980529785s
Received healthy response to inference request in 2.07161283493042s
Received healthy response to inference request in 1.8474526405334473s
5 requests
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5th percentile: 1.8527764320373534
10th percentile: 1.8581002235412598
20th percentile: 1.8687478065490724
30th percentile: 1.9135798454284667
40th percentile: 1.9925963401794433
50th percentile: 2.07161283493042
60th percentile: 2.080877590179443
70th percentile: 2.090142345428467
80th percentile: 2.2208145141601565
90th percentile: 2.4728940963745116
95th percentile: 2.598933887481689
99th percentile: 2.6997657203674317
mean time: 2.122577095031738
Pipeline stage StressChecker completed in 12.51s
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Evaluating %s Family Friendly Score with %s threads
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