developer_uid: NischayDnk
submission_id: chaiml-mistral-24b-simp_99503_v1
model_name: chaiml-mistral-24b-simp_99503_v1
model_group: ChaiML/mistral-24b-simpo
status: torndown
timestamp: 2025-05-01T04:15:19+00:00
num_battles: 6932
num_wins: 3963
celo_rating: 1342.02
family_friendly_score: 0.5272
family_friendly_standard_error: 0.00706059714188538
submission_type: basic
model_repo: ChaiML/mistral-24b-simpoexp2-s1-AvA-retrysftfull-2e
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': 0.5545488969790939, 'latency_mean': 1.803198424577713, 'latency_p50': 1.8087613582611084, 'latency_p90': 1.9930729150772093}, {'batch_size': 4, 'throughput': 1.397127537768055, 'latency_mean': 2.8375423777103426, 'latency_p50': 2.8194761276245117, 'latency_p90': 3.165912961959839}, {'batch_size': 5, 'throughput': 1.5565152962643944, 'latency_mean': 3.1927432227134704, 'latency_p50': 3.220732092857361, 'latency_p90': 3.5235097646713256}, {'batch_size': 8, 'throughput': 1.8946966737191269, 'latency_mean': 4.196742869615555, 'latency_p50': 4.204629302024841, 'latency_p90': 4.674197101593017}, {'batch_size': 10, 'throughput': 2.013000806183425, 'latency_mean': 4.915349286794663, 'latency_p50': 4.976610541343689, 'latency_p90': 5.497645592689514}, {'batch_size': 12, 'throughput': 2.124348875572951, 'latency_mean': 5.5860130000114445, 'latency_p50': 5.535366535186768, 'latency_p90': 6.405618619918823}, {'batch_size': 15, 'throughput': 2.144793537445573, 'latency_mean': 6.90215912938118, 'latency_p50': 6.865902900695801, 'latency_p90': 7.7608750581741335}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-mistral-24b-simp_99503_v1
is_internal_developer: False
language_model: ChaiML/mistral-24b-simpoexp2-s1-AvA-retrysftfull-2e
model_size: 24B
ranking_group: single
throughput_3p7s: 1.76
us_pacific_date: 2025-04-30
win_ratio: 0.5716964800923254
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': 768, 'best_of': 8, '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-mistral-24b-simp-99503-v1-mkmlizer
Waiting for job on chaiml-mistral-24b-simp-99503-v1-mkmlizer to finish
chaiml-mistral-24b-simp-99503-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral-24b-simp-99503-v1-mkmlizer: ║ _____ __ __ ║
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chaiml-mistral-24b-simp-99503-v1-mkmlizer: ║ /___/ ║
chaiml-mistral-24b-simp-99503-v1-mkmlizer: ║ ║
chaiml-mistral-24b-simp-99503-v1-mkmlizer: ║ Version: 0.12.8 ║
chaiml-mistral-24b-simp-99503-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistral-24b-simp-99503-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-mistral-24b-simp-99503-v1-mkmlizer: ║ ║
chaiml-mistral-24b-simp-99503-v1-mkmlizer: ║ The license key for the current software has been verified as ║
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chaiml-mistral-24b-simp-99503-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistral-24b-simp-99503-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral-24b-simp-99503-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
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chaiml-mistral-24b-simp-99503-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral-24b-simp-99503-v1-mkmlizer: Downloaded to shared memory in 77.460s
chaiml-mistral-24b-simp-99503-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmplah11xn3, device:0
chaiml-mistral-24b-simp-99503-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral-24b-simp-99503-v1-mkmlizer: quantized model in 53.382s
chaiml-mistral-24b-simp-99503-v1-mkmlizer: Processed model ChaiML/mistral-24b-simpoexp2-s1-AvA-retrysftfull-2e in 130.842s
chaiml-mistral-24b-simp-99503-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-24b-simp-99503-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-24b-simp-99503-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-24b-simp-99503-v1
chaiml-mistral-24b-simp-99503-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-24b-simp-99503-v1/special_tokens_map.json
chaiml-mistral-24b-simp-99503-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-24b-simp-99503-v1/config.json
chaiml-mistral-24b-simp-99503-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-24b-simp-99503-v1/tokenizer_config.json
chaiml-mistral-24b-simp-99503-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral-24b-simp-99503-v1/tokenizer.json
chaiml-mistral-24b-simp-99503-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-simp-99503-v1/flywheel_model.1.safetensors
chaiml-mistral-24b-simp-99503-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral-24b-simp-99503-v1/flywheel_model.0.safetensors
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Job chaiml-mistral-24b-simp-99503-v1-mkmlizer completed after 166.5s with status: succeeded
Stopping job with name chaiml-mistral-24b-simp-99503-v1-mkmlizer
Pipeline stage MKMLizer completed in 167.01s
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Creating inference service chaiml-mistral-24b-simp-99503-v1
Waiting for inference service chaiml-mistral-24b-simp-99503-v1 to be ready
Inference service chaiml-mistral-24b-simp-99503-v1 ready after 150.51302647590637s
Pipeline stage MKMLDeployer completed in 151.02s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.853205919265747s
Received healthy response to inference request in 2.0474493503570557s
Received healthy response to inference request in 2.061579704284668s
Received healthy response to inference request in 1.9860849380493164s
Received healthy response to inference request in 1.9620304107666016s
5 requests
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5th percentile: 1.9668413162231446
10th percentile: 1.9716522216796875
20th percentile: 1.9812740325927733
30th percentile: 1.9983578205108643
40th percentile: 2.02290358543396
50th percentile: 2.0474493503570557
60th percentile: 2.0531014919281008
70th percentile: 2.0587536334991454
80th percentile: 2.219904947280884
90th percentile: 2.5365554332733153
95th percentile: 2.694880676269531
99th percentile: 2.821540870666504
mean time: 2.1820700645446776
Pipeline stage StressChecker completed in 12.62s
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