developer_uid: NischayDnk
submission_id: chaiml-mistral32-24b-sf_16627_v2
model_name: chaiml-mistral32-24b-sf_16627_v2
model_group: ChaiML/mistral32-24b-sft
status: torndown
timestamp: 2025-06-27T21:15:26+00:00
num_battles: 7891
num_wins: 3919
celo_rating: 1283.07
family_friendly_score: 0.5542
family_friendly_standard_error: 0.007029400543431851
submission_type: basic
model_repo: ChaiML/mistral32-24b-sfts1-exp1-highqualityjun27-s400-lora-4e
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5277909810685496, 'latency_mean': 1.8945914816856384, 'latency_p50': 1.8815263509750366, 'latency_p90': 2.112738752365112}, {'batch_size': 3, 'throughput': 1.0562356466304825, 'latency_mean': 2.83496622800827, 'latency_p50': 2.8214221000671387, 'latency_p90': 3.1299014329910277}, {'batch_size': 5, 'throughput': 1.3249379589223693, 'latency_mean': 3.73671049952507, 'latency_p50': 3.740010619163513, 'latency_p90': 4.162140846252441}, {'batch_size': 6, 'throughput': 1.4543558869089115, 'latency_mean': 4.106425030231476, 'latency_p50': 4.071225881576538, 'latency_p90': 4.689615988731385}, {'batch_size': 8, 'throughput': 1.576155809288478, 'latency_mean': 5.03874612569809, 'latency_p50': 5.01887845993042, 'latency_p90': 5.608173990249634}, {'batch_size': 10, 'throughput': 1.6559170473325215, 'latency_mean': 5.965067920684814, 'latency_p50': 5.9382712841033936, 'latency_p90': 6.78719687461853}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-mistral32-24b-sf_16627_v2
is_internal_developer: False
language_model: ChaiML/mistral32-24b-sfts1-exp1-highqualityjun27-s400-lora-4e
model_size: 24B
ranking_group: single
throughput_3p7s: 1.33
us_pacific_date: 2025-06-27
win_ratio: 0.49664174375871245
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': ['\n', '<|im_start|>', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '<|system|>{bot_name}{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-mistral32-24b-sf-16627-v2-mkmlizer
Waiting for job on chaiml-mistral32-24b-sf-16627-v2-mkmlizer to finish
chaiml-mistral32-24b-sf-16627-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral32-24b-sf-16627-v2-mkmlizer: ║ ║
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chaiml-mistral32-24b-sf-16627-v2-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
chaiml-mistral32-24b-sf-16627-v2-mkmlizer: ║ ║
chaiml-mistral32-24b-sf-16627-v2-mkmlizer: ║ Version: 0.29.3 ║
chaiml-mistral32-24b-sf-16627-v2-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-mistral32-24b-sf-16627-v2-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistral32-24b-sf-16627-v2-mkmlizer: ║ https://mk1.ai ║
chaiml-mistral32-24b-sf-16627-v2-mkmlizer: ║ ║
chaiml-mistral32-24b-sf-16627-v2-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-mistral32-24b-sf-16627-v2-mkmlizer: ║ belonging to: ║
chaiml-mistral32-24b-sf-16627-v2-mkmlizer: ║ ║
chaiml-mistral32-24b-sf-16627-v2-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistral32-24b-sf-16627-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral32-24b-sf-16627-v2-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-mistral32-24b-sf-16627-v2-mkmlizer: ║ ║
chaiml-mistral32-24b-sf-16627-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral32-24b-sf-16627-v2-mkmlizer: Downloaded to shared memory in 55.710s
chaiml-mistral32-24b-sf-16627-v2-mkmlizer: Checking if ChaiML/mistral32-24b-sfts1-exp1-highqualityjun27-s400-lora-4e already exists in ChaiML
chaiml-mistral32-24b-sf-16627-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpldyr_1h4, device:0
chaiml-mistral32-24b-sf-16627-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral32-24b-sf-16627-v2-mkmlizer: quantized model in 48.371s
chaiml-mistral32-24b-sf-16627-v2-mkmlizer: Processed model ChaiML/mistral32-24b-sfts1-exp1-highqualityjun27-s400-lora-4e in 104.082s
chaiml-mistral32-24b-sf-16627-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral32-24b-sf-16627-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral32-24b-sf-16627-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral32-24b-sf-16627-v2
chaiml-mistral32-24b-sf-16627-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral32-24b-sf-16627-v2/config.json
chaiml-mistral32-24b-sf-16627-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral32-24b-sf-16627-v2/special_tokens_map.json
chaiml-mistral32-24b-sf-16627-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral32-24b-sf-16627-v2/tokenizer_config.json
chaiml-mistral32-24b-sf-16627-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral32-24b-sf-16627-v2/tokenizer.json
chaiml-mistral32-24b-sf-16627-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mistral32-24b-sf-16627-v2/flywheel_model.1.safetensors
chaiml-mistral32-24b-sf-16627-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral32-24b-sf-16627-v2/flywheel_model.0.safetensors
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Job chaiml-mistral32-24b-sf-16627-v2-mkmlizer completed after 135.6s with status: succeeded
Stopping job with name chaiml-mistral32-24b-sf-16627-v2-mkmlizer
Pipeline stage MKMLizer completed in 136.26s
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Inference service chaiml-mistral32-24b-sf-16627-v2 ready after 150.56751251220703s
Pipeline stage MKMLDeployer completed in 151.11s
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Received healthy response to inference request in 1.9134669303894043s
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5th percentile: 1.9058844566345214
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20th percentile: 1.9115713119506836
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70th percentile: 2.0370522022247313
80th percentile: 2.133966302871704
90th percentile: 2.2788601398468016
95th percentile: 2.3513070583343505
99th percentile: 2.4092645931243895
mean time: 2.048382520675659
Pipeline stage StressChecker completed in 12.59s
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