developer_uid: NischayDnk
submission_id: chaiml-exp79-dpo-exp13s_48530_v1
model_name: chaiml-exp79-dpo-exp13s_48530_v1
model_group: ChaiML/exp79-dpo-exp13sf
status: torndown
timestamp: 2025-03-13T20:56:37+00:00
num_battles: 7255
num_wins: 3789
celo_rating: 1295.05
family_friendly_score: 0.5522
family_friendly_standard_error: 0.007032427177013638
submission_type: basic
model_repo: ChaiML/exp79-dpo-exp13sft-24B-ssdelfilteredv10v11
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': 0.36696192008648937, 'latency_mean': 2.7249775981903075, 'latency_p50': 2.7372039556503296, 'latency_p90': 3.017571306228638}, {'batch_size': 2, 'throughput': 0.5764581876345175, 'latency_mean': 3.464375184774399, 'latency_p50': 3.495878219604492, 'latency_p90': 3.8157485008239744}, {'batch_size': 3, 'throughput': 0.7318504032164627, 'latency_mean': 4.09139775633812, 'latency_p50': 4.0877296924591064, 'latency_p90': 4.524214959144592}, {'batch_size': 4, 'throughput': 0.8498506702882027, 'latency_mean': 4.681192302703858, 'latency_p50': 4.684796333312988, 'latency_p90': 5.197955989837647}, {'batch_size': 5, 'throughput': 0.9498024838784328, 'latency_mean': 5.232207109928131, 'latency_p50': 5.168409943580627, 'latency_p90': 5.916357398033142}]
gpu_counts: {'NVIDIA RTX A6000': 1}
display_name: chaiml-exp79-dpo-exp13s_48530_v1
is_internal_developer: False
language_model: ChaiML/exp79-dpo-exp13sft-24B-ssdelfilteredv10v11
model_size: 24B
ranking_group: single
throughput_3p7s: 0.64
us_pacific_date: 2025-03-13
win_ratio: 0.5222605099931082
generation_params: {'temperature': 0.5, 'top_p': 0.95, 'min_p': 0.025, 'top_k': 70, 'presence_penalty': 0.45, 'frequency_penalty': 0.45, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '[INST]<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{bot_name}:[/INST]', '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-exp79-dpo-exp13s-48530-v1-mkmlizer
Waiting for job on chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer to finish
chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer: ║ _____ __ __ ║
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chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer: ║ /___/ ║
chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer: ║ ║
chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer: ║ Version: 0.12.8 ║
chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer: ║ ║
chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer: ║ belonging to: ║
chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer: ║ ║
chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer: ║ ║
chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer: Downloaded to shared memory in 83.211s
chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp0qce0jwu, device:0
chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer: quantized model in 53.502s
chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer: Processed model ChaiML/exp79-dpo-exp13sft-24B-ssdelfilteredv10v11 in 136.714s
chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-exp79-dpo-exp13s-48530-v1
chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-exp79-dpo-exp13s-48530-v1/config.json
chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-exp79-dpo-exp13s-48530-v1/special_tokens_map.json
chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-exp79-dpo-exp13s-48530-v1/tokenizer_config.json
chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-exp79-dpo-exp13s-48530-v1/tokenizer.json
chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-exp79-dpo-exp13s-48530-v1/flywheel_model.1.safetensors
chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-exp79-dpo-exp13s-48530-v1/flywheel_model.0.safetensors
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Job chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer completed after 165.1s with status: succeeded
Stopping job with name chaiml-exp79-dpo-exp13s-48530-v1-mkmlizer
Pipeline stage MKMLizer completed in 165.63s
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Creating inference service chaiml-exp79-dpo-exp13s-48530-v1
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Inference service chaiml-exp79-dpo-exp13s-48530-v1 ready after 100.53340697288513s
Pipeline stage MKMLDeployer completed in 101.05s
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Running pipeline stage StressChecker
Received healthy response to inference request in 3.619405508041382s
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Received healthy response to inference request in 2.7376508712768555s
Received healthy response to inference request in 2.704695463180542s
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5th percentile: 2.7102228164672852
10th percentile: 2.7157501697540285
20th percentile: 2.7268048763275146
30th percentile: 2.7333959579467773
40th percentile: 2.7355234146118166
50th percentile: 2.7376508712768555
60th percentile: 2.7779932975769044
70th percentile: 2.8183357238769533
80th percentile: 2.9946866512298587
90th percentile: 3.30704607963562
95th percentile: 3.4632257938385007
99th percentile: 3.5881695652008054
mean time: 2.926518201828003
Pipeline stage StressChecker completed in 16.00s
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