developer_uid: NischayDnk
submission_id: chaiml-exp89-dpo-megasf_72574_v1
model_name: chaiml-exp89-dpo-megasf_72574_v1
model_group: ChaiML/exp89-dpo-megasft
status: torndown
timestamp: 2025-03-16T20:40:04+00:00
num_battles: 7127
num_wins: 3789
celo_rating: 1301.2
family_friendly_score: 0.42200000000000004
family_friendly_standard_error: 0.006984497118619207
submission_type: basic
model_repo: ChaiML/exp89-dpo-megasfte2-24B-ssdelfilteredv10v11-simpo
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': 0.37184621552387875, 'latency_mean': 2.689219778776169, 'latency_p50': 2.6787742376327515, 'latency_p90': 2.994445466995239}, {'batch_size': 2, 'throughput': 0.5689549162273014, 'latency_mean': 3.5103405237197878, 'latency_p50': 3.518949508666992, 'latency_p90': 3.805882787704468}, {'batch_size': 3, 'throughput': 0.7317483553110863, 'latency_mean': 4.075588780641556, 'latency_p50': 4.067051649093628, 'latency_p90': 4.493559956550598}, {'batch_size': 4, 'throughput': 0.8477258061497791, 'latency_mean': 4.700405822992325, 'latency_p50': 4.679707050323486, 'latency_p90': 5.297829937934876}, {'batch_size': 5, 'throughput': 0.9398316404911118, 'latency_mean': 5.29621546626091, 'latency_p50': 5.240585923194885, 'latency_p90': 6.024877095222473}]
gpu_counts: {'NVIDIA RTX A6000': 1}
display_name: chaiml-exp89-dpo-megasf_72574_v1
is_internal_developer: False
language_model: ChaiML/exp89-dpo-megasfte2-24B-ssdelfilteredv10v11-simpo
model_size: 24B
ranking_group: single
throughput_3p7s: 0.63
us_pacific_date: 2025-03-16
win_ratio: 0.5316402413357654
generation_params: {'temperature': 0.4, 'top_p': 0.96, 'min_p': 0.025, 'top_k': 80, '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-exp89-dpo-megasf-72574-v1-mkmlizer
Waiting for job on chaiml-exp89-dpo-megasf-72574-v1-mkmlizer to finish
chaiml-exp89-dpo-megasf-72574-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-exp89-dpo-megasf-72574-v1-mkmlizer: ║ _____ __ __ ║
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chaiml-exp89-dpo-megasf-72574-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
chaiml-exp89-dpo-megasf-72574-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
chaiml-exp89-dpo-megasf-72574-v1-mkmlizer: ║ /___/ ║
chaiml-exp89-dpo-megasf-72574-v1-mkmlizer: ║ ║
chaiml-exp89-dpo-megasf-72574-v1-mkmlizer: ║ Version: 0.12.8 ║
chaiml-exp89-dpo-megasf-72574-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-exp89-dpo-megasf-72574-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-exp89-dpo-megasf-72574-v1-mkmlizer: ║ ║
chaiml-exp89-dpo-megasf-72574-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-exp89-dpo-megasf-72574-v1-mkmlizer: ║ belonging to: ║
chaiml-exp89-dpo-megasf-72574-v1-mkmlizer: ║ ║
chaiml-exp89-dpo-megasf-72574-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-exp89-dpo-megasf-72574-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-exp89-dpo-megasf-72574-v1-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
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chaiml-exp89-dpo-megasf-72574-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Failed to get response for submission jellywibble-enzo-mafia-enemy_v14: HTTPConnectionPool(host='jellywibble-enzo-mafia-enemy-v14-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
chaiml-exp89-dpo-megasf-72574-v1-mkmlizer: quantized model in 53.499s
chaiml-exp89-dpo-megasf-72574-v1-mkmlizer: Processed model ChaiML/exp89-dpo-megasfte2-24B-ssdelfilteredv10v11-simpo in 136.394s
chaiml-exp89-dpo-megasf-72574-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-exp89-dpo-megasf-72574-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-exp89-dpo-megasf-72574-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-exp89-dpo-megasf-72574-v1
chaiml-exp89-dpo-megasf-72574-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-exp89-dpo-megasf-72574-v1/config.json
chaiml-exp89-dpo-megasf-72574-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-exp89-dpo-megasf-72574-v1/special_tokens_map.json
chaiml-exp89-dpo-megasf-72574-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-exp89-dpo-megasf-72574-v1/tokenizer_config.json
chaiml-exp89-dpo-megasf-72574-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-exp89-dpo-megasf-72574-v1/tokenizer.json
chaiml-exp89-dpo-megasf-72574-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-exp89-dpo-megasf-72574-v1/flywheel_model.1.safetensors
chaiml-exp89-dpo-megasf-72574-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-exp89-dpo-megasf-72574-v1/flywheel_model.0.safetensors
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Job chaiml-exp89-dpo-megasf-72574-v1-mkmlizer completed after 166.46s with status: succeeded
Stopping job with name chaiml-exp89-dpo-megasf-72574-v1-mkmlizer
Pipeline stage MKMLizer completed in 166.92s
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Creating inference service chaiml-exp89-dpo-megasf-72574-v1
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Inference service chaiml-exp89-dpo-megasf-72574-v1 ready after 90.61699104309082s
Pipeline stage MKMLDeployer completed in 91.11s
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Received healthy response to inference request in 3.6113617420196533s
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Received healthy response to inference request in 2.4684677124023438s
Received healthy response to inference request in 2.506969690322876s
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5th percentile: 2.4761681079864504
10th percentile: 2.4838685035705566
20th percentile: 2.4992692947387694
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40th percentile: 2.5501575469970703
50th percentile: 2.578949451446533
60th percentile: 2.5994940757751466
70th percentile: 2.62003870010376
80th percentile: 2.826521158218384
90th percentile: 3.2189414501190186
95th percentile: 3.415151596069336
99th percentile: 3.57211971282959
mean time: 2.7592119216918944
Pipeline stage StressChecker completed in 15.17s
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