developer_uid: chai_backend_admin
submission_id: chaiml-ssnew-v7-1a-dpo-_72829_v1
model_name: training123
model_group: ChaiML/ssnew-v7-1a-dpo_c
status: torndown
timestamp: 2025-11-24T03:21:12+00:00
num_battles: 6124
num_wins: 3114
celo_rating: 1301.97
family_friendly_score: 0.5138
family_friendly_standard_error: 0.007068374070463447
submission_type: basic
model_repo: ChaiML/ssnew-v7-1a-dpo_cosineb025
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.44792820996291394, 'latency_mean': 2.2323972749710084, 'latency_p50': 2.229581832885742, 'latency_p90': 2.434783434867859}, {'batch_size': 2, 'throughput': 0.6716566396017494, 'latency_mean': 2.975724557638168, 'latency_p50': 2.9715112447738647, 'latency_p90': 3.23343563079834}, {'batch_size': 3, 'throughput': 0.8289379772202358, 'latency_mean': 3.6133299291133882, 'latency_p50': 3.586232900619507, 'latency_p90': 3.9372392177581785}, {'batch_size': 4, 'throughput': 0.9209246588100953, 'latency_mean': 4.314950095415115, 'latency_p50': 4.346283555030823, 'latency_p90': 4.713650393486023}, {'batch_size': 5, 'throughput': 0.9862813875821895, 'latency_mean': 5.040188757181167, 'latency_p50': 5.0397467613220215, 'latency_p90': 5.640796422958374}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: training123
is_internal_developer: True
language_model: ChaiML/ssnew-v7-1a-dpo_cosineb025
model_size: 24B
ranking_group: single
throughput_3p7s: 0.84
us_pacific_date: 2025-11-20
win_ratio: 0.508491182233834
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['You:', '</s>', '\n', 'User:'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '####\n{bot_name}:', 'truncate_by_message': True}
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-ssnew-v7-1a-dpo-72829-v1-mkmlizer
Waiting for job on chaiml-ssnew-v7-1a-dpo-72829-v1-mkmlizer to finish
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chaiml-ssnew-v7-1a-dpo-72829-v1-mkmlizer: ║ ║
chaiml-ssnew-v7-1a-dpo-72829-v1-mkmlizer: ║ Version: 0.30.2 ║
chaiml-ssnew-v7-1a-dpo-72829-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-ssnew-v7-1a-dpo-72829-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-ssnew-v7-1a-dpo-72829-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-ssnew-v7-1a-dpo-72829-v1-mkmlizer: ║ ║
chaiml-ssnew-v7-1a-dpo-72829-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-ssnew-v7-1a-dpo-72829-v1-mkmlizer: ║ belonging to: ║
chaiml-ssnew-v7-1a-dpo-72829-v1-mkmlizer: ║ ║
chaiml-ssnew-v7-1a-dpo-72829-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-ssnew-v7-1a-dpo-72829-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-ssnew-v7-1a-dpo-72829-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-ssnew-v7-1a-dpo-72829-v1-mkmlizer: ║ ║
chaiml-ssnew-v7-1a-dpo-72829-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-ssnew-v7-1a-dpo-72829-v1-mkmlizer: Downloaded to shared memory in 94.866s
chaiml-ssnew-v7-1a-dpo-72829-v1-mkmlizer: Checking if ChaiML/ssnew-v7-1a-dpo_cosineb025 already exists in ChaiML
chaiml-ssnew-v7-1a-dpo-72829-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpxe8eto4w, device:0
chaiml-ssnew-v7-1a-dpo-72829-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-ssnew-v7-1a-dpo-72829-v1-mkmlizer: quantized model in 46.126s
chaiml-ssnew-v7-1a-dpo-72829-v1-mkmlizer: Processed model ChaiML/ssnew-v7-1a-dpo_cosineb025 in 140.993s
chaiml-ssnew-v7-1a-dpo-72829-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-ssnew-v7-1a-dpo-72829-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-ssnew-v7-1a-dpo-72829-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-ssnew-v7-1a-dpo-72829-v1/nvidia
chaiml-ssnew-v7-1a-dpo-72829-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-ssnew-v7-1a-dpo-72829-v1/nvidia/config.json
chaiml-ssnew-v7-1a-dpo-72829-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-ssnew-v7-1a-dpo-72829-v1/nvidia/special_tokens_map.json
chaiml-ssnew-v7-1a-dpo-72829-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-ssnew-v7-1a-dpo-72829-v1/nvidia/tokenizer_config.json
chaiml-ssnew-v7-1a-dpo-72829-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-ssnew-v7-1a-dpo-72829-v1/nvidia/tokenizer.json
chaiml-ssnew-v7-1a-dpo-72829-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-ssnew-v7-1a-dpo-72829-v1/nvidia/flywheel_model.0.safetensors
chaiml-ssnew-v7-1a-dpo-72829-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-ssnew-v7-1a-dpo-72829-v1/nvidia/flywheel_model.1.safetensors
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Job chaiml-ssnew-v7-1a-dpo-72829-v1-mkmlizer completed after 185.21s with status: succeeded
Stopping job with name chaiml-ssnew-v7-1a-dpo-72829-v1-mkmlizer
Pipeline stage MKMLizer completed in 185.78s
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Inference service chaiml-ssnew-v7-1a-dpo-72829-v1 ready after 141.0285050868988s
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5th percentile: 1.7281172752380372
10th percentile: 1.7318347454071046
20th percentile: 1.7392696857452392
30th percentile: 1.760173511505127
40th percentile: 1.7945462226867677
50th percentile: 1.8289189338684082
60th percentile: 1.8425493240356445
70th percentile: 1.8561797142028809
80th percentile: 1.9071735858917236
90th percentile: 1.995530939102173
95th percentile: 2.0397096157073973
99th percentile: 2.075052556991577
mean time: 1.8486378192901611
Pipeline stage StressChecker completed in 10.69s
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