developer_uid: bogoconic1
submission_id: chaiml-gy-exp133-dpo-ex_75916_v2
model_name: chaiml-gy-exp133-dpo-ex_75916_v2
model_group: ChaiML/gy-exp133-dpo-exp
status: torndown
timestamp: 2025-07-09T12:09:28+00:00
num_battles: 8562
num_wins: 4449
celo_rating: 1306.63
family_friendly_score: 0.5127999999999999
family_friendly_standard_error: 0.007068750384615374
submission_type: basic
model_repo: ChaiML/gy-exp133-dpo-exp78ep2s2-maxlen1280-exp122data-ep2
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': 0.520365483360288, 'latency_mean': 1.9216265416145324, 'latency_p50': 1.935275912284851, 'latency_p90': 2.128498601913452}, {'batch_size': 3, 'throughput': 1.033283303775788, 'latency_mean': 2.888561807870865, 'latency_p50': 2.8969907760620117, 'latency_p90': 3.1982545137405394}, {'batch_size': 5, 'throughput': 1.3248338001720525, 'latency_mean': 3.7590734457969663, 'latency_p50': 3.7344177961349487, 'latency_p90': 4.29920003414154}, {'batch_size': 6, 'throughput': 1.4020572261130009, 'latency_mean': 4.238473473787308, 'latency_p50': 4.2830973863601685, 'latency_p90': 4.752487802505493}, {'batch_size': 8, 'throughput': 1.5387616263101564, 'latency_mean': 5.160820633172989, 'latency_p50': 5.1664323806762695, 'latency_p90': 5.7542551279067995}, {'batch_size': 10, 'throughput': 1.6221100987335548, 'latency_mean': 6.124396394491196, 'latency_p50': 6.0925068855285645, 'latency_p90': 6.8201438903808596}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-gy-exp133-dpo-ex_75916_v2
is_internal_developer: False
language_model: ChaiML/gy-exp133-dpo-exp78ep2s2-maxlen1280-exp122data-ep2
model_size: 24B
ranking_group: single
throughput_3p7s: 1.31
us_pacific_date: 2025-07-09
win_ratio: 0.5196215837421163
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 80, 'presence_penalty': 0.4, 'frequency_penalty': 0.4, 'stopping_words': ['<|im_end|>', '\n', '<|im_start|>'], 'max_input_tokens': 1024, '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': 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-gy-exp133-dpo-ex-75916-v2-mkmlizer
Waiting for job on chaiml-gy-exp133-dpo-ex-75916-v2-mkmlizer to finish
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chaiml-gy-exp133-dpo-ex-75916-v2-mkmlizer: ║ ║
chaiml-gy-exp133-dpo-ex-75916-v2-mkmlizer: ║ Version: 0.29.15 ║
chaiml-gy-exp133-dpo-ex-75916-v2-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-gy-exp133-dpo-ex-75916-v2-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-gy-exp133-dpo-ex-75916-v2-mkmlizer: ║ https://mk1.ai ║
chaiml-gy-exp133-dpo-ex-75916-v2-mkmlizer: ║ ║
chaiml-gy-exp133-dpo-ex-75916-v2-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-gy-exp133-dpo-ex-75916-v2-mkmlizer: ║ belonging to: ║
chaiml-gy-exp133-dpo-ex-75916-v2-mkmlizer: ║ ║
chaiml-gy-exp133-dpo-ex-75916-v2-mkmlizer: ║ Chai Research Corp. ║
chaiml-gy-exp133-dpo-ex-75916-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-gy-exp133-dpo-ex-75916-v2-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-gy-exp133-dpo-ex-75916-v2-mkmlizer: ║ ║
chaiml-gy-exp133-dpo-ex-75916-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-gy-exp133-dpo-ex-75916-v2-mkmlizer: Downloaded to shared memory in 92.888s
chaiml-gy-exp133-dpo-ex-75916-v2-mkmlizer: Checking if ChaiML/gy-exp133-dpo-exp78ep2s2-maxlen1280-exp122data-ep2 already exists in ChaiML
chaiml-gy-exp133-dpo-ex-75916-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpd9zsmf8d, device:0
chaiml-gy-exp133-dpo-ex-75916-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-gy-exp133-dpo-ex-75916-v2-mkmlizer: quantized model in 48.920s
chaiml-gy-exp133-dpo-ex-75916-v2-mkmlizer: Processed model ChaiML/gy-exp133-dpo-exp78ep2s2-maxlen1280-exp122data-ep2 in 141.809s
chaiml-gy-exp133-dpo-ex-75916-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-gy-exp133-dpo-ex-75916-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-gy-exp133-dpo-ex-75916-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-gy-exp133-dpo-ex-75916-v2/nvidia
chaiml-gy-exp133-dpo-ex-75916-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-gy-exp133-dpo-ex-75916-v2/nvidia/config.json
chaiml-gy-exp133-dpo-ex-75916-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-gy-exp133-dpo-ex-75916-v2/nvidia/special_tokens_map.json
chaiml-gy-exp133-dpo-ex-75916-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-gy-exp133-dpo-ex-75916-v2/nvidia/tokenizer_config.json
chaiml-gy-exp133-dpo-ex-75916-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-gy-exp133-dpo-ex-75916-v2/nvidia/tokenizer.json
chaiml-gy-exp133-dpo-ex-75916-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-gy-exp133-dpo-ex-75916-v2/nvidia/flywheel_model.1.safetensors
chaiml-gy-exp133-dpo-ex-75916-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-gy-exp133-dpo-ex-75916-v2/nvidia/flywheel_model.0.safetensors
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Job chaiml-gy-exp133-dpo-ex-75916-v2-mkmlizer completed after 166.49s with status: succeeded
Stopping job with name chaiml-gy-exp133-dpo-ex-75916-v2-mkmlizer
Pipeline stage MKMLizer completed in 167.05s
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Inference service chaiml-gy-exp133-dpo-ex-75916-v2 ready after 210.80642938613892s
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5th percentile: 1.9275094032287599
10th percentile: 1.9518730163574218
20th percentile: 2.000600242614746
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40th percentile: 2.0628633975982664
50th percentile: 2.088129758834839
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70th percentile: 2.1693677425384523
80th percentile: 2.2326980113983153
90th percentile: 2.3187395572662353
95th percentile: 2.3617603302001955
99th percentile: 2.3961769485473634
mean time: 2.122139549255371
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