developer_uid: bogoconic1
submission_id: chaiml-gy-exp43-sft-gy-_17437_v2
model_name: chaiml-gy-exp43-sft-gy-_17437_v2
model_group: ChaiML/gy-exp43-sft-gy-d
status: torndown
timestamp: 2025-06-29T20:48:28+00:00
num_battles: 6783
num_wins: 3745
celo_rating: 1303.0
family_friendly_score: 0.525
family_friendly_standard_error: 0.007062223445912767
submission_type: basic
model_repo: ChaiML/gy-exp43-sft-gy-datamix-v1-rmchosen-ge0.5-ep2
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5968252284845552, 'latency_mean': 1.6754193902015686, 'latency_p50': 1.6803473234176636, 'latency_p90': 1.8464805126190185}, {'batch_size': 3, 'throughput': 1.0716650434549566, 'latency_mean': 2.7973001408576965, 'latency_p50': 2.808322787284851, 'latency_p90': 3.061974620819092}, {'batch_size': 5, 'throughput': 1.2704470046393943, 'latency_mean': 3.9109478724002837, 'latency_p50': 3.9272950887680054, 'latency_p90': 4.347236275672913}, {'batch_size': 6, 'throughput': 1.3407850924250155, 'latency_mean': 4.44456658244133, 'latency_p50': 4.4596028327941895, 'latency_p90': 4.971848559379578}, {'batch_size': 8, 'throughput': 1.3910604991642865, 'latency_mean': 5.70899273276329, 'latency_p50': 5.739944696426392, 'latency_p90': 6.402941036224365}, {'batch_size': 10, 'throughput': 1.4264615839965888, 'latency_mean': 6.9556407189369205, 'latency_p50': 6.963196754455566, 'latency_p90': 7.7507569789886475}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: chaiml-gy-exp43-sft-gy-_17437_v2
is_internal_developer: False
language_model: ChaiML/gy-exp43-sft-gy-datamix-v1-rmchosen-ge0.5-ep2
model_size: 13B
ranking_group: single
throughput_3p7s: 1.25
us_pacific_date: 2025-06-29
win_ratio: 0.5521155830753354
generation_params: {'temperature': 0.8, 'top_p': 0.95, 'min_p': 0.025, 'top_k': 60, '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': '{prompt}\nAnswer 1+1 = 2\n', '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-gy-exp43-sft-gy-17437-v2-mkmlizer
Waiting for job on chaiml-gy-exp43-sft-gy-17437-v2-mkmlizer to finish
chaiml-gy-exp43-sft-gy-17437-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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chaiml-gy-exp43-sft-gy-17437-v2-mkmlizer: ║ ║
chaiml-gy-exp43-sft-gy-17437-v2-mkmlizer: ║ Version: 0.29.3 ║
chaiml-gy-exp43-sft-gy-17437-v2-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-gy-exp43-sft-gy-17437-v2-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-gy-exp43-sft-gy-17437-v2-mkmlizer: ║ https://mk1.ai ║
chaiml-gy-exp43-sft-gy-17437-v2-mkmlizer: ║ ║
chaiml-gy-exp43-sft-gy-17437-v2-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-gy-exp43-sft-gy-17437-v2-mkmlizer: ║ belonging to: ║
chaiml-gy-exp43-sft-gy-17437-v2-mkmlizer: ║ ║
chaiml-gy-exp43-sft-gy-17437-v2-mkmlizer: ║ Chai Research Corp. ║
chaiml-gy-exp43-sft-gy-17437-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-gy-exp43-sft-gy-17437-v2-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-gy-exp43-sft-gy-17437-v2-mkmlizer: ║ ║
chaiml-gy-exp43-sft-gy-17437-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-gy-exp43-sft-gy-17437-v2-mkmlizer: Downloaded to shared memory in 31.588s
chaiml-gy-exp43-sft-gy-17437-v2-mkmlizer: Checking if ChaiML/gy-exp43-sft-gy-datamix-v1-rmchosen-ge0.5-ep2 already exists in ChaiML
chaiml-gy-exp43-sft-gy-17437-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp8_jp1i1d, device:0
chaiml-gy-exp43-sft-gy-17437-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-gy-exp43-sft-gy-17437-v2-mkmlizer: quantized model in 30.777s
chaiml-gy-exp43-sft-gy-17437-v2-mkmlizer: Processed model ChaiML/gy-exp43-sft-gy-datamix-v1-rmchosen-ge0.5-ep2 in 62.406s
chaiml-gy-exp43-sft-gy-17437-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-gy-exp43-sft-gy-17437-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-gy-exp43-sft-gy-17437-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-gy-exp43-sft-gy-17437-v2
chaiml-gy-exp43-sft-gy-17437-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-gy-exp43-sft-gy-17437-v2/config.json
chaiml-gy-exp43-sft-gy-17437-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-gy-exp43-sft-gy-17437-v2/special_tokens_map.json
chaiml-gy-exp43-sft-gy-17437-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-gy-exp43-sft-gy-17437-v2/tokenizer_config.json
chaiml-gy-exp43-sft-gy-17437-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-gy-exp43-sft-gy-17437-v2/tokenizer.json
chaiml-gy-exp43-sft-gy-17437-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-gy-exp43-sft-gy-17437-v2/flywheel_model.0.safetensors
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Job chaiml-gy-exp43-sft-gy-17437-v2-mkmlizer completed after 84.05s with status: succeeded
Stopping job with name chaiml-gy-exp43-sft-gy-17437-v2-mkmlizer
Pipeline stage MKMLizer completed in 84.63s
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Pipeline stage MKMLTemplater completed in 0.16s
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Creating inference service chaiml-gy-exp43-sft-gy-17437-v2
Waiting for inference service chaiml-gy-exp43-sft-gy-17437-v2 to be ready
Inference service chaiml-gy-exp43-sft-gy-17437-v2 ready after 200.82061553001404s
Pipeline stage MKMLDeployer completed in 201.48s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.422833204269409s
Received healthy response to inference request in 1.7582228183746338s
Received healthy response to inference request in 1.6807920932769775s
Received healthy response to inference request in 2.035435199737549s
Received healthy response to inference request in 1.626115083694458s
5 requests
0 failed requests
5th percentile: 1.637050485610962
10th percentile: 1.6479858875274658
20th percentile: 1.6698566913604735
30th percentile: 1.6962782382965087
40th percentile: 1.7272505283355712
50th percentile: 1.7582228183746338
60th percentile: 1.8691077709197998
70th percentile: 1.9799927234649657
80th percentile: 2.112914800643921
90th percentile: 2.267874002456665
95th percentile: 2.345353603363037
99th percentile: 2.407337284088135
mean time: 1.9046796798706054
Pipeline stage StressChecker completed in 11.14s
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