developer_uid: cgato
submission_id: cgato-nemo-12b-zero-bas_16866_v1
model_name: cgato-nemo-12b-zero-bas_16866_v1
model_group: cgato/Nemo-12b-Zero-Base
status: torndown
timestamp: 2025-07-13T19:38:42+00:00
num_battles: 10347
num_wins: 4877
celo_rating: 1273.42
family_friendly_score: 0.5212
family_friendly_standard_error: 0.007064708911200801
submission_type: basic
model_repo: cgato/Nemo-12b-Zero-Base-2-KTO-Exp
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': 0.5798193779411877, 'latency_mean': 1.7244911432266234, 'latency_p50': 1.7267969846725464, 'latency_p90': 1.8844263315200807}, {'batch_size': 3, 'throughput': 1.036543083601079, 'latency_mean': 2.8829055416584013, 'latency_p50': 2.8917202949523926, 'latency_p90': 3.147300887107849}, {'batch_size': 5, 'throughput': 1.2452102107021148, 'latency_mean': 3.996412378549576, 'latency_p50': 4.031070351600647, 'latency_p90': 4.523380374908447}, {'batch_size': 6, 'throughput': 1.3090044800879816, 'latency_mean': 4.558124033212661, 'latency_p50': 4.583620071411133, 'latency_p90': 5.175135326385498}, {'batch_size': 8, 'throughput': 1.3662093750694313, 'latency_mean': 5.824207253456116, 'latency_p50': 5.819568991661072, 'latency_p90': 6.5634117603302}, {'batch_size': 10, 'throughput': 1.3943502546023192, 'latency_mean': 7.111593422889709, 'latency_p50': 7.113445520401001, 'latency_p90': 8.038684272766114}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: cgato-nemo-12b-zero-bas_16866_v1
is_internal_developer: False
language_model: cgato/Nemo-12b-Zero-Base-2-KTO-Exp
model_size: 13B
ranking_group: single
throughput_3p7s: 1.21
us_pacific_date: 2025-07-13
win_ratio: 0.4713443510196192
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 200, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '<|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}:', 'truncate_by_message': True}
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 cgato-nemo-12b-zero-bas-16866-v1-mkmlizer
Waiting for job on cgato-nemo-12b-zero-bas-16866-v1-mkmlizer to finish
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cgato-nemo-12b-zero-bas-16866-v1-mkmlizer: ║ ║
cgato-nemo-12b-zero-bas-16866-v1-mkmlizer: ║ Version: 0.29.15 ║
cgato-nemo-12b-zero-bas-16866-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
cgato-nemo-12b-zero-bas-16866-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
cgato-nemo-12b-zero-bas-16866-v1-mkmlizer: ║ https://mk1.ai ║
cgato-nemo-12b-zero-bas-16866-v1-mkmlizer: ║ ║
cgato-nemo-12b-zero-bas-16866-v1-mkmlizer: ║ The license key for the current software has been verified as ║
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cgato-nemo-12b-zero-bas-16866-v1-mkmlizer: ║ ║
cgato-nemo-12b-zero-bas-16866-v1-mkmlizer: ║ Chai Research Corp. ║
cgato-nemo-12b-zero-bas-16866-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-nemo-12b-zero-bas-16866-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
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cgato-nemo-12b-zero-bas-16866-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-nemo-12b-zero-bas-16866-v1-mkmlizer: Downloaded to shared memory in 44.161s
cgato-nemo-12b-zero-bas-16866-v1-mkmlizer: Checking if cgato/Nemo-12b-Zero-Base-2-KTO-Exp already exists in ChaiML
cgato-nemo-12b-zero-bas-16866-v1-mkmlizer: Creating repo ChaiML/Nemo-12b-Zero-Base-2-KTO-Exp and uploading /tmp/tmp2p45_ev7 to it
cgato-nemo-12b-zero-bas-16866-v1-mkmlizer: 0%| | 0/6 [00:00<?, ?it/s] 17%|█▋ | 1/6 [00:04<00:22, 4.46s/it] 33%|███▎ | 2/6 [00:09<00:20, 5.03s/it] 50%|█████ | 3/6 [00:14<00:13, 4.62s/it] 67%|██████▋ | 4/6 [00:18<00:09, 4.52s/it] 83%|████████▎ | 5/6 [00:22<00:04, 4.20s/it] 100%|██████████| 6/6 [00:23<00:00, 3.21s/it] 100%|██████████| 6/6 [00:23<00:00, 3.88s/it]
cgato-nemo-12b-zero-bas-16866-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp2p45_ev7, device:0
cgato-nemo-12b-zero-bas-16866-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-nemo-12b-zero-bas-16866-v1-mkmlizer: quantized model in 30.285s
cgato-nemo-12b-zero-bas-16866-v1-mkmlizer: Processed model cgato/Nemo-12b-Zero-Base-2-KTO-Exp in 123.826s
cgato-nemo-12b-zero-bas-16866-v1-mkmlizer: creating bucket guanaco-mkml-models
cgato-nemo-12b-zero-bas-16866-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-nemo-12b-zero-bas-16866-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-nemo-12b-zero-bas-16866-v1/nvidia
cgato-nemo-12b-zero-bas-16866-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-nemo-12b-zero-bas-16866-v1/nvidia/config.json
cgato-nemo-12b-zero-bas-16866-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-nemo-12b-zero-bas-16866-v1/nvidia/special_tokens_map.json
cgato-nemo-12b-zero-bas-16866-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-nemo-12b-zero-bas-16866-v1/nvidia/tokenizer_config.json
cgato-nemo-12b-zero-bas-16866-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-nemo-12b-zero-bas-16866-v1/nvidia/tokenizer.json
cgato-nemo-12b-zero-bas-16866-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-nemo-12b-zero-bas-16866-v1/nvidia/flywheel_model.0.safetensors
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Job cgato-nemo-12b-zero-bas-16866-v1-mkmlizer completed after 146.75s with status: succeeded
Stopping job with name cgato-nemo-12b-zero-bas-16866-v1-mkmlizer
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Creating inference service cgato-nemo-12b-zero-bas-16866-v1
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Inference service cgato-nemo-12b-zero-bas-16866-v1 ready after 211.0643491744995s
Pipeline stage MKMLDeployer completed in 211.51s
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Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 2.2559287548065186s
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5 requests
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5th percentile: 1.502823781967163
10th percentile: 1.5032831668853759
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mean time: 5.416733646392823
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5th percentile: 1.491896629333496
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20th percentile: 1.4922621250152588
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mean time: 1.5692953586578369
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