cgato-nemo-12b-zero-bas_16866

developer_uid: cgato

submission_id: cgato-nemo-12b-zero-bas_16866_v2

model_name: cgato-nemo-12b-zero-bas_16866_v2

model_group: cgato/Nemo-12b-Zero-Base

status: torndown

timestamp: 2025-07-14T03:57:31+00:00

num_battles: 7607

num_wins: 3538

celo_rating: 1261.08

family_friendly_score: 0.5152

family_friendly_standard_error: 0.007067799657602075

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': 0.589155968061074, 'latency_mean': 1.6971560621261597, 'latency_p50': 1.706792950630188, 'latency_p90': 1.8609514713287354}, {'batch_size': 3, 'throughput': 1.07544818343006, 'latency_mean': 2.780293298959732, 'latency_p50': 2.7731069326400757, 'latency_p90': 3.0788502216339113}, {'batch_size': 5, 'throughput': 1.3062149422207927, 'latency_mean': 3.8108860993385316, 'latency_p50': 3.790112853050232, 'latency_p90': 4.2455007314682005}, {'batch_size': 6, 'throughput': 1.3515782876623104, 'latency_mean': 4.416104869842529, 'latency_p50': 4.416740655899048, 'latency_p90': 4.939788389205932}, {'batch_size': 8, 'throughput': 1.420006149393009, 'latency_mean': 5.596559537649155, 'latency_p50': 5.596507787704468, 'latency_p90': 6.31904444694519}, {'batch_size': 10, 'throughput': 1.457946276189147, 'latency_mean': 6.8086363053321834, 'latency_p50': 6.798092603683472, 'latency_p90': 7.793556213378906}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: cgato-nemo-12b-zero-bas_16866_v2

is_internal_developer: False

language_model: cgato/Nemo-12b-Zero-Base-2-KTO-Exp

model_size: 13B

ranking_group: single

throughput_3p7s: 1.29

us_pacific_date: 2025-07-13

win_ratio: 0.46509793611147626

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
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Running pipeline stage MKMLizer
Starting job with name cgato-nemo-12b-zero-bas-16866-v2-mkmlizer
Waiting for job on cgato-nemo-12b-zero-bas-16866-v2-mkmlizer to finish
cgato-nemo-12b-zero-bas-16866-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-nemo-12b-zero-bas-16866-v2-mkmlizer: ║                                                                     ║
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cgato-nemo-12b-zero-bas-16866-v2-mkmlizer: ║                                                                     ║
cgato-nemo-12b-zero-bas-16866-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
cgato-nemo-12b-zero-bas-16866-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
cgato-nemo-12b-zero-bas-16866-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
cgato-nemo-12b-zero-bas-16866-v2-mkmlizer: ║  https://mk1.ai                                                     ║
cgato-nemo-12b-zero-bas-16866-v2-mkmlizer: ║                                                                     ║
cgato-nemo-12b-zero-bas-16866-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
cgato-nemo-12b-zero-bas-16866-v2-mkmlizer: ║  belonging to:                                                      ║
cgato-nemo-12b-zero-bas-16866-v2-mkmlizer: ║                                                                     ║
cgato-nemo-12b-zero-bas-16866-v2-mkmlizer: ║  Chai Research Corp.                                                ║
cgato-nemo-12b-zero-bas-16866-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cgato-nemo-12b-zero-bas-16866-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
cgato-nemo-12b-zero-bas-16866-v2-mkmlizer: ║                                                                     ║
cgato-nemo-12b-zero-bas-16866-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-nemo-12b-zero-bas-16866-v2-mkmlizer: Downloaded to shared memory in 43.820s
cgato-nemo-12b-zero-bas-16866-v2-mkmlizer: Checking if cgato/Nemo-12b-Zero-Base-2-KTO-Exp already exists in ChaiML
cgato-nemo-12b-zero-bas-16866-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpigl6ggow, device:0
cgato-nemo-12b-zero-bas-16866-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission junhua024-chai-1-full-066126_v10: HTTPConnectionPool(host='junhua024-chai-1-full-066126-v10-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
cgato-nemo-12b-zero-bas-16866-v2-mkmlizer: quantized model in 37.323s
cgato-nemo-12b-zero-bas-16866-v2-mkmlizer: Processed model cgato/Nemo-12b-Zero-Base-2-KTO-Exp in 81.236s
cgato-nemo-12b-zero-bas-16866-v2-mkmlizer: creating bucket guanaco-mkml-models
cgato-nemo-12b-zero-bas-16866-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-nemo-12b-zero-bas-16866-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-nemo-12b-zero-bas-16866-v2/nvidia
cgato-nemo-12b-zero-bas-16866-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-nemo-12b-zero-bas-16866-v2/nvidia/config.json
cgato-nemo-12b-zero-bas-16866-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-nemo-12b-zero-bas-16866-v2/nvidia/special_tokens_map.json
cgato-nemo-12b-zero-bas-16866-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-nemo-12b-zero-bas-16866-v2/nvidia/tokenizer_config.json
cgato-nemo-12b-zero-bas-16866-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-nemo-12b-zero-bas-16866-v2/nvidia/tokenizer.json
cgato-nemo-12b-zero-bas-16866-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-nemo-12b-zero-bas-16866-v2/nvidia/flywheel_model.0.safetensors
cgato-nemo-12b-zero-bas-16866-v2-mkmlizer: 
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Job cgato-nemo-12b-zero-bas-16866-v2-mkmlizer completed after 116.07s with status: succeeded
Stopping job with name cgato-nemo-12b-zero-bas-16866-v2-mkmlizer
Pipeline stage MKMLizer completed in 117.04s
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Creating inference service cgato-nemo-12b-zero-bas-16866-v2
Waiting for inference service cgato-nemo-12b-zero-bas-16866-v2 to be ready
Failed to get response for submission junhua024-chai-1-full-066126_v10: HTTPConnectionPool(host='junhua024-chai-1-full-066126-v10-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service cgato-nemo-12b-zero-bas-16866-v2 ready after 220.8990671634674s
Pipeline stage MKMLDeployer completed in 221.35s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.3574635982513428s
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Received healthy response to inference request in 1.9848244190216064s
Received healthy response to inference request in 1.7958755493164062s
Received healthy response to inference request in 1.5649986267089844s
5 requests
0 failed requests
5th percentile: 1.5684587955474854
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99th percentile: 2.342558031082153
mean time: 1.8570923328399658
Pipeline stage StressChecker completed in 10.70s
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