developer_uid: cgato
submission_id: cgato-nemo-12b-humanize_7413_v17
model_name: cgato-nemo-12b-humanize_7413_v17
model_group: cgato/Nemo-12b-Humanize-
status: torndown
timestamp: 2024-12-23T02:21:41+00:00
num_battles: 16117
num_wins: 8018
celo_rating: 1261.08
family_friendly_score: 0.5840000000000001
family_friendly_standard_error: 0.006970566691453429
submission_type: basic
model_repo: cgato/Nemo-12b-Humanize-KTO-Experimental-Latest
model_architecture: MistralForCausalLM
model_num_parameters: 12772111360.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6145931819719139, 'latency_mean': 1.6270327746868134, 'latency_p50': 1.62427818775177, 'latency_p90': 1.7842777490615844}, {'batch_size': 3, 'throughput': 1.1199255600931817, 'latency_mean': 2.667513220310211, 'latency_p50': 2.6887638568878174, 'latency_p90': 2.888505053520203}, {'batch_size': 5, 'throughput': 1.362679273696441, 'latency_mean': 3.6516295313835143, 'latency_p50': 3.6437853574752808, 'latency_p90': 4.134451270103455}, {'batch_size': 6, 'throughput': 1.420915762854511, 'latency_mean': 4.200150955915451, 'latency_p50': 4.213690638542175, 'latency_p90': 4.7124039173126215}, {'batch_size': 8, 'throughput': 1.488884547471708, 'latency_mean': 5.338147927522659, 'latency_p50': 5.365354418754578, 'latency_p90': 5.936699295043945}, {'batch_size': 10, 'throughput': 1.5423396409937724, 'latency_mean': 6.439947891235351, 'latency_p50': 6.423363924026489, 'latency_p90': 7.278055000305176}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: cgato-nemo-12b-humanize_7413_v17
is_internal_developer: False
language_model: cgato/Nemo-12b-Humanize-KTO-Experimental-Latest
model_size: 13B
ranking_group: single
throughput_3p7s: 1.38
us_pacific_date: 2024-12-22
win_ratio: 0.49748712539554507
generation_params: {'temperature': 0.7, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 40, '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-humanize-7413-v17-mkmlizer
Waiting for job on cgato-nemo-12b-humanize-7413-v17-mkmlizer to finish
cgato-nemo-12b-humanize-7413-v17-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cgato-nemo-12b-humanize-7413-v17-mkmlizer: ║ /___/ ║
cgato-nemo-12b-humanize-7413-v17-mkmlizer: ║ ║
cgato-nemo-12b-humanize-7413-v17-mkmlizer: ║ Version: 0.11.12 ║
cgato-nemo-12b-humanize-7413-v17-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-nemo-12b-humanize-7413-v17-mkmlizer: ║ https://mk1.ai ║
cgato-nemo-12b-humanize-7413-v17-mkmlizer: ║ ║
cgato-nemo-12b-humanize-7413-v17-mkmlizer: ║ The license key for the current software has been verified as ║
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cgato-nemo-12b-humanize-7413-v17-mkmlizer: ║ Chai Research Corp. ║
cgato-nemo-12b-humanize-7413-v17-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-nemo-12b-humanize-7413-v17-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
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cgato-nemo-12b-humanize-7413-v17-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-nemo-12b-humanize-7413-v17-mkmlizer: Downloaded to shared memory in 59.748s
cgato-nemo-12b-humanize-7413-v17-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpi463ntrk, device:0
cgato-nemo-12b-humanize-7413-v17-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-nemo-12b-humanize-7413-v17-mkmlizer: quantized model in 36.242s
cgato-nemo-12b-humanize-7413-v17-mkmlizer: Processed model cgato/Nemo-12b-Humanize-KTO-Experimental-Latest in 95.989s
cgato-nemo-12b-humanize-7413-v17-mkmlizer: creating bucket guanaco-mkml-models
cgato-nemo-12b-humanize-7413-v17-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-nemo-12b-humanize-7413-v17-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v17/special_tokens_map.json
cgato-nemo-12b-humanize-7413-v17-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v17/config.json
cgato-nemo-12b-humanize-7413-v17-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v17/tokenizer_config.json
cgato-nemo-12b-humanize-7413-v17-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v17/tokenizer.json
cgato-nemo-12b-humanize-7413-v17-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v17/flywheel_model.0.safetensors
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Job cgato-nemo-12b-humanize-7413-v17-mkmlizer completed after 124.59s with status: succeeded
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Inference service cgato-nemo-12b-humanize-7413-v17 ready after 361.5289092063904s
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5th percentile: 1.351271915435791
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70th percentile: 1.8799339294433592
80th percentile: 1.9349560737609863
90th percentile: 1.9759387969970703
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mean time: 1.7276631355285645
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