developer_uid: cgato
submission_id: cgato-nemo-12b-humanize-_7413_v5
model_name: cgato-nemo-12b-humanize-_7413_v5
model_group: cgato/Nemo-12b-Humanize-
status: inactive
timestamp: 2024-12-15T18:43:20+00:00
num_battles: 14930
num_wins: 7511
celo_rating: 1264.94
family_friendly_score: 0.5746
family_friendly_standard_error: 0.006991921624274688
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': 0.6130138365303344, 'latency_mean': 1.6312140119075775, 'latency_p50': 1.6363815069198608, 'latency_p90': 1.804949975013733}, {'batch_size': 3, 'throughput': 1.140364821153736, 'latency_mean': 2.6219115269184115, 'latency_p50': 2.625793218612671, 'latency_p90': 2.8836089849472044}, {'batch_size': 5, 'throughput': 1.3747535433445592, 'latency_mean': 3.6217225885391233, 'latency_p50': 3.6338688135147095, 'latency_p90': 4.059317255020142}, {'batch_size': 6, 'throughput': 1.4386632643683215, 'latency_mean': 4.147770783901215, 'latency_p50': 4.1532241106033325, 'latency_p90': 4.617041277885437}, {'batch_size': 8, 'throughput': 1.5299116324314264, 'latency_mean': 5.20303321480751, 'latency_p50': 5.202340006828308, 'latency_p90': 5.829991602897644}, {'batch_size': 10, 'throughput': 1.5522219931353682, 'latency_mean': 6.396957354545593, 'latency_p50': 6.418258190155029, 'latency_p90': 7.252187132835388}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: cgato-nemo-12b-humanize-_7413_v5
is_internal_developer: False
language_model: cgato/Nemo-12b-Humanize-KTO-Experimental-Latest
model_size: 13B
ranking_group: single
throughput_3p7s: 1.39
us_pacific_date: 2024-12-15
win_ratio: 0.5030810448760884
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
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Running pipeline stage MKMLizer
Starting job with name cgato-nemo-12b-humanize-7413-v5-mkmlizer
Waiting for job on cgato-nemo-12b-humanize-7413-v5-mkmlizer to finish
cgato-nemo-12b-humanize-7413-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cgato-nemo-12b-humanize-7413-v5-mkmlizer: ║ /___/ ║
cgato-nemo-12b-humanize-7413-v5-mkmlizer: ║ ║
cgato-nemo-12b-humanize-7413-v5-mkmlizer: ║ Version: 0.11.12 ║
cgato-nemo-12b-humanize-7413-v5-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-nemo-12b-humanize-7413-v5-mkmlizer: ║ https://mk1.ai ║
cgato-nemo-12b-humanize-7413-v5-mkmlizer: ║ ║
cgato-nemo-12b-humanize-7413-v5-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-nemo-12b-humanize-7413-v5-mkmlizer: ║ belonging to: ║
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cgato-nemo-12b-humanize-7413-v5-mkmlizer: ║ Chai Research Corp. ║
cgato-nemo-12b-humanize-7413-v5-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-nemo-12b-humanize-7413-v5-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
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cgato-nemo-12b-humanize-7413-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-nemo-12b-humanize-7413-v5-mkmlizer: Downloaded to shared memory in 35.137s
cgato-nemo-12b-humanize-7413-v5-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmppibx9we1, device:0
cgato-nemo-12b-humanize-7413-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-nemo-12b-humanize-7413-v5-mkmlizer: quantized model in 36.583s
cgato-nemo-12b-humanize-7413-v5-mkmlizer: Processed model cgato/Nemo-12b-Humanize-KTO-Experimental-Latest in 71.720s
cgato-nemo-12b-humanize-7413-v5-mkmlizer: creating bucket guanaco-mkml-models
cgato-nemo-12b-humanize-7413-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-nemo-12b-humanize-7413-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v5
cgato-nemo-12b-humanize-7413-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v5/config.json
cgato-nemo-12b-humanize-7413-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v5/special_tokens_map.json
cgato-nemo-12b-humanize-7413-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v5/tokenizer_config.json
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cgato-nemo-12b-humanize-7413-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v5/flywheel_model.0.safetensors
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Job cgato-nemo-12b-humanize-7413-v5-mkmlizer completed after 94.73s with status: succeeded
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