developer_uid: cgato
submission_id: cgato-nemo-12b-humanize_7413_v12
model_name: cgato-nemo-12b-humanize_7413_v12
model_group: cgato/Nemo-12b-Humanize-
status: inactive
timestamp: 2024-12-16T14:59:17+00:00
num_battles: 14377
num_wins: 7289
celo_rating: 1268.61
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
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': 0.6205856402495254, 'latency_mean': 1.6112863779067994, 'latency_p50': 1.6079246997833252, 'latency_p90': 1.7738779544830323}, {'batch_size': 3, 'throughput': 1.1524621919233522, 'latency_mean': 2.600394719839096, 'latency_p50': 2.5721206665039062, 'latency_p90': 2.909431314468384}, {'batch_size': 5, 'throughput': 1.38186381170706, 'latency_mean': 3.602801492214203, 'latency_p50': 3.6218889951705933, 'latency_p90': 4.036336421966553}, {'batch_size': 6, 'throughput': 1.4519269464638425, 'latency_mean': 4.109120376110077, 'latency_p50': 4.116348624229431, 'latency_p90': 4.60759744644165}, {'batch_size': 8, 'throughput': 1.5156436568367917, 'latency_mean': 5.248126307725906, 'latency_p50': 5.279974579811096, 'latency_p90': 5.907263851165771}, {'batch_size': 10, 'throughput': 1.567383195991775, 'latency_mean': 6.3322572016716006, 'latency_p50': 6.339977145195007, 'latency_p90': 7.145824027061463}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: cgato-nemo-12b-humanize_7413_v12
is_internal_developer: False
language_model: cgato/Nemo-12b-Humanize-KTO-Experimental-Latest
model_size: 13B
ranking_group: single
throughput_3p7s: 1.4
us_pacific_date: 2024-12-16
win_ratio: 0.5069903317799263
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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run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name cgato-nemo-12b-humanize-7413-v12-mkmlizer
Waiting for job on cgato-nemo-12b-humanize-7413-v12-mkmlizer to finish
cgato-nemo-12b-humanize-7413-v12-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cgato-nemo-12b-humanize-7413-v12-mkmlizer: ║ ║
cgato-nemo-12b-humanize-7413-v12-mkmlizer: ║ Version: 0.11.12 ║
cgato-nemo-12b-humanize-7413-v12-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-nemo-12b-humanize-7413-v12-mkmlizer: ║ https://mk1.ai ║
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cgato-nemo-12b-humanize-7413-v12-mkmlizer: ║ Chai Research Corp. ║
cgato-nemo-12b-humanize-7413-v12-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-nemo-12b-humanize-7413-v12-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
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cgato-nemo-12b-humanize-7413-v12-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-nemo-12b-humanize-7413-v12-mkmlizer: Downloaded to shared memory in 51.002s
cgato-nemo-12b-humanize-7413-v12-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp7mptsl4x, device:0
cgato-nemo-12b-humanize-7413-v12-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-nemo-12b-humanize-7413-v12-mkmlizer: quantized model in 36.805s
cgato-nemo-12b-humanize-7413-v12-mkmlizer: Processed model cgato/Nemo-12b-Humanize-KTO-Experimental-Latest in 87.807s
cgato-nemo-12b-humanize-7413-v12-mkmlizer: creating bucket guanaco-mkml-models
cgato-nemo-12b-humanize-7413-v12-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-nemo-12b-humanize-7413-v12-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v12
cgato-nemo-12b-humanize-7413-v12-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v12/config.json
cgato-nemo-12b-humanize-7413-v12-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v12/special_tokens_map.json
cgato-nemo-12b-humanize-7413-v12-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v12/tokenizer_config.json
cgato-nemo-12b-humanize-7413-v12-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v12/tokenizer.json
cgato-nemo-12b-humanize-7413-v12-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v12/flywheel_model.0.safetensors
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