developer_uid: cgato
submission_id: cgato-nemo-12b-humanize_7413_v19
model_name: cgato-nemo-12b-humanize_7413_v19
model_group: cgato/Nemo-12b-Humanize-
status: torndown
timestamp: 2024-12-25T04:59:44+00:00
num_battles: 36613
num_wins: 18099
celo_rating: 1258.56
family_friendly_score: 0.5846
family_friendly_standard_error: 0.006969115295358515
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': 0.6125749804559624, 'latency_mean': 1.6323643386363984, 'latency_p50': 1.6441030502319336, 'latency_p90': 1.7857783317565918}, {'batch_size': 3, 'throughput': 1.1276444012972637, 'latency_mean': 2.6574889004230497, 'latency_p50': 2.6612290143966675, 'latency_p90': 2.9113838195800783}, {'batch_size': 5, 'throughput': 1.3661322627784414, 'latency_mean': 3.6470502328872683, 'latency_p50': 3.628404974937439, 'latency_p90': 4.115310406684875}, {'batch_size': 6, 'throughput': 1.434094100386522, 'latency_mean': 4.1619785785675045, 'latency_p50': 4.173509001731873, 'latency_p90': 4.70526967048645}, {'batch_size': 8, 'throughput': 1.4950705821870693, 'latency_mean': 5.320431498289108, 'latency_p50': 5.328826308250427, 'latency_p90': 5.934921717643737}, {'batch_size': 10, 'throughput': 1.5403386509315793, 'latency_mean': 6.448756908178329, 'latency_p50': 6.494434714317322, 'latency_p90': 7.35795636177063}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: cgato-nemo-12b-humanize_7413_v19
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: 2024-12-24
win_ratio: 0.49433261409881735
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-v19-mkmlizer
Waiting for job on cgato-nemo-12b-humanize-7413-v19-mkmlizer to finish
cgato-nemo-12b-humanize-7413-v19-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cgato-nemo-12b-humanize-7413-v19-mkmlizer: ║ /___/ ║
cgato-nemo-12b-humanize-7413-v19-mkmlizer: ║ ║
cgato-nemo-12b-humanize-7413-v19-mkmlizer: ║ Version: 0.11.12 ║
cgato-nemo-12b-humanize-7413-v19-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-nemo-12b-humanize-7413-v19-mkmlizer: ║ https://mk1.ai ║
cgato-nemo-12b-humanize-7413-v19-mkmlizer: ║ ║
cgato-nemo-12b-humanize-7413-v19-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-nemo-12b-humanize-7413-v19-mkmlizer: ║ belonging to: ║
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cgato-nemo-12b-humanize-7413-v19-mkmlizer: ║ Chai Research Corp. ║
cgato-nemo-12b-humanize-7413-v19-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-nemo-12b-humanize-7413-v19-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
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cgato-nemo-12b-humanize-7413-v19-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-nemo-12b-humanize-7413-v19-mkmlizer: Downloaded to shared memory in 53.388s
cgato-nemo-12b-humanize-7413-v19-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp0t_fxjog, device:0
cgato-nemo-12b-humanize-7413-v19-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-nemo-12b-humanize-7413-v19-mkmlizer: quantized model in 36.656s
cgato-nemo-12b-humanize-7413-v19-mkmlizer: Processed model cgato/Nemo-12b-Humanize-KTO-Experimental-Latest in 90.044s
cgato-nemo-12b-humanize-7413-v19-mkmlizer: creating bucket guanaco-mkml-models
cgato-nemo-12b-humanize-7413-v19-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-nemo-12b-humanize-7413-v19-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v19
cgato-nemo-12b-humanize-7413-v19-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v19/config.json
cgato-nemo-12b-humanize-7413-v19-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v19/special_tokens_map.json
cgato-nemo-12b-humanize-7413-v19-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v19/tokenizer_config.json
cgato-nemo-12b-humanize-7413-v19-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v19/tokenizer.json
cgato-nemo-12b-humanize-7413-v19-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v19/flywheel_model.0.safetensors
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Job cgato-nemo-12b-humanize-7413-v19-mkmlizer completed after 114.75s with status: succeeded
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Inference service cgato-nemo-12b-humanize-7413-v19 ready after 281.42850947380066s
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Received healthy response to inference request in 1.6455342769622803s
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