developer_uid: cgato
submission_id: cgato-nemo-12b-humanize-_7413_v8
model_name: cgato-nemo-12b-humanize-_7413_v8
model_group: cgato/Nemo-12b-Humanize-
status: inactive
timestamp: 2024-12-15T22:44:48+00:00
num_battles: 12504
num_wins: 2335
celo_rating: 994.78
family_friendly_score: 0.5700000000000001
family_friendly_standard_error: 0.007001428425685719
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': 0.6118728896765887, 'latency_mean': 1.634255143404007, 'latency_p50': 1.6387226581573486, 'latency_p90': 1.7980459213256836}, {'batch_size': 3, 'throughput': 1.1223761398714553, 'latency_mean': 2.6641410970687867, 'latency_p50': 2.665896773338318, 'latency_p90': 2.916193056106567}, {'batch_size': 5, 'throughput': 1.3651243431059366, 'latency_mean': 3.64024029135704, 'latency_p50': 3.678018808364868, 'latency_p90': 4.063689184188843}, {'batch_size': 6, 'throughput': 1.4452231197900052, 'latency_mean': 4.126498155593872, 'latency_p50': 4.105423212051392, 'latency_p90': 4.641828632354736}, {'batch_size': 8, 'throughput': 1.492991360339224, 'latency_mean': 5.313315081596374, 'latency_p50': 5.337988972663879, 'latency_p90': 5.925864410400391}, {'batch_size': 10, 'throughput': 1.5467439188974303, 'latency_mean': 6.414344469308853, 'latency_p50': 6.472555041313171, 'latency_p90': 7.252426624298096}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: cgato-nemo-12b-humanize-_7413_v8
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: 2024-12-15
win_ratio: 0.1867402431222009
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-v8-mkmlizer
Waiting for job on cgato-nemo-12b-humanize-7413-v8-mkmlizer to finish
cgato-nemo-12b-humanize-7413-v8-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cgato-nemo-12b-humanize-7413-v8-mkmlizer: ║ ║
cgato-nemo-12b-humanize-7413-v8-mkmlizer: ║ Version: 0.11.12 ║
cgato-nemo-12b-humanize-7413-v8-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-nemo-12b-humanize-7413-v8-mkmlizer: ║ https://mk1.ai ║
cgato-nemo-12b-humanize-7413-v8-mkmlizer: ║ ║
cgato-nemo-12b-humanize-7413-v8-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-nemo-12b-humanize-7413-v8-mkmlizer: ║ belonging to: ║
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cgato-nemo-12b-humanize-7413-v8-mkmlizer: ║ Chai Research Corp. ║
cgato-nemo-12b-humanize-7413-v8-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-nemo-12b-humanize-7413-v8-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
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cgato-nemo-12b-humanize-7413-v8-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-nemo-12b-humanize-7413-v8-mkmlizer: Downloaded to shared memory in 50.552s
cgato-nemo-12b-humanize-7413-v8-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpmeihx9ve, device:0
cgato-nemo-12b-humanize-7413-v8-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
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cgato-nemo-12b-humanize-7413-v8-mkmlizer: quantized model in 37.018s
cgato-nemo-12b-humanize-7413-v8-mkmlizer: Processed model cgato/Nemo-12b-Humanize-KTO-Experimental-Latest in 87.569s
cgato-nemo-12b-humanize-7413-v8-mkmlizer: creating bucket guanaco-mkml-models
cgato-nemo-12b-humanize-7413-v8-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-nemo-12b-humanize-7413-v8-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v8
cgato-nemo-12b-humanize-7413-v8-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v8/config.json
cgato-nemo-12b-humanize-7413-v8-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v8/special_tokens_map.json
cgato-nemo-12b-humanize-7413-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v8/tokenizer_config.json
cgato-nemo-12b-humanize-7413-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v8/tokenizer.json
cgato-nemo-12b-humanize-7413-v8-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v8/flywheel_model.0.safetensors
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Job cgato-nemo-12b-humanize-7413-v8-mkmlizer completed after 114.93s with status: succeeded
Stopping job with name cgato-nemo-12b-humanize-7413-v8-mkmlizer
Pipeline stage MKMLizer completed in 115.41s
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Creating inference service cgato-nemo-12b-humanize-7413-v8
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Failed to get response for submission chaiml-mistral-nemo-simp_8765_v1: ('http://chaiml-llama-8b-multihea-7878-v5-predictor.tenant-chaiml-guanaco.k2.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:57490->127.0.0.1:8080: read: connection reset by peer\n')
Inference service cgato-nemo-12b-humanize-7413-v8 ready after 210.80661344528198s
Pipeline stage MKMLDeployer completed in 211.36s
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Received healthy response to inference request in 2.057129383087158s
Received healthy response to inference request in 1.9389960765838623s
Received healthy response to inference request in 1.7892591953277588s
Received healthy response to inference request in 1.5970335006713867s
Received healthy response to inference request in 1.6453700065612793s
5 requests
0 failed requests
5th percentile: 1.6067008018493651
10th percentile: 1.6163681030273438
20th percentile: 1.6357027053833009
30th percentile: 1.6741478443145752
40th percentile: 1.731703519821167
50th percentile: 1.7892591953277588
60th percentile: 1.8491539478302002
70th percentile: 1.9090487003326415
80th percentile: 1.9626227378845216
90th percentile: 2.0098760604858397
95th percentile: 2.033502721786499
99th percentile: 2.0524040508270263
mean time: 1.805557632446289
Pipeline stage StressChecker completed in 10.39s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2820.59s
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cgato-nemo-12b-humanize-_7413_v8 status is now inactive due to auto deactivation removed underperforming models