developer_uid: azuruce
submission_id: chaiml-espresso-ant-llam_1666_v3
model_name: chaiml-espresso-ant-llam_1666_v3
model_group: ChaiML/espresso_ant_llam
status: inactive
timestamp: 2024-12-05T07:07:43+00:00
num_battles: 11650
num_wins: 6022
celo_rating: 1273.35
family_friendly_score: 0.5842
family_friendly_standard_error: 0.006970084074098389
submission_type: basic
model_repo: ChaiML/espresso_ant_llama_241204_albert_v2_sft_2epoch_128alpha
model_architecture: MistralForCausalLM
model_num_parameters: 22247282688.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.3831167936697748, 'latency_mean': 2.610112638473511, 'latency_p50': 2.5818307399749756, 'latency_p90': 2.8993101596832274}, {'batch_size': 2, 'throughput': 0.6009484451229241, 'latency_mean': 3.3169574975967406, 'latency_p50': 3.317296862602234, 'latency_p90': 3.653500485420227}, {'batch_size': 3, 'throughput': 0.7687752124849093, 'latency_mean': 3.89379278421402, 'latency_p50': 3.8988348245620728, 'latency_p90': 4.296667122840882}, {'batch_size': 4, 'throughput': 0.8819221592774587, 'latency_mean': 4.507758861780166, 'latency_p50': 4.501532316207886, 'latency_p90': 4.992909216880799}, {'batch_size': 5, 'throughput': 0.9764977928302645, 'latency_mean': 5.0957891917228695, 'latency_p50': 5.071410179138184, 'latency_p90': 5.737205219268799}]
gpu_counts: {'NVIDIA RTX A6000': 1}
display_name: chaiml-espresso-ant-llam_1666_v3
is_internal_developer: True
language_model: ChaiML/espresso_ant_llama_241204_albert_v2_sft_2epoch_128alpha
model_size: 22B
ranking_group: single
throughput_3p7s: 0.72
us_pacific_date: 2024-12-04
win_ratio: 0.5169098712446352
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|eot_id|>', '<|end_of_text|>', 'You:'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
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 chaiml-espresso-ant-llam-1666-v3-mkmlizer
Waiting for job on chaiml-espresso-ant-llam-1666-v3-mkmlizer to finish
chaiml-espresso-ant-llam-1666-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-espresso-ant-llam-1666-v3-mkmlizer: ║ _____ __ __ ║
chaiml-espresso-ant-llam-1666-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
chaiml-espresso-ant-llam-1666-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
chaiml-espresso-ant-llam-1666-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
chaiml-espresso-ant-llam-1666-v3-mkmlizer: ║ /___/ ║
chaiml-espresso-ant-llam-1666-v3-mkmlizer: ║ ║
chaiml-espresso-ant-llam-1666-v3-mkmlizer: ║ Version: 0.11.12 ║
chaiml-espresso-ant-llam-1666-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-espresso-ant-llam-1666-v3-mkmlizer: ║ https://mk1.ai ║
chaiml-espresso-ant-llam-1666-v3-mkmlizer: ║ ║
chaiml-espresso-ant-llam-1666-v3-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-espresso-ant-llam-1666-v3-mkmlizer: ║ belonging to: ║
chaiml-espresso-ant-llam-1666-v3-mkmlizer: ║ ║
chaiml-espresso-ant-llam-1666-v3-mkmlizer: ║ Chai Research Corp. ║
chaiml-espresso-ant-llam-1666-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-espresso-ant-llam-1666-v3-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
chaiml-espresso-ant-llam-1666-v3-mkmlizer: ║ ║
chaiml-espresso-ant-llam-1666-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-espresso-ant-llam-1666-v3-mkmlizer: Downloaded to shared memory in 48.327s
chaiml-espresso-ant-llam-1666-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpnr4v2zfm, device:0
chaiml-espresso-ant-llam-1666-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-espresso-ant-llam-1666-v3-mkmlizer: quantized model in 43.106s
chaiml-espresso-ant-llam-1666-v3-mkmlizer: Processed model ChaiML/espresso_ant_llama_241204_albert_v2_sft_2epoch_128alpha in 91.433s
chaiml-espresso-ant-llam-1666-v3-mkmlizer: creating bucket guanaco-mkml-models
chaiml-espresso-ant-llam-1666-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-espresso-ant-llam-1666-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-espresso-ant-llam-1666-v3
chaiml-espresso-ant-llam-1666-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-espresso-ant-llam-1666-v3/config.json
chaiml-espresso-ant-llam-1666-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-espresso-ant-llam-1666-v3/special_tokens_map.json
chaiml-espresso-ant-llam-1666-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-espresso-ant-llam-1666-v3/tokenizer_config.json
chaiml-espresso-ant-llam-1666-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-espresso-ant-llam-1666-v3/tokenizer.json
chaiml-espresso-ant-llam-1666-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-espresso-ant-llam-1666-v3/flywheel_model.1.safetensors
chaiml-espresso-ant-llam-1666-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-espresso-ant-llam-1666-v3/flywheel_model.0.safetensors
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Job chaiml-espresso-ant-llam-1666-v3-mkmlizer completed after 121.53s with status: succeeded
Stopping job with name chaiml-espresso-ant-llam-1666-v3-mkmlizer
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Pipeline stage MKMLizer completed in 122.99s
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Creating inference service chaiml-espresso-ant-llam-1666-v3
Waiting for inference service chaiml-espresso-ant-llam-1666-v3 to be ready
Inference service chaiml-espresso-ant-llam-1666-v3 ready after 173.94551301002502s
Pipeline stage MKMLDeployer completed in 175.89s
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Running pipeline stage StressChecker
Received healthy response to inference request in 3.48439359664917s
Received healthy response to inference request in 2.374969005584717s
Received healthy response to inference request in 2.7592430114746094s
Received healthy response to inference request in 2.4887053966522217s
Received healthy response to inference request in 2.319918632507324s
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5th percentile: 2.3309287071228026
10th percentile: 2.341938781738281
20th percentile: 2.3639589309692384
30th percentile: 2.3977162837982178
40th percentile: 2.4432108402252197
50th percentile: 2.4887053966522217
60th percentile: 2.596920442581177
70th percentile: 2.7051354885101317
80th percentile: 2.9042731285095216
90th percentile: 3.1943333625793455
95th percentile: 3.3393634796142577
99th percentile: 3.4553875732421875
mean time: 2.6854459285736083
Pipeline stage StressChecker completed in 14.78s
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chaiml-espresso-ant-llam_1666_v3 status is now inactive due to auto deactivation removed underperforming models