submission_id: chaiml-albert-dpo-0912-v_8599_v1
developer_uid: chai_backend_admin
alignment_samples: 11294
alignment_score: -0.6114541647045205
best_of: 8
celo_rating: 1251.14
display_name: edit_top_model_weakness
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}
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '###', 'Bot:', 'User:', 'You:', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: True
language_model: ChaiML/albert_dpo_0912_virgo_edit_variety_top_model_weakness
latencies: [{'batch_size': 1, 'throughput': 0.6082733071531841, 'latency_mean': 1.6439428961277007, 'latency_p50': 1.6361796855926514, 'latency_p90': 1.8265069007873536}, {'batch_size': 3, 'throughput': 1.0518241222946965, 'latency_mean': 2.8355580711364747, 'latency_p50': 2.844750165939331, 'latency_p90': 3.107125926017761}, {'batch_size': 5, 'throughput': 1.2036576136321488, 'latency_mean': 4.1320991909503935, 'latency_p50': 4.148042559623718, 'latency_p90': 4.618735194206238}, {'batch_size': 6, 'throughput': 1.2319687734706324, 'latency_mean': 4.846381853818894, 'latency_p50': 4.846554279327393, 'latency_p90': 5.408788847923279}, {'batch_size': 8, 'throughput': 1.2095073444216105, 'latency_mean': 6.567578920125961, 'latency_p50': 6.57461678981781, 'latency_p90': 7.434755468368531}, {'batch_size': 10, 'throughput': 1.173387024646453, 'latency_mean': 8.481310999393463, 'latency_p50': 8.523073434829712, 'latency_p90': 9.725450539588929}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: ChaiML/albert_dpo_0912_v
model_name: edit_top_model_weakness
model_num_parameters: 12772070400.0
model_repo: ChaiML/albert_dpo_0912_virgo_edit_variety_top_model_weakness
model_size: 13B
num_battles: 11294
num_wins: 5733
propriety_score: 0.7437437437437437
propriety_total_count: 999.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.17
timestamp: 2024-09-13T19:20:55+00:00
us_pacific_date: 2024-09-13
win_ratio: 0.5076146626527359
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Shutdown handler not registered because Python interpreter is not running in the main thread
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Running pipeline stage MKMLizer
Starting job with name chaiml-albert-dpo-0912-v-8599-v1-mkmlizer
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chaiml-albert-dpo-0912-v-8599-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-albert-dpo-0912-v-8599-v1-mkmlizer: ║       /___/                                                         ║
chaiml-albert-dpo-0912-v-8599-v1-mkmlizer: ║                                                                     ║
chaiml-albert-dpo-0912-v-8599-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
chaiml-albert-dpo-0912-v-8599-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-albert-dpo-0912-v-8599-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-albert-dpo-0912-v-8599-v1-mkmlizer: ║                                                                     ║
chaiml-albert-dpo-0912-v-8599-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-albert-dpo-0912-v-8599-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-albert-dpo-0912-v-8599-v1-mkmlizer: ║                                                                     ║
chaiml-albert-dpo-0912-v-8599-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-albert-dpo-0912-v-8599-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-albert-dpo-0912-v-8599-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
chaiml-albert-dpo-0912-v-8599-v1-mkmlizer: ║                                                                     ║
chaiml-albert-dpo-0912-v-8599-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-albert-dpo-0912-v-8599-v1-mkmlizer: Downloaded to shared memory in 101.481s
chaiml-albert-dpo-0912-v-8599-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpfgrgyl1a, device:0
chaiml-albert-dpo-0912-v-8599-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-albert-dpo-0912-v-8599-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-albert-dpo-0912-v-8599-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-albert-dpo-0912-v-8599-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-8599-v1
chaiml-albert-dpo-0912-v-8599-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-8599-v1/config.json
chaiml-albert-dpo-0912-v-8599-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-8599-v1/special_tokens_map.json
chaiml-albert-dpo-0912-v-8599-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-8599-v1/tokenizer_config.json
chaiml-albert-dpo-0912-v-8599-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-8599-v1/tokenizer.json
chaiml-albert-dpo-0912-v-8599-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-8599-v1/flywheel_model.0.safetensors
Job chaiml-albert-dpo-0912-v-8599-v1-mkmlizer completed after 169.64s with status: succeeded
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Inference service chaiml-albert-dpo-0912-v-8599-v1-profiler ready after 190.47343707084656s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-albert-dpo-092654c7e67855454cacb8ec17cfedfea5-deplol27tv:/code/chaiverse_profiler_1726255853 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-albert-dpo-092654c7e67855454cacb8ec17cfedfea5-deplol27tv --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726255853 && python profiles.py profile --best_of_n 8 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1726255853/summary.json'
kubectl exec -it chaiml-albert-dpo-092654c7e67855454cacb8ec17cfedfea5-deplol27tv --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726255853/summary.json'
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chaiml-albert-dpo-0912-v_8599_v1 status is now inactive due to auto deactivation removed underperforming models