submission_id: chaiml-albert-dpo-0912-v_9673_v2
developer_uid: chai_backend_admin
best_of: 8
celo_rating: 1245.78
display_name: 0913-nemo-ai-disagree-with-user
family_friendly_score: 0.0
formatter: {'memory_template': 'Bot Name: {bot_name}\n####\n', '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_ai_disagree_with_user
latencies: [{'batch_size': 1, 'throughput': 0.6150179742948261, 'latency_mean': 1.6259125447273255, 'latency_p50': 1.6244816780090332, 'latency_p90': 1.7905940294265748}, {'batch_size': 3, 'throughput': 1.0741691432657585, 'latency_mean': 2.7808770859241485, 'latency_p50': 2.8093862533569336, 'latency_p90': 3.0929482221603393}, {'batch_size': 5, 'throughput': 1.2286311160142913, 'latency_mean': 4.060438684225082, 'latency_p50': 4.068119168281555, 'latency_p90': 4.607110500335693}, {'batch_size': 6, 'throughput': 1.2419189183200037, 'latency_mean': 4.813340059518814, 'latency_p50': 4.795956015586853, 'latency_p90': 5.358851218223571}, {'batch_size': 8, 'throughput': 1.2272762687963623, 'latency_mean': 6.470800859928131, 'latency_p50': 6.515128970146179, 'latency_p90': 7.1186569929122925}, {'batch_size': 10, 'throughput': 1.1959045695010113, 'latency_mean': 8.315357888936996, 'latency_p50': 8.312466740608215, 'latency_p90': 9.399073815345764}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: ChaiML/albert_dpo_0912_v
model_name: 0913-nemo-ai-disagree-with-user
model_num_parameters: 12772070400.0
model_repo: ChaiML/albert_dpo_0912_virgo_edit_variety_ai_disagree_with_user
model_size: 13B
num_battles: 12035
num_wins: 5932
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.2
timestamp: 2024-09-13T23:57:22+00:00
us_pacific_date: 2024-09-13
win_ratio: 0.49289572081429167
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
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run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-albert-dpo-0912-v-9673-v2-mkmlizer
Waiting for job on chaiml-albert-dpo-0912-v-9673-v2-mkmlizer to finish
chaiml-albert-dpo-0912-v-9673-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-albert-dpo-0912-v-9673-v2-mkmlizer: ║ _____ __ __ ║
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chaiml-albert-dpo-0912-v-9673-v2-mkmlizer: ║ /___/ ║
chaiml-albert-dpo-0912-v-9673-v2-mkmlizer: ║ ║
chaiml-albert-dpo-0912-v-9673-v2-mkmlizer: ║ Version: 0.10.1 ║
chaiml-albert-dpo-0912-v-9673-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-albert-dpo-0912-v-9673-v2-mkmlizer: ║ https://mk1.ai ║
chaiml-albert-dpo-0912-v-9673-v2-mkmlizer: ║ ║
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chaiml-albert-dpo-0912-v-9673-v2-mkmlizer: ║ belonging to: ║
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chaiml-albert-dpo-0912-v-9673-v2-mkmlizer: ║ Chai Research Corp. ║
chaiml-albert-dpo-0912-v-9673-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-albert-dpo-0912-v-9673-v2-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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chaiml-albert-dpo-0912-v-9673-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
chaiml-albert-dpo-0912-v-9673-v2-mkmlizer: Downloaded to shared memory in 60.732s
chaiml-albert-dpo-0912-v-9673-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpia419o1s, device:0
chaiml-albert-dpo-0912-v-9673-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-albert-dpo-0912-v-9673-v2-mkmlizer: quantized model in 40.879s
chaiml-albert-dpo-0912-v-9673-v2-mkmlizer: Processed model ChaiML/albert_dpo_0912_virgo_edit_variety_ai_disagree_with_user in 101.612s
chaiml-albert-dpo-0912-v-9673-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-albert-dpo-0912-v-9673-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-albert-dpo-0912-v-9673-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-9673-v2
chaiml-albert-dpo-0912-v-9673-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-9673-v2/config.json
chaiml-albert-dpo-0912-v-9673-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-9673-v2/special_tokens_map.json
chaiml-albert-dpo-0912-v-9673-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-9673-v2/tokenizer_config.json
chaiml-albert-dpo-0912-v-9673-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-9673-v2/tokenizer.json
chaiml-albert-dpo-0912-v-9673-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-9673-v2/flywheel_model.0.safetensors
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Job chaiml-albert-dpo-0912-v-9673-v2-mkmlizer completed after 124.51s with status: succeeded
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Received healthy response to inference request in 1.3615751266479492s
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5th percentile: 1.4415250301361084
10th percentile: 1.5214749336242677
20th percentile: 1.681374740600586
30th percentile: 1.86489577293396
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50th percentile: 2.2791802883148193
60th percentile: 2.32306227684021
70th percentile: 2.3669442653656008
80th percentile: 2.7439612865448
90th percentile: 3.4541133403778077
95th percentile: 3.8091893672943113
99th percentile: 4.093250188827515
mean time: 2.391046142578125
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-albert-dpo-09715081b3f6de2f723271bbd61ad36e90-deplo5hfcm:/code/chaiverse_profiler_1726272375 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-albert-dpo-09715081b3f6de2f723271bbd61ad36e90-deplo5hfcm --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726272375 && 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_1726272375/summary.json'
kubectl exec -it chaiml-albert-dpo-09715081b3f6de2f723271bbd61ad36e90-deplo5hfcm --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726272375/summary.json'
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