developer_uid: chai_backend_admin
submission_id: rica40325-10-14dpo_v9
model_name: rica40325-10-14dpo_v1
model_group: rica40325/10_14dpo
status: inactive
timestamp: 2024-12-14T23:51:02+00:00
num_battles: 14716
num_wins: 7965
celo_rating: 1292.4
family_friendly_score: 0.5766
family_friendly_standard_error: 0.00698759529452014
submission_type: basic
model_repo: rica40325/10_14dpo
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6170451334410024, 'latency_mean': 1.6205375838279723, 'latency_p50': 1.6179206371307373, 'latency_p90': 1.7885252952575683}, {'batch_size': 3, 'throughput': 1.1318767495204534, 'latency_mean': 2.6415716552734376, 'latency_p50': 2.6438106298446655, 'latency_p90': 2.897893738746643}, {'batch_size': 5, 'throughput': 1.3872384333057455, 'latency_mean': 3.587056062221527, 'latency_p50': 3.568228244781494, 'latency_p90': 4.028996706008911}, {'batch_size': 6, 'throughput': 1.450057304659126, 'latency_mean': 4.117453441619873, 'latency_p50': 4.12407124042511, 'latency_p90': 4.5594106912612915}, {'batch_size': 8, 'throughput': 1.5160574340694386, 'latency_mean': 5.2514105784893035, 'latency_p50': 5.2547255754470825, 'latency_p90': 5.868415284156799}, {'batch_size': 10, 'throughput': 1.55214760044771, 'latency_mean': 6.404691489934922, 'latency_p50': 6.409610390663147, 'latency_p90': 7.296087789535522}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: rica40325-10-14dpo_v1
is_internal_developer: True
language_model: rica40325/10_14dpo
model_size: 13B
ranking_group: single
throughput_3p7s: 1.41
us_pacific_date: 2024-12-14
win_ratio: 0.5412476216363142
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', 'Bot:', 'User:', 'You:', 'Me:', '####'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', '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 rica40325-10-14dpo-v9-mkmlizer
Waiting for job on rica40325-10-14dpo-v9-mkmlizer to finish
rica40325-10-14dpo-v9-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rica40325-10-14dpo-v9-mkmlizer: ║ _____ __ __ ║
rica40325-10-14dpo-v9-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
rica40325-10-14dpo-v9-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
rica40325-10-14dpo-v9-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
rica40325-10-14dpo-v9-mkmlizer: ║ /___/ ║
rica40325-10-14dpo-v9-mkmlizer: ║ ║
rica40325-10-14dpo-v9-mkmlizer: ║ Version: 0.11.12 ║
rica40325-10-14dpo-v9-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
rica40325-10-14dpo-v9-mkmlizer: ║ https://mk1.ai ║
rica40325-10-14dpo-v9-mkmlizer: ║ ║
rica40325-10-14dpo-v9-mkmlizer: ║ The license key for the current software has been verified as ║
rica40325-10-14dpo-v9-mkmlizer: ║ belonging to: ║
rica40325-10-14dpo-v9-mkmlizer: ║ ║
rica40325-10-14dpo-v9-mkmlizer: ║ Chai Research Corp. ║
rica40325-10-14dpo-v9-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rica40325-10-14dpo-v9-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
rica40325-10-14dpo-v9-mkmlizer: ║ ║
rica40325-10-14dpo-v9-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rica40325-10-14dpo-v9-mkmlizer: Downloaded to shared memory in 61.529s
rica40325-10-14dpo-v9-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpg6gk0c8q, device:0
rica40325-10-14dpo-v9-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rica40325-10-14dpo-v9-mkmlizer: quantized model in 42.022s
rica40325-10-14dpo-v9-mkmlizer: Processed model rica40325/10_14dpo in 103.552s
rica40325-10-14dpo-v9-mkmlizer: creating bucket guanaco-mkml-models
rica40325-10-14dpo-v9-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-10-14dpo-v9-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-10-14dpo-v9
rica40325-10-14dpo-v9-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-10-14dpo-v9/config.json
rica40325-10-14dpo-v9-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-10-14dpo-v9/special_tokens_map.json
rica40325-10-14dpo-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-10-14dpo-v9/tokenizer_config.json
rica40325-10-14dpo-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-10-14dpo-v9/tokenizer.json
rica40325-10-14dpo-v9-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-10-14dpo-v9/flywheel_model.0.safetensors
rica40325-10-14dpo-v9-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:16, 22.08it/s] Loading 0: 3%|▎ | 10/363 [00:00<00:12, 28.20it/s] Loading 0: 4%|▍ | 14/363 [00:00<00:14, 24.19it/s] Loading 0: 6%|▌ | 20/363 [00:00<00:10, 33.29it/s] Loading 0: 7%|▋ | 24/363 [00:00<00:14, 22.73it/s] Loading 0: 7%|▋ | 27/363 [00:01<00:15, 21.75it/s] Loading 0: 9%|▊ | 31/363 [00:01<00:13, 25.23it/s] Loading 0: 9%|▉ | 34/363 [00:01<00:13, 25.16it/s] Loading 0: 11%|█ | 39/363 [00:01<00:11, 28.52it/s] Loading 0: 12%|█▏ | 43/363 [00:01<00:11, 27.66it/s] Loading 0: 13%|█▎ | 48/363 [00:01<00:10, 30.92it/s] Loading 0: 14%|█▍ | 52/363 [00:01<00:10, 29.00it/s] Loading 0: 15%|█▌ | 56/363 [00:02<00:10, 29.67it/s] Loading 0: 17%|█▋ | 61/363 [00:02<00:12, 25.13it/s] Loading 0: 18%|█▊ | 64/363 [00:02<00:13, 21.74it/s] Loading 0: 20%|█▉ | 71/363 [00:02<00:10, 28.46it/s] Loading 0: 21%|██ | 75/363 [00:02<00:10, 28.14it/s] Loading 0: 21%|██▏ | 78/363 [00:02<00:11, 25.68it/s] Loading 0: 23%|██▎ | 84/363 [00:03<00:09, 30.10it/s] Loading 0: 24%|██▍ | 88/363 [00:03<00:09, 28.11it/s] Loading 0: 25%|██▌ | 91/363 [00:03<00:09, 28.26it/s] Loading 0: 26%|██▌ | 95/363 [00:03<00:10, 24.98it/s] Loading 0: 28%|██▊ | 101/363 [00:03<00:10, 24.02it/s] Loading 0: 29%|██▊ | 104/363 [00:04<00:12, 21.39it/s] Loading 0: 31%|███ | 111/363 [00:04<00:08, 28.43it/s] Loading 0: 32%|███▏ | 115/363 [00:04<00:09, 27.35it/s] Loading 0: 33%|███▎ | 120/363 [00:04<00:08, 29.41it/s] Loading 0: 34%|███▍ | 124/363 [00:04<00:08, 28.19it/s] Loading 0: 36%|███▌ | 129/363 [00:04<00:07, 30.31it/s] Loading 0: 37%|███▋ | 133/363 [00:04<00:07, 29.04it/s] Loading 0: 38%|███▊ | 137/363 [00:05<00:07, 28.98it/s] Loading 0: 39%|███▉ | 142/363 [00:05<00:08, 25.32it/s] Loading 0: 40%|███▉ | 145/363 [00:05<00:09, 23.78it/s] Loading 0: 41%|████ | 149/363 [00:05<00:09, 22.33it/s] Loading 0: 43%|████▎ | 156/363 [00:05<00:07, 28.94it/s] Loading 0: 44%|████▍ | 160/363 [00:05<00:07, 27.91it/s] Loading 0: 45%|████▌ | 165/363 [00:06<00:06, 30.79it/s] Loading 0: 47%|████▋ | 169/363 [00:06<00:07, 27.69it/s] Loading 0: 48%|████▊ | 174/363 [00:06<00:06, 29.47it/s] Loading 0: 49%|████▉ | 178/363 [00:06<00:06, 28.28it/s] Loading 0: 50%|█████ | 182/363 [00:06<00:07, 23.12it/s] Loading 0: 51%|█████ | 185/363 [00:07<00:08, 20.52it/s] Loading 0: 52%|█████▏ | 190/363 [00:07<00:06, 25.02it/s] Loading 0: 53%|█████▎ | 194/363 [00:07<00:07, 23.09it/s] Loading 0: 55%|█████▌ | 201/363 [00:07<00:05, 29.61it/s] Loading 0: 56%|█████▋ | 205/363 [00:07<00:05, 29.00it/s] Loading 0: 58%|█████▊ | 210/363 [00:07<00:04, 31.79it/s] Loading 0: 59%|█████▉ | 214/363 [00:07<00:04, 30.67it/s] Loading 0: 60%|██████ | 218/363 [00:08<00:04, 31.09it/s] Loading 0: 61%|██████▏ | 223/363 [00:08<00:05, 26.47it/s] Loading 0: 62%|██████▏ | 226/363 [00:08<00:05, 24.67it/s] Loading 0: 63%|██████▎ | 230/363 [00:08<00:05, 22.58it/s] Loading 0: 65%|██████▍ | 235/363 [00:08<00:04, 27.50it/s] Loading 0: 66%|██████▌ | 239/363 [00:08<00:05, 24.36it/s] Loading 0: 67%|██████▋ | 244/363 [00:09<00:04, 28.65it/s] Loading 0: 68%|██████▊ | 248/363 [00:09<00:04, 24.65it/s] Loading 0: 70%|██████▉ | 253/363 [00:09<00:03, 28.85it/s] Loading 0: 71%|███████ | 257/363 [00:09<00:04, 24.79it/s] Loading 0: 72%|███████▏ | 263/363 [00:09<00:04, 23.46it/s] Loading 0: 73%|███████▎ | 266/363 [00:10<00:04, 21.00it/s] Loading 0: 75%|███████▌ | 273/363 [00:10<00:03, 27.54it/s] Loading 0: 76%|███████▋ | 277/363 [00:10<00:03, 27.19it/s] Loading 0: 78%|███████▊ | 282/363 [00:10<00:02, 29.50it/s] Loading 0: 79%|███████▉ | 286/363 [00:10<00:02, 27.89it/s] Loading 0: 80%|████████ | 291/363 [00:10<00:02, 29.60it/s] Loading 0: 81%|████████▏ | 295/363 [00:11<00:02, 27.89it/s] Loading 0: 82%|████████▏ | 299/363 [00:11<00:02, 28.60it/s] Loading 0: 84%|████████▎ | 304/363 [00:11<00:02, 24.46it/s] Loading 0: 85%|████████▍ | 307/363 [00:11<00:02, 22.99it/s] Loading 0: 86%|████████▌ | 311/363 [00:11<00:02, 21.82it/s] Loading 0: 88%|████████▊ | 318/363 [00:11<00:01, 28.16it/s] Loading 0: 88%|████████▊ | 321/363 [00:12<00:01, 25.88it/s] Loading 0: 90%|█████████ | 327/363 [00:12<00:01, 30.36it/s] Loading 0: 91%|█████████ | 331/363 [00:12<00:01, 28.60it/s] Loading 0: 93%|█████████▎| 336/363 [00:12<00:00, 30.01it/s] Loading 0: 94%|█████████▎| 340/363 [00:12<00:00, 27.90it/s] Loading 0: 95%|█████████▍| 344/363 [00:19<00:09, 1.96it/s] Loading 0: 96%|█████████▌| 348/363 [00:19<00:05, 2.62it/s] Loading 0: 97%|█████████▋| 353/363 [00:20<00:02, 3.80it/s] Loading 0: 98%|█████████▊| 357/363 [00:20<00:01, 4.92it/s]
Job rica40325-10-14dpo-v9-mkmlizer completed after 126.43s with status: succeeded
Stopping job with name rica40325-10-14dpo-v9-mkmlizer
Pipeline stage MKMLizer completed in 126.96s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service rica40325-10-14dpo-v9
Waiting for inference service rica40325-10-14dpo-v9 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service rica40325-10-14dpo-v9 ready after 201.43020224571228s
Pipeline stage MKMLDeployer completed in 202.02s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5218772888183594s
Received healthy response to inference request in 1.9548561573028564s
Received healthy response to inference request in 1.646789789199829s
Received healthy response to inference request in 1.702364206314087s
Received healthy response to inference request in 1.7444822788238525s
5 requests
0 failed requests
5th percentile: 1.6579046726226807
10th percentile: 1.6690195560455323
20th percentile: 1.6912493228912353
30th percentile: 1.71078782081604
40th percentile: 1.7276350498199462
50th percentile: 1.7444822788238525
60th percentile: 1.828631830215454
70th percentile: 1.9127813816070556
80th percentile: 2.068260383605957
90th percentile: 2.2950688362121583
95th percentile: 2.4084730625152586
99th percentile: 2.4991964435577394
mean time: 1.9140739440917969
Pipeline stage StressChecker completed in 11.03s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 2.58s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 2.36s
Shutdown handler de-registered
rica40325-10-14dpo_v9 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2738.90s
Shutdown handler de-registered
rica40325-10-14dpo_v9 status is now inactive due to auto deactivation removed underperforming models