epiculous-crimson-dawn-v0-2

developer_uid: Epiculous
submission_id: epiculous-crimson-dawn-v0-2_v1
model_name: Crimson_Dawn-v0-2-High-T
model_group: Epiculous/Crimson_Dawn-v
status: torndown
timestamp: 2024-09-03T11:32:56+00:00
num_battles: 13206
num_wins: 6862
celo_rating: 1250.32
family_friendly_score: 0.0
submission_type: basic
model_repo: Epiculous/Crimson_Dawn-v0.2
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 512
max_output_tokens: 64
display_name: Crimson_Dawn-v0-2-High-T
is_internal_developer: False
language_model: Epiculous/Crimson_Dawn-v0.2
model_size: 13B
ranking_group: single
us_pacific_date: 2024-09-03
win_ratio: 0.5196122974405574
generation_params: {'temperature': 5.0, 'top_p': 1.0, 'min_p': 0.55, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, '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': False}
Resubmit model
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name epiculous-crimson-dawn-v0-2-v1-mkmlizer
Waiting for job on epiculous-crimson-dawn-v0-2-v1-mkmlizer to finish
epiculous-crimson-dawn-v0-2-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
epiculous-crimson-dawn-v0-2-v1-mkmlizer: ║     _____            __           __                                ║
epiculous-crimson-dawn-v0-2-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
epiculous-crimson-dawn-v0-2-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
epiculous-crimson-dawn-v0-2-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
epiculous-crimson-dawn-v0-2-v1-mkmlizer: ║       /___/                                                         ║
epiculous-crimson-dawn-v0-2-v1-mkmlizer: ║                                                                     ║
epiculous-crimson-dawn-v0-2-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
epiculous-crimson-dawn-v0-2-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
epiculous-crimson-dawn-v0-2-v1-mkmlizer: ║  https://mk1.ai                                                     ║
epiculous-crimson-dawn-v0-2-v1-mkmlizer: ║                                                                     ║
epiculous-crimson-dawn-v0-2-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
epiculous-crimson-dawn-v0-2-v1-mkmlizer: ║  belonging to:                                                      ║
epiculous-crimson-dawn-v0-2-v1-mkmlizer: ║                                                                     ║
epiculous-crimson-dawn-v0-2-v1-mkmlizer: ║  Chai Research Corp.                                                ║
epiculous-crimson-dawn-v0-2-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
epiculous-crimson-dawn-v0-2-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
epiculous-crimson-dawn-v0-2-v1-mkmlizer: ║                                                                     ║
epiculous-crimson-dawn-v0-2-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
epiculous-crimson-dawn-v0-2-v1-mkmlizer: Downloaded to shared memory in 57.569s
epiculous-crimson-dawn-v0-2-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp9xvikkvf, device:0
epiculous-crimson-dawn-v0-2-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
epiculous-crimson-dawn-v0-2-v1-mkmlizer: quantized model in 35.527s
epiculous-crimson-dawn-v0-2-v1-mkmlizer: Processed model Epiculous/Crimson_Dawn-v0.2 in 93.096s
epiculous-crimson-dawn-v0-2-v1-mkmlizer: creating bucket guanaco-mkml-models
epiculous-crimson-dawn-v0-2-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
epiculous-crimson-dawn-v0-2-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/epiculous-crimson-dawn-v0-2-v1
epiculous-crimson-dawn-v0-2-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/epiculous-crimson-dawn-v0-2-v1/config.json
epiculous-crimson-dawn-v0-2-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/epiculous-crimson-dawn-v0-2-v1/special_tokens_map.json
epiculous-crimson-dawn-v0-2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/epiculous-crimson-dawn-v0-2-v1/tokenizer_config.json
epiculous-crimson-dawn-v0-2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/epiculous-crimson-dawn-v0-2-v1/tokenizer.json
epiculous-crimson-dawn-v0-2-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/epiculous-crimson-dawn-v0-2-v1/flywheel_model.0.safetensors
epiculous-crimson-dawn-v0-2-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:11, 30.95it/s]
Loading 0:   4%|▎         | 13/363 [00:00<00:06, 51.24it/s]
Loading 0:   5%|▌         | 19/363 [00:00<00:07, 43.72it/s]
Loading 0:   7%|▋         | 24/363 [00:00<00:07, 44.12it/s]
Loading 0:   9%|▊         | 31/363 [00:00<00:06, 51.74it/s]
Loading 0:  10%|█         | 37/363 [00:00<00:06, 48.04it/s]
Loading 0:  12%|█▏        | 43/363 [00:00<00:06, 47.99it/s]
Loading 0:  13%|█▎        | 48/363 [00:01<00:06, 48.51it/s]
Loading 0:  15%|█▍        | 53/363 [00:01<00:06, 47.97it/s]
Loading 0:  17%|█▋        | 60/363 [00:01<00:06, 47.12it/s]
Loading 0:  18%|█▊        | 65/363 [00:01<00:09, 32.89it/s]
Loading 0:  20%|█▉        | 72/363 [00:01<00:07, 39.61it/s]
Loading 0:  21%|██        | 77/363 [00:01<00:06, 41.04it/s]
Loading 0:  23%|██▎       | 82/363 [00:01<00:08, 34.34it/s]
Loading 0:  25%|██▍       | 89/363 [00:02<00:06, 39.82it/s]
Loading 0:  26%|██▌       | 94/363 [00:02<00:06, 39.84it/s]
Loading 0:  27%|██▋       | 99/363 [00:02<00:06, 40.35it/s]
Loading 0:  29%|██▉       | 105/363 [00:02<00:06, 40.84it/s]
Loading 0:  30%|███       | 110/363 [00:02<00:05, 42.77it/s]
Loading 0:  32%|███▏      | 115/363 [00:02<00:05, 43.68it/s]
Loading 0:  33%|███▎      | 120/363 [00:02<00:05, 43.04it/s]
Loading 0:  35%|███▍      | 126/363 [00:02<00:05, 46.27it/s]
Loading 0:  36%|███▋      | 132/363 [00:03<00:05, 45.42it/s]
Loading 0:  38%|███▊      | 137/363 [00:03<00:05, 44.55it/s]
Loading 0:  39%|███▉      | 142/363 [00:03<00:06, 34.84it/s]
Loading 0:  40%|████      | 146/363 [00:03<00:06, 35.62it/s]
Loading 0:  41%|████▏     | 150/363 [00:03<00:06, 35.45it/s]
Loading 0:  43%|████▎     | 157/363 [00:03<00:04, 42.28it/s]
Loading 0:  45%|████▍     | 163/363 [00:03<00:04, 42.72it/s]
Loading 0:  46%|████▋     | 168/363 [00:04<00:04, 40.86it/s]
Loading 0:  48%|████▊     | 174/363 [00:04<00:04, 44.13it/s]
Loading 0:  49%|████▉     | 179/363 [00:04<00:04, 42.79it/s]
Loading 0:  51%|█████     | 184/363 [00:04<00:04, 42.26it/s]
Loading 0:  52%|█████▏    | 189/363 [00:04<00:04, 43.24it/s]
Loading 0:  53%|█████▎    | 194/363 [00:04<00:04, 35.72it/s]
Loading 0:  56%|█████▌    | 202/363 [00:04<00:03, 44.63it/s]
Loading 0:  57%|█████▋    | 207/363 [00:04<00:03, 42.72it/s]
Loading 0:  58%|█████▊    | 212/363 [00:05<00:04, 36.11it/s]
Loading 0:  61%|██████    | 221/363 [00:05<00:02, 47.43it/s]
Loading 0:  63%|██████▎   | 227/363 [00:05<00:04, 33.35it/s]
Loading 0:  64%|██████▍   | 232/363 [00:05<00:03, 33.96it/s]
Loading 0:  65%|██████▌   | 237/363 [00:05<00:03, 36.24it/s]
Loading 0:  67%|██████▋   | 242/363 [00:05<00:03, 38.13it/s]
Loading 0:  68%|██████▊   | 247/363 [00:06<00:02, 40.49it/s]
Loading 0:  70%|██████▉   | 253/363 [00:06<00:02, 41.70it/s]
Loading 0:  71%|███████   | 258/363 [00:06<00:02, 41.15it/s]
Loading 0:  73%|███████▎  | 264/363 [00:06<00:02, 45.62it/s]
Loading 0:  74%|███████▍  | 269/363 [00:06<00:02, 43.49it/s]
Loading 0:  75%|███████▌  | 274/363 [00:06<00:02, 42.44it/s]
Loading 0:  77%|███████▋  | 280/363 [00:06<00:01, 42.02it/s]
Loading 0:  79%|███████▊  | 285/363 [00:06<00:01, 39.69it/s]
Loading 0:  80%|████████  | 291/363 [00:07<00:01, 43.91it/s]
Loading 0:  82%|████████▏ | 296/363 [00:07<00:01, 45.30it/s]
Loading 0:  83%|████████▎ | 303/363 [00:07<00:01, 44.26it/s]
Loading 0:  85%|████████▍ | 308/363 [00:14<00:20,  2.63it/s]
Loading 0:  86%|████████▌ | 312/363 [00:14<00:15,  3.35it/s]
Loading 0:  88%|████████▊ | 321/363 [00:14<00:07,  5.60it/s]
Loading 0:  91%|█████████ | 329/363 [00:14<00:04,  8.29it/s]
Loading 0:  92%|█████████▏| 335/363 [00:14<00:02, 10.67it/s]
Loading 0:  94%|█████████▎| 340/363 [00:14<00:01, 13.16it/s]
Loading 0:  96%|█████████▌| 348/363 [00:14<00:00, 17.71it/s]
Loading 0:  98%|█████████▊| 356/363 [00:15<00:00, 23.62it/s]
Loading 0: 100%|█████████▉| 362/363 [00:15<00:00, 27.20it/s]
                                                            
Job epiculous-crimson-dawn-v0-2-v1-mkmlizer completed after 115.95s with status: succeeded
Stopping job with name epiculous-crimson-dawn-v0-2-v1-mkmlizer
Pipeline stage MKMLizer completed in 116.95s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service epiculous-crimson-dawn-v0-2-v1
Waiting for inference service epiculous-crimson-dawn-v0-2-v1 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Retrying (%r) after connection broken by '%r': %s
Inference service epiculous-crimson-dawn-v0-2-v1 ready after 150.65371942520142s
Pipeline stage MKMLDeployer completed in 151.24s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.293191432952881s
Received healthy response to inference request in 2.0444459915161133s
Received healthy response to inference request in 1.7505879402160645s
Received healthy response to inference request in 1.8672189712524414s
Received healthy response to inference request in 1.8212487697601318s
5 requests
0 failed requests
5th percentile: 1.7647201061248778
10th percentile: 1.7788522720336915
20th percentile: 1.8071166038513184
30th percentile: 1.8304428100585937
40th percentile: 1.8488308906555175
50th percentile: 1.8672189712524414
60th percentile: 1.93810977935791
70th percentile: 2.0090005874633787
80th percentile: 2.094195079803467
90th percentile: 2.193693256378174
95th percentile: 2.243442344665527
99th percentile: 2.28324161529541
mean time: 1.9553386211395263
Pipeline stage StressChecker completed in 11.01s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
starting trigger_guanaco_pipeline %s
Pipeline stage TriggerMKMLProfilingPipeline completed in 5.02s
epiculous-crimson-dawn-v0-2_v1 status is now deployed due to DeploymentManager action
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.13s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service epiculous-crimson-dawn-v0-2-v1-profiler
Waiting for inference service epiculous-crimson-dawn-v0-2-v1-profiler to be ready
Inference service epiculous-crimson-dawn-v0-2-v1-profiler ready after 140.3186798095703s
Pipeline stage MKMLProfilerDeployer completed in 140.77s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/epiculous-crimson-dad7b7039a253adcf480bd1306efd3afda-deplo4qlh9:/code/chaiverse_profiler_1725363643 --namespace tenant-chaiml-guanaco
kubectl exec -it epiculous-crimson-dad7b7039a253adcf480bd1306efd3afda-deplo4qlh9 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725363643 && chmod +x profiles.py && python profiles.py profile --best_of_n 8 --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 512 --output_tokens 64 --summary /code/chaiverse_profiler_1725363643/summary.json'
epiculous-crimson-dawn-v0-2_v1 status is now inactive due to auto deactivation removed underperforming models
epiculous-crimson-dawn-v0-2_v1 status is now torndown due to DeploymentManager action