trace2333-mistral-dpo-trail1

submission_id: trace2333-mistral-dpo-trail1_v2

developer_uid: Trace2333

best_of: 8

celo_rating: 1256.63

display_name: trace2333-mistral-dpo-trail1_v2

family_friendly_score: 0.0

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}

generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.06, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>'], 'max_input_tokens': 512, 'best_of': 8, 'max_output_tokens': 64}

gpu_counts: {'NVIDIA RTX A5000': 1}

is_internal_developer: False

language_model: Trace2333/mistral_dpo_trail1

latencies: [{'batch_size': 1, 'throughput': 0.7039228918400314, 'latency_mean': 1.4205172431468964, 'latency_p50': 1.4226560592651367, 'latency_p90': 1.5940174818038941}, {'batch_size': 3, 'throughput': 1.3509600920350067, 'latency_mean': 2.2126654398441317, 'latency_p50': 2.2197154760360718, 'latency_p90': 2.493104100227356}, {'batch_size': 5, 'throughput': 1.59561441290727, 'latency_mean': 3.1165970182418823, 'latency_p50': 3.1142425537109375, 'latency_p90': 3.4867151260375975}, {'batch_size': 6, 'throughput': 1.6424364704755663, 'latency_mean': 3.637619376182556, 'latency_p50': 3.625206232070923, 'latency_p90': 4.1895997524261475}, {'batch_size': 8, 'throughput': 1.6396190311305983, 'latency_mean': 4.853275482654571, 'latency_p50': 4.889989972114563, 'latency_p90': 5.528837442398071}, {'batch_size': 10, 'throughput': 1.579291121643863, 'latency_mean': 6.288628416061401, 'latency_p50': 6.3875943422317505, 'latency_p90': 7.104311609268188}]

max_input_tokens: 512

max_output_tokens: 64

model_architecture: MistralForCausalLM

model_group: Trace2333/mistral_dpo_tr

model_name: trace2333-mistral-dpo-trail1_v2

model_num_parameters: 12772070400.0

model_repo: Trace2333/mistral_dpo_trail1

model_size: 13B

num_battles: 10962

num_wins: 5691

ranking_group: single

status: torndown

submission_type: basic

throughput_3p7s: 1.65

timestamp: 2024-09-11T02:44:16+00:00

us_pacific_date: 2024-09-10

win_ratio: 0.5191570881226054

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 trace2333-mistral-dpo-trail1-v2-mkmlizer
Waiting for job on trace2333-mistral-dpo-trail1-v2-mkmlizer to finish
trace2333-mistral-dpo-trail1-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║     _____            __           __                                ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║       /___/                                                         ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║                                                                     ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║  Version: 0.10.1                                                    ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║  https://mk1.ai                                                     ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║                                                                     ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║  belonging to:                                                      ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║                                                                     ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║  Chai Research Corp.                                                ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║                                                                     ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
trace2333-mistral-dpo-trail1-v2-mkmlizer: Downloaded to shared memory in 34.515s
trace2333-mistral-dpo-trail1-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpt52uvh_h, device:0
trace2333-mistral-dpo-trail1-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
trace2333-mistral-dpo-trail1-v2-mkmlizer: quantized model in 35.861s
trace2333-mistral-dpo-trail1-v2-mkmlizer: Processed model Trace2333/mistral_dpo_trail1 in 70.376s
trace2333-mistral-dpo-trail1-v2-mkmlizer: creating bucket guanaco-mkml-models
trace2333-mistral-dpo-trail1-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-mistral-dpo-trail1-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-mistral-dpo-trail1-v2
trace2333-mistral-dpo-trail1-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-mistral-dpo-trail1-v2/special_tokens_map.json
trace2333-mistral-dpo-trail1-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-mistral-dpo-trail1-v2/config.json
trace2333-mistral-dpo-trail1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/trace2333-mistral-dpo-trail1-v2/tokenizer_config.json
trace2333-mistral-dpo-trail1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-mistral-dpo-trail1-v2/tokenizer.json
trace2333-mistral-dpo-trail1-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-mistral-dpo-trail1-v2/flywheel_model.0.safetensors
trace2333-mistral-dpo-trail1-v2-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   2%|▏         | 7/363 [00:00<00:06, 52.60it/s]
Loading 0:   6%|▌         | 22/363 [00:00<00:03, 87.54it/s]
Loading 0:   9%|▊         | 31/363 [00:00<00:03, 88.18it/s]
Loading 0:  11%|█         | 40/363 [00:00<00:03, 88.26it/s]
Loading 0:  14%|█▍        | 51/363 [00:00<00:03, 95.18it/s]
Loading 0:  17%|█▋        | 61/363 [00:01<00:14, 20.65it/s]
Loading 0:  21%|██        | 76/363 [00:01<00:09, 31.08it/s]
Loading 0:  24%|██▍       | 88/363 [00:02<00:07, 38.93it/s]
Loading 0:  27%|██▋       | 97/363 [00:02<00:05, 44.83it/s]
Loading 0:  29%|██▉       | 106/363 [00:02<00:05, 48.70it/s]
Loading 0:  32%|███▏      | 115/363 [00:02<00:04, 53.94it/s]
Loading 0:  34%|███▍      | 124/363 [00:02<00:04, 58.30it/s]
Loading 0:  37%|███▋      | 133/363 [00:02<00:03, 61.77it/s]
Loading 0:  39%|███▉      | 142/363 [00:03<00:10, 20.27it/s]
Loading 0:  42%|████▏     | 151/363 [00:03<00:08, 26.14it/s]
Loading 0:  46%|████▌     | 166/363 [00:04<00:05, 37.99it/s]
Loading 0:  49%|████▉     | 178/363 [00:04<00:04, 46.10it/s]
Loading 0:  52%|█████▏    | 187/363 [00:04<00:03, 51.92it/s]
Loading 0:  54%|█████▍    | 196/363 [00:04<00:02, 57.50it/s]
Loading 0:  58%|█████▊    | 211/363 [00:04<00:02, 70.00it/s]
Loading 0:  61%|██████▏   | 223/363 [00:05<00:05, 24.63it/s]
Loading 0:  66%|██████▌   | 238/363 [00:05<00:03, 33.86it/s]
Loading 0:  69%|██████▉   | 250/363 [00:06<00:02, 41.06it/s]
Loading 0:  71%|███████▏  | 259/363 [00:06<00:02, 46.64it/s]
Loading 0:  74%|███████▍  | 269/363 [00:06<00:01, 54.40it/s]
Loading 0:  78%|███████▊  | 283/363 [00:06<00:01, 64.21it/s]
Loading 0:  80%|████████  | 292/363 [00:06<00:01, 68.69it/s]
Loading 0:  83%|████████▎ | 301/363 [00:06<00:00, 71.42it/s]
Loading 0:  85%|████████▌ | 310/363 [00:07<00:02, 22.59it/s]
Loading 0:  88%|████████▊ | 319/363 [00:07<00:01, 28.34it/s]
Loading 0:  90%|█████████ | 328/363 [00:08<00:00, 35.01it/s]
Loading 0:  93%|█████████▎| 338/363 [00:08<00:00, 43.86it/s]
Loading 0:  96%|█████████▌| 349/363 [00:08<00:00, 51.19it/s]
Loading 0:  99%|█████████▊| 358/363 [00:08<00:00, 57.90it/s]
                                                            
Job trace2333-mistral-dpo-trail1-v2-mkmlizer completed after 95.76s with status: succeeded
Stopping job with name trace2333-mistral-dpo-trail1-v2-mkmlizer
Pipeline stage MKMLizer completed in 96.82s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.09s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service trace2333-mistral-dpo-trail1-v2
Waiting for inference service trace2333-mistral-dpo-trail1-v2 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service trace2333-mistral-dpo-trail1-v2 ready after 161.55307579040527s
Pipeline stage MKMLDeployer completed in 161.97s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1604108810424805s
Received healthy response to inference request in 1.99674391746521s
Received healthy response to inference request in 1.815537452697754s
Received healthy response to inference request in 2.2548587322235107s
Received healthy response to inference request in 1.6211800575256348s
5 requests
0 failed requests
5th percentile: 1.6600515365600585
10th percentile: 1.6989230155944823
20th percentile: 1.7766659736633301
30th percentile: 1.8517787456512451
40th percentile: 1.9242613315582275
50th percentile: 1.99674391746521
60th percentile: 2.062210702896118
70th percentile: 2.127677488327026
80th percentile: 2.1793004512786864
90th percentile: 2.217079591751099
95th percentile: 2.2359691619873048
99th percentile: 2.2510808181762694
mean time: 1.969746208190918
Pipeline stage StressChecker completed in 10.58s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 5.77s
Shutdown handler de-registered
trace2333-mistral-dpo-trail1_v2 status is now deployed due to DeploymentManager action
Shutdown handler registered
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 0.13s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service trace2333-mistral-dpo-trail1-v2-profiler
Waiting for inference service trace2333-mistral-dpo-trail1-v2-profiler to be ready
Inference service trace2333-mistral-dpo-trail1-v2-profiler ready after 160.38432836532593s
Pipeline stage MKMLProfilerDeployer completed in 160.73s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/trace2333-mistral-dpf138f33b93cbdf71f3eca249a444396e-deplowrsc5:/code/chaiverse_profiler_1726023135 --namespace tenant-chaiml-guanaco
kubectl exec -it trace2333-mistral-dpf138f33b93cbdf71f3eca249a444396e-deplowrsc5 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726023135 && 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 512 --output_tokens 64 --summary /code/chaiverse_profiler_1726023135/summary.json'
kubectl exec -it trace2333-mistral-dpf138f33b93cbdf71f3eca249a444396e-deplowrsc5 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726023135/summary.json'
Pipeline stage MKMLProfilerRunner completed in 933.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service trace2333-mistral-dpo-trail1-v2-profiler is running
Tearing down inference service trace2333-mistral-dpo-trail1-v2-profiler
Service trace2333-mistral-dpo-trail1-v2-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.00s
Shutdown handler de-registered
trace2333-mistral-dpo-trail1_v2 status is now inactive due to auto deactivation removed underperforming models
trace2333-mistral-dpo-trail1_v2 status is now torndown due to DeploymentManager action