zzyabc-mixtral-8x7b-v0-1

developer_uid: ZZYABC

submission_id: zzyabc-mixtral-8x7b-v0-1_v2

model_name: zzyabc-mixtral-8x7b-v0-1_v1

model_group: ZZYABC/Mixtral-8x7B-v0.1

status: torndown

timestamp: 2024-12-20T06:53:05+00:00

num_battles: 9339

num_wins: 3909

celo_rating: 1201.08

family_friendly_score: 0.5788

family_friendly_standard_error: 0.006982700910106346

submission_type: basic

model_repo: ZZYABC/Mixtral-8x7B-v0.1

model_architecture: MistralForCausalLM

model_num_parameters: 7241732096.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

reward_model: default

latencies: [{'batch_size': 1, 'throughput': 0.898626548446122, 'latency_mean': 1.112745532989502, 'latency_p50': 1.1161987781524658, 'latency_p90': 1.2210419416427611}, {'batch_size': 4, 'throughput': 1.9542615043128262, 'latency_mean': 2.0417799067497255, 'latency_p50': 2.023975968360901, 'latency_p90': 2.2690073966979982}, {'batch_size': 5, 'throughput': 2.086580906430865, 'latency_mean': 2.386829791069031, 'latency_p50': 2.3999147415161133, 'latency_p90': 2.690440821647644}, {'batch_size': 8, 'throughput': 2.3266165461180384, 'latency_mean': 3.4052977240085602, 'latency_p50': 3.416251301765442, 'latency_p90': 3.839232349395752}, {'batch_size': 10, 'throughput': 2.3936846870418766, 'latency_mean': 4.143710740804672, 'latency_p50': 4.1862276792526245, 'latency_p90': 4.615781831741333}, {'batch_size': 12, 'throughput': 2.441793889010703, 'latency_mean': 4.864892554283142, 'latency_p50': 4.889755725860596, 'latency_p90': 5.500498127937317}, {'batch_size': 15, 'throughput': 2.434516301576538, 'latency_mean': 6.075089344978332, 'latency_p50': 6.114722847938538, 'latency_p90': 6.802612471580505}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: zzyabc-mixtral-8x7b-v0-1_v1

is_internal_developer: False

language_model: ZZYABC/Mixtral-8x7B-v0.1

model_size: 7B

ranking_group: single

throughput_3p7s: 2.38

us_pacific_date: 2024-12-19

win_ratio: 0.4185672984259557

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'], '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 zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer
Waiting for job on zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer to finish
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: ║     _____            __           __                                ║
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: ║       /___/                                                         ║
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: ║                                                                     ║
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: ║  Version: 0.11.12                                                   ║
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: ║  https://mk1.ai                                                     ║
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: ║                                                                     ║
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: ║  belonging to:                                                      ║
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: ║                                                                     ║
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: ║  Chai Research Corp.                                                ║
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: ║                                                                     ║
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: Downloaded to shared memory in 21.318s
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpjbsvk3ah, device:0
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/mk1/flywheel/functional/loader.py:55: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer:   tensors = torch.load(model_shard_filename, map_location=torch.device(self.device), mmap=True)
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: quantized model in 17.620s
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: Processed model ZZYABC/Mixtral-8x7B-v0.1 in 38.939s
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: creating bucket guanaco-mkml-models
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zzyabc-mixtral-8x7b-v0-1-v2
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zzyabc-mixtral-8x7b-v0-1-v2/config.json
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zzyabc-mixtral-8x7b-v0-1-v2/special_tokens_map.json
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zzyabc-mixtral-8x7b-v0-1-v2/tokenizer_config.json
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/zzyabc-mixtral-8x7b-v0-1-v2/tokenizer.model
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zzyabc-mixtral-8x7b-v0-1-v2/tokenizer.json
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zzyabc-mixtral-8x7b-v0-1-v2/flywheel_model.0.safetensors
zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   2%|▏         | 6/291 [00:00<00:04, 58.15it/s]
Loading 0:   4%|▍         | 13/291 [00:00<00:04, 63.66it/s]
Loading 0:   8%|▊         | 22/291 [00:00<00:03, 73.84it/s]
Loading 0:  11%|█         | 31/291 [00:00<00:03, 78.56it/s]
Loading 0:  14%|█▎        | 40/291 [00:00<00:03, 79.58it/s]
Loading 0:  17%|█▋        | 49/291 [00:00<00:03, 77.93it/s]
Loading 0:  20%|█▉        | 58/291 [00:00<00:02, 78.75it/s]
Loading 0:  23%|██▎       | 67/291 [00:00<00:02, 81.13it/s]
Loading 0:  26%|██▌       | 76/291 [00:00<00:02, 81.41it/s]
Loading 0:  29%|██▉       | 85/291 [00:01<00:02, 83.75it/s]
Loading 0:  33%|███▎      | 97/291 [00:01<00:02, 84.00it/s]
Loading 0:  36%|███▋      | 106/291 [00:02<00:08, 21.77it/s]
Loading 0:  40%|███▉      | 115/291 [00:02<00:06, 27.72it/s]
Loading 0:  43%|████▎     | 125/291 [00:02<00:04, 35.81it/s]
Loading 0:  48%|████▊     | 139/291 [00:02<00:03, 47.48it/s]
Loading 0:  51%|█████     | 148/291 [00:02<00:02, 53.62it/s]
Loading 0:  54%|█████▍    | 157/291 [00:02<00:02, 59.12it/s]
Loading 0:  57%|█████▋    | 166/291 [00:03<00:01, 64.82it/s]
Loading 0:  60%|██████    | 175/291 [00:03<00:01, 67.49it/s]
Loading 0:  63%|██████▎   | 184/291 [00:03<00:01, 64.95it/s]
Loading 0:  66%|██████▋   | 193/291 [00:03<00:01, 66.23it/s]
Loading 0:  69%|██████▉   | 202/291 [00:03<00:01, 71.38it/s]
Loading 0:  72%|███████▏  | 210/291 [00:04<00:03, 21.94it/s]
Loading 0:  76%|███████▌  | 220/291 [00:04<00:02, 28.28it/s]
Loading 0:  79%|███████▉  | 230/291 [00:04<00:01, 36.64it/s]
Loading 0:  82%|████████▏ | 238/291 [00:04<00:01, 42.61it/s]
Loading 0:  85%|████████▍ | 247/291 [00:05<00:00, 48.39it/s]
Loading 0:  88%|████████▊ | 257/291 [00:05<00:00, 57.84it/s]
Loading 0:  91%|█████████▏| 266/291 [00:05<00:00, 63.92it/s]
Loading 0:  95%|█████████▍| 275/291 [00:05<00:00, 69.18it/s]
Loading 0:  98%|█████████▊| 284/291 [00:05<00:00, 69.35it/s]
                                                            
Job zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer completed after 63.49s with status: succeeded
Stopping job with name zzyabc-mixtral-8x7b-v0-1-v2-mkmlizer
Pipeline stage MKMLizer completed in 63.96s
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 zzyabc-mixtral-8x7b-v0-1-v2
Waiting for inference service zzyabc-mixtral-8x7b-v0-1-v2 to be ready
Inference service zzyabc-mixtral-8x7b-v0-1-v2 ready after 251.0724892616272s
Pipeline stage MKMLDeployer completed in 251.52s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 1.514030933380127s
Received healthy response to inference request in 1.0949440002441406s
Received healthy response to inference request in 2.0083539485931396s
Received healthy response to inference request in 1.1995201110839844s
5 requests
1 failed requests
5th percentile: 1.1158592224121093
10th percentile: 1.136774444580078
20th percentile: 1.1786048889160157
30th percentile: 1.2624222755432128
40th percentile: 1.38822660446167
50th percentile: 1.514030933380127
60th percentile: 1.711760139465332
70th percentile: 1.909489345550537
80th percentile: 5.6594654083251985
90th percentile: 12.961688327789307
95th percentile: 16.61279978752136
99th percentile: 19.533688955307007
mean time: 5.216152048110962
%s, retrying in %s seconds...
Received healthy response to inference request in 1.1297791004180908s
Received healthy response to inference request in 1.2421762943267822s
Received healthy response to inference request in 1.8833074569702148s
Received healthy response to inference request in 0.9008815288543701s
Received healthy response to inference request in 0.9390676021575928s
5 requests
0 failed requests
5th percentile: 0.9085187435150146
10th percentile: 0.9161559581756592
20th percentile: 0.9314303874969483
30th percentile: 0.9772099018096924
40th percentile: 1.0534945011138916
50th percentile: 1.1297791004180908
60th percentile: 1.1747379779815674
70th percentile: 1.219696855545044
80th percentile: 1.370402526855469
90th percentile: 1.6268549919128419
95th percentile: 1.7550812244415281
99th percentile: 1.8576622104644775
mean time: 1.2190423965454102
Pipeline stage StressChecker completed in 34.66s
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 2.20s
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 2.03s
Shutdown handler de-registered
zzyabc-mixtral-8x7b-v0-1_v2 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 2067.54s
Shutdown handler de-registered
zzyabc-mixtral-8x7b-v0-1_v2 status is now inactive due to auto deactivation removed underperforming models
zzyabc-mixtral-8x7b-v0-1_v2 status is now torndown due to DeploymentManager action
zzyabc-mixtral-8x7b-v0-1_v2 status is now torndown due to DeploymentManager action
zzyabc-mixtral-8x7b-v0-1_v2 status is now torndown due to DeploymentManager action