developer_uid: zonemercy
submission_id: chaiml-snugstable2-5-12_33537_v2
model_name: tempv1-5
model_group: ChaiML/SnugStable2.5-12b
status: torndown
timestamp: 2025-01-08T09:22:33+00:00
num_battles: 5547
num_wins: 2927
celo_rating: 1288.89
family_friendly_score: 0.5868
family_friendly_standard_error: 0.006963702463488802
submission_type: basic
model_repo: ChaiML/SnugStable2.5-12b0-l1e5r7b25
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 768
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.6543269603524331, 'latency_mean': 1.5281947696208953, 'latency_p50': 1.5209457874298096, 'latency_p90': 1.6939929008483887}, {'batch_size': 3, 'throughput': 1.2532363008316487, 'latency_mean': 2.3827451884746553, 'latency_p50': 2.3974095582962036, 'latency_p90': 2.6323519945144653}, {'batch_size': 5, 'throughput': 1.549488165864225, 'latency_mean': 3.217442239522934, 'latency_p50': 3.1995742321014404, 'latency_p90': 3.5907169342041017}, {'batch_size': 6, 'throughput': 1.6489072265306062, 'latency_mean': 3.616421049833298, 'latency_p50': 3.603469967842102, 'latency_p90': 4.059414720535278}, {'batch_size': 8, 'throughput': 1.7463406904878696, 'latency_mean': 4.545751824378967, 'latency_p50': 4.529727220535278, 'latency_p90': 5.157992649078369}, {'batch_size': 10, 'throughput': 1.7969116596198869, 'latency_mean': 5.514190881252289, 'latency_p50': 5.501399993896484, 'latency_p90': 6.169296145439148}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: tempv1-5
is_internal_developer: True
language_model: ChaiML/SnugStable2.5-12b0-l1e5r7b25
model_size: 13B
ranking_group: single
throughput_3p7s: 1.67
us_pacific_date: 2025-01-08
win_ratio: 0.5276726158283757
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': ['User:', '<|eot_id|>', '<|im_end|>', 'Bot:', '####', 'You:', '\n', '</s>'], 'max_input_tokens': 768, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': True}
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 chaiml-snugstable2-5-12-33537-v2-mkmlizer
Waiting for job on chaiml-snugstable2-5-12-33537-v2-mkmlizer to finish
chaiml-snugstable2-5-12-33537-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-snugstable2-5-12-33537-v2-mkmlizer: ║ _____ __ __ ║
chaiml-snugstable2-5-12-33537-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
chaiml-snugstable2-5-12-33537-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
chaiml-snugstable2-5-12-33537-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
chaiml-snugstable2-5-12-33537-v2-mkmlizer: ║ /___/ ║
chaiml-snugstable2-5-12-33537-v2-mkmlizer: ║ ║
chaiml-snugstable2-5-12-33537-v2-mkmlizer: ║ Version: 0.11.12 ║
chaiml-snugstable2-5-12-33537-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-snugstable2-5-12-33537-v2-mkmlizer: ║ https://mk1.ai ║
chaiml-snugstable2-5-12-33537-v2-mkmlizer: ║ ║
chaiml-snugstable2-5-12-33537-v2-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-snugstable2-5-12-33537-v2-mkmlizer: ║ belonging to: ║
chaiml-snugstable2-5-12-33537-v2-mkmlizer: ║ ║
chaiml-snugstable2-5-12-33537-v2-mkmlizer: ║ Chai Research Corp. ║
chaiml-snugstable2-5-12-33537-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-snugstable2-5-12-33537-v2-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
chaiml-snugstable2-5-12-33537-v2-mkmlizer: ║ ║
chaiml-snugstable2-5-12-33537-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-snugstable2-5-12-33537-v2-mkmlizer: Downloaded to shared memory in 35.160s
chaiml-snugstable2-5-12-33537-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpkahyo5_j, device:0
chaiml-snugstable2-5-12-33537-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-snugstable2-5-12-33537-v2-mkmlizer: quantized model in 38.382s
chaiml-snugstable2-5-12-33537-v2-mkmlizer: Processed model ChaiML/SnugStable2.5-12b0-l1e5r7b25 in 73.542s
chaiml-snugstable2-5-12-33537-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-snugstable2-5-12-33537-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-snugstable2-5-12-33537-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-snugstable2-5-12-33537-v2
chaiml-snugstable2-5-12-33537-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-snugstable2-5-12-33537-v2/config.json
chaiml-snugstable2-5-12-33537-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-snugstable2-5-12-33537-v2/special_tokens_map.json
chaiml-snugstable2-5-12-33537-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-snugstable2-5-12-33537-v2/tokenizer_config.json
chaiml-snugstable2-5-12-33537-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-snugstable2-5-12-33537-v2/tokenizer.json
chaiml-snugstable2-5-12-33537-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-snugstable2-5-12-33537-v2/flywheel_model.0.safetensors
chaiml-snugstable2-5-12-33537-v2-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:14, 25.41it/s] Loading 0: 3%|▎ | 12/363 [00:00<00:08, 39.97it/s] Loading 0: 5%|▍ | 17/363 [00:00<00:08, 38.81it/s] Loading 0: 6%|▌ | 22/363 [00:00<00:08, 38.62it/s] Loading 0: 7%|▋ | 26/363 [00:00<00:08, 37.91it/s] Loading 0: 8%|▊ | 30/363 [00:00<00:08, 37.81it/s] Loading 0: 9%|▉ | 34/363 [00:00<00:09, 35.38it/s] Loading 0: 11%|█ | 39/363 [00:01<00:08, 37.68it/s] Loading 0: 12%|█▏ | 43/363 [00:01<00:09, 34.93it/s] Loading 0: 13%|█▎ | 48/363 [00:01<00:08, 37.32it/s] Loading 0: 14%|█▍ | 52/363 [00:01<00:08, 35.16it/s] Loading 0: 15%|█▌ | 56/363 [00:01<00:08, 35.09it/s] Loading 0: 17%|█▋ | 61/363 [00:01<00:11, 26.83it/s] Loading 0: 18%|█▊ | 65/363 [00:01<00:11, 26.47it/s] Loading 0: 19%|█▉ | 69/363 [00:02<00:10, 29.14it/s] Loading 0: 20%|██ | 73/363 [00:02<00:10, 28.19it/s] Loading 0: 22%|██▏ | 80/363 [00:02<00:07, 36.20it/s] Loading 0: 23%|██▎ | 84/363 [00:02<00:07, 34.91it/s] Loading 0: 25%|██▍ | 89/363 [00:02<00:07, 37.17it/s] Loading 0: 26%|██▌ | 93/363 [00:02<00:07, 35.56it/s] Loading 0: 27%|██▋ | 98/363 [00:02<00:07, 37.11it/s] Loading 0: 28%|██▊ | 102/363 [00:02<00:07, 35.07it/s] Loading 0: 29%|██▉ | 106/363 [00:03<00:07, 34.05it/s] Loading 0: 31%|███ | 112/363 [00:03<00:06, 38.03it/s] Loading 0: 32%|███▏ | 116/363 [00:03<00:06, 35.76it/s] Loading 0: 33%|███▎ | 120/363 [00:03<00:07, 34.14it/s] Loading 0: 34%|███▍ | 125/363 [00:03<00:06, 36.46it/s] Loading 0: 36%|███▌ | 129/363 [00:03<00:06, 34.63it/s] Loading 0: 37%|███▋ | 134/363 [00:03<00:06, 36.71it/s] Loading 0: 38%|███▊ | 138/363 [00:03<00:06, 34.96it/s] Loading 0: 39%|███▉ | 142/363 [00:04<00:08, 25.42it/s] Loading 0: 40%|███▉ | 145/363 [00:04<00:08, 24.86it/s] Loading 0: 41%|████ | 149/363 [00:04<00:08, 25.19it/s] Loading 0: 43%|████▎ | 156/363 [00:04<00:06, 33.23it/s] Loading 0: 44%|████▍ | 160/363 [00:04<00:06, 32.49it/s] Loading 0: 45%|████▌ | 165/363 [00:04<00:05, 35.50it/s] Loading 0: 47%|████▋ | 169/363 [00:05<00:05, 34.00it/s] Loading 0: 48%|████▊ | 174/363 [00:05<00:05, 36.62it/s] Loading 0: 49%|████▉ | 178/363 [00:05<00:05, 32.74it/s] Loading 0: 50%|█████ | 182/363 [00:05<00:05, 34.02it/s] Loading 0: 51%|█████ | 186/363 [00:05<00:05, 31.30it/s] Loading 0: 53%|█████▎ | 192/363 [00:05<00:04, 36.69it/s] Loading 0: 54%|█████▍ | 196/363 [00:05<00:04, 34.66it/s] Loading 0: 55%|█████▌ | 201/363 [00:05<00:04, 36.76it/s] Loading 0: 56%|█████▋ | 205/363 [00:06<00:04, 34.98it/s] Loading 0: 58%|█████▊ | 210/363 [00:06<00:04, 37.68it/s] Loading 0: 59%|█████▉ | 214/363 [00:06<00:04, 35.69it/s] Loading 0: 60%|██████ | 218/363 [00:06<00:04, 35.11it/s] Loading 0: 61%|██████▏ | 223/363 [00:06<00:05, 27.25it/s] Loading 0: 63%|██████▎ | 227/363 [00:06<00:04, 27.79it/s] Loading 0: 64%|██████▎ | 231/363 [00:06<00:04, 27.01it/s] Loading 0: 65%|██████▌ | 237/363 [00:07<00:03, 32.95it/s] Loading 0: 66%|██████▋ | 241/363 [00:07<00:03, 32.47it/s] Loading 0: 68%|██████▊ | 246/363 [00:07<00:03, 35.34it/s] Loading 0: 69%|██████▉ | 250/363 [00:07<00:03, 35.24it/s] Loading 0: 70%|███████ | 255/363 [00:07<00:02, 38.51it/s] Loading 0: 71%|███████▏ | 259/363 [00:07<00:02, 37.40it/s] Loading 0: 72%|███████▏ | 263/363 [00:07<00:02, 37.95it/s] Loading 0: 74%|███████▎ | 267/363 [00:07<00:02, 34.68it/s] Loading 0: 75%|███████▌ | 274/363 [00:08<00:02, 41.65it/s] Loading 0: 77%|███████▋ | 280/363 [00:08<00:02, 40.83it/s] Loading 0: 79%|███████▊ | 285/363 [00:08<00:01, 39.17it/s] Loading 0: 80%|████████ | 291/363 [00:08<00:01, 41.60it/s] Loading 0: 82%|████████▏ | 296/363 [00:08<00:01, 41.83it/s] Loading 0: 83%|████████▎ | 303/363 [00:08<00:01, 43.82it/s] Loading 0: 85%|████████▍ | 308/363 [00:15<00:21, 2.56it/s] Loading 0: 86%|████████▌ | 312/363 [00:15<00:15, 3.27it/s] Loading 0: 88%|████████▊ | 319/363 [00:15<00:08, 5.05it/s] Loading 0: 89%|████████▉ | 324/363 [00:16<00:05, 6.65it/s] Loading 0: 91%|█████████ | 329/363 [00:16<00:03, 8.73it/s] Loading 0: 92%|█████████▏| 334/363 [00:16<00:02, 11.41it/s] Loading 0: 93%|█████████▎| 339/363 [00:16<00:01, 13.61it/s] Loading 0: 95%|█████████▌| 346/363 [00:16<00:00, 19.16it/s] Loading 0: 97%|█████████▋| 351/363 [00:16<00:00, 22.27it/s] Loading 0: 98%|█████████▊| 356/363 [00:16<00:00, 25.61it/s] Loading 0: 99%|█████████▉| 361/363 [00:16<00:00, 29.11it/s]
Job chaiml-snugstable2-5-12-33537-v2-mkmlizer completed after 115.24s with status: succeeded
Stopping job with name chaiml-snugstable2-5-12-33537-v2-mkmlizer
Pipeline stage MKMLizer completed in 115.72s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-snugstable2-5-12-33537-v2
Waiting for inference service chaiml-snugstable2-5-12-33537-v2 to be ready
Failed to get response for submission mistralai-mistral-nem_93303_v257: HTTPConnectionPool(host='mistralai-mistral-nem-93303-v257-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission mistralai-mistral-nem_93303_v257: HTTPConnectionPool(host='mistralai-mistral-nem-93303-v257-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service chaiml-snugstable2-5-12-33537-v2 ready after 351.28738355636597s
Pipeline stage MKMLDeployer completed in 351.84s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.8977196216583252s
Received healthy response to inference request in 1.4419667720794678s
Received healthy response to inference request in 1.403379201889038s
Received healthy response to inference request in 1.415337324142456s
Received healthy response to inference request in 1.503014326095581s
5 requests
0 failed requests
5th percentile: 1.4057708263397217
10th percentile: 1.4081624507904054
20th percentile: 1.4129456996917724
30th percentile: 1.4206632137298585
40th percentile: 1.4313149929046631
50th percentile: 1.4419667720794678
60th percentile: 1.466385793685913
70th percentile: 1.4908048152923583
80th percentile: 1.58195538520813
90th percentile: 1.7398375034332276
95th percentile: 1.8187785625457762
99th percentile: 1.8819314098358153
mean time: 1.5322834491729735
Pipeline stage StressChecker completed in 8.84s
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 0.66s
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 0.68s
Shutdown handler de-registered
chaiml-snugstable2-5-12_33537_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 0.11s
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 chaiml-snugstable2-5-12-33537-v2-profiler
Waiting for inference service chaiml-snugstable2-5-12-33537-v2-profiler to be ready
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 2489.34s
Shutdown handler de-registered
chaiml-snugstable2-5-12_33537_v2 status is now inactive due to auto deactivation removed underperforming models
chaiml-snugstable2-5-12_33537_v2 status is now torndown due to DeploymentManager action