developer_uid: Jellywibble
submission_id: chaiml-small-anthropic-_1700_v10
model_name: chaiml-small-anthropic-_1700_v10
model_group: ChaiML/small_anthropic_a
status: inactive
timestamp: 2024-11-30T18:03:32+00:00
num_battles: 10519
num_wins: 5057
celo_rating: 1250.57
family_friendly_score: 0.5920000000000001
family_friendly_standard_error: 0.006950338121271511
submission_type: basic
model_repo: ChaiML/small_anthropic_addict_lexical_1120
model_architecture: MistralForCausalLM
model_num_parameters: 22247282688.0
best_of: 4
max_input_tokens: 768
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.41424233189551374, 'latency_mean': 2.4139687049388887, 'latency_p50': 2.39808189868927, 'latency_p90': 2.7031946420669555}, {'batch_size': 3, 'throughput': 0.9069134837838584, 'latency_mean': 3.29846798658371, 'latency_p50': 3.292926073074341, 'latency_p90': 3.619969964027405}, {'batch_size': 5, 'throughput': 1.2478247244760088, 'latency_mean': 3.988395438194275, 'latency_p50': 3.965993046760559, 'latency_p90': 4.481278109550476}, {'batch_size': 6, 'throughput': 1.350705424420308, 'latency_mean': 4.404837079048157, 'latency_p50': 4.418362736701965, 'latency_p90': 4.888341641426086}, {'batch_size': 8, 'throughput': 1.5366104293723901, 'latency_mean': 5.168925057649613, 'latency_p50': 5.148224472999573, 'latency_p90': 5.820122480392456}, {'batch_size': 10, 'throughput': 1.6473675999711554, 'latency_mean': 5.998671355247498, 'latency_p50': 5.940702676773071, 'latency_p90': 6.748505926132202}]
gpu_counts: {'NVIDIA RTX A6000': 1}
display_name: chaiml-small-anthropic-_1700_v10
is_internal_developer: True
language_model: ChaiML/small_anthropic_addict_lexical_1120
model_size: 22B
ranking_group: single
throughput_3p7s: 1.13
us_pacific_date: 2024-11-30
win_ratio: 0.480749120638844
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', '<|eot_id|>', '<|end_of_text|>', 'You:'], 'max_input_tokens': 768, 'best_of': 4, 'max_output_tokens': 64}
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '### Response:\n{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 chaiml-small-anthropic-1700-v10-mkmlizer
Waiting for job on chaiml-small-anthropic-1700-v10-mkmlizer to finish
chaiml-small-anthropic-1700-v10-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-small-anthropic-1700-v10-mkmlizer: ║ _____ __ __ ║
chaiml-small-anthropic-1700-v10-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
chaiml-small-anthropic-1700-v10-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
chaiml-small-anthropic-1700-v10-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
chaiml-small-anthropic-1700-v10-mkmlizer: ║ /___/ ║
chaiml-small-anthropic-1700-v10-mkmlizer: ║ ║
chaiml-small-anthropic-1700-v10-mkmlizer: ║ Version: 0.11.12 ║
chaiml-small-anthropic-1700-v10-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-small-anthropic-1700-v10-mkmlizer: ║ https://mk1.ai ║
chaiml-small-anthropic-1700-v10-mkmlizer: ║ ║
chaiml-small-anthropic-1700-v10-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-small-anthropic-1700-v10-mkmlizer: ║ belonging to: ║
chaiml-small-anthropic-1700-v10-mkmlizer: ║ ║
chaiml-small-anthropic-1700-v10-mkmlizer: ║ Chai Research Corp. ║
chaiml-small-anthropic-1700-v10-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-small-anthropic-1700-v10-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
chaiml-small-anthropic-1700-v10-mkmlizer: ║ ║
chaiml-small-anthropic-1700-v10-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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
chaiml-small-anthropic-1700-v10-mkmlizer: Downloaded to shared memory in 70.767s
chaiml-small-anthropic-1700-v10-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpztakkqq1, device:0
chaiml-small-anthropic-1700-v10-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
chaiml-small-anthropic-1700-v10-mkmlizer: quantized model in 44.253s
chaiml-small-anthropic-1700-v10-mkmlizer: Processed model ChaiML/small_anthropic_addict_lexical_1120 in 115.020s
chaiml-small-anthropic-1700-v10-mkmlizer: creating bucket guanaco-mkml-models
chaiml-small-anthropic-1700-v10-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-small-anthropic-1700-v10-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-small-anthropic-1700-v10
chaiml-small-anthropic-1700-v10-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-small-anthropic-1700-v10/config.json
chaiml-small-anthropic-1700-v10-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-small-anthropic-1700-v10/special_tokens_map.json
chaiml-small-anthropic-1700-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-small-anthropic-1700-v10/tokenizer_config.json
chaiml-small-anthropic-1700-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-small-anthropic-1700-v10/tokenizer.json
chaiml-small-anthropic-1700-v10-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-small-anthropic-1700-v10/flywheel_model.1.safetensors
chaiml-small-anthropic-1700-v10-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-small-anthropic-1700-v10/flywheel_model.0.safetensors
chaiml-small-anthropic-1700-v10-mkmlizer: Loading 0: 0%| | 0/507 [00:00<?, ?it/s] Loading 0: 1%| | 5/507 [00:00<00:21, 23.50it/s] Loading 0: 2%|▏ | 12/507 [00:00<00:12, 40.26it/s] Loading 0: 3%|▎ | 17/507 [00:00<00:12, 38.08it/s] Loading 0: 4%|▍ | 22/507 [00:00<00:12, 38.82it/s] Loading 0: 5%|▌ | 27/507 [00:00<00:11, 40.50it/s] Loading 0: 6%|▋ | 32/507 [00:00<00:13, 34.59it/s] Loading 0: 8%|▊ | 39/507 [00:01<00:11, 40.87it/s] Loading 0: 9%|▊ | 44/507 [00:01<00:11, 41.01it/s] Loading 0: 10%|▉ | 49/507 [00:01<00:12, 35.31it/s] Loading 0: 10%|█ | 53/507 [00:01<00:16, 27.70it/s] Loading 0: 11%|█ | 57/507 [00:01<00:16, 27.27it/s] Loading 0: 12%|█▏ | 63/507 [00:01<00:13, 32.71it/s] Loading 0: 13%|█▎ | 67/507 [00:01<00:13, 33.11it/s] Loading 0: 14%|█▍ | 72/507 [00:02<00:11, 36.65it/s] Loading 0: 15%|█▌ | 78/507 [00:02<00:10, 41.52it/s] Loading 0: 16%|█▋ | 83/507 [00:02<00:10, 40.79it/s] Loading 0: 17%|█▋ | 88/507 [00:02<00:10, 40.55it/s] Loading 0: 18%|█▊ | 93/507 [00:02<00:09, 42.17it/s] Loading 0: 19%|█▉ | 98/507 [00:02<00:11, 34.10it/s] Loading 0: 21%|██ | 105/507 [00:02<00:10, 39.32it/s] Loading 0: 22%|██▏ | 110/507 [00:03<00:10, 37.47it/s] Loading 0: 22%|██▏ | 114/507 [00:03<00:14, 27.84it/s] Loading 0: 23%|██▎ | 118/507 [00:03<00:13, 27.93it/s] Loading 0: 24%|██▍ | 122/507 [00:03<00:13, 27.85it/s] Loading 0: 25%|██▌ | 129/507 [00:03<00:10, 35.32it/s] Loading 0: 26%|██▌ | 133/507 [00:03<00:10, 34.88it/s] Loading 0: 27%|██▋ | 137/507 [00:03<00:10, 35.97it/s] Loading 0: 28%|██▊ | 141/507 [00:04<00:11, 32.26it/s] Loading 0: 29%|██▉ | 147/507 [00:04<00:09, 37.14it/s] Loading 0: 30%|██▉ | 151/507 [00:04<00:09, 36.09it/s] Loading 0: 31%|███ | 156/507 [00:04<00:09, 38.37it/s] Loading 0: 32%|███▏ | 160/507 [00:04<00:09, 35.89it/s] Loading 0: 32%|███▏ | 164/507 [00:04<00:09, 36.03it/s] Loading 0: 33%|███▎ | 169/507 [00:04<00:12, 27.75it/s] Loading 0: 34%|███▍ | 173/507 [00:05<00:11, 28.41it/s] Loading 0: 35%|███▍ | 177/507 [00:05<00:11, 28.51it/s] Loading 0: 36%|███▌ | 183/507 [00:05<00:09, 34.71it/s] Loading 0: 37%|███▋ | 187/507 [00:05<00:09, 34.52it/s] Loading 0: 38%|███▊ | 192/507 [00:05<00:08, 36.60it/s] Loading 0: 39%|███▊ | 196/507 [00:05<00:08, 34.59it/s] Loading 0: 40%|███▉ | 201/507 [00:05<00:08, 36.87it/s] Loading 0: 40%|████ | 205/507 [00:05<00:08, 35.64it/s] Loading 0: 41%|████▏ | 210/507 [00:06<00:07, 38.75it/s] Loading 0: 42%|████▏ | 214/507 [00:06<00:07, 37.90it/s] Loading 0: 43%|████▎ | 218/507 [00:06<00:07, 38.36it/s] Loading 0: 44%|████▍ | 222/507 [00:06<00:07, 37.61it/s] Loading 0: 45%|████▍ | 226/507 [00:06<00:10, 27.43it/s] Loading 0: 45%|████▌ | 230/507 [00:06<00:10, 27.02it/s] Loading 0: 47%|████▋ | 237/507 [00:06<00:07, 35.12it/s] Loading 0: 48%|████▊ | 241/507 [00:06<00:07, 35.13it/s] Loading 0: 49%|████▊ | 246/507 [00:07<00:06, 37.70it/s] Loading 0: 49%|████▉ | 250/507 [00:07<00:06, 37.10it/s] Loading 0: 50%|█████ | 255/507 [00:07<00:06, 39.35it/s] Loading 0: 51%|█████▏ | 260/507 [00:07<00:06, 38.87it/s] Loading 0: 52%|█████▏ | 265/507 [00:07<00:06, 39.00it/s] Loading 0: 53%|█████▎ | 269/507 [00:07<00:06, 36.06it/s] Loading 0: 54%|█████▍ | 273/507 [00:07<00:06, 35.82it/s] Loading 0: 55%|█████▍ | 277/507 [00:07<00:06, 34.92it/s] Loading 0: 56%|█████▌ | 283/507 [00:08<00:06, 36.98it/s] Loading 0: 57%|█████▋ | 287/507 [00:08<00:09, 23.14it/s] Loading 0: 58%|█████▊ | 293/507 [00:08<00:08, 26.00it/s] Loading 0: 59%|█████▉ | 299/507 [00:23<00:08, 26.00it/s] Loading 0: 59%|█████▉ | 300/507 [00:23<02:50, 1.22it/s] Loading 0: 60%|█████▉ | 302/507 [00:23<02:27, 1.39it/s] Loading 0: 61%|██████ | 307/507 [00:23<01:39, 2.01it/s] Loading 0: 61%|██████ | 310/507 [00:23<01:19, 2.48it/s] Loading 0: 62%|██████▏ | 313/507 [00:24<01:01, 3.17it/s] Loading 0: 63%|██████▎ | 318/507 [00:24<00:39, 4.73it/s] Loading 0: 64%|██████▎ | 322/507 [00:24<00:29, 6.33it/s] Loading 0: 64%|██████▍ | 327/507 [00:24<00:19, 9.02it/s] Loading 0: 65%|██████▌ | 331/507 [00:24<00:15, 11.23it/s] Loading 0: 66%|██████▌ | 335/507 [00:24<00:12, 13.94it/s] Loading 0: 67%|██████▋ | 340/507 [00:24<00:10, 15.90it/s] Loading 0: 68%|██████▊ | 344/507 [00:24<00:08, 18.38it/s] Loading 0: 69%|██████▊ | 348/507 [00:25<00:07, 20.21it/s] Loading 0: 70%|██████▉ | 354/507 [00:25<00:05, 26.60it/s] Loading 0: 71%|███████ | 358/507 [00:25<00:05, 28.46it/s] Loading 0: 72%|███████▏ | 364/507 [00:25<00:04, 33.28it/s] Loading 0: 73%|███████▎ | 369/507 [00:25<00:03, 36.43it/s] Loading 0: 74%|███████▍ | 374/507 [00:25<00:04, 32.84it/s] Loading 0: 75%|███████▌ | 381/507 [00:25<00:03, 40.57it/s] Loading 0: 76%|███████▌ | 386/507 [00:26<00:03, 39.60it/s] Loading 0: 77%|███████▋ | 391/507 [00:26<00:03, 35.92it/s] Loading 0: 78%|███████▊ | 395/507 [00:26<00:03, 28.48it/s] Loading 0: 79%|███████▉ | 401/507 [00:26<00:03, 29.67it/s] Loading 0: 80%|████████ | 408/507 [00:26<00:02, 35.63it/s] Loading 0: 81%|████████▏ | 412/507 [00:26<00:02, 35.22it/s] Loading 0: 82%|████████▏ | 417/507 [00:26<00:02, 37.17it/s] Loading 0: 83%|████████▎ | 421/507 [00:27<00:02, 36.69it/s] Loading 0: 84%|████████▍ | 426/507 [00:27<00:02, 39.78it/s] Loading 0: 85%|████████▌ | 431/507 [00:27<00:01, 39.29it/s] Loading 0: 86%|████████▌ | 436/507 [00:27<00:01, 40.00it/s] Loading 0: 87%|████████▋ | 441/507 [00:27<00:01, 42.49it/s] Loading 0: 88%|████████▊ | 446/507 [00:27<00:01, 36.62it/s] Loading 0: 90%|████████▉ | 454/507 [00:27<00:01, 43.16it/s] Loading 0: 91%|█████████ | 459/507 [00:30<00:06, 7.03it/s] Loading 0: 92%|█████████▏| 465/507 [00:30<00:04, 9.47it/s] Loading 0: 93%|█████████▎| 472/507 [00:30<00:02, 13.32it/s] Loading 0: 94%|█████████▍| 477/507 [00:30<00:01, 16.09it/s] Loading 0: 95%|█████████▌| 482/507 [00:30<00:01, 19.31it/s] Loading 0: 96%|█████████▌| 487/507 [00:30<00:00, 23.11it/s] Loading 0: 97%|█████████▋| 492/507 [00:31<00:00, 23.44it/s] Loading 0: 98%|█████████▊| 499/507 [00:31<00:00, 29.90it/s] Loading 0: 99%|█████████▉| 504/507 [00:31<00:00, 31.94it/s]
Job chaiml-small-anthropic-1700-v10-mkmlizer completed after 145.15s with status: succeeded
Stopping job with name chaiml-small-anthropic-1700-v10-mkmlizer
Pipeline stage MKMLizer completed in 145.77s
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 chaiml-small-anthropic-1700-v10
Waiting for inference service chaiml-small-anthropic-1700-v10 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
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service chaiml-small-anthropic-1700-v10 ready after 140.7522156238556s
Pipeline stage MKMLDeployer completed in 141.26s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.089284896850586s
Received healthy response to inference request in 2.3806939125061035s
Received healthy response to inference request in 2.6496057510375977s
Received healthy response to inference request in 2.451914072036743s
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
Received healthy response to inference request in 2.5086934566497803s
5 requests
0 failed requests
5th percentile: 2.3949379444122316
10th percentile: 2.4091819763183593
20th percentile: 2.437670040130615
30th percentile: 2.4632699489593506
40th percentile: 2.4859817028045654
50th percentile: 2.5086934566497803
60th percentile: 2.565058374404907
70th percentile: 2.621423292160034
80th percentile: 2.7375415802001952
90th percentile: 2.913413238525391
95th percentile: 3.0013490676879884
99th percentile: 3.0716977310180664
mean time: 2.616038417816162
Pipeline stage StressChecker completed in 14.28s
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 2.19s
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 2.00s
Shutdown handler de-registered
chaiml-small-anthropic-_1700_v10 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 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-small-anthropic-1700-v10-profiler
Waiting for inference service chaiml-small-anthropic-1700-v10-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 3444.51s
Shutdown handler de-registered
chaiml-small-anthropic-_1700_v10 status is now inactive due to auto deactivation removed underperforming models