riverise-3k-1e-4-sft-cap

developer_uid: Riverise
submission_id: riverise-3k-1e-4-sft-cap_v1
model_name: riverise-3k-1e-4-sft-cap_v1
model_group: Riverise/3k_1e-4_sft_Cap
status: torndown
timestamp: 2025-06-03T12:28:23+00:00
num_battles: 11442
num_wins: 5594
celo_rating: 1265.97
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
submission_type: basic
model_repo: Riverise/3k_1e-4_sft_Cap
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
display_name: riverise-3k-1e-4-sft-cap_v1
is_internal_developer: False
language_model: Riverise/3k_1e-4_sft_Cap
model_size: 13B
ranking_group: single
us_pacific_date: 2025-06-03
win_ratio: 0.4889005418633106
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 riverise-3k-1e-4-sft-cap-v1-mkmlizer
Waiting for job on riverise-3k-1e-4-sft-cap-v1-mkmlizer to finish
riverise-3k-1e-4-sft-cap-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
riverise-3k-1e-4-sft-cap-v1-mkmlizer: ║                                                                     ║
riverise-3k-1e-4-sft-cap-v1-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
riverise-3k-1e-4-sft-cap-v1-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
riverise-3k-1e-4-sft-cap-v1-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
riverise-3k-1e-4-sft-cap-v1-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
riverise-3k-1e-4-sft-cap-v1-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
riverise-3k-1e-4-sft-cap-v1-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
riverise-3k-1e-4-sft-cap-v1-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
riverise-3k-1e-4-sft-cap-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
riverise-3k-1e-4-sft-cap-v1-mkmlizer: ║                                                                     ║
riverise-3k-1e-4-sft-cap-v1-mkmlizer: ║  Version: 0.27.1+vampire_v3                                         ║
riverise-3k-1e-4-sft-cap-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
riverise-3k-1e-4-sft-cap-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
riverise-3k-1e-4-sft-cap-v1-mkmlizer: ║  https://mk1.ai                                                     ║
riverise-3k-1e-4-sft-cap-v1-mkmlizer: ║                                                                     ║
riverise-3k-1e-4-sft-cap-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
riverise-3k-1e-4-sft-cap-v1-mkmlizer: ║  belonging to:                                                      ║
riverise-3k-1e-4-sft-cap-v1-mkmlizer: ║                                                                     ║
riverise-3k-1e-4-sft-cap-v1-mkmlizer: ║  Chai Research Corp.                                                ║
riverise-3k-1e-4-sft-cap-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
riverise-3k-1e-4-sft-cap-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
riverise-3k-1e-4-sft-cap-v1-mkmlizer: ║                                                                     ║
riverise-3k-1e-4-sft-cap-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
riverise-3k-1e-4-sft-cap-v1-mkmlizer: Downloaded to shared memory in 42.888s
riverise-3k-1e-4-sft-cap-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmprnl6jr45, device:0
riverise-3k-1e-4-sft-cap-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission rica40325-filter50kv5_v2: HTTPConnectionPool(host='rica40325-filter50kv5-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
riverise-3k-1e-4-sft-cap-v1-mkmlizer: quantized model in 30.784s
riverise-3k-1e-4-sft-cap-v1-mkmlizer: Processed model Riverise/3k_1e-4_sft_Cap in 73.673s
riverise-3k-1e-4-sft-cap-v1-mkmlizer: creating bucket guanaco-mkml-models
riverise-3k-1e-4-sft-cap-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
riverise-3k-1e-4-sft-cap-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/riverise-3k-1e-4-sft-cap-v1
riverise-3k-1e-4-sft-cap-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/riverise-3k-1e-4-sft-cap-v1/special_tokens_map.json
riverise-3k-1e-4-sft-cap-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/riverise-3k-1e-4-sft-cap-v1/config.json
riverise-3k-1e-4-sft-cap-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/riverise-3k-1e-4-sft-cap-v1/tokenizer_config.json
riverise-3k-1e-4-sft-cap-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/riverise-3k-1e-4-sft-cap-v1/tokenizer.json
Failed to get response for submission rica40325-filter50kv5_v2: HTTPConnectionPool(host='rica40325-filter50kv5-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
riverise-3k-1e-4-sft-cap-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/riverise-3k-1e-4-sft-cap-v1/flywheel_model.0.safetensors
riverise-3k-1e-4-sft-cap-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:11, 30.96it/s]
Loading 0:   3%|▎         | 12/363 [00:00<00:07, 45.59it/s]
Loading 0:   5%|▍         | 17/363 [00:00<00:07, 43.62it/s]
Loading 0:   6%|▌         | 22/363 [00:00<00:07, 43.65it/s]
Loading 0:   7%|▋         | 27/363 [00:00<00:07, 45.24it/s]
Loading 0:   9%|▉         | 32/363 [00:00<00:09, 36.67it/s]
Loading 0:  11%|█         | 39/363 [00:00<00:07, 44.66it/s]
Loading 0:  12%|█▏        | 44/363 [00:01<00:07, 44.13it/s]
Loading 0:  13%|█▎        | 49/363 [00:01<00:07, 43.86it/s]
Loading 0:  15%|█▌        | 55/363 [00:01<00:07, 41.35it/s]
Loading 0:  17%|█▋        | 60/363 [00:01<00:07, 42.97it/s]
Loading 0:  18%|█▊        | 65/363 [00:01<00:10, 27.11it/s]
Loading 0:  20%|█▉        | 71/363 [00:01<00:08, 32.86it/s]
Loading 0:  21%|██        | 76/363 [00:01<00:08, 34.87it/s]
Loading 0:  22%|██▏       | 81/363 [00:02<00:07, 36.85it/s]
Loading 0:  24%|██▎       | 86/363 [00:02<00:06, 39.68it/s]
Loading 0:  25%|██▌       | 91/363 [00:02<00:08, 33.73it/s]
Loading 0:  27%|██▋       | 98/363 [00:02<00:06, 40.71it/s]
Loading 0:  28%|██▊       | 103/363 [00:02<00:06, 39.20it/s]
Loading 0:  30%|██▉       | 108/363 [00:02<00:06, 40.93it/s]
Loading 0:  31%|███       | 113/363 [00:02<00:06, 35.72it/s]
Loading 0:  33%|███▎      | 118/363 [00:03<00:06, 36.01it/s]
Loading 0:  34%|███▍      | 125/363 [00:03<00:05, 41.95it/s]
Loading 0:  36%|███▌      | 130/363 [00:03<00:05, 41.44it/s]
Loading 0:  37%|███▋      | 135/363 [00:03<00:05, 41.23it/s]
Loading 0:  39%|███▊      | 140/363 [00:03<00:05, 42.46it/s]
Loading 0:  40%|███▉      | 145/363 [00:03<00:08, 26.28it/s]
Loading 0:  41%|████      | 149/363 [00:04<00:08, 26.56it/s]
Loading 0:  43%|████▎     | 156/363 [00:04<00:06, 33.94it/s]
Loading 0:  44%|████▍     | 161/363 [00:04<00:05, 36.04it/s]
Loading 0:  46%|████▌     | 166/363 [00:04<00:05, 37.14it/s]
Loading 0:  47%|████▋     | 171/363 [00:04<00:04, 39.48it/s]
Loading 0:  48%|████▊     | 176/363 [00:04<00:05, 32.67it/s]
Loading 0:  50%|█████     | 183/363 [00:04<00:04, 38.90it/s]
Loading 0:  52%|█████▏    | 188/363 [00:05<00:04, 39.21it/s]
Loading 0:  53%|█████▎    | 193/363 [00:05<00:04, 39.73it/s]
Loading 0:  55%|█████▍    | 198/363 [00:05<00:03, 42.00it/s]
Loading 0:  56%|█████▌    | 203/363 [00:05<00:04, 33.77it/s]
Loading 0:  58%|█████▊    | 210/363 [00:05<00:03, 40.18it/s]
Loading 0:  59%|█████▉    | 215/363 [00:05<00:03, 40.58it/s]
Loading 0:  61%|██████    | 220/363 [00:05<00:03, 42.26it/s]
Loading 0:  62%|██████▏   | 225/363 [00:06<00:05, 26.63it/s]
Loading 0:  63%|██████▎   | 230/363 [00:06<00:04, 28.99it/s]
Loading 0:  65%|██████▌   | 237/363 [00:06<00:03, 35.70it/s]
Loading 0:  67%|██████▋   | 242/363 [00:06<00:03, 36.39it/s]
Loading 0:  68%|██████▊   | 247/363 [00:06<00:03, 37.56it/s]
Loading 0:  69%|██████▉   | 252/363 [00:06<00:02, 40.22it/s]
Loading 0:  71%|███████   | 257/363 [00:06<00:03, 34.34it/s]
Loading 0:  73%|███████▎  | 264/363 [00:07<00:02, 40.68it/s]
Loading 0:  74%|███████▍  | 269/363 [00:07<00:02, 41.25it/s]
Loading 0:  75%|███████▌  | 274/363 [00:07<00:02, 41.78it/s]
Loading 0:  77%|███████▋  | 279/363 [00:07<00:01, 43.29it/s]
Loading 0:  78%|███████▊  | 284/363 [00:07<00:02, 35.76it/s]
Loading 0:  80%|████████  | 291/363 [00:07<00:01, 42.96it/s]
Loading 0:  82%|████████▏ | 296/363 [00:07<00:01, 42.71it/s]
Loading 0:  83%|████████▎ | 301/363 [00:07<00:01, 42.30it/s]
Loading 0:  84%|████████▍ | 306/363 [00:08<00:02, 22.87it/s]
Loading 0:  85%|████████▌ | 310/363 [00:08<00:02, 24.30it/s]
Loading 0:  87%|████████▋ | 314/363 [00:08<00:01, 26.79it/s]
Loading 0:  88%|████████▊ | 320/363 [00:08<00:01, 32.75it/s]
Loading 0:  90%|████████▉ | 326/363 [00:08<00:01, 34.02it/s]
Loading 0:  91%|█████████ | 330/363 [00:09<00:00, 33.24it/s]
Loading 0:  93%|█████████▎| 337/363 [00:09<00:00, 41.22it/s]
Loading 0:  94%|█████████▍| 342/363 [00:09<00:00, 41.95it/s]
Loading 0:  96%|█████████▌| 347/363 [00:09<00:00, 42.30it/s]
Loading 0:  97%|█████████▋| 352/363 [00:09<00:00, 43.43it/s]
Loading 0:  98%|█████████▊| 357/363 [00:09<00:00, 36.42it/s]
                                                            
Job riverise-3k-1e-4-sft-cap-v1-mkmlizer completed after 94.73s with status: succeeded
Stopping job with name riverise-3k-1e-4-sft-cap-v1-mkmlizer
Pipeline stage MKMLizer completed in 95.27s
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 riverise-3k-1e-4-sft-cap-v1
Waiting for inference service riverise-3k-1e-4-sft-cap-v1 to be ready
Failed to get response for submission rica40325-filter50kv5_v2: HTTPConnectionPool(host='rica40325-filter50kv5-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission rica40325-filter50kv5_v2: HTTPConnectionPool(host='rica40325-filter50kv5-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service riverise-3k-1e-4-sft-cap-v1 ready after 130.59744882583618s
Pipeline stage MKMLDeployer completed in 131.21s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3377106189727783s
Received healthy response to inference request in 1.763251543045044s
Received healthy response to inference request in 1.4678773880004883s
Received healthy response to inference request in 1.4660181999206543s
Received healthy response to inference request in 1.6650118827819824s
5 requests
0 failed requests
5th percentile: 1.466390037536621
10th percentile: 1.466761875152588
20th percentile: 1.4675055503845216
30th percentile: 1.5073042869567872
40th percentile: 1.5861580848693848
50th percentile: 1.6650118827819824
60th percentile: 1.704307746887207
70th percentile: 1.7436036109924316
80th percentile: 1.8781433582305909
90th percentile: 2.1079269886016845
95th percentile: 2.222818803787231
99th percentile: 2.314732255935669
mean time: 1.7399739265441894
Pipeline stage StressChecker completed in 10.28s
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 0.78s
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 0.72s
Shutdown handler de-registered
riverise-3k-1e-4-sft-cap_v1 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 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service riverise-3k-1e-4-sft-cap-v1-profiler
Waiting for inference service riverise-3k-1e-4-sft-cap-v1-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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
riverise-3k-1e-4-sft-cap_v1 status is now inactive due to auto deactivation removed underperforming models
riverise-3k-1e-4-sft-cap_v1 status is now torndown due to DeploymentManager action