developer_uid: Riverise
submission_id: rica40325-mistral-13b-2452_v6
model_name: rica40325-mistral-13b-2452_v6
model_group: rica40325/mistral-13B-24
status: torndown
timestamp: 2025-05-06T08:30:04+00:00
num_battles: 7347
num_wins: 3482
celo_rating: 1266.83
family_friendly_score: 0.5893999999999999
family_friendly_standard_error: 0.006957120668782452
submission_type: basic
model_repo: rica40325/mistral-13B-2452
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6085268163571809, 'latency_mean': 1.643224527835846, 'latency_p50': 1.6410750150680542, 'latency_p90': 1.8073206901550294}, {'batch_size': 3, 'throughput': 1.1125005411409612, 'latency_mean': 2.6868566596508026, 'latency_p50': 2.6956892013549805, 'latency_p90': 2.93494234085083}, {'batch_size': 5, 'throughput': 1.3455852966277126, 'latency_mean': 3.6990958082675935, 'latency_p50': 3.712713122367859, 'latency_p90': 4.148536205291748}, {'batch_size': 6, 'throughput': 1.4087338554142215, 'latency_mean': 4.223002303838729, 'latency_p50': 4.2271387577056885, 'latency_p90': 4.766218757629394}, {'batch_size': 8, 'throughput': 1.4748896332239954, 'latency_mean': 5.38168137550354, 'latency_p50': 5.423444747924805, 'latency_p90': 6.045378708839416}, {'batch_size': 10, 'throughput': 1.5031889711643218, 'latency_mean': 6.615581738948822, 'latency_p50': 6.643144130706787, 'latency_p90': 7.416268539428711}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: rica40325-mistral-13b-2452_v6
is_internal_developer: False
language_model: rica40325/mistral-13B-2452
model_size: 13B
ranking_group: single
throughput_3p7s: 1.35
us_pacific_date: 2025-05-06
win_ratio: 0.4739349394310603
generation_params: {'temperature': 1.15, 'top_p': 0.95, 'min_p': 0.05, '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
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Running pipeline stage MKMLizer
Starting job with name rica40325-mistral-13b-2452-v6-mkmlizer
Waiting for job on rica40325-mistral-13b-2452-v6-mkmlizer to finish
rica40325-mistral-13b-2452-v6-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rica40325-mistral-13b-2452-v6-mkmlizer: ║     _____            __           __                                ║
rica40325-mistral-13b-2452-v6-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
rica40325-mistral-13b-2452-v6-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
rica40325-mistral-13b-2452-v6-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
rica40325-mistral-13b-2452-v6-mkmlizer: ║       /___/                                                         ║
rica40325-mistral-13b-2452-v6-mkmlizer: ║                                                                     ║
rica40325-mistral-13b-2452-v6-mkmlizer: ║  Version: 0.12.8                                                    ║
rica40325-mistral-13b-2452-v6-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
rica40325-mistral-13b-2452-v6-mkmlizer: ║  https://mk1.ai                                                     ║
rica40325-mistral-13b-2452-v6-mkmlizer: ║                                                                     ║
rica40325-mistral-13b-2452-v6-mkmlizer: ║  The license key for the current software has been verified as      ║
rica40325-mistral-13b-2452-v6-mkmlizer: ║  belonging to:                                                      ║
rica40325-mistral-13b-2452-v6-mkmlizer: ║                                                                     ║
rica40325-mistral-13b-2452-v6-mkmlizer: ║  Chai Research Corp.                                                ║
rica40325-mistral-13b-2452-v6-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
rica40325-mistral-13b-2452-v6-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
rica40325-mistral-13b-2452-v6-mkmlizer: ║                                                                     ║
rica40325-mistral-13b-2452-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rica40325-mistral-13b-2452-v6-mkmlizer: Downloaded to shared memory in 41.362s
rica40325-mistral-13b-2452-v6-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpwljodfuk, device:0
rica40325-mistral-13b-2452-v6-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rica40325-mistral-13b-2452-v6-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.
rica40325-mistral-13b-2452-v6-mkmlizer:   tensors = torch.load(model_shard_filename, map_location=torch.device(self.device), mmap=True)
rica40325-mistral-13b-2452-v6-mkmlizer: quantized model in 35.901s
rica40325-mistral-13b-2452-v6-mkmlizer: Processed model rica40325/mistral-13B-2452 in 77.264s
rica40325-mistral-13b-2452-v6-mkmlizer: creating bucket guanaco-mkml-models
rica40325-mistral-13b-2452-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-mistral-13b-2452-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-mistral-13b-2452-v6
rica40325-mistral-13b-2452-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-mistral-13b-2452-v6/config.json
rica40325-mistral-13b-2452-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-mistral-13b-2452-v6/special_tokens_map.json
rica40325-mistral-13b-2452-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-mistral-13b-2452-v6/tokenizer_config.json
rica40325-mistral-13b-2452-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-mistral-13b-2452-v6/tokenizer.json
rica40325-mistral-13b-2452-v6-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-mistral-13b-2452-v6/flywheel_model.0.safetensors
Job rica40325-mistral-13b-2452-v6-mkmlizer completed after 104.21s with status: succeeded
Stopping job with name rica40325-mistral-13b-2452-v6-mkmlizer
Pipeline stage MKMLizer completed in 104.86s
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Creating inference service rica40325-mistral-13b-2452-v6
Waiting for inference service rica40325-mistral-13b-2452-v6 to be ready
Inference service rica40325-mistral-13b-2452-v6 ready after 150.4913947582245s
Pipeline stage MKMLDeployer completed in 151.09s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.1694564819335938s
Received healthy response to inference request in 1.787834644317627s
Received healthy response to inference request in 1.774702787399292s
Received healthy response to inference request in 1.8504579067230225s
Received healthy response to inference request in 1.6694228649139404s
5 requests
0 failed requests
5th percentile: 1.6904788494110108
10th percentile: 1.7115348339080811
20th percentile: 1.7536468029022216
30th percentile: 1.777329158782959
40th percentile: 1.782581901550293
50th percentile: 1.787834644317627
60th percentile: 1.8128839492797852
70th percentile: 1.8379332542419433
80th percentile: 1.9142576217651368
90th percentile: 2.041857051849365
95th percentile: 2.1056567668914794
99th percentile: 2.156696538925171
mean time: 1.8503749370574951
Pipeline stage StressChecker completed in 10.65s
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.74s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.73s
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rica40325-mistral-13b-2452_v6 status is now deployed due to DeploymentManager action
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Evaluating %s Family Friendly Score with %s threads
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Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 4461.36s
Shutdown handler de-registered
rica40325-mistral-13b-2452_v6 status is now inactive due to auto deactivation removed underperforming models
rica40325-mistral-13b-2452_v6 status is now torndown due to DeploymentManager action