chaiml-mistralnemo-sfte_88022

developer_uid: NischayDnk
submission_id: chaiml-mistralnemo-sfte_88022_v1
model_name: chaiml-mistralnemo-sfte_88022_v1
model_group: ChaiML/mistralnemo-sftex
status: torndown
timestamp: 2025-07-24T02:34:01+00:00
num_battles: 5771
num_wins: 2916
celo_rating: 1290.63
family_friendly_score: 0.514
family_friendly_standard_error: 0.00706829540978587
submission_type: basic
model_repo: ChaiML/mistralnemo-sftexp1-existqwen235b-1hr-500convo-try1-chain
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1536
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5885245295167224, 'latency_mean': 1.6989835345745086, 'latency_p50': 1.6971536874771118, 'latency_p90': 1.8492865324020387}, {'batch_size': 3, 'throughput': 0.9400885951351106, 'latency_mean': 3.184747052192688, 'latency_p50': 3.1844968795776367, 'latency_p90': 3.4720577955245973}, {'batch_size': 5, 'throughput': 1.0631809580185632, 'latency_mean': 4.677367240190506, 'latency_p50': 4.677726626396179, 'latency_p90': 5.20327320098877}, {'batch_size': 6, 'throughput': 1.080805627876292, 'latency_mean': 5.526559394598007, 'latency_p50': 5.532626390457153, 'latency_p90': 6.296127033233643}, {'batch_size': 10, 'throughput': 1.1457172167435037, 'latency_mean': 8.648720138072967, 'latency_p50': 8.642114520072937, 'latency_p90': 9.889200735092164}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: chaiml-mistralnemo-sfte_88022_v1
is_internal_developer: False
language_model: ChaiML/mistralnemo-sftexp1-existqwen235b-1hr-500convo-try1-chain
model_size: 13B
ranking_group: single
throughput_3p7s: 1.0
us_pacific_date: 2025-07-23
win_ratio: 0.5052850459192514
generation_params: {'temperature': 1.0, 'top_p': 0.96, 'min_p': 0.02, 'top_k': 40, 'presence_penalty': 0.1, 'frequency_penalty': 0.1, 'stopping_words': ['<|im_start|>', '<|im_end|>', '\n'], 'max_input_tokens': 1536, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '<|system|>{bot_name}memory:{memory}\n', 'prompt_template': '', 'bot_template': '<|im_start|>assistant\n{message}<|im_end|>\n', 'user_template': '<|im_start|>user\nYou:{message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n', '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-mistralnemo-sfte-88022-v1-mkmlizer
Waiting for job on chaiml-mistralnemo-sfte-88022-v1-mkmlizer to finish
chaiml-mistralnemo-sfte-88022-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistralnemo-sfte-88022-v1-mkmlizer: ║                                                                     ║
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chaiml-mistralnemo-sfte-88022-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-mistralnemo-sfte-88022-v1-mkmlizer: ║                                                                     ║
chaiml-mistralnemo-sfte-88022-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
chaiml-mistralnemo-sfte-88022-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-mistralnemo-sfte-88022-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-mistralnemo-sfte-88022-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-mistralnemo-sfte-88022-v1-mkmlizer: ║                                                                     ║
chaiml-mistralnemo-sfte-88022-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-mistralnemo-sfte-88022-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-mistralnemo-sfte-88022-v1-mkmlizer: ║                                                                     ║
chaiml-mistralnemo-sfte-88022-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-mistralnemo-sfte-88022-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-mistralnemo-sfte-88022-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-mistralnemo-sfte-88022-v1-mkmlizer: ║                                                                     ║
chaiml-mistralnemo-sfte-88022-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistralnemo-sfte-88022-v1-mkmlizer: Downloaded to shared memory in 41.759s
chaiml-mistralnemo-sfte-88022-v1-mkmlizer: Checking if ChaiML/mistralnemo-sftexp1-existqwen235b-1hr-500convo-try1-chain already exists in ChaiML
chaiml-mistralnemo-sfte-88022-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpbodyv9ai, device:0
chaiml-mistralnemo-sfte-88022-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistralnemo-sfte-88022-v1-mkmlizer: quantized model in 168.502s
chaiml-mistralnemo-sfte-88022-v1-mkmlizer: Processed model ChaiML/mistralnemo-sftexp1-existqwen235b-1hr-500convo-try1-chain in 210.262s
chaiml-mistralnemo-sfte-88022-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistralnemo-sfte-88022-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistralnemo-sfte-88022-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistralnemo-sfte-88022-v1/nvidia
chaiml-mistralnemo-sfte-88022-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistralnemo-sfte-88022-v1/nvidia/config.json
chaiml-mistralnemo-sfte-88022-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistralnemo-sfte-88022-v1/nvidia/special_tokens_map.json
chaiml-mistralnemo-sfte-88022-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistralnemo-sfte-88022-v1/nvidia/tokenizer_config.json
chaiml-mistralnemo-sfte-88022-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistralnemo-sfte-88022-v1/nvidia/tokenizer.json
chaiml-mistralnemo-sfte-88022-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistralnemo-sfte-88022-v1/nvidia/flywheel_model.0.safetensors
chaiml-mistralnemo-sfte-88022-v1-mkmlizer: 
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Job chaiml-mistralnemo-sfte-88022-v1-mkmlizer completed after 232.46s with status: succeeded
Stopping job with name chaiml-mistralnemo-sfte-88022-v1-mkmlizer
Pipeline stage MKMLizer completed in 233.07s
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-mistralnemo-sfte-88022-v1
Waiting for inference service chaiml-mistralnemo-sfte-88022-v1 to be ready
Inference service chaiml-mistralnemo-sfte-88022-v1 ready after 171.51298117637634s
Pipeline stage MKMLDeployer completed in 172.42s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0298335552215576s
Received healthy response to inference request in 2.532069683074951s
Received healthy response to inference request in 1.6202754974365234s
Received healthy response to inference request in 1.596266269683838s
Received healthy response to inference request in 1.8494751453399658s
5 requests
0 failed requests
5th percentile: 1.601068115234375
10th percentile: 1.605869960784912
20th percentile: 1.6154736518859862
30th percentile: 1.6661154270172118
40th percentile: 1.7577952861785888
50th percentile: 1.8494751453399658
60th percentile: 1.9216185092926026
70th percentile: 1.9937618732452391
80th percentile: 2.1302807807922366
90th percentile: 2.3311752319335937
95th percentile: 2.431622457504272
99th percentile: 2.5119802379608154
mean time: 1.9255840301513671
Pipeline stage StressChecker completed in 11.51s
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 1.41s
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 0.81s
Shutdown handler de-registered
chaiml-mistralnemo-sfte_88022_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 0.14s
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-mistralnemo-sfte-88022-v1-profiler
Waiting for inference service chaiml-mistralnemo-sfte-88022-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
Pipeline stage OfflineFamilyFriendlyScorer completed in 5369.37s
Shutdown handler de-registered
chaiml-mistralnemo-sfte_88022_v1 status is now inactive due to auto deactivation removed underperforming models
chaiml-mistralnemo-sfte_88022_v1 status is now torndown due to DeploymentManager action