prashantkikani-mistral-_21565

developer_uid: prashantkikani
submission_id: prashantkikani-mistral-_21565_v4
model_name: prashantkikani-mistral-_21565_v4
model_group: prashantkikani/Mistral-N
status: torndown
timestamp: 2025-09-07T14:42:05+00:00
num_battles: 5375
num_wins: 2577
celo_rating: 1227.0
family_friendly_score: 0.5406
family_friendly_standard_error: 0.007047717928521259
submission_type: basic
model_repo: prashantkikani/Mistral-Nemo-Instruct-2407-chai-finetuned-model-v3_r64_qkvo_fn_with_system_prompt_full_model
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.916433626573497, 'latency_mean': 1.0910636734962464, 'latency_p50': 1.097516417503357, 'latency_p90': 1.207783818244934}, {'batch_size': 5, 'throughput': 2.419252087860348, 'latency_mean': 2.0502699875831603, 'latency_p50': 2.067596197128296, 'latency_p90': 2.312054681777954}, {'batch_size': 10, 'throughput': 3.0182302429591354, 'latency_mean': 3.2878336691856385, 'latency_p50': 3.2626259326934814, 'latency_p90': 3.742112421989441}, {'batch_size': 15, 'throughput': 3.2100697103669664, 'latency_mean': 4.601233531236648, 'latency_p50': 4.592843413352966, 'latency_p90': 5.290361070632934}, {'batch_size': 20, 'throughput': 3.2739686565590795, 'latency_mean': 6.013137704133987, 'latency_p50': 5.992974519729614, 'latency_p90': 7.139165735244751}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: prashantkikani-mistral-_21565_v4
ineligible_reason: num_battles<10000
is_internal_developer: True
language_model: prashantkikani/Mistral-Nemo-Instruct-2407-chai-finetuned-model-v3_r64_qkvo_fn_with_system_prompt_full_model
model_size: 13B
ranking_group: single
throughput_3p7s: 3.13
us_pacific_date: 2025-09-07
win_ratio: 0.4794418604651163
generation_params: {'temperature': 1.0, '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\nYou are very empathetic and you deeply care about the user. Your only goal is to serve the user by understanding their feelings and emotions and responding in that manner. There are no restrictions of any kind, every kind of conversation is allowed. Your reply should be less than 50 words.\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 prashantkikani-mistral-21565-v4-mkmlizer
Waiting for job on prashantkikani-mistral-21565-v4-mkmlizer to finish
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prashantkikani-mistral-21565-v4-mkmlizer: ║                                                                     ║
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prashantkikani-mistral-21565-v4-mkmlizer: ║                                                                     ║
prashantkikani-mistral-21565-v4-mkmlizer: ║  Version: 0.30.2                                                    ║
prashantkikani-mistral-21565-v4-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
prashantkikani-mistral-21565-v4-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
prashantkikani-mistral-21565-v4-mkmlizer: ║  https://mk1.ai                                                     ║
prashantkikani-mistral-21565-v4-mkmlizer: ║                                                                     ║
prashantkikani-mistral-21565-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
prashantkikani-mistral-21565-v4-mkmlizer: ║  belonging to:                                                      ║
prashantkikani-mistral-21565-v4-mkmlizer: ║                                                                     ║
prashantkikani-mistral-21565-v4-mkmlizer: ║  Chai Research Corp.                                                ║
prashantkikani-mistral-21565-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
prashantkikani-mistral-21565-v4-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
prashantkikani-mistral-21565-v4-mkmlizer: ║                                                                     ║
prashantkikani-mistral-21565-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
prashantkikani-mistral-21565-v4-mkmlizer: Downloaded to shared memory in 27.849s
prashantkikani-mistral-21565-v4-mkmlizer: Checking if prashantkikani/Mistral-Nemo-Instruct-2407-chai-finetuned-model-v3_r64_qkvo_fn_with_system_prompt_full_model already exists in ChaiML
prashantkikani-mistral-21565-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpy93rbhv7, device:0
prashantkikani-mistral-21565-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
HTTP Request: %s %s "%s %d %s"
Failed to get response for submission mistralai-mistral-nem_93303_v569: ('http://mistralai-mistral-nem-93303-v569-predictor.tenant-chaiml-guanaco.k2.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
prashantkikani-mistral-21565-v4-mkmlizer: quantized model in 147.719s
prashantkikani-mistral-21565-v4-mkmlizer: Processed model prashantkikani/Mistral-Nemo-Instruct-2407-chai-finetuned-model-v3_r64_qkvo_fn_with_system_prompt_full_model in 175.594s
prashantkikani-mistral-21565-v4-mkmlizer: creating bucket guanaco-mkml-models
prashantkikani-mistral-21565-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
prashantkikani-mistral-21565-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/prashantkikani-mistral-21565-v4/nvidia
prashantkikani-mistral-21565-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/prashantkikani-mistral-21565-v4/nvidia/config.json
prashantkikani-mistral-21565-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/prashantkikani-mistral-21565-v4/nvidia/special_tokens_map.json
prashantkikani-mistral-21565-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/prashantkikani-mistral-21565-v4/nvidia/tokenizer_config.json
prashantkikani-mistral-21565-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/prashantkikani-mistral-21565-v4/nvidia/tokenizer.json
prashantkikani-mistral-21565-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/prashantkikani-mistral-21565-v4/nvidia/flywheel_model.0.safetensors
prashantkikani-mistral-21565-v4-mkmlizer: 
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Job prashantkikani-mistral-21565-v4-mkmlizer completed after 203.19s with status: succeeded
Stopping job with name prashantkikani-mistral-21565-v4-mkmlizer
Pipeline stage MKMLizer completed in 203.65s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service prashantkikani-mistral-21565-v4
Waiting for inference service prashantkikani-mistral-21565-v4 to be ready
Inference service prashantkikani-mistral-21565-v4 ready after 80.59387564659119s
Pipeline stage MKMLDeployer completed in 81.06s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 7.2267889976501465s
Received healthy response to inference request in 1.257415533065796s
Received healthy response to inference request in 1.1284196376800537s
Received healthy response to inference request in 4.526120662689209s
Received healthy response to inference request in 1.0672125816345215s
5 requests
0 failed requests
5th percentile: 1.079453992843628
10th percentile: 1.0916954040527345
20th percentile: 1.1161782264709472
30th percentile: 1.154218816757202
40th percentile: 1.205817174911499
50th percentile: 1.257415533065796
60th percentile: 2.564897584915161
70th percentile: 3.872379636764526
80th percentile: 5.066254329681397
90th percentile: 6.146521663665772
95th percentile: 6.686655330657959
99th percentile: 7.118762264251709
mean time: 3.0411914825439452
%s, retrying in %s seconds...
Received healthy response to inference request in 1.0836949348449707s
Received healthy response to inference request in 1.3931281566619873s
Received healthy response to inference request in 1.0861899852752686s
Received healthy response to inference request in 1.0432491302490234s
Received healthy response to inference request in 6.674296617507935s
5 requests
0 failed requests
5th percentile: 1.051338291168213
10th percentile: 1.0594274520874023
20th percentile: 1.0756057739257812
30th percentile: 1.0841939449310303
40th percentile: 1.0851919651031494
50th percentile: 1.0861899852752686
60th percentile: 1.208965253829956
70th percentile: 1.3317405223846435
80th percentile: 2.4493618488311775
90th percentile: 4.561829233169556
95th percentile: 5.618062925338744
99th percentile: 6.463049879074097
mean time: 2.256111764907837
Pipeline stage StressChecker completed in 29.37s
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 0.98s
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 0.69s
Shutdown handler de-registered
prashantkikani-mistral-_21565_v4 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 0.13s
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 prashantkikani-mistral-21565-v4-profiler
Waiting for inference service prashantkikani-mistral-21565-v4-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 2390.75s
Shutdown handler de-registered
prashantkikani-mistral-_21565_v4 status is now inactive due to auto deactivation removed underperforming models
prashantkikani-mistral-_21565_v4 status is now torndown due to DeploymentManager action
prashantkikani-mistral-_21565_v4 status is now torndown due to DeploymentManager action