chaiml-1025-quang-ir-lt_44410

developer_uid: chai_backend_admin

submission_id: chaiml-1025-quang-ir-lt_44410_v1

model_name: chaiml-1025-quang-ir-lt_44410_v1

model_group: ChaiML/1025-quang-ir-ltr

status: inactive

timestamp: 2025-10-25T19:10:26+00:00

num_battles: 6357

num_wins: 3395

celo_rating: 1294.58

family_friendly_score: 0.0

family_friendly_standard_error: 0.0

submission_type: basic

model_repo: ChaiML/1025-quang-ir-ltry-misgender-mem

model_architecture: MistralForCausalLM

model_num_parameters: 24096691200.0

best_of: 8

max_input_tokens: 2048

max_output_tokens: 64

reward_model: default

latencies: [{'batch_size': 1, 'throughput': 0.38313356929642284, 'latency_mean': 2.6099185395240783, 'latency_p50': 2.6068938970565796, 'latency_p90': 2.879635524749756}, {'batch_size': 2, 'throughput': 0.5788779457296792, 'latency_mean': 3.4502199697494507, 'latency_p50': 3.4351463317871094, 'latency_p90': 3.763987326622009}, {'batch_size': 3, 'throughput': 0.7091615762530127, 'latency_mean': 4.218693152666092, 'latency_p50': 4.231943368911743, 'latency_p90': 4.565887188911438}, {'batch_size': 4, 'throughput': 0.8110379281390994, 'latency_mean': 4.919616867303848, 'latency_p50': 4.917182207107544, 'latency_p90': 5.501952576637268}, {'batch_size': 5, 'throughput': 0.875143288589002, 'latency_mean': 5.692941548824311, 'latency_p50': 5.688129544258118, 'latency_p90': 6.3560714483261105}]

gpu_counts: {'NVIDIA L40S': 1}

display_name: chaiml-1025-quang-ir-lt_44410_v1

is_internal_developer: True

language_model: ChaiML/1025-quang-ir-ltry-misgender-mem

model_size: 24B

ranking_group: single

throughput_3p7s: 0.63

us_pacific_date: 2025-10-25

win_ratio: 0.5340569450998899

generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['####', '\n', 'You:', '</s>', '####\n'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': "{bot_name}'s persona: {memory}", 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': 'You: {message}\n', 'response_template': '####\n{bot_name}:', '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-1025-quang-ir-lt-44410-v1-mkmlizer
Waiting for job on chaiml-1025-quang-ir-lt-44410-v1-mkmlizer to finish
chaiml-1025-quang-ir-lt-44410-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-1025-quang-ir-lt-44410-v1-mkmlizer: ║                                                                     ║
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chaiml-1025-quang-ir-lt-44410-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-1025-quang-ir-lt-44410-v1-mkmlizer: ║                                                                     ║
chaiml-1025-quang-ir-lt-44410-v1-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-1025-quang-ir-lt-44410-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-1025-quang-ir-lt-44410-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-1025-quang-ir-lt-44410-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-1025-quang-ir-lt-44410-v1-mkmlizer: ║                                                                     ║
chaiml-1025-quang-ir-lt-44410-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-1025-quang-ir-lt-44410-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-1025-quang-ir-lt-44410-v1-mkmlizer: ║                                                                     ║
chaiml-1025-quang-ir-lt-44410-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-1025-quang-ir-lt-44410-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-1025-quang-ir-lt-44410-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-1025-quang-ir-lt-44410-v1-mkmlizer: ║                                                                     ║
chaiml-1025-quang-ir-lt-44410-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-1025-quang-ir-lt-44410-v1-mkmlizer: Downloaded to shared memory in 66.216s
chaiml-1025-quang-ir-lt-44410-v1-mkmlizer: Checking if ChaiML/1025-quang-ir-ltry-misgender-mem already exists in ChaiML
chaiml-1025-quang-ir-lt-44410-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpd8_6u_lo, device:0
chaiml-1025-quang-ir-lt-44410-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-1025-quang-ir-lt-44410-v1-mkmlizer: quantized model in 43.132s
chaiml-1025-quang-ir-lt-44410-v1-mkmlizer: Processed model ChaiML/1025-quang-ir-ltry-misgender-mem in 109.348s
chaiml-1025-quang-ir-lt-44410-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-1025-quang-ir-lt-44410-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-1025-quang-ir-lt-44410-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-1025-quang-ir-lt-44410-v1/nvidia
chaiml-1025-quang-ir-lt-44410-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-1025-quang-ir-lt-44410-v1/nvidia/config.json
chaiml-1025-quang-ir-lt-44410-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-1025-quang-ir-lt-44410-v1/nvidia/special_tokens_map.json
chaiml-1025-quang-ir-lt-44410-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-1025-quang-ir-lt-44410-v1/nvidia/tokenizer_config.json
chaiml-1025-quang-ir-lt-44410-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-1025-quang-ir-lt-44410-v1/nvidia/tokenizer.json
chaiml-1025-quang-ir-lt-44410-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-1025-quang-ir-lt-44410-v1/nvidia/flywheel_model.0.safetensors
chaiml-1025-quang-ir-lt-44410-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-1025-quang-ir-lt-44410-v1/nvidia/flywheel_model.1.safetensors
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Job chaiml-1025-quang-ir-lt-44410-v1-mkmlizer completed after 184.2s with status: succeeded
Stopping job with name chaiml-1025-quang-ir-lt-44410-v1-mkmlizer
Pipeline stage MKMLizer completed in 184.67s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-1025-quang-ir-lt-44410-v1
Waiting for inference service chaiml-1025-quang-ir-lt-44410-v1 to be ready
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', '')
Inference service chaiml-1025-quang-ir-lt-44410-v1 ready after 90.25479674339294s
Pipeline stage MKMLDeployer completed in 90.76s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.8767244815826416s
Received healthy response to inference request in 2.1974806785583496s
Received healthy response to inference request in 2.60687255859375s
Received healthy response to inference request in 2.723971366882324s
Received healthy response to inference request in 2.11566162109375s
5 requests
0 failed requests
5th percentile: 2.13202543258667
10th percentile: 2.1483892440795898
20th percentile: 2.1811168670654295
30th percentile: 2.27935905456543
40th percentile: 2.44311580657959
50th percentile: 2.60687255859375
60th percentile: 2.6537120819091795
70th percentile: 2.7005516052246095
80th percentile: 2.7545219898223876
90th percentile: 2.815623235702515
95th percentile: 2.846173858642578
99th percentile: 2.8706143569946287
mean time: 2.504142141342163
Pipeline stage StressChecker completed in 23.64s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.59s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
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Pipeline stage OfflineFamilyFriendlyScorer completed in 5805.18s
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