junhua024-chai-1-full_94469

developer_uid: junhua024

submission_id: junhua024-chai-1-full_94469_v120

model_name: junhua024-chai-1-full_94469_v120

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-18T01:58:52+00:00

num_battles: 6979

num_wins: 3443

celo_rating: 1278.32

family_friendly_score: 0.5526

family_friendly_standard_error: 0.007031831055991035

submission_type: basic

model_repo: junhua024/chai-1-full-066126

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': 0.5939669870665154, 'latency_mean': 1.6834157133102416, 'latency_p50': 1.6828895807266235, 'latency_p90': 1.8634534358978272}, {'batch_size': 3, 'throughput': 1.0597071332611956, 'latency_mean': 2.82625750541687, 'latency_p50': 2.8365581035614014, 'latency_p90': 3.109737730026245}, {'batch_size': 5, 'throughput': 1.2717991061219311, 'latency_mean': 3.909918122291565, 'latency_p50': 3.8853323459625244, 'latency_p90': 4.298396897315979}, {'batch_size': 6, 'throughput': 1.3150961447538487, 'latency_mean': 4.527449876070023, 'latency_p50': 4.572437167167664, 'latency_p90': 5.024977970123291}, {'batch_size': 8, 'throughput': 1.3743954288312892, 'latency_mean': 5.777100332975388, 'latency_p50': 5.727855205535889, 'latency_p90': 6.523731756210327}, {'batch_size': 10, 'throughput': 1.4088102376455849, 'latency_mean': 7.040518066883087, 'latency_p50': 7.075229287147522, 'latency_p90': 7.944605779647827}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full_94469_v120

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.25

us_pacific_date: 2025-07-17

win_ratio: 0.49333715432010317

generation_params: {'temperature': 1.0, 'top_p': 0.88, 'min_p': 0.0, 'top_k': 10, '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 junhua024-chai-1-full-94469-v120-mkmlizer
Waiting for job on junhua024-chai-1-full-94469-v120-mkmlizer to finish
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junhua024-chai-1-full-94469-v120-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-94469-v120-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-94469-v120-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v120-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-94469-v120-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-94469-v120-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-94469-v120-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-94469-v120-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v120-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-94469-v120-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-94469-v120-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v120-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-94469-v120-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-94469-v120-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-94469-v120-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-94469-v120-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-94469-v120-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v120-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v120-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v120-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v120-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v120-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v120-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v120-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v120-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v120-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v120-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v120-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v120-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v120-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v120-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v120-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v120-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v120-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v120-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v120-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v120-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v120-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v120-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v120-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-1-full-94469-v120-mkmlizer: Downloaded to shared memory in 84.540s
junhua024-chai-1-full-94469-v120-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-94469-v120-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpju1l509d, device:0
junhua024-chai-1-full-94469-v120-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-94469-v120-mkmlizer: quantized model in 31.969s
junhua024-chai-1-full-94469-v120-mkmlizer: Processed model junhua024/chai-1-full-066126 in 116.595s
junhua024-chai-1-full-94469-v120-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-94469-v120-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-94469-v120-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v120/nvidia
junhua024-chai-1-full-94469-v120-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v120/nvidia/config.json
junhua024-chai-1-full-94469-v120-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v120/nvidia/special_tokens_map.json
junhua024-chai-1-full-94469-v120-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v120/nvidia/tokenizer_config.json
junhua024-chai-1-full-94469-v120-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v120/nvidia/tokenizer.json
junhua024-chai-1-full-94469-v120-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v120/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-94469-v120-mkmlizer: 
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Job junhua024-chai-1-full-94469-v120-mkmlizer completed after 141.8s with status: succeeded
Stopping job with name junhua024-chai-1-full-94469-v120-mkmlizer
Pipeline stage MKMLizer completed in 142.45s
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 junhua024-chai-1-full-94469-v120
Waiting for inference service junhua024-chai-1-full-94469-v120 to be ready
Inference service junhua024-chai-1-full-94469-v120 ready after 312.8377664089203s
Pipeline stage MKMLDeployer completed in 313.50s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.381772994995117s
Received healthy response to inference request in 1.652822494506836s
Received healthy response to inference request in 1.5286076068878174s
Received healthy response to inference request in 1.5759618282318115s
Received healthy response to inference request in 1.6561555862426758s
5 requests
0 failed requests
5th percentile: 1.5380784511566161
10th percentile: 1.547549295425415
20th percentile: 1.5664909839630128
30th percentile: 1.5913339614868165
40th percentile: 1.6220782279968262
50th percentile: 1.652822494506836
60th percentile: 1.6541557312011719
70th percentile: 1.6554889678955078
80th percentile: 1.8012790679931643
90th percentile: 2.0915260314941406
95th percentile: 2.236649513244629
99th percentile: 2.3527482986450194
mean time: 1.7590641021728515
Pipeline stage StressChecker completed in 10.67s
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 0.71s
Shutdown handler de-registered
junhua024-chai-1-full_94469_v120 status is now deployed due to DeploymentManager action
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 3205.45s
Shutdown handler de-registered
junhua024-chai-1-full_94469_v120 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full_94469_v120 status is now torndown due to DeploymentManager action
junhua024-chai-1-full_94469_v120 status is now torndown due to DeploymentManager action