junhua024-chai-1-full-066126

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066126_v78

model_name: junhua024-chai-1-full-066126_v78

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-15T16:54:01+00:00

num_battles: 9469

num_wins: 4569

celo_rating: 1273.4

family_friendly_score: 0.5442

family_friendly_standard_error: 0.00704338498166897

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': 0.5934437807658676, 'latency_mean': 1.684965012073517, 'latency_p50': 1.6850347518920898, 'latency_p90': 1.8644014120101928}, {'batch_size': 3, 'throughput': 1.0643735871141178, 'latency_mean': 2.8094898295402526, 'latency_p50': 2.8152166604995728, 'latency_p90': 3.079729175567627}, {'batch_size': 5, 'throughput': 1.2679097312190672, 'latency_mean': 3.9202125561237335, 'latency_p50': 3.9258155822753906, 'latency_p90': 4.340096092224121}, {'batch_size': 6, 'throughput': 1.3342877136044293, 'latency_mean': 4.464152311086655, 'latency_p50': 4.477546572685242, 'latency_p90': 4.973121190071106}, {'batch_size': 8, 'throughput': 1.409237809285183, 'latency_mean': 5.628590241670609, 'latency_p50': 5.669300079345703, 'latency_p90': 6.268197655677795}, {'batch_size': 10, 'throughput': 1.4328989157243097, 'latency_mean': 6.910851627588272, 'latency_p50': 6.9593963623046875, 'latency_p90': 7.92201189994812}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066126_v78

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.24

us_pacific_date: 2025-07-15

win_ratio: 0.4825219136128419

generation_params: {'temperature': 1.0, 'top_p': 0.9, '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-066126-v78-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v78-mkmlizer to finish
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junhua024-chai-1-full-066126-v78-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v78-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v78-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v78-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v78-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v78-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v78-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v78-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v78-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v78-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v78-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v78-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v78-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v78-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v78-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v78-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v78-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-066126-v78-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-066126-v78-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-066126-v78-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-066126-v78-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-066126-v78-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-066126-v78-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-066126-v78-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-066126-v78-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-066126-v78-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-066126-v78-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-066126-v78-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-066126-v78-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-066126-v78-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-066126-v78-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-066126-v78-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-066126-v78-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-066126-v78-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-066126-v78-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-066126-v78-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-066126-v78-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-066126-v78-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-066126-v78-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-066126-v78-mkmlizer: Downloaded to shared memory in 86.588s
junhua024-chai-1-full-066126-v78-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v78-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpm9wsblsq, device:0
junhua024-chai-1-full-066126-v78-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v78-mkmlizer: quantized model in 32.353s
junhua024-chai-1-full-066126-v78-mkmlizer: Processed model junhua024/chai-1-full-066126 in 119.031s
junhua024-chai-1-full-066126-v78-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v78-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v78-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v78/nvidia
junhua024-chai-1-full-066126-v78-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v78/nvidia/config.json
junhua024-chai-1-full-066126-v78-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v78/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v78-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v78/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v78-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v78/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v78-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v78/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v78-mkmlizer: 
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Job junhua024-chai-1-full-066126-v78-mkmlizer completed after 150.11s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v78-mkmlizer
Pipeline stage MKMLizer completed in 150.68s
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-066126-v78
Waiting for inference service junhua024-chai-1-full-066126-v78 to be ready
Inference service junhua024-chai-1-full-066126-v78 ready after 262.17611026763916s
Pipeline stage MKMLDeployer completed in 262.66s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.005632162094116s
Received healthy response to inference request in 1.7268028259277344s
Received healthy response to inference request in 1.721937656402588s
Received healthy response to inference request in 1.7643346786499023s
Received healthy response to inference request in 2.035088062286377s
5 requests
0 failed requests
5th percentile: 1.7229106903076172
10th percentile: 1.7238837242126466
20th percentile: 1.725829792022705
30th percentile: 1.734309196472168
40th percentile: 1.7493219375610352
50th percentile: 1.7643346786499023
60th percentile: 1.8726360321044921
70th percentile: 1.980937385559082
80th percentile: 2.229196882247925
90th percentile: 2.6174145221710208
95th percentile: 2.8115233421325683
99th percentile: 2.966810398101807
mean time: 2.0507590770721436
Pipeline stage StressChecker completed in 11.82s
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 0.87s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.76s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v78 status is now deployed due to DeploymentManager action
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Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.16s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.10s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-066126-v78-profiler
Waiting for inference service junhua024-chai-1-full-066126-v78-profiler to be ready
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3662.82s
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junhua024-chai-1-full-066126_v78 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v78 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v78 status is now torndown due to DeploymentManager action