junhua024-chai-1-full-00220

developer_uid: junhua024
submission_id: junhua024-chai-1-full-00220_v2
model_name: junhua024-chai-1-full-00220_v2
model_group: junhua024/chai_1-full_00
status: torndown
timestamp: 2025-06-28T17:09:07+00:00
num_battles: 9211
num_wins: 4120
celo_rating: 1248.37
family_friendly_score: 0.5808
family_friendly_standard_error: 0.006978128115762852
submission_type: basic
model_repo: junhua024/chai_1-full_00220
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': 0.597647393196161, 'latency_mean': 1.673103905916214, 'latency_p50': 1.682449460029602, 'latency_p90': 1.8424440622329712}, {'batch_size': 3, 'throughput': 1.0884737240739466, 'latency_mean': 2.7499614608287812, 'latency_p50': 2.7532416582107544, 'latency_p90': 3.0123587131500242}, {'batch_size': 5, 'throughput': 1.2989269327803274, 'latency_mean': 3.8254303872585296, 'latency_p50': 3.8460229635238647, 'latency_p90': 4.221167683601379}, {'batch_size': 6, 'throughput': 1.3477638625621626, 'latency_mean': 4.433442610502243, 'latency_p50': 4.467818021774292, 'latency_p90': 4.967222261428833}, {'batch_size': 8, 'throughput': 1.4189938034589327, 'latency_mean': 5.5937673854827885, 'latency_p50': 5.616944670677185, 'latency_p90': 6.3415138721466064}, {'batch_size': 10, 'throughput': 1.447682742094813, 'latency_mean': 6.840669956207275, 'latency_p50': 6.822424650192261, 'latency_p90': 7.729202628135681}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-00220_v2
is_internal_developer: False
language_model: junhua024/chai_1-full_00220
model_size: 13B
ranking_group: single
throughput_3p7s: 1.29
us_pacific_date: 2025-06-28
win_ratio: 0.44729128216263164
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, '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####\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-00220-v2-mkmlizer
Waiting for job on junhua024-chai-1-full-00220-v2-mkmlizer to finish
junhua024-chai-1-full-00220-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-00220-v2-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-00220-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-00220-v2-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-00220-v2-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-00220-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-00220-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-00220-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-00220-v2-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-00220-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-00220-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-00220-v2-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-00220-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-00220-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-00220-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-00220-v2-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-00220-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-00220-v2-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-00220-v2-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-00220-v2-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-00220-v2-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-00220-v2-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-00220-v2-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-00220-v2-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-00220-v2-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-00220-v2-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-00220-v2-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-00220-v2-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-00220-v2-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-00220-v2-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-00220-v2-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-00220-v2-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-00220-v2-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-00220-v2-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-00220-v2-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-00220-v2-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-00220-v2-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-00220-v2-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-00220-v2-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-00220-v2-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-00220-v2-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-00220-v2-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-00220-v2-mkmlizer: Downloaded to shared memory in 191.375s
junhua024-chai-1-full-00220-v2-mkmlizer: Checking if junhua024/chai_1-full_00220 already exists in ChaiML
junhua024-chai-1-full-00220-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp5pcb_1vh, device:0
junhua024-chai-1-full-00220-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-00220-v2-mkmlizer: quantized model in 31.417s
junhua024-chai-1-full-00220-v2-mkmlizer: Processed model junhua024/chai_1-full_00220 in 222.884s
junhua024-chai-1-full-00220-v2-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-00220-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-00220-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-00220-v2
junhua024-chai-1-full-00220-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-00220-v2/config.json
junhua024-chai-1-full-00220-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-00220-v2/special_tokens_map.json
junhua024-chai-1-full-00220-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-00220-v2/tokenizer_config.json
junhua024-chai-1-full-00220-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-00220-v2/tokenizer.json
junhua024-chai-1-full-00220-v2-mkmlizer: 
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Job junhua024-chai-1-full-00220-v2-mkmlizer completed after 249.6s with status: succeeded
Stopping job with name junhua024-chai-1-full-00220-v2-mkmlizer
Pipeline stage MKMLizer completed in 250.14s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.23s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-00220-v2
Waiting for inference service junhua024-chai-1-full-00220-v2 to be ready
Inference service junhua024-chai-1-full-00220-v2 ready after 160.84740090370178s
Pipeline stage MKMLDeployer completed in 161.40s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 1.7987442016601562s
Received healthy response to inference request in 1.751448392868042s
Received healthy response to inference request in 1.694167137145996s
Received healthy response to inference request in 1.4556708335876465s
5 requests
1 failed requests
5th percentile: 1.5033700942993165
10th percentile: 1.5510693550109864
20th percentile: 1.6464678764343261
30th percentile: 1.7056233882904053
40th percentile: 1.7285358905792236
50th percentile: 1.751448392868042
60th percentile: 1.7703667163848877
70th percentile: 1.7892850399017335
80th percentile: 5.465339660644535
90th percentile: 12.798530578613283
95th percentile: 16.465126037597653
99th percentile: 19.398402404785156
mean time: 5.366350412368774
%s, retrying in %s seconds...
Received healthy response to inference request in 0.849381685256958s
Received healthy response to inference request in 1.486828088760376s
Received healthy response to inference request in 1.582094430923462s
Received healthy response to inference request in 1.867964267730713s
Received healthy response to inference request in 1.1643893718719482s
5 requests
0 failed requests
5th percentile: 0.9123832225799561
10th percentile: 0.9753847599029541
20th percentile: 1.1013878345489503
30th percentile: 1.2288771152496338
40th percentile: 1.3578526020050048
50th percentile: 1.486828088760376
60th percentile: 1.5249346256256104
70th percentile: 1.5630411624908447
80th percentile: 1.639268398284912
90th percentile: 1.7536163330078125
95th percentile: 1.8107903003692627
99th percentile: 1.8565294742584229
mean time: 1.3901315689086915
Pipeline stage StressChecker completed in 37.10s
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 0.76s
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 0.63s
Shutdown handler de-registered
junhua024-chai-1-full-00220_v2 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 0.15s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.13s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-00220-v2-profiler
Waiting for inference service junhua024-chai-1-full-00220-v2-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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 4091.39s
Shutdown handler de-registered
junhua024-chai-1-full-00220_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-00220_v2 status is now torndown due to DeploymentManager action