junhua024-chai-1-full-066126

developer_uid: junhua024
submission_id: junhua024-chai-1-full-066126_v46
model_name: junhua024-chai-1-full-066126_v46
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-15T06:02:34+00:00
num_battles: 7777
num_wins: 3759
celo_rating: 1277.35
family_friendly_score: 0.5489999999999999
family_friendly_standard_error: 0.007037030623778754
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': 0.588484423665366, 'latency_mean': 1.6990939366817475, 'latency_p50': 1.7017096281051636, 'latency_p90': 1.8645816326141358}, {'batch_size': 3, 'throughput': 1.072496554256833, 'latency_mean': 2.7900401282310487, 'latency_p50': 2.7868988513946533, 'latency_p90': 3.0895705938339235}, {'batch_size': 5, 'throughput': 1.278914587203756, 'latency_mean': 3.897797614336014, 'latency_p50': 3.8974932432174683, 'latency_p90': 4.3776612997055055}, {'batch_size': 6, 'throughput': 1.3382313304169002, 'latency_mean': 4.458880677223205, 'latency_p50': 4.454578638076782, 'latency_p90': 4.963754868507385}, {'batch_size': 8, 'throughput': 1.3978465757948948, 'latency_mean': 5.678253103494644, 'latency_p50': 5.705081462860107, 'latency_p90': 6.3857046365737915}, {'batch_size': 10, 'throughput': 1.435222740408019, 'latency_mean': 6.922491288185119, 'latency_p50': 6.908487319946289, 'latency_p90': 7.7730144500732425}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066126_v46
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.25
us_pacific_date: 2025-07-14
win_ratio: 0.48334833483348333
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-066126-v46-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v46-mkmlizer to finish
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junhua024-chai-1-full-066126-v46-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v46-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v46-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v46-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v46-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v46-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v46-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v46-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v46-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v46-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v46-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v46-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v46-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v46-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v46-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v46-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v46-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-v46-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-v46-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-v46-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-v46-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-v46-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-v46-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-v46-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-v46-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-v46-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-v46-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-v46-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-v46-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-v46-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-v46-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-v46-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-v46-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-v46-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-v46-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-v46-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-v46-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-v46-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-v46-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-v46-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-v46-mkmlizer: Downloaded to shared memory in 83.735s
junhua024-chai-1-full-066126-v46-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v46-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpgz76hi04, device:0
junhua024-chai-1-full-066126-v46-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v46-mkmlizer: quantized model in 32.229s
junhua024-chai-1-full-066126-v46-mkmlizer: Processed model junhua024/chai-1-full-066126 in 116.070s
junhua024-chai-1-full-066126-v46-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v46-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v46/nvidia
junhua024-chai-1-full-066126-v46-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v46/nvidia/config.json
junhua024-chai-1-full-066126-v46-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v46/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v46-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v46/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v46-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v46/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v46-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v46/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v46-mkmlizer: 
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Job junhua024-chai-1-full-066126-v46-mkmlizer completed after 148.25s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v46-mkmlizer
Pipeline stage MKMLizer completed in 150.10s
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 junhua024-chai-1-full-066126-v46
Waiting for inference service junhua024-chai-1-full-066126-v46 to be ready
Inference service junhua024-chai-1-full-066126-v46 ready after 240.86780667304993s
Pipeline stage MKMLDeployer completed in 241.34s
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 2.91235089302063s
Received healthy response to inference request in 1.6035308837890625s
Received healthy response to inference request in 1.5617339611053467s
Received healthy response to inference request in 1.6777763366699219s
5 requests
1 failed requests
5th percentile: 1.5700933456420898
10th percentile: 1.578452730178833
20th percentile: 1.5951714992523194
30th percentile: 1.6183799743652343
40th percentile: 1.648078155517578
50th percentile: 1.6777763366699219
60th percentile: 2.1716061592102047
70th percentile: 2.665435981750488
80th percentile: 6.363335084915164
90th percentile: 13.265303468704225
95th percentile: 16.716287660598752
99th percentile: 19.47707501411438
mean time: 5.584532785415649
%s, retrying in %s seconds...
Received healthy response to inference request in 1.727334976196289s
Received healthy response to inference request in 1.6277761459350586s
Received healthy response to inference request in 1.7724597454071045s
Received healthy response to inference request in 1.5353469848632812s
Received healthy response to inference request in 2.0386345386505127s
5 requests
0 failed requests
5th percentile: 1.5538328170776368
10th percentile: 1.5723186492919923
20th percentile: 1.609290313720703
30th percentile: 1.6476879119873047
40th percentile: 1.6875114440917969
50th percentile: 1.727334976196289
60th percentile: 1.7453848838806152
70th percentile: 1.7634347915649413
80th percentile: 1.8256947040557863
90th percentile: 1.9321646213531494
95th percentile: 1.985399580001831
99th percentile: 2.027987546920776
mean time: 1.7403104782104493
Pipeline stage StressChecker completed in 39.18s
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 1.13s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v46 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 0.16s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-066126-v46-profiler
Waiting for inference service junhua024-chai-1-full-066126-v46-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
Pipeline stage OfflineFamilyFriendlyScorer completed in 5070.45s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v46 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v46 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v46 status is now torndown due to DeploymentManager action