junhua024-chai-1-full-066126

developer_uid: junhua024
submission_id: junhua024-chai-1-full-066126_v7
model_name: junhua024-chai-1-full-066126_v7
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-06-29T20:32:22+00:00
num_battles: 7071
num_wins: 3619
celo_rating: 1278.32
family_friendly_score: 0.5462
family_friendly_standard_error: 0.007040817566163747
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': 0.6033396309139821, 'latency_mean': 1.6573109197616578, 'latency_p50': 1.6506259441375732, 'latency_p90': 1.8286953687667846}, {'batch_size': 3, 'throughput': 1.0812942473708234, 'latency_mean': 2.768790749311447, 'latency_p50': 2.749570369720459, 'latency_p90': 3.0717777490615843}, {'batch_size': 5, 'throughput': 1.2891722235290768, 'latency_mean': 3.8662745344638823, 'latency_p50': 3.872543454170227, 'latency_p90': 4.2808247089385985}, {'batch_size': 6, 'throughput': 1.3653538558640281, 'latency_mean': 4.37029135465622, 'latency_p50': 4.362870216369629, 'latency_p90': 5.025860929489136}, {'batch_size': 8, 'throughput': 1.4136359460244496, 'latency_mean': 5.612919512987137, 'latency_p50': 5.622015833854675, 'latency_p90': 6.268705439567566}, {'batch_size': 10, 'throughput': 1.4476026537548166, 'latency_mean': 6.847806537151337, 'latency_p50': 6.848288655281067, 'latency_p90': 7.769808340072632}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066126_v7
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.27
us_pacific_date: 2025-06-29
win_ratio: 0.5118087964927167
generation_params: {'temperature': 1.0, 'top_p': 1.0, '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': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{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-v7-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v7-mkmlizer to finish
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junhua024-chai-1-full-066126-v7-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v7-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v7-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v7-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-066126-v7-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v7-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v7-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v7-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v7-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v7-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v7-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v7-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v7-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v7-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v7-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-mkmlizer: Downloaded to shared memory in 90.646s
junhua024-chai-1-full-066126-v7-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v7-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp0fga0lfl, device:0
junhua024-chai-1-full-066126-v7-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v7-mkmlizer: quantized model in 52.969s
junhua024-chai-1-full-066126-v7-mkmlizer: Processed model junhua024/chai-1-full-066126 in 143.710s
junhua024-chai-1-full-066126-v7-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v7-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v7-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v7
junhua024-chai-1-full-066126-v7-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v7/config.json
junhua024-chai-1-full-066126-v7-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v7/special_tokens_map.json
junhua024-chai-1-full-066126-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v7/tokenizer_config.json
junhua024-chai-1-full-066126-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v7/tokenizer.json
junhua024-chai-1-full-066126-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v7/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v7-mkmlizer: 
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Job junhua024-chai-1-full-066126-v7-mkmlizer completed after 180.53s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v7-mkmlizer
Pipeline stage MKMLizer completed in 181.33s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.25s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v7
Waiting for inference service junhua024-chai-1-full-066126-v7 to be ready
Inference service junhua024-chai-1-full-066126-v7 ready after 200.94018173217773s
Pipeline stage MKMLDeployer completed in 201.87s
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 2.4729058742523193s
Received healthy response to inference request in 2.210007905960083s
Received healthy response to inference request in 1.7133760452270508s
Received healthy response to inference request in 2.0534958839416504s
5 requests
1 failed requests
5th percentile: 1.7814000129699707
10th percentile: 1.8494239807128907
20th percentile: 1.9854719161987304
30th percentile: 2.084798288345337
40th percentile: 2.14740309715271
50th percentile: 2.210007905960083
60th percentile: 2.3151670932769775
70th percentile: 2.420326280593872
80th percentile: 6.021949291229252
90th percentile: 13.120036125183107
95th percentile: 16.66907954216003
99th percentile: 19.508314275741576
mean time: 5.7335817337036135
%s, retrying in %s seconds...
Received healthy response to inference request in 1.8897228240966797s
Received healthy response to inference request in 1.8122270107269287s
Received healthy response to inference request in 1.5786950588226318s
Received healthy response to inference request in 1.5932257175445557s
Received healthy response to inference request in 1.5155150890350342s
5 requests
0 failed requests
5th percentile: 1.5281510829925538
10th percentile: 1.5407870769500733
20th percentile: 1.5660590648651123
30th percentile: 1.5816011905670166
40th percentile: 1.587413454055786
50th percentile: 1.5932257175445557
60th percentile: 1.680826234817505
70th percentile: 1.768426752090454
80th percentile: 1.827726173400879
90th percentile: 1.8587244987487792
95th percentile: 1.8742236614227294
99th percentile: 1.8866229915618897
mean time: 1.677877140045166
Pipeline stage StressChecker completed in 39.76s
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 1.10s
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 0.67s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v7 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 0.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-066126-v7-profiler
Waiting for inference service junhua024-chai-1-full-066126-v7-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
Pipeline stage OfflineFamilyFriendlyScorer completed in 6219.66s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v7 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v7 status is now torndown due to DeploymentManager action