junhua024-chai-06-full_71610

developer_uid: junhua024
submission_id: junhua024-chai-06-full_71610_v10
model_name: junhua024-chai-06-full_71610_v10
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-18T02:00:53+00:00
num_battles: 6628
num_wins: 3394
celo_rating: 1289.8
family_friendly_score: 0.5598000000000001
family_friendly_standard_error: 0.007020312813543283
submission_type: basic
model_repo: junhua024/chai_06_full_02102_1619_2024
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': 0.5973641152320105, 'latency_mean': 1.6738988196849822, 'latency_p50': 1.6728501319885254, 'latency_p90': 1.8425035715103149}, {'batch_size': 3, 'throughput': 1.0639636905810803, 'latency_mean': 2.8057376849651336, 'latency_p50': 2.8151525259017944, 'latency_p90': 3.0919155359268187}, {'batch_size': 5, 'throughput': 1.290837867725425, 'latency_mean': 3.8526143515110016, 'latency_p50': 3.869086980819702, 'latency_p90': 4.298079705238342}, {'batch_size': 6, 'throughput': 1.3461739671222253, 'latency_mean': 4.427450301647187, 'latency_p50': 4.449450612068176, 'latency_p90': 4.9598451375961305}, {'batch_size': 8, 'throughput': 1.4098350473727552, 'latency_mean': 5.63418487071991, 'latency_p50': 5.652493715286255, 'latency_p90': 6.253688311576843}, {'batch_size': 10, 'throughput': 1.4496109511863082, 'latency_mean': 6.8393625855445865, 'latency_p50': 6.790369272232056, 'latency_p90': 7.676958990097046}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full_71610_v10
is_internal_developer: False
language_model: junhua024/chai_06_full_02102_1619_2024
model_size: 13B
ranking_group: single
throughput_3p7s: 1.27
us_pacific_date: 2025-07-17
win_ratio: 0.512070006035003
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-06-full-71610-v10-mkmlizer
Waiting for job on junhua024-chai-06-full-71610-v10-mkmlizer to finish
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junhua024-chai-06-full-71610-v10-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-71610-v10-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-71610-v10-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-71610-v10-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-71610-v10-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-71610-v10-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-71610-v10-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-71610-v10-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-71610-v10-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-71610-v10-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-71610-v10-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-71610-v10-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-71610-v10-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-71610-v10-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-71610-v10-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-71610-v10-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-71610-v10-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-06-full-71610-v10-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-06-full-71610-v10-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-06-full-71610-v10-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-06-full-71610-v10-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-06-full-71610-v10-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-06-full-71610-v10-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-06-full-71610-v10-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-06-full-71610-v10-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-06-full-71610-v10-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-06-full-71610-v10-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-06-full-71610-v10-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-06-full-71610-v10-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-06-full-71610-v10-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-06-full-71610-v10-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-06-full-71610-v10-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-06-full-71610-v10-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-06-full-71610-v10-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-06-full-71610-v10-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-06-full-71610-v10-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-06-full-71610-v10-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-06-full-71610-v10-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-06-full-71610-v10-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-06-full-71610-v10-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-06-full-71610-v10-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-06-full-71610-v10-mkmlizer: Downloaded to shared memory in 87.607s
junhua024-chai-06-full-71610-v10-mkmlizer: Checking if junhua024/chai_06_full_02102_1619_2024 already exists in ChaiML
junhua024-chai-06-full-71610-v10-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpv4x3eo8s, device:0
junhua024-chai-06-full-71610-v10-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-71610-v10-mkmlizer: quantized model in 37.867s
junhua024-chai-06-full-71610-v10-mkmlizer: Processed model junhua024/chai_06_full_02102_1619_2024 in 125.563s
junhua024-chai-06-full-71610-v10-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-71610-v10-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-71610-v10-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-71610-v10/nvidia
junhua024-chai-06-full-71610-v10-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-71610-v10/nvidia/config.json
junhua024-chai-06-full-71610-v10-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-71610-v10/nvidia/special_tokens_map.json
junhua024-chai-06-full-71610-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-71610-v10/nvidia/tokenizer_config.json
junhua024-chai-06-full-71610-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-71610-v10/nvidia/tokenizer.json
junhua024-chai-06-full-71610-v10-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-71610-v10/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-71610-v10-mkmlizer: 
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Job junhua024-chai-06-full-71610-v10-mkmlizer completed after 153.88s with status: succeeded
Stopping job with name junhua024-chai-06-full-71610-v10-mkmlizer
Pipeline stage MKMLizer completed in 154.46s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.48s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-06-full-71610-v10
Waiting for inference service junhua024-chai-06-full-71610-v10 to be ready
Failed to get response for submission chaiml-bat-boys-azeril-_87348_v1: ('http://chaiml-bat-boys-azeril-87348-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Inference service junhua024-chai-06-full-71610-v10 ready after 321.86946177482605s
Pipeline stage MKMLDeployer completed in 322.39s
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 2.4516804218292236s
Received healthy response to inference request in 1.640974521636963s
Received healthy response to inference request in 2.1447434425354004s
Received healthy response to inference request in 1.6140213012695312s
5 requests
1 failed requests
5th percentile: 1.6194119453430176
10th percentile: 1.624802589416504
20th percentile: 1.6355838775634766
30th percentile: 1.7417283058166504
40th percentile: 1.9432358741760254
50th percentile: 2.1447434425354004
60th percentile: 2.26751823425293
70th percentile: 2.390293025970459
80th percentile: 5.998771333694461
90th percentile: 13.09295315742493
95th percentile: 16.64004406929016
99th percentile: 19.47771679878235
mean time: 5.607710933685302
%s, retrying in %s seconds...
Received healthy response to inference request in 1.841796875s
Received healthy response to inference request in 1.867128849029541s
Received healthy response to inference request in 1.623077392578125s
Received healthy response to inference request in 1.7700250148773193s
Received healthy response to inference request in 1.8550753593444824s
5 requests
0 failed requests
5th percentile: 1.6524669170379638
10th percentile: 1.6818564414978028
20th percentile: 1.7406354904174806
30th percentile: 1.7843793869018554
40th percentile: 1.8130881309509277
50th percentile: 1.841796875
60th percentile: 1.8471082687377929
70th percentile: 1.852419662475586
80th percentile: 1.8574860572814942
90th percentile: 1.8623074531555175
95th percentile: 1.8647181510925293
99th percentile: 1.8666467094421386
mean time: 1.7914206981658936
Pipeline stage StressChecker completed in 40.09s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.76s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.98s
Shutdown handler de-registered
junhua024-chai-06-full_71610_v10 status is now deployed due to DeploymentManager action
Shutdown handler registered
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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 0.13s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-06-full-71610-v10-profiler
Waiting for inference service junhua024-chai-06-full-71610-v10-profiler to be ready
Shutdown handler registered
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run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3276.03s
Shutdown handler de-registered
junhua024-chai-06-full_71610_v10 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full_71610_v10 status is now torndown due to DeploymentManager action
junhua024-chai-06-full_71610_v10 status is now torndown due to DeploymentManager action