junhua024-chai-02-full-06205

developer_uid: junhua024
submission_id: junhua024-chai-02-full-06205_v1
model_name: junhua024-chai-02-full-06205_v1
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-16T16:33:01+00:00
num_battles: 7991
num_wins: 4038
celo_rating: 1278.39
family_friendly_score: 0.5476
family_friendly_standard_error: 0.007038952194751716
submission_type: basic
model_repo: junhua024/chai_02_full_06205
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': 0.5900981391725317, 'latency_mean': 1.6945060777664185, 'latency_p50': 1.6961780786514282, 'latency_p90': 1.8500585556030273}, {'batch_size': 3, 'throughput': 1.0742639499686022, 'latency_mean': 2.7850925195217133, 'latency_p50': 2.7612037658691406, 'latency_p90': 3.080473041534424}, {'batch_size': 5, 'throughput': 1.282937903524734, 'latency_mean': 3.877450395822525, 'latency_p50': 3.8776681423187256, 'latency_p90': 4.283957386016845}, {'batch_size': 6, 'throughput': 1.3378669360243425, 'latency_mean': 4.461496922969818, 'latency_p50': 4.449423909187317, 'latency_p90': 5.026622653007507}, {'batch_size': 8, 'throughput': 1.398372517385009, 'latency_mean': 5.6824059009552, 'latency_p50': 5.700286269187927, 'latency_p90': 6.509402847290039}, {'batch_size': 10, 'throughput': 1.4232514073248888, 'latency_mean': 6.972394125461578, 'latency_p50': 6.966069936752319, 'latency_p90': 7.735568785667419}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full-06205_v1
is_internal_developer: False
language_model: junhua024/chai_02_full_06205
model_size: 13B
ranking_group: single
throughput_3p7s: 1.26
us_pacific_date: 2025-07-16
win_ratio: 0.5053184832937054
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-02-full-06205-v1-mkmlizer
Waiting for job on junhua024-chai-02-full-06205-v1-mkmlizer to finish
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junhua024-chai-02-full-06205-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-06205-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-06205-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-06205-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-06205-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-06205-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-06205-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-06205-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-06205-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-06205-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-06205-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-06205-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-06205-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-06205-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-06205-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-06205-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-06205-v1-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-02-full-06205-v1-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-02-full-06205-v1-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-02-full-06205-v1-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-02-full-06205-v1-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-02-full-06205-v1-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-02-full-06205-v1-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-02-full-06205-v1-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-02-full-06205-v1-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-02-full-06205-v1-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-02-full-06205-v1-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-02-full-06205-v1-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-02-full-06205-v1-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`
Connection pool is full, discarding connection: %s. Connection pool size: %s
junhua024-chai-02-full-06205-v1-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-02-full-06205-v1-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-02-full-06205-v1-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-02-full-06205-v1-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-02-full-06205-v1-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-02-full-06205-v1-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-02-full-06205-v1-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-02-full-06205-v1-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-02-full-06205-v1-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-02-full-06205-v1-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-02-full-06205-v1-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-02-full-06205-v1-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-02-full-06205-v1-mkmlizer: Downloaded to shared memory in 232.037s
junhua024-chai-02-full-06205-v1-mkmlizer: Checking if junhua024/chai_02_full_06205 already exists in ChaiML
junhua024-chai-02-full-06205-v1-mkmlizer: Creating repo ChaiML/chai_02_full_06205 and uploading /tmp/tmp0ua03sp3 to it
junhua024-chai-02-full-06205-v1-mkmlizer: 
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junhua024-chai-02-full-06205-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp0ua03sp3, device:0
junhua024-chai-02-full-06205-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-02-full-06205-v1-mkmlizer: quantized model in 32.090s
junhua024-chai-02-full-06205-v1-mkmlizer: Processed model junhua024/chai_02_full_06205 in 354.000s
junhua024-chai-02-full-06205-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-06205-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-06205-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-06205-v1/nvidia
junhua024-chai-02-full-06205-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-06205-v1/nvidia/config.json
junhua024-chai-02-full-06205-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-06205-v1/nvidia/special_tokens_map.json
junhua024-chai-02-full-06205-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-06205-v1/nvidia/tokenizer_config.json
junhua024-chai-02-full-06205-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-06205-v1/nvidia/tokenizer.json
junhua024-chai-02-full-06205-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-06205-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-02-full-06205-v1-mkmlizer completed after 378.79s with status: succeeded
Stopping job with name junhua024-chai-02-full-06205-v1-mkmlizer
Pipeline stage MKMLizer completed in 379.33s
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-02-full-06205-v1
Waiting for inference service junhua024-chai-02-full-06205-v1 to be ready
Inference service junhua024-chai-02-full-06205-v1 ready after 281.24700117111206s
Pipeline stage MKMLDeployer completed in 281.75s
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 2.470412492752075s
Received healthy response to inference request in 1.8321478366851807s
Received healthy response to inference request in 2.295257806777954s
Received healthy response to inference request in 1.7192580699920654s
5 requests
1 failed requests
5th percentile: 1.7418360233306884
10th percentile: 1.7644139766693114
20th percentile: 1.8095698833465577
30th percentile: 1.9247698307037353
40th percentile: 2.110013818740845
50th percentile: 2.295257806777954
60th percentile: 2.3653196811676027
70th percentile: 2.435381555557251
80th percentile: 6.012119150161746
90th percentile: 13.09553246498108
95th percentile: 16.637239122390746
99th percentile: 19.470604448318483
mean time: 5.699204397201538
%s, retrying in %s seconds...
Received healthy response to inference request in 2.238555669784546s
Received healthy response to inference request in 1.6546094417572021s
Received healthy response to inference request in 2.505021810531616s
Received healthy response to inference request in 2.0394020080566406s
Received healthy response to inference request in 1.5856375694274902s
5 requests
0 failed requests
5th percentile: 1.5994319438934326
10th percentile: 1.613226318359375
20th percentile: 1.6408150672912598
30th percentile: 1.73156795501709
40th percentile: 1.8854849815368653
50th percentile: 2.0394020080566406
60th percentile: 2.119063472747803
70th percentile: 2.198724937438965
80th percentile: 2.29184889793396
90th percentile: 2.398435354232788
95th percentile: 2.451728582382202
99th percentile: 2.4943631649017335
mean time: 2.004645299911499
Pipeline stage StressChecker completed in 41.99s
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 0.89s
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 0.77s
Shutdown handler de-registered
junhua024-chai-02-full-06205_v1 status is now deployed due to DeploymentManager action
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 3729.98s
Shutdown handler de-registered
junhua024-chai-02-full-06205_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full-06205_v1 status is now torndown due to DeploymentManager action
junhua024-chai-02-full-06205_v1 status is now torndown due to DeploymentManager action