junhua024-chai-1-full-06611

developer_uid: junhua024
submission_id: junhua024-chai-1-full-06611_v3
model_name: junhua024-chai-1-full-06611_v3
model_group: junhua024/chai_1-full_06
status: torndown
timestamp: 2025-06-29T17:28:00+00:00
num_battles: 6808
num_wins: 3275
celo_rating: 1260.18
family_friendly_score: 0.5614
family_friendly_standard_error: 0.007017549999821875
submission_type: basic
model_repo: junhua024/chai_1-full_06611
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': 0.5996906782618134, 'latency_mean': 1.667417834997177, 'latency_p50': 1.6577168703079224, 'latency_p90': 1.843018937110901}, {'batch_size': 3, 'throughput': 1.078100899534809, 'latency_mean': 2.775821852684021, 'latency_p50': 2.799552083015442, 'latency_p90': 3.0429238080978394}, {'batch_size': 5, 'throughput': 1.3102877954287038, 'latency_mean': 3.7969648098945616, 'latency_p50': 3.7677879333496094, 'latency_p90': 4.28176486492157}, {'batch_size': 6, 'throughput': 1.3579052270694496, 'latency_mean': 4.389040035009384, 'latency_p50': 4.414976477622986, 'latency_p90': 4.8323221683502195}, {'batch_size': 8, 'throughput': 1.4324758009651448, 'latency_mean': 5.5650326907634735, 'latency_p50': 5.549706935882568, 'latency_p90': 6.2382855892181395}, {'batch_size': 10, 'throughput': 1.4554737330418694, 'latency_mean': 6.82870880484581, 'latency_p50': 6.843154191970825, 'latency_p90': 7.702255439758301}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-06611_v3
is_internal_developer: False
language_model: junhua024/chai_1-full_06611
model_size: 13B
ranking_group: single
throughput_3p7s: 1.3
us_pacific_date: 2025-06-29
win_ratio: 0.48105170387779084
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.2, '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': '<|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-06611-v3-mkmlizer
Waiting for job on junhua024-chai-1-full-06611-v3-mkmlizer to finish
junhua024-chai-1-full-06611-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-06611-v3-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-06611-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-06611-v3-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-06611-v3-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-06611-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-06611-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-06611-v3-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-06611-v3-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-06611-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-06611-v3-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-06611-v3-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-06611-v3-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-06611-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-06611-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-06611-v3-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-06611-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-06611-v3-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-06611-v3-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-06611-v3-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-06611-v3-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-06611-v3-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-06611-v3-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-06611-v3-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-06611-v3-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-06611-v3-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-06611-v3-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-06611-v3-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-06611-v3-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-06611-v3-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-06611-v3-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-06611-v3-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-06611-v3-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-06611-v3-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-06611-v3-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-06611-v3-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-06611-v3-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-06611-v3-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-06611-v3-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-06611-v3-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-06611-v3-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-06611-v3-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-06611-v3-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-06611-v3-mkmlizer: Downloaded to shared memory in 284.310s
junhua024-chai-1-full-06611-v3-mkmlizer: Checking if junhua024/chai_1-full_06611 already exists in ChaiML
junhua024-chai-1-full-06611-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpsskcsbmo, device:0
junhua024-chai-1-full-06611-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-06611-v3-mkmlizer: quantized model in 31.773s
junhua024-chai-1-full-06611-v3-mkmlizer: Processed model junhua024/chai_1-full_06611 in 316.170s
junhua024-chai-1-full-06611-v3-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-06611-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-06611-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-06611-v3
junhua024-chai-1-full-06611-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-06611-v3/config.json
junhua024-chai-1-full-06611-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-06611-v3/special_tokens_map.json
junhua024-chai-1-full-06611-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-06611-v3/tokenizer_config.json
junhua024-chai-1-full-06611-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-06611-v3/tokenizer.json
junhua024-chai-1-full-06611-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-06611-v3/flywheel_model.0.safetensors
junhua024-chai-1-full-06611-v3-mkmlizer: 
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Job junhua024-chai-1-full-06611-v3-mkmlizer completed after 343.03s with status: succeeded
Stopping job with name junhua024-chai-1-full-06611-v3-mkmlizer
Pipeline stage MKMLizer completed in 343.88s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-06611-v3
Waiting for inference service junhua024-chai-1-full-06611-v3 to be ready
Inference service junhua024-chai-1-full-06611-v3 ready after 191.05968284606934s
Pipeline stage MKMLDeployer completed in 191.59s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.6491615772247314s
Received healthy response to inference request in 1.6354074478149414s
Received healthy response to inference request in 1.5832319259643555s
Received healthy response to inference request in 1.5208837985992432s
Received healthy response to inference request in 2.204000473022461s
5 requests
0 failed requests
5th percentile: 1.5333534240722657
10th percentile: 1.545823049545288
20th percentile: 1.570762300491333
30th percentile: 1.5936670303344727
40th percentile: 1.614537239074707
50th percentile: 1.6354074478149414
60th percentile: 1.8628446578979492
70th percentile: 2.090281867980957
80th percentile: 2.2930326938629153
90th percentile: 2.471097135543823
95th percentile: 2.560129356384277
99th percentile: 2.6313551330566405
mean time: 1.9185370445251464
Pipeline stage StressChecker completed in 11.00s
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Creating inference service junhua024-chai-1-full-06611-v3-profiler
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Inference service junhua024-chai-1-full-06611-v3-profiler ready after 192.48921704292297s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/junhua024-chai-1-ful6c145fe3fa54452799a4a82411b95ca8-deplosvrf4:/code/chaiverse_profiler_1751218889 --namespace tenant-chaiml-guanaco
kubectl exec -it junhua024-chai-1-ful6c145fe3fa54452799a4a82411b95ca8-deplosvrf4 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1751218889 && python profiles.py profile --best_of_n 8 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1751218889/summary.json'
kubectl exec -it junhua024-chai-1-ful6c145fe3fa54452799a4a82411b95ca8-deplosvrf4 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1751218889/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1106.92s
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Checking if service junhua024-chai-1-full-06611-v3-profiler is running
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Running pipeline stage OfflineFamilyFriendlyScorer
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Pipeline stage OfflineFamilyFriendlyScorer completed in 6097.63s
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junhua024-chai-1-full-06611_v3 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-06611_v3 status is now torndown due to DeploymentManager action