junhua024-chai-16-full-_69709

developer_uid: junhua024
submission_id: junhua024-chai-16-full-_69709_v4
model_name: junhua024-chai-16-full-_69709_v4
model_group: junhua024/chai_16_full_1
status: torndown
timestamp: 2025-07-19T16:43:50+00:00
num_battles: 6411
num_wins: 3469
celo_rating: 1277.18
family_friendly_score: 0.5558000000000001
family_friendly_standard_error: 0.0070268963276826565
submission_type: basic
model_repo: junhua024/chai_16_full_104_o_ffn_1925
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': 0.5985898892294361, 'latency_mean': 1.670490585565567, 'latency_p50': 1.661091685295105, 'latency_p90': 1.8388809442520142}, {'batch_size': 3, 'throughput': 1.0820968052790856, 'latency_mean': 2.760433475971222, 'latency_p50': 2.7681450843811035, 'latency_p90': 3.0274512290954587}, {'batch_size': 5, 'throughput': 1.3015065699162345, 'latency_mean': 3.816929792165756, 'latency_p50': 3.8348885774612427, 'latency_p90': 4.148968172073364}, {'batch_size': 6, 'throughput': 1.3849472886454177, 'latency_mean': 4.313819032907486, 'latency_p50': 4.306576251983643, 'latency_p90': 4.83665714263916}, {'batch_size': 8, 'throughput': 1.4395314861629882, 'latency_mean': 5.509282522201538, 'latency_p50': 5.481781244277954, 'latency_p90': 6.183295655250549}, {'batch_size': 10, 'throughput': 1.4679512233833911, 'latency_mean': 6.767300760746002, 'latency_p50': 6.80376136302948, 'latency_p90': 7.647982811927795}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-16-full-_69709_v4
is_internal_developer: False
language_model: junhua024/chai_16_full_104_o_ffn_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.29
us_pacific_date: 2025-07-19
win_ratio: 0.5411012322570582
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-16-full-69709-v4-mkmlizer
Waiting for job on junhua024-chai-16-full-69709-v4-mkmlizer to finish
junhua024-chai-16-full-69709-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-16-full-69709-v4-mkmlizer: ║                                                                     ║
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junhua024-chai-16-full-69709-v4-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-16-full-69709-v4-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-69709-v4-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-16-full-69709-v4-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-16-full-69709-v4-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-16-full-69709-v4-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-16-full-69709-v4-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-69709-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-16-full-69709-v4-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-16-full-69709-v4-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-69709-v4-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-16-full-69709-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-16-full-69709-v4-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-16-full-69709-v4-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-69709-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-16-full-69709-v4-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-16-full-69709-v4-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-16-full-69709-v4-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-16-full-69709-v4-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-16-full-69709-v4-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-16-full-69709-v4-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-16-full-69709-v4-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`
Failed to get response for submission chaiml-nis-qwen32b-sim_98336_v34: HTTPConnectionPool(host='chaiml-nis-qwen32b-sim-98336-v34-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-16-full-69709-v4-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-16-full-69709-v4-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-16-full-69709-v4-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-16-full-69709-v4-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-16-full-69709-v4-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-16-full-69709-v4-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-16-full-69709-v4-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-16-full-69709-v4-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-16-full-69709-v4-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-16-full-69709-v4-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-16-full-69709-v4-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-16-full-69709-v4-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-16-full-69709-v4-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-16-full-69709-v4-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-16-full-69709-v4-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-16-full-69709-v4-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-16-full-69709-v4-mkmlizer: Downloaded to shared memory in 79.094s
junhua024-chai-16-full-69709-v4-mkmlizer: Checking if junhua024/chai_16_full_104_o_ffn_1925 already exists in ChaiML
junhua024-chai-16-full-69709-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpfdfv9tg4, device:0
junhua024-chai-16-full-69709-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-16-full-69709-v4-mkmlizer: quantized model in 31.345s
junhua024-chai-16-full-69709-v4-mkmlizer: Processed model junhua024/chai_16_full_104_o_ffn_1925 in 110.525s
junhua024-chai-16-full-69709-v4-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-16-full-69709-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-16-full-69709-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-16-full-69709-v4/nvidia
junhua024-chai-16-full-69709-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-16-full-69709-v4/nvidia/config.json
junhua024-chai-16-full-69709-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-16-full-69709-v4/nvidia/special_tokens_map.json
junhua024-chai-16-full-69709-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-16-full-69709-v4/nvidia/tokenizer_config.json
junhua024-chai-16-full-69709-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-16-full-69709-v4/nvidia/tokenizer.json
junhua024-chai-16-full-69709-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-16-full-69709-v4/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-16-full-69709-v4-mkmlizer completed after 138.71s with status: succeeded
Stopping job with name junhua024-chai-16-full-69709-v4-mkmlizer
Pipeline stage MKMLizer completed in 139.23s
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-16-full-69709-v4
Waiting for inference service junhua024-chai-16-full-69709-v4 to be ready
Failed to get response for submission junhua024-chai-16-full-_74386_v1: HTTPConnectionPool(host='junhua024-chai-16-full-74386-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-16-full-_74386_v4: HTTPConnectionPool(host='junhua024-chai-16-full-74386-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-nis-qwen32b-sim_98336_v34: HTTPConnectionPool(host='chaiml-nis-qwen32b-sim-98336-v34-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-16-full-_74386_v2: HTTPConnectionPool(host='junhua024-chai-16-full-74386-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-16-full-69709-v4 ready after 331.386337518692s
Pipeline stage MKMLDeployer completed in 332.50s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.6547625064849854s
Received healthy response to inference request in 2.285365104675293s
Received healthy response to inference request in 1.6500999927520752s
Received healthy response to inference request in 1.8887648582458496s
Received healthy response to inference request in 2.3910000324249268s
5 requests
0 failed requests
5th percentile: 1.69783296585083
10th percentile: 1.745565938949585
20th percentile: 1.8410318851470948
30th percentile: 1.9680849075317384
40th percentile: 2.1267250061035154
50th percentile: 2.285365104675293
60th percentile: 2.3276190757751465
70th percentile: 2.369873046875
80th percentile: 2.4437525272369385
90th percentile: 2.549257516860962
95th percentile: 2.6020100116729736
99th percentile: 2.644212007522583
mean time: 2.173998498916626
Pipeline stage StressChecker completed in 12.20s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.96s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.99s
Shutdown handler de-registered
junhua024-chai-16-full-_69709_v4 status is now deployed due to DeploymentManager action
Failed to get response for submission junhua024-chai-16-full-_74386_v3: HTTPConnectionPool(host='junhua024-chai-16-full-74386-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
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 0.17s
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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-16-full-69709-v4-profiler
Waiting for inference service junhua024-chai-16-full-69709-v4-profiler to be ready
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2777.36s
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junhua024-chai-16-full-_69709_v4 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-16-full-_69709_v4 status is now torndown due to DeploymentManager action