junhua024-chai-1-full-066126

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066126_v93

model_name: junhua024-chai-1-full-066126_v93

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-16T03:31:40+00:00

num_battles: 7773

num_wins: 3795

celo_rating: 1278.12

family_friendly_score: 0.5518000000000001

family_friendly_standard_error: 0.007033018697543751

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': 0.5902346254911609, 'latency_mean': 1.694061074256897, 'latency_p50': 1.6890807151794434, 'latency_p90': 1.8618648290634154}, {'batch_size': 3, 'throughput': 1.0740292239096376, 'latency_mean': 2.781331068277359, 'latency_p50': 2.7752212285995483, 'latency_p90': 3.0563137531280518}, {'batch_size': 5, 'throughput': 1.2745098043684315, 'latency_mean': 3.8979227447509768, 'latency_p50': 3.919431447982788, 'latency_p90': 4.306386399269104}, {'batch_size': 6, 'throughput': 1.3512555052603386, 'latency_mean': 4.425201299190522, 'latency_p50': 4.433110952377319, 'latency_p90': 4.988999652862549}, {'batch_size': 8, 'throughput': 1.399708366503083, 'latency_mean': 5.6686896741390225, 'latency_p50': 5.673827171325684, 'latency_p90': 6.3845994710922245}, {'batch_size': 10, 'throughput': 1.4455873004633986, 'latency_mean': 6.850392725467682, 'latency_p50': 6.862895965576172, 'latency_p90': 7.740463018417358}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066126_v93

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.26

us_pacific_date: 2025-07-15

win_ratio: 0.4882284832111154

generation_params: {'temperature': 1.0, 'top_p': 0.88, 'min_p': 0.0, 'top_k': 10, 'presence_penalty': 0.4, '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-1-full-066126-v93-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v93-mkmlizer to finish
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junhua024-chai-1-full-066126-v93-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v93-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v93-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v93-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v93-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v93-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v93-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v93-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v93-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v93-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v93-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v93-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v93-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v93-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v93-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v93-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v93-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-v93-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-v93-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-v93-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-v93-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-v93-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-v93-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-v93-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-v93-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-v93-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-v93-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-v93-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-v93-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-v93-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-v93-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-v93-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-v93-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-v93-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-v93-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-v93-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-v93-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-v93-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-v93-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-v93-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-v93-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-v93-mkmlizer: Downloaded to shared memory in 78.341s
junhua024-chai-1-full-066126-v93-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v93-mkmlizer: quantized model in 30.948s
junhua024-chai-1-full-066126-v93-mkmlizer: Processed model junhua024/chai-1-full-066126 in 109.365s
junhua024-chai-1-full-066126-v93-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v93-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v93/nvidia/config.json
junhua024-chai-1-full-066126-v93-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v93/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v93-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v93/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v93-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v93/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v93-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v93/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-1-full-066126-v93-mkmlizer completed after 139.26s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v93-mkmlizer
Pipeline stage MKMLizer completed in 139.77s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.19s
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Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v93
Waiting for inference service junhua024-chai-1-full-066126-v93 to be ready
Inference service junhua024-chai-1-full-066126-v93 ready after 271.1801006793976s
Pipeline stage MKMLDeployer completed in 272.11s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.481112003326416s
Received healthy response to inference request in 1.6983952522277832s
Received healthy response to inference request in 1.7492341995239258s
Received healthy response to inference request in 2.022764205932617s
Received healthy response to inference request in 1.5196809768676758s
5 requests
0 failed requests
5th percentile: 1.5554238319396974
10th percentile: 1.5911666870117187
20th percentile: 1.6626523971557616
30th percentile: 1.7085630416870117
40th percentile: 1.7288986206054688
50th percentile: 1.7492341995239258
60th percentile: 1.8586462020874024
70th percentile: 1.9680582046508788
80th percentile: 2.114433765411377
90th percentile: 2.2977728843688965
95th percentile: 2.3894424438476562
99th percentile: 2.462778091430664
mean time: 1.8942373275756836
Pipeline stage StressChecker completed in 10.90s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 1.00s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.14s
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Creating inference service junhua024-chai-1-full-066126-v93-profiler
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run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5341.31s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v93 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v93 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v93 status is now torndown due to DeploymentManager action