developer_uid: junhua024
submission_id: junhua024-chai-1-full-066126_v71
model_name: junhua024-chai-1-full-066126_v71
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-15T14:40:59+00:00
num_battles: 6494
num_wins: 3343
celo_rating: 1275.92
family_friendly_score: 0.5529999999999999
family_friendly_standard_error: 0.0070312303333058285
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': 0.5899378938245818, 'latency_mean': 1.694948250055313, 'latency_p50': 1.6883548498153687, 'latency_p90': 1.8655904293060304}, {'batch_size': 3, 'throughput': 1.0637806298395547, 'latency_mean': 2.8060869014263154, 'latency_p50': 2.8035260438919067, 'latency_p90': 3.100610065460205}, {'batch_size': 5, 'throughput': 1.2614369361110396, 'latency_mean': 3.9342599439620973, 'latency_p50': 3.9519543647766113, 'latency_p90': 4.391493415832519}, {'batch_size': 6, 'throughput': 1.3327799085731904, 'latency_mean': 4.476620630025864, 'latency_p50': 4.492934226989746, 'latency_p90': 5.091850900650025}, {'batch_size': 8, 'throughput': 1.391919096826397, 'latency_mean': 5.689331134557724, 'latency_p50': 5.6412681341171265, 'latency_p90': 6.378432273864746}, {'batch_size': 10, 'throughput': 1.4115935396558033, 'latency_mean': 7.027922552824021, 'latency_p50': 7.025476455688477, 'latency_p90': 7.92772855758667}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066126_v71
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.24
us_pacific_date: 2025-07-15
win_ratio: 0.5147828765013859
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-1-full-066126-v71-mkmlizer
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junhua024-chai-1-full-066126-v71-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v71-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v71-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v71-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v71-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v71-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v71-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v71-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v71-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v71-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v71-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v71-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v71-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v71-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v71-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v71-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-v71-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-v71-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-v71-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-v71-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-v71-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-v71-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-v71-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-v71-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-v71-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-v71-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-v71-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-v71-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-v71-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-v71-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-v71-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-v71-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-v71-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-v71-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-v71-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-v71-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-v71-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-v71-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-v71-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-v71-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-v71-mkmlizer: Downloaded to shared memory in 76.931s
junhua024-chai-1-full-066126-v71-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v71-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp9snldp00, device:0
junhua024-chai-1-full-066126-v71-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v71-mkmlizer: quantized model in 31.008s
junhua024-chai-1-full-066126-v71-mkmlizer: Processed model junhua024/chai-1-full-066126 in 108.036s
junhua024-chai-1-full-066126-v71-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v71-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v71/nvidia
junhua024-chai-1-full-066126-v71-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v71/nvidia/config.json
junhua024-chai-1-full-066126-v71-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v71/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v71-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v71/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v71-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v71/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v71-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v71/nvidia/flywheel_model.0.safetensors
Job junhua024-chai-1-full-066126-v71-mkmlizer completed after 137.85s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v71-mkmlizer
Pipeline stage MKMLizer completed in 138.41s
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Creating inference service junhua024-chai-1-full-066126-v71
Waiting for inference service junhua024-chai-1-full-066126-v71 to be ready
Inference service junhua024-chai-1-full-066126-v71 ready after 251.8211350440979s
Pipeline stage MKMLDeployer completed in 252.39s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.2622179985046387s
Received healthy response to inference request in 2.086606502532959s
Received healthy response to inference request in 1.8743314743041992s
Received healthy response to inference request in 2.1061086654663086s
Received healthy response to inference request in 1.6596875190734863s
5 requests
0 failed requests
5th percentile: 1.702616310119629
10th percentile: 1.7455451011657714
20th percentile: 1.8314026832580566
30th percentile: 1.9167864799499512
40th percentile: 2.001696491241455
50th percentile: 2.086606502532959
60th percentile: 2.0944073677062987
70th percentile: 2.1022082328796388
80th percentile: 2.1373305320739746
90th percentile: 2.1997742652893066
95th percentile: 2.2309961318969727
99th percentile: 2.2559736251831053
mean time: 1.9977904319763184
Pipeline stage StressChecker completed in 11.36s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.77s
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Pipeline stage MKMLProfilerTemplater completed in 0.11s
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Creating inference service junhua024-chai-1-full-066126-v71-profiler
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5233.80s
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junhua024-chai-1-full-066126_v71 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v71 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v71 status is now torndown due to DeploymentManager action