junhua024-chai-1-full-066126

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066126_v31

model_name: junhua024-chai-1-full-066126_v31

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-14T13:19:43+00:00

num_battles: 11475

num_wins: 5522

celo_rating: 1274.35

family_friendly_score: 0.5492

family_friendly_standard_error: 0.007036751523252757

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': 0.5823047623839052, 'latency_mean': 1.7171376180648803, 'latency_p50': 1.7107776403427124, 'latency_p90': 1.882988452911377}, {'batch_size': 3, 'throughput': 1.0497413914004912, 'latency_mean': 2.8428041660785675, 'latency_p50': 2.849976420402527, 'latency_p90': 3.2217209339141846}, {'batch_size': 5, 'throughput': 1.2498433804823732, 'latency_mean': 3.9776037871837615, 'latency_p50': 3.981782555580139, 'latency_p90': 4.399864745140076}, {'batch_size': 6, 'throughput': 1.3115776816328222, 'latency_mean': 4.550182242393493, 'latency_p50': 4.548275947570801, 'latency_p90': 5.112165260314941}, {'batch_size': 8, 'throughput': 1.3691079219809585, 'latency_mean': 5.803849486112594, 'latency_p50': 5.806312084197998, 'latency_p90': 6.5317301750183105}, {'batch_size': 10, 'throughput': 1.3948244675622743, 'latency_mean': 7.122706916332245, 'latency_p50': 7.176233172416687, 'latency_p90': 8.029524970054625}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066126_v31

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.22

us_pacific_date: 2025-07-14

win_ratio: 0.48122004357298476

generation_params: {'temperature': 1.0, 'top_p': 0.98, '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-v31-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v31-mkmlizer to finish
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junhua024-chai-1-full-066126-v31-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v31-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v31-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v31-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v31-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v31-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v31-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v31-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v31-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v31-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v31-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v31-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v31-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v31-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v31-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v31-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-mkmlizer: Downloaded to shared memory in 73.394s
junhua024-chai-1-full-066126-v31-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v31-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpupfvwf8r, device:0
junhua024-chai-1-full-066126-v31-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v31-mkmlizer: quantized model in 30.860s
junhua024-chai-1-full-066126-v31-mkmlizer: Processed model junhua024/chai-1-full-066126 in 104.338s
junhua024-chai-1-full-066126-v31-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v31-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v31-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v31/nvidia
junhua024-chai-1-full-066126-v31-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v31/nvidia/config.json
junhua024-chai-1-full-066126-v31-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v31/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v31-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v31/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v31-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v31/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v31-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v31/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v31-mkmlizer: 
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Job junhua024-chai-1-full-066126-v31-mkmlizer completed after 127.5s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v31-mkmlizer
Pipeline stage MKMLizer completed in 128.07s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
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Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v31
Waiting for inference service junhua024-chai-1-full-066126-v31 to be ready
Inference service junhua024-chai-1-full-066126-v31 ready after 231.40959787368774s
Pipeline stage MKMLDeployer completed in 231.97s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.226961374282837s
Received healthy response to inference request in 1.9136590957641602s
Received healthy response to inference request in 1.554610013961792s
Received healthy response to inference request in 1.5692665576934814s
Received healthy response to inference request in 1.635998010635376s
5 requests
0 failed requests
5th percentile: 1.5575413227081298
10th percentile: 1.5604726314544677
20th percentile: 1.5663352489471436
30th percentile: 1.5826128482818604
40th percentile: 1.6093054294586182
50th percentile: 1.635998010635376
60th percentile: 1.7470624446868896
70th percentile: 1.8581268787384033
80th percentile: 1.9763195514678955
90th percentile: 2.101640462875366
95th percentile: 2.1643009185791016
99th percentile: 2.2144292831420898
mean time: 1.7800990104675294
Pipeline stage StressChecker completed in 11.10s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.73s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v31 status is now deployed due to DeploymentManager action
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.10s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-066126-v31-profiler
Waiting for inference service junhua024-chai-1-full-066126-v31-profiler to be ready
Shutdown handler registered
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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
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Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5596.81s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v31 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v31 status is now torndown due to DeploymentManager action