junhua024-chai-1-full-061

developer_uid: junhua024
submission_id: junhua024-chai-1-full-061_v1
model_name: junhua024-chai-1-full-061_v1
model_group: junhua024/chai_1-full_06
status: torndown
timestamp: 2025-06-29T08:19:25+00:00
num_battles: 8424
num_wins: 3884
celo_rating: 1249.14
family_friendly_score: 0.6056
family_friendly_standard_error: 0.006911564801114144
submission_type: basic
model_repo: junhua024/chai_1-full_061
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': 0.5955044492962535, 'latency_mean': 1.6790721237659454, 'latency_p50': 1.6718802452087402, 'latency_p90': 1.8544918060302733}, {'batch_size': 3, 'throughput': 1.0657568909897588, 'latency_mean': 2.8067062854766847, 'latency_p50': 2.7935086488723755, 'latency_p90': 3.109653806686401}, {'batch_size': 5, 'throughput': 1.2596624559529257, 'latency_mean': 3.9520634162425994, 'latency_p50': 3.9554967880249023, 'latency_p90': 4.405399584770202}, {'batch_size': 6, 'throughput': 1.3317624713103622, 'latency_mean': 4.471357295513153, 'latency_p50': 4.500106334686279, 'latency_p90': 5.108587527275085}, {'batch_size': 8, 'throughput': 1.3867100189876898, 'latency_mean': 5.724290295839309, 'latency_p50': 5.674058556556702, 'latency_p90': 6.390106415748596}, {'batch_size': 10, 'throughput': 1.4112411028816325, 'latency_mean': 7.018378106355667, 'latency_p50': 7.010680198669434, 'latency_p90': 7.9523197412490845}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-061_v1
is_internal_developer: False
language_model: junhua024/chai_1-full_061
model_size: 13B
ranking_group: single
throughput_3p7s: 1.23
us_pacific_date: 2025-06-29
win_ratio: 0.4610636277302944
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, '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': "{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-061-v1-mkmlizer
Waiting for job on junhua024-chai-1-full-061-v1-mkmlizer to finish
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junhua024-chai-1-full-061-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-061-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-061-v1-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-061-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-061-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-061-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-061-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-061-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-061-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-061-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-061-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-061-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-061-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-061-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-061-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-mkmlizer: Downloaded to shared memory in 122.461s
junhua024-chai-1-full-061-v1-mkmlizer: Checking if junhua024/chai_1-full_061 already exists in ChaiML
junhua024-chai-1-full-061-v1-mkmlizer: Creating repo ChaiML/chai_1-full_061 and uploading /tmp/tmpmdk_37jd to it
junhua024-chai-1-full-061-v1-mkmlizer: 
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junhua024-chai-1-full-061-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpmdk_37jd, device:0
junhua024-chai-1-full-061-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-061-v1-mkmlizer: quantized model in 30.825s
junhua024-chai-1-full-061-v1-mkmlizer: Processed model junhua024/chai_1-full_061 in 229.042s
junhua024-chai-1-full-061-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-061-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-061-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-061-v1
junhua024-chai-1-full-061-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-061-v1/config.json
junhua024-chai-1-full-061-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-061-v1/special_tokens_map.json
junhua024-chai-1-full-061-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-061-v1/tokenizer_config.json
junhua024-chai-1-full-061-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-061-v1/tokenizer.json
junhua024-chai-1-full-061-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-061-v1/flywheel_model.0.safetensors
junhua024-chai-1-full-061-v1-mkmlizer: 
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Job junhua024-chai-1-full-061-v1-mkmlizer completed after 260.22s with status: succeeded
Stopping job with name junhua024-chai-1-full-061-v1-mkmlizer
Pipeline stage MKMLizer completed in 260.77s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-061-v1
Waiting for inference service junhua024-chai-1-full-061-v1 to be ready
Inference service junhua024-chai-1-full-061-v1 ready after 180.79730534553528s
Pipeline stage MKMLDeployer completed in 181.69s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.572050094604492s
Received healthy response to inference request in 1.675476312637329s
Received healthy response to inference request in 1.6136953830718994s
Received healthy response to inference request in 2.088866949081421s
Received healthy response to inference request in 2.189730644226074s
5 requests
0 failed requests
5th percentile: 1.6260515689849853
10th percentile: 1.6384077548980713
20th percentile: 1.6631201267242433
30th percentile: 1.7581544399261475
40th percentile: 1.9235106945037843
50th percentile: 2.088866949081421
60th percentile: 2.129212427139282
70th percentile: 2.1695579051971436
80th percentile: 2.266194534301758
90th percentile: 2.419122314453125
95th percentile: 2.4955862045288084
99th percentile: 2.5567573165893553
mean time: 2.027963876724243
Pipeline stage StressChecker completed in 11.79s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.72s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 0.75s
Shutdown handler de-registered
junhua024-chai-1-full-061_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
Shutdown handler registered
run pipeline %s
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 5576.16s
Shutdown handler de-registered
junhua024-chai-1-full-061_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-061_v1 status is now torndown due to DeploymentManager action