junhua024-chai-1-full-066126

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066126_v42

model_name: junhua024-chai-1-full-066126_v42

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-15T05:06:59+00:00

num_battles: 8639

num_wins: 4182

celo_rating: 1275.02

family_friendly_score: 0.5536

family_friendly_standard_error: 0.00703032061857779

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': 0.5835161000575109, 'latency_mean': 1.7135698235034942, 'latency_p50': 1.7130602598190308, 'latency_p90': 1.8935672283172607}, {'batch_size': 3, 'throughput': 1.044268222582924, 'latency_mean': 2.86813227891922, 'latency_p50': 2.8374449014663696, 'latency_p90': 3.1367146015167235}, {'batch_size': 5, 'throughput': 1.244180798748064, 'latency_mean': 3.9989459133148193, 'latency_p50': 3.9829723834991455, 'latency_p90': 4.538522338867187}, {'batch_size': 6, 'throughput': 1.30016523021996, 'latency_mean': 4.58458071231842, 'latency_p50': 4.600218415260315, 'latency_p90': 5.133344554901123}, {'batch_size': 8, 'throughput': 1.3638170746284963, 'latency_mean': 5.815611695051193, 'latency_p50': 5.7772440910339355, 'latency_p90': 6.51695294380188}, {'batch_size': 10, 'throughput': 1.3932291413645246, 'latency_mean': 7.13475154876709, 'latency_p50': 7.1113117933273315, 'latency_p90': 8.147059416770935}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066126_v42

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.21

us_pacific_date: 2025-07-14

win_ratio: 0.4840838059960644

generation_params: {'temperature': 1.0, 'top_p': 0.9, '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-v42-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v42-mkmlizer to finish
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junhua024-chai-1-full-066126-v42-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v42-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v42-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v42-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v42-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v42-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v42-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v42-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v42-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v42-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v42-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v42-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v42-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v42-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v42-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v42-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v42-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-v42-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-v42-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-v42-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-v42-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-v42-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-v42-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-v42-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-v42-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-v42-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-v42-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-v42-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-v42-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-v42-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-v42-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-v42-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-v42-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-v42-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-v42-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-v42-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-v42-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-v42-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-v42-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-v42-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-v42-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-v42-mkmlizer: quantized model in 31.358s
junhua024-chai-1-full-066126-v42-mkmlizer: Processed model junhua024/chai-1-full-066126 in 110.556s
junhua024-chai-1-full-066126-v42-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v42-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v42-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v42/nvidia
junhua024-chai-1-full-066126-v42-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v42/nvidia/config.json
junhua024-chai-1-full-066126-v42-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v42/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v42-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v42/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v42-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v42/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v42-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v42/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v42-mkmlizer: 
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Job junhua024-chai-1-full-066126-v42-mkmlizer completed after 139.03s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v42-mkmlizer
Pipeline stage MKMLizer completed in 139.62s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v42
Waiting for inference service junhua024-chai-1-full-066126-v42 to be ready
Inference service junhua024-chai-1-full-066126-v42 ready after 231.0599045753479s
Pipeline stage MKMLDeployer completed in 231.71s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4872987270355225s
Received healthy response to inference request in 1.6053590774536133s
Received healthy response to inference request in 1.5106160640716553s
Received healthy response to inference request in 1.723482370376587s
Received healthy response to inference request in 1.6743755340576172s
5 requests
0 failed requests
5th percentile: 1.529564666748047
10th percentile: 1.5485132694244386
20th percentile: 1.5864104747772216
30th percentile: 1.619162368774414
40th percentile: 1.6467689514160155
50th percentile: 1.6743755340576172
60th percentile: 1.694018268585205
70th percentile: 1.713661003112793
80th percentile: 1.8762456417083742
90th percentile: 2.1817721843719484
95th percentile: 2.334535455703735
99th percentile: 2.456746072769165
mean time: 1.800226354598999
Pipeline stage StressChecker completed in 10.68s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.73s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.68s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v42 status is now deployed due to DeploymentManager action
Shutdown handler registered
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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 3759.77s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v42 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v42 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v42 status is now torndown due to DeploymentManager action