junhua024-chai-1-full-066126

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066126_v57

model_name: junhua024-chai-1-full-066126_v57

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-15T09:27:10+00:00

num_battles: 8505

num_wins: 4064

celo_rating: 1269.22

family_friendly_score: 0.5532

family_friendly_standard_error: 0.0070309282459715084

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': 0.5998039089404981, 'latency_mean': 1.6671127808094024, 'latency_p50': 1.68471360206604, 'latency_p90': 1.8324297189712524}, {'batch_size': 3, 'throughput': 1.086823978131235, 'latency_mean': 2.747502876520157, 'latency_p50': 2.7427033185958862, 'latency_p90': 2.997045612335205}, {'batch_size': 5, 'throughput': 1.3053961356305697, 'latency_mean': 3.815137801170349, 'latency_p50': 3.800551652908325, 'latency_p90': 4.394604182243347}, {'batch_size': 6, 'throughput': 1.3641906904083692, 'latency_mean': 4.383975133895874, 'latency_p50': 4.39227032661438, 'latency_p90': 4.879556941986084}, {'batch_size': 8, 'throughput': 1.4301520075589205, 'latency_mean': 5.555037106275559, 'latency_p50': 5.633308410644531, 'latency_p90': 6.227051591873169}, {'batch_size': 10, 'throughput': 1.4575548169822012, 'latency_mean': 6.80786250114441, 'latency_p50': 6.825799584388733, 'latency_p90': 7.6999955654144285}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066126_v57

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.29

us_pacific_date: 2025-07-15

win_ratio: 0.4778365667254556

generation_params: {'temperature': 1.0, 'top_p': 0.88, 'min_p': 0.0, 'top_k': 6, '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-v57-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v57-mkmlizer to finish
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junhua024-chai-1-full-066126-v57-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v57-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v57-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v57-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v57-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v57-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v57-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v57-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v57-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v57-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v57-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v57-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v57-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v57-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v57-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v57-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v57-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-v57-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-v57-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-v57-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-v57-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-v57-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-v57-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-v57-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-v57-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-v57-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-v57-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-v57-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-v57-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-v57-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-v57-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-v57-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-v57-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-v57-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-v57-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-v57-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-v57-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-v57-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-v57-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-v57-mkmlizer: Downloaded to shared memory in 79.503s
junhua024-chai-1-full-066126-v57-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v57-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp_9da0_ss, device:0
junhua024-chai-1-full-066126-v57-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v57-mkmlizer: quantized model in 31.555s
junhua024-chai-1-full-066126-v57-mkmlizer: Processed model junhua024/chai-1-full-066126 in 111.153s
junhua024-chai-1-full-066126-v57-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v57-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v57-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v57/nvidia
junhua024-chai-1-full-066126-v57-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v57/nvidia/config.json
junhua024-chai-1-full-066126-v57-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v57/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v57-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v57/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v57-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v57/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v57-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v57/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-1-full-066126-v57-mkmlizer completed after 138.61s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v57-mkmlizer
Pipeline stage MKMLizer completed in 139.14s
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-066126-v57
Waiting for inference service junhua024-chai-1-full-066126-v57 to be ready
Inference service junhua024-chai-1-full-066126-v57 ready after 241.49097299575806s
Pipeline stage MKMLDeployer completed in 242.08s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.8420891761779785s
Received healthy response to inference request in 1.5510358810424805s
Received healthy response to inference request in 2.1528210639953613s
Received healthy response to inference request in 1.881507158279419s
Received healthy response to inference request in 1.7057642936706543s
5 requests
0 failed requests
5th percentile: 1.5819815635681151
10th percentile: 1.61292724609375
20th percentile: 1.6748186111450196
30th percentile: 1.7409128665924072
40th percentile: 1.8112100124359132
50th percentile: 1.881507158279419
60th percentile: 1.990032720565796
70th percentile: 2.098558282852173
80th percentile: 2.2906746864318848
90th percentile: 2.5663819313049316
95th percentile: 2.704235553741455
99th percentile: 2.814518451690674
mean time: 2.0266435146331787
Pipeline stage StressChecker completed in 11.68s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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starting trigger_guanaco_pipeline args=%s
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.77s
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Running pipeline stage TriggerMKMLProfilingPipeline
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starting trigger_guanaco_pipeline args=%s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.94s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v57 status is now deployed due to DeploymentManager action
Shutdown handler registered
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run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-066126-v57-profiler
Waiting for inference service junhua024-chai-1-full-066126-v57-profiler to be ready
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 5678.86s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v57 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v57 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v57 status is now torndown due to DeploymentManager action