junhua024-chai-1-full-00

developer_uid: junhua024
submission_id: junhua024-chai-1-full-00_v1
model_name: junhua024-chai-1-full-00_v1
model_group: junhua024/chai_1-full_00
status: torndown
timestamp: 2025-06-28T08:26:09+00:00
num_battles: 8080
num_wins: 3526
celo_rating: 1242.19
family_friendly_score: 0.5813999999999999
family_friendly_standard_error: 0.006976733333014814
submission_type: basic
model_repo: junhua024/chai_1-full_00
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': 0.5922590240698233, 'latency_mean': 1.6882517755031585, 'latency_p50': 1.6856439113616943, 'latency_p90': 1.842510962486267}, {'batch_size': 3, 'throughput': 1.0678375917444274, 'latency_mean': 2.794397624731064, 'latency_p50': 2.8087830543518066, 'latency_p90': 3.0914178609848024}, {'batch_size': 5, 'throughput': 1.28881464972334, 'latency_mean': 3.852069783210754, 'latency_p50': 3.8569306135177612, 'latency_p90': 4.394260025024414}, {'batch_size': 6, 'throughput': 1.3447732755154371, 'latency_mean': 4.436111876964569, 'latency_p50': 4.437075138092041, 'latency_p90': 4.984834909439087}, {'batch_size': 8, 'throughput': 1.4151502235711189, 'latency_mean': 5.617745769023895, 'latency_p50': 5.587276458740234, 'latency_p90': 6.308580589294434}, {'batch_size': 10, 'throughput': 1.4512710224891294, 'latency_mean': 6.840819751024246, 'latency_p50': 6.850713014602661, 'latency_p90': 7.703611850738525}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-00_v1
is_internal_developer: False
language_model: junhua024/chai_1-full_00
model_size: 13B
ranking_group: single
throughput_3p7s: 1.27
us_pacific_date: 2025-06-28
win_ratio: 0.4363861386138614
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-00-v1-mkmlizer
Waiting for job on junhua024-chai-1-full-00-v1-mkmlizer to finish
Retrying (%r) after connection broken by '%r': %s
junhua024-chai-1-full-00-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-00-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-00-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-00-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-00-v1-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-00-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-00-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-00-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-00-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-00-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-00-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-00-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-00-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-00-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-00-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-00-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-00-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-00-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-00-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-00-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-00-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-00-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-00-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-00-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-00-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-00-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-00-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-00-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-00-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-00-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-00-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-00-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-00-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-00-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-00-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-00-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-00-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-00-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-00-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-00-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-00-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-00-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-00-v1-mkmlizer: Downloaded to shared memory in 120.474s
junhua024-chai-1-full-00-v1-mkmlizer: Checking if junhua024/chai_1-full_00 already exists in ChaiML
junhua024-chai-1-full-00-v1-mkmlizer: Creating repo ChaiML/chai_1-full_00 and uploading /tmp/tmpo0p_np79 to it
junhua024-chai-1-full-00-v1-mkmlizer: 
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junhua024-chai-1-full-00-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpo0p_np79, device:0
junhua024-chai-1-full-00-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-00-v1-mkmlizer: quantized model in 31.332s
junhua024-chai-1-full-00-v1-mkmlizer: Processed model junhua024/chai_1-full_00 in 229.028s
junhua024-chai-1-full-00-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-00-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-00-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-00-v1
junhua024-chai-1-full-00-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-00-v1/config.json
junhua024-chai-1-full-00-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-00-v1/special_tokens_map.json
junhua024-chai-1-full-00-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-00-v1/tokenizer_config.json
junhua024-chai-1-full-00-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-00-v1/tokenizer.json
junhua024-chai-1-full-00-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-00-v1/flywheel_model.0.safetensors
junhua024-chai-1-full-00-v1-mkmlizer: 
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Job junhua024-chai-1-full-00-v1-mkmlizer completed after 250.17s with status: succeeded
Stopping job with name junhua024-chai-1-full-00-v1-mkmlizer
Pipeline stage MKMLizer completed in 250.88s
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-00-v1
Waiting for inference service junhua024-chai-1-full-00-v1 to be ready
Inference service junhua024-chai-1-full-00-v1 ready after 160.59089541435242s
Pipeline stage MKMLDeployer completed in 161.13s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.24973464012146s
Received healthy response to inference request in 1.751612663269043s
Received healthy response to inference request in 1.574129343032837s
Received healthy response to inference request in 1.5810720920562744s
Received healthy response to inference request in 1.8205163478851318s
5 requests
0 failed requests
5th percentile: 1.5755178928375244
10th percentile: 1.576906442642212
20th percentile: 1.579683542251587
30th percentile: 1.615180206298828
40th percentile: 1.6833964347839356
50th percentile: 1.751612663269043
60th percentile: 1.7791741371154786
70th percentile: 1.8067356109619142
80th percentile: 1.9063600063323975
90th percentile: 2.0780473232269285
95th percentile: 2.1638909816741942
99th percentile: 2.2325659084320066
mean time: 1.7954130172729492
Pipeline stage StressChecker completed in 10.38s
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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 0.74s
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 0.69s
Shutdown handler de-registered
junhua024-chai-1-full-00_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.14s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.13s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-00-v1-profiler
Waiting for inference service junhua024-chai-1-full-00-v1-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 4795.17s
Shutdown handler de-registered
junhua024-chai-1-full-00_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-00_v1 status is now torndown due to DeploymentManager action