junhua024-chai-02-full-_34151

developer_uid: junhua024
submission_id: junhua024-chai-02-full-_34151_v1
model_name: junhua024-chai-02-full-_34151_v1
model_group: junhua024/chai_02_full_q
status: torndown
timestamp: 2025-07-24T16:11:43+00:00
num_battles: 7778
num_wins: 4050
celo_rating: 1290.87
family_friendly_score: 0.4252
family_friendly_standard_error: 0.006991494260885866
submission_type: basic
model_repo: junhua024/chai_02_full_qkv100_o106_ffn106_1925
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5224691347321212, 'latency_mean': 1.9138736236095428, 'latency_p50': 1.8969311714172363, 'latency_p90': 2.104843759536743}, {'batch_size': 2, 'throughput': 0.6890265040996402, 'latency_mean': 2.897499850988388, 'latency_p50': 2.915333867073059, 'latency_p90': 3.095074415206909}, {'batch_size': 3, 'throughput': 0.7803086306800922, 'latency_mean': 3.8373950362205504, 'latency_p50': 3.843136429786682, 'latency_p90': 4.290063786506653}, {'batch_size': 4, 'throughput': 0.8369390982778705, 'latency_mean': 4.76176881313324, 'latency_p50': 4.790759444236755, 'latency_p90': 5.357156157493591}, {'batch_size': 5, 'throughput': 0.8690404320193678, 'latency_mean': 5.737820916175842, 'latency_p50': 5.708247542381287, 'latency_p90': 6.444874477386474}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full-_34151_v1
is_internal_developer: False
language_model: junhua024/chai_02_full_qkv100_o106_ffn106_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 0.77
us_pacific_date: 2025-07-24
win_ratio: 0.5206994085883261
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{memory} You are an empathetic conversational AI. You understand the user's feelings and respond with warmth, compassion, and sincerity.", '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-02-full-34151-v1-mkmlizer
Waiting for job on junhua024-chai-02-full-34151-v1-mkmlizer to finish
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junhua024-chai-02-full-34151-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-34151-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-34151-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-34151-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-34151-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-34151-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-34151-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-34151-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-34151-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-34151-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-34151-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-34151-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-34151-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-34151-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-34151-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-34151-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-34151-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-02-full-34151-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-02-full-34151-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-02-full-34151-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-02-full-34151-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-02-full-34151-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-02-full-34151-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-02-full-34151-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-02-full-34151-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-02-full-34151-v1-mkmlizer: Downloaded to shared memory in 120.874s
junhua024-chai-02-full-34151-v1-mkmlizer: Checking if junhua024/chai_02_full_qkv100_o106_ffn106_1925 already exists in ChaiML
junhua024-chai-02-full-34151-v1-mkmlizer: Creating repo ChaiML/chai_02_full_qkv100_o106_ffn106_1925 and uploading /tmp/tmpp9oqvwio to it
junhua024-chai-02-full-34151-v1-mkmlizer: 
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junhua024-chai-02-full-34151-v1-mkmlizer: quantized model in 195.324s
junhua024-chai-02-full-34151-v1-mkmlizer: Processed model junhua024/chai_02_full_qkv100_o106_ffn106_1925 in 426.703s
junhua024-chai-02-full-34151-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-34151-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-34151-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-34151-v1/nvidia
junhua024-chai-02-full-34151-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-34151-v1/nvidia/tokenizer.json
junhua024-chai-02-full-34151-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-34151-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-02-full-34151-v1-mkmlizer completed after 460.03s with status: succeeded
Stopping job with name junhua024-chai-02-full-34151-v1-mkmlizer
Pipeline stage MKMLizer completed in 460.52s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-02-full-34151-v1
Waiting for inference service junhua024-chai-02-full-34151-v1 to be ready
Failed to get response for submission chaiml-next-door-annoyi_15417_v1: ('http://chaiml-next-door-annoyi-15417-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Inference service junhua024-chai-02-full-34151-v1 ready after 180.67543077468872s
Pipeline stage MKMLDeployer completed in 181.36s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.340362548828125s
Received healthy response to inference request in 1.5281987190246582s
Received healthy response to inference request in 1.7516393661499023s
Received healthy response to inference request in 1.8857660293579102s
Received healthy response to inference request in 1.4048106670379639s
5 requests
0 failed requests
5th percentile: 1.4294882774353028
10th percentile: 1.4541658878326416
20th percentile: 1.5035211086273192
30th percentile: 1.572886848449707
40th percentile: 1.6622631072998046
50th percentile: 1.7516393661499023
60th percentile: 1.8052900314331055
70th percentile: 1.8589406967163087
80th percentile: 1.9766853332519532
90th percentile: 2.158523941040039
95th percentile: 2.2494432449340818
99th percentile: 2.3221786880493163
mean time: 1.7821554660797119
Pipeline stage StressChecker completed in 10.19s
run pipeline stage %s
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 1.00s
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 0.96s
Shutdown handler de-registered
junhua024-chai-02-full-_34151_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 0.17s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-02-full-34151-v1-profiler
Waiting for inference service junhua024-chai-02-full-34151-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 6318.43s
Shutdown handler de-registered
junhua024-chai-02-full-_34151_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full-_34151_v1 status is now torndown due to DeploymentManager action