junhua024-chai-16-full-_96988

developer_uid: junhua024
submission_id: junhua024-chai-16-full-_96988_v5
model_name: junhua024-chai-16-full-_96988_v5
model_group: junhua024/chai_16_full_q
status: torndown
timestamp: 2025-07-20T09:49:18+00:00
num_battles: 6633
num_wins: 3223
celo_rating: 1273.48
family_friendly_score: 0.5498000000000001
family_friendly_standard_error: 0.007035907333102107
submission_type: basic
model_repo: junhua024/chai_16_full_qkv106_o106_ffn106_1925
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': 0.5893650120137368, 'latency_mean': 1.696628270149231, 'latency_p50': 1.681788682937622, 'latency_p90': 1.8770684719085693}, {'batch_size': 3, 'throughput': 1.060302062081285, 'latency_mean': 2.8223666942119596, 'latency_p50': 2.8033043146133423, 'latency_p90': 3.162999486923218}, {'batch_size': 5, 'throughput': 1.2676070061418332, 'latency_mean': 3.933746795654297, 'latency_p50': 3.960732936859131, 'latency_p90': 4.299674057960511}, {'batch_size': 6, 'throughput': 1.321411380497297, 'latency_mean': 4.509879529476166, 'latency_p50': 4.506168246269226, 'latency_p90': 5.0607154130935665}, {'batch_size': 8, 'throughput': 1.384847459154926, 'latency_mean': 5.734474992752075, 'latency_p50': 5.724078893661499, 'latency_p90': 6.404444909095764}, {'batch_size': 10, 'throughput': 1.4192858589980992, 'latency_mean': 6.98869851231575, 'latency_p50': 6.934406161308289, 'latency_p90': 7.924089789390564}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-16-full-_96988_v5
is_internal_developer: False
language_model: junhua024/chai_16_full_qkv106_o106_ffn106_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.24
us_pacific_date: 2025-07-20
win_ratio: 0.4859038142620232
generation_params: {'temperature': 1.0, 'top_p': 0.88, '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-16-full-96988-v5-mkmlizer
Waiting for job on junhua024-chai-16-full-96988-v5-mkmlizer to finish
junhua024-chai-16-full-96988-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-16-full-96988-v5-mkmlizer: ║                                                                     ║
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junhua024-chai-16-full-96988-v5-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-16-full-96988-v5-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-96988-v5-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-16-full-96988-v5-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-16-full-96988-v5-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-16-full-96988-v5-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-16-full-96988-v5-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-96988-v5-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-16-full-96988-v5-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-16-full-96988-v5-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-96988-v5-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-16-full-96988-v5-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-16-full-96988-v5-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-16-full-96988-v5-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-96988-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-16-full-96988-v5-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-16-full-96988-v5-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-16-full-96988-v5-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-16-full-96988-v5-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-16-full-96988-v5-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-16-full-96988-v5-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-16-full-96988-v5-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-16-full-96988-v5-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-16-full-96988-v5-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-16-full-96988-v5-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`
Failed to get response for submission junhua024-chai-16-full-_96988_v4: HTTPConnectionPool(host='junhua024-chai-16-full-96988-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-nis-qwen32b-sim_98336_v34: HTTPConnectionPool(host='chaiml-nis-qwen32b-sim-98336-v34-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-16-full-96988-v5-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-16-full-96988-v5-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-16-full-96988-v5-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-16-full-96988-v5-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-16-full-96988-v5-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-16-full-96988-v5-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-16-full-96988-v5-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-16-full-96988-v5-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-16-full-96988-v5-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-16-full-96988-v5-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-16-full-96988-v5-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-16-full-96988-v5-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-16-full-96988-v5-mkmlizer: Downloaded to shared memory in 86.185s
junhua024-chai-16-full-96988-v5-mkmlizer: Checking if junhua024/chai_16_full_qkv106_o106_ffn106_1925 already exists in ChaiML
junhua024-chai-16-full-96988-v5-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp4a_6i01l, device:0
junhua024-chai-16-full-96988-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Unable to record family friendly update due to error: Invalid JSON input: JSON must contain 'User Safety' and 'Response Safety' fields
junhua024-chai-16-full-96988-v5-mkmlizer: quantized model in 33.314s
junhua024-chai-16-full-96988-v5-mkmlizer: Processed model junhua024/chai_16_full_qkv106_o106_ffn106_1925 in 119.584s
junhua024-chai-16-full-96988-v5-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-16-full-96988-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-16-full-96988-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-16-full-96988-v5/nvidia
junhua024-chai-16-full-96988-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-16-full-96988-v5/nvidia/config.json
junhua024-chai-16-full-96988-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-16-full-96988-v5/nvidia/special_tokens_map.json
junhua024-chai-16-full-96988-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-16-full-96988-v5/nvidia/tokenizer_config.json
junhua024-chai-16-full-96988-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-16-full-96988-v5/nvidia/tokenizer.json
junhua024-chai-16-full-96988-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-16-full-96988-v5/nvidia/flywheel_model.0.safetensors
junhua024-chai-16-full-96988-v5-mkmlizer: 
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Job junhua024-chai-16-full-96988-v5-mkmlizer completed after 152.14s with status: succeeded
Stopping job with name junhua024-chai-16-full-96988-v5-mkmlizer
Pipeline stage MKMLizer completed in 152.67s
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-16-full-96988-v5
Waiting for inference service junhua024-chai-16-full-96988-v5 to be ready
Failed to get response for submission junhua024-chai-16-full-_96988_v1: HTTPConnectionPool(host='junhua024-chai-16-full-96988-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-16-full-_96988_v4: HTTPConnectionPool(host='junhua024-chai-16-full-96988-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-16-full-_96988_v1: HTTPConnectionPool(host='junhua024-chai-16-full-96988-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-16-full-_94000_v4: HTTPConnectionPool(host='junhua024-chai-16-full-94000-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-16-full-_96988_v4: HTTPConnectionPool(host='junhua024-chai-16-full-96988-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-16-full-_94000_v4: HTTPConnectionPool(host='junhua024-chai-16-full-94000-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-nis-qwen32b-sim_98336_v34: HTTPConnectionPool(host='chaiml-nis-qwen32b-sim-98336-v34-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-16-full-96988-v5 ready after 331.17080998420715s
Pipeline stage MKMLDeployer completed in 331.66s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.9018709659576416s
Received healthy response to inference request in 1.4696519374847412s
Received healthy response to inference request in 1.7625563144683838s
Received healthy response to inference request in 1.7511160373687744s
Received healthy response to inference request in 1.9205896854400635s
5 requests
0 failed requests
5th percentile: 1.525944757461548
10th percentile: 1.5822375774383546
20th percentile: 1.6948232173919677
30th percentile: 1.7534040927886962
40th percentile: 1.7579802036285401
50th percentile: 1.7625563144683838
60th percentile: 1.8257696628570557
70th percentile: 1.8889830112457275
80th percentile: 2.116845941543579
90th percentile: 2.5093584537506106
95th percentile: 2.705614709854126
99th percentile: 2.8626197147369385
mean time: 1.9611569881439208
Pipeline stage StressChecker completed in 11.36s
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 1.06s
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-16-full-_96988_v5 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 4896.31s
Shutdown handler de-registered
junhua024-chai-16-full-_96988_v5 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-16-full-_96988_v5 status is now torndown due to DeploymentManager action