junhua024-chai-16-full-12_429

developer_uid: junhua024
submission_id: junhua024-chai-16-full-12_429_v1
model_name: junhua024-chai-16-full-12_429_v1
model_group: junhua024/chai_16_full_1
status: torndown
timestamp: 2025-07-19T21:13:47+00:00
num_battles: 7538
num_wins: 3696
celo_rating: 1276.44
family_friendly_score: 0.5628
family_friendly_standard_error: 0.007015071774401171
submission_type: basic
model_repo: junhua024/chai_16_full_12_o_ffn_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': 0.6001882640097541, 'latency_mean': 1.6659760248661042, 'latency_p50': 1.6533416509628296, 'latency_p90': 1.8353780031204223}, {'batch_size': 3, 'throughput': 1.0831138931003812, 'latency_mean': 2.759193241596222, 'latency_p50': 2.7558685541152954, 'latency_p90': 3.0483985424041746}, {'batch_size': 5, 'throughput': 1.292184535538224, 'latency_mean': 3.849486629962921, 'latency_p50': 3.8524564504623413, 'latency_p90': 4.348200011253357}, {'batch_size': 6, 'throughput': 1.3563817173436432, 'latency_mean': 4.392602005004883, 'latency_p50': 4.366622567176819, 'latency_p90': 4.948604226112366}, {'batch_size': 8, 'throughput': 1.4046666257454041, 'latency_mean': 5.644800565242767, 'latency_p50': 5.661421418190002, 'latency_p90': 6.397628974914551}, {'batch_size': 10, 'throughput': 1.4433685587754315, 'latency_mean': 6.879637744426727, 'latency_p50': 6.925849676132202, 'latency_p90': 7.665328788757324}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-16-full-12_429_v1
is_internal_developer: False
language_model: junhua024/chai_16_full_12_o_ffn_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.28
us_pacific_date: 2025-07-19
win_ratio: 0.49031573361634384
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-12-429-v1-mkmlizer
Waiting for job on junhua024-chai-16-full-12-429-v1-mkmlizer to finish
junhua024-chai-16-full-12-429-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-16-full-12-429-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-16-full-12-429-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-16-full-12-429-v1-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-12-429-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-16-full-12-429-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-16-full-12-429-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-16-full-12-429-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-16-full-12-429-v1-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-12-429-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-16-full-12-429-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-16-full-12-429-v1-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-12-429-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-16-full-12-429-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-16-full-12-429-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-16-full-12-429-v1-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-12-429-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-16-full-12-429-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-16-full-12-429-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-16-full-12-429-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-16-full-12-429-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-16-full-12-429-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-16-full-12-429-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-16-full-12-429-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-16-full-12-429-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-16-full-12-429-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-16-full-12-429-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-16-full-12-429-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-16-full-12-429-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-16-full-12-429-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-16-full-12-429-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-16-full-12-429-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-16-full-12-429-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-16-full-12-429-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-16-full-12-429-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-16-full-12-429-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-16-full-12-429-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-16-full-12-429-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-16-full-12-429-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-16-full-12-429-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-16-full-12-429-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-16-full-12-429-v1-mkmlizer: Downloaded to shared memory in 174.752s
junhua024-chai-16-full-12-429-v1-mkmlizer: Checking if junhua024/chai_16_full_12_o_ffn_1925 already exists in ChaiML
junhua024-chai-16-full-12-429-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp5cn2j4j6, device:0
junhua024-chai-16-full-12-429-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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-12-429-v1-mkmlizer: quantized model in 31.491s
junhua024-chai-16-full-12-429-v1-mkmlizer: Processed model junhua024/chai_16_full_12_o_ffn_1925 in 206.323s
junhua024-chai-16-full-12-429-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-16-full-12-429-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-16-full-12-429-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-16-full-12-429-v1/nvidia
junhua024-chai-16-full-12-429-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-16-full-12-429-v1/nvidia/config.json
junhua024-chai-16-full-12-429-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-16-full-12-429-v1/nvidia/special_tokens_map.json
junhua024-chai-16-full-12-429-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-16-full-12-429-v1/nvidia/tokenizer_config.json
junhua024-chai-16-full-12-429-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-16-full-12-429-v1/nvidia/tokenizer.json
junhua024-chai-16-full-12-429-v1-mkmlizer: 
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Job junhua024-chai-16-full-12-429-v1-mkmlizer completed after 233.48s with status: succeeded
Stopping job with name junhua024-chai-16-full-12-429-v1-mkmlizer
Pipeline stage MKMLizer completed in 233.99s
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-16-full-12-429-v1
Waiting for inference service junhua024-chai-16-full-12-429-v1 to be ready
Failed to get response for submission junhua024-chai-16-full-_63041_v1: HTTPConnectionPool(host='junhua024-chai-16-full-63041-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Max retries exceeded with url: /v1/models/GPT-J-6B-lit-v2:predict (Caused by ConnectTimeoutError(<urllib3.connection.HTTPConnection object at 0x7adc1913af90>, 'Connection to junhua024-chai-16-full-63041-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com timed out. (connect 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-12-429-v1 ready after 331.3657205104828s
Pipeline stage MKMLDeployer completed in 331.82s
run pipeline stage %s
Running pipeline stage StressChecker
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)
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 2.3708362579345703s
Received healthy response to inference request in 1.5462560653686523s
Received healthy response to inference request in 1.7243778705596924s
Received healthy response to inference request in 1.677138328552246s
5 requests
1 failed requests
5th percentile: 1.572432518005371
10th percentile: 1.5986089706420898
20th percentile: 1.6509618759155273
30th percentile: 1.6865862369537354
40th percentile: 1.705482053756714
50th percentile: 1.7243778705596924
60th percentile: 1.9829612255096434
70th percentile: 2.241544580459595
80th percentile: 5.978687906265262
90th percentile: 13.194391202926639
95th percentile: 16.802242851257322
99th percentile: 19.688524169921873
mean time: 5.545740604400635
%s, retrying in %s seconds...
Received healthy response to inference request in 2.357253313064575s
Received healthy response to inference request in 1.7025964260101318s
Received healthy response to inference request in 1.7941944599151611s
Received healthy response to inference request in 1.5727689266204834s
Received healthy response to inference request in 1.677161693572998s
5 requests
0 failed requests
5th percentile: 1.5936474800109863
10th percentile: 1.6145260334014893
20th percentile: 1.6562831401824951
30th percentile: 1.6822486400604248
40th percentile: 1.6924225330352782
50th percentile: 1.7025964260101318
60th percentile: 1.7392356395721436
70th percentile: 1.7758748531341553
80th percentile: 1.906806230545044
90th percentile: 2.1320297718048096
95th percentile: 2.2446415424346924
99th percentile: 2.3347309589385987
mean time: 1.8207949638366698
Pipeline stage StressChecker completed in 40.02s
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 0.96s
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 0.68s
Shutdown handler de-registered
junhua024-chai-16-full-12_429_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3084.70s
Shutdown handler de-registered
junhua024-chai-16-full-12_429_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-16-full-12_429_v1 status is now torndown due to DeploymentManager action