junhua024-chai-16-full-_69709

developer_uid: junhua024

submission_id: junhua024-chai-16-full-_69709_v5

model_name: junhua024-chai-16-full-_69709_v5

model_group: junhua024/chai_16_full_1

status: torndown

timestamp: 2025-07-19T18:01:47+00:00

num_battles: 7749

num_wins: 3850

celo_rating: 1271.89

family_friendly_score: 0.5568

family_friendly_standard_error: 0.007025293730514049

submission_type: basic

model_repo: junhua024/chai_16_full_104_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': 0.5855892558029293, 'latency_mean': 1.707525007724762, 'latency_p50': 1.721086025238037, 'latency_p90': 1.8796394109725951}, {'batch_size': 3, 'throughput': 1.0562911186418262, 'latency_mean': 2.8358469688892365, 'latency_p50': 2.8323532342910767, 'latency_p90': 3.130146884918213}, {'batch_size': 5, 'throughput': 1.2556157189586543, 'latency_mean': 3.96677219748497, 'latency_p50': 3.9612752199172974, 'latency_p90': 4.428028392791748}, {'batch_size': 6, 'throughput': 1.3087497529090903, 'latency_mean': 4.563975268602372, 'latency_p50': 4.576483726501465, 'latency_p90': 5.178161263465881}, {'batch_size': 8, 'throughput': 1.3646291478231936, 'latency_mean': 5.827657092809677, 'latency_p50': 5.862184166908264, 'latency_p90': 6.607947778701782}, {'batch_size': 10, 'throughput': 1.3934406390128027, 'latency_mean': 7.1080568206310275, 'latency_p50': 7.091041088104248, 'latency_p90': 8.089814233779906}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-16-full-_69709_v5

is_internal_developer: False

language_model: junhua024/chai_16_full_104_o_ffn_1925

model_size: 13B

ranking_group: single

throughput_3p7s: 1.22

us_pacific_date: 2025-07-19

win_ratio: 0.4968383017163505

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-69709-v5-mkmlizer
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junhua024-chai-16-full-69709-v5-mkmlizer: ║                                                                     ║
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junhua024-chai-16-full-69709-v5-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-16-full-69709-v5-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-69709-v5-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-16-full-69709-v5-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-16-full-69709-v5-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-16-full-69709-v5-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-16-full-69709-v5-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-69709-v5-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-16-full-69709-v5-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-16-full-69709-v5-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-69709-v5-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-16-full-69709-v5-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-16-full-69709-v5-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-16-full-69709-v5-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-69709-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-16-full-69709-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-69709-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-69709-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-69709-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-69709-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-69709-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-69709-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-69709-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-69709-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-69709-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-69709-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-69709-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-69709-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-69709-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-69709-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-69709-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-69709-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-69709-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-69709-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-69709-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-69709-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-69709-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-69709-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-69709-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-_74386_v1: HTTPConnectionPool(host='junhua024-chai-16-full-74386-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-16-full-69709-v5-mkmlizer: Downloaded to shared memory in 76.338s
junhua024-chai-16-full-69709-v5-mkmlizer: Checking if junhua024/chai_16_full_104_o_ffn_1925 already exists in ChaiML
junhua024-chai-16-full-69709-v5-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp2ajl58ki, device:0
junhua024-chai-16-full-69709-v5-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-69709-v5-mkmlizer: quantized model in 32.440s
junhua024-chai-16-full-69709-v5-mkmlizer: Processed model junhua024/chai_16_full_104_o_ffn_1925 in 108.869s
junhua024-chai-16-full-69709-v5-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-16-full-69709-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-16-full-69709-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-16-full-69709-v5/nvidia
junhua024-chai-16-full-69709-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-16-full-69709-v5/nvidia/config.json
junhua024-chai-16-full-69709-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-16-full-69709-v5/nvidia/special_tokens_map.json
junhua024-chai-16-full-69709-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-16-full-69709-v5/nvidia/tokenizer_config.json
junhua024-chai-16-full-69709-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-16-full-69709-v5/nvidia/tokenizer.json
junhua024-chai-16-full-69709-v5-mkmlizer: 
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Job junhua024-chai-16-full-69709-v5-mkmlizer completed after 138.59s with status: succeeded
Stopping job with name junhua024-chai-16-full-69709-v5-mkmlizer
Pipeline stage MKMLizer completed in 139.15s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-16-full-69709-v5
Waiting for inference service junhua024-chai-16-full-69709-v5 to be ready
Failed to get response for submission junhua024-chai-16-full-_74386_v3: HTTPConnectionPool(host='junhua024-chai-16-full-74386-v3-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-69709-v5 ready after 331.77354621887207s
Pipeline stage MKMLDeployer completed in 332.54s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4803411960601807s
Received healthy response to inference request in 1.8102245330810547s
Received healthy response to inference request in 1.8214139938354492s
Received healthy response to inference request in 1.5021781921386719s
Received healthy response to inference request in 1.5389697551727295s
5 requests
0 failed requests
5th percentile: 1.5095365047454834
10th percentile: 1.516894817352295
20th percentile: 1.531611442565918
30th percentile: 1.5932207107543945
40th percentile: 1.7017226219177246
50th percentile: 1.8102245330810547
60th percentile: 1.8147003173828125
70th percentile: 1.8191761016845702
80th percentile: 1.9531994342803956
90th percentile: 2.216770315170288
95th percentile: 2.348555755615234
99th percentile: 2.4539841079711913
mean time: 1.8306255340576172
Pipeline stage StressChecker completed in 10.70s
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 0.75s
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 0.72s
Shutdown handler de-registered
junhua024-chai-16-full-_69709_v5 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 3200.99s
Shutdown handler de-registered
junhua024-chai-16-full-_69709_v5 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-16-full-_69709_v5 status is now torndown due to DeploymentManager action