developer_uid: junhua024
submission_id: junhua024-chai-06-full-_33146_v2
model_name: junhua024-chai-06-full-_33146_v2
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-18T21:05:14+00:00
num_battles: 10966
num_wins: 5347
celo_rating: 1279.39
family_friendly_score: 0.552
family_friendly_standard_error: 0.007032723512267492
submission_type: basic
model_repo: junhua024/chai_06_full_02098_0106
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': 0.5959256889487329, 'latency_mean': 1.6778845334053039, 'latency_p50': 1.6762980222702026, 'latency_p90': 1.842429518699646}, {'batch_size': 3, 'throughput': 1.079244956543282, 'latency_mean': 2.7706767857074737, 'latency_p50': 2.774173617362976, 'latency_p90': 3.0534547567367554}, {'batch_size': 5, 'throughput': 1.2843871140846128, 'latency_mean': 3.869844859838486, 'latency_p50': 3.8989531993865967, 'latency_p90': 4.360359191894531}, {'batch_size': 6, 'throughput': 1.3606019044317903, 'latency_mean': 4.380419809818267, 'latency_p50': 4.377122759819031, 'latency_p90': 4.896697998046875}, {'batch_size': 8, 'throughput': 1.4214560866388775, 'latency_mean': 5.578320174217224, 'latency_p50': 5.583229303359985, 'latency_p90': 6.253951287269592}, {'batch_size': 10, 'throughput': 1.4417754957255675, 'latency_mean': 6.8692627370357515, 'latency_p50': 6.945833802223206, 'latency_p90': 7.654685664176941}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full-_33146_v2
is_internal_developer: False
language_model: junhua024/chai_06_full_02098_0106
model_size: 13B
ranking_group: single
throughput_3p7s: 1.27
us_pacific_date: 2025-07-18
win_ratio: 0.48759803027539667
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-06-full-33146-v2-mkmlizer
Waiting for job on junhua024-chai-06-full-33146-v2-mkmlizer to finish
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junhua024-chai-06-full-33146-v2-mkmlizer: ║ ║
junhua024-chai-06-full-33146-v2-mkmlizer: ║ Version: 0.29.15 ║
junhua024-chai-06-full-33146-v2-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
junhua024-chai-06-full-33146-v2-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
junhua024-chai-06-full-33146-v2-mkmlizer: ║ https://mk1.ai ║
junhua024-chai-06-full-33146-v2-mkmlizer: ║ ║
junhua024-chai-06-full-33146-v2-mkmlizer: ║ The license key for the current software has been verified as ║
junhua024-chai-06-full-33146-v2-mkmlizer: ║ belonging to: ║
junhua024-chai-06-full-33146-v2-mkmlizer: ║ ║
junhua024-chai-06-full-33146-v2-mkmlizer: ║ Chai Research Corp. ║
junhua024-chai-06-full-33146-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
junhua024-chai-06-full-33146-v2-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
junhua024-chai-06-full-33146-v2-mkmlizer: ║ ║
junhua024-chai-06-full-33146-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-33146-v2-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-06-full-33146-v2-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-06-full-_95931_v1: HTTPConnectionPool(host='junhua024-chai-06-full-95931-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-06-full-33146-v2-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-06-full-33146-v2-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-06-full-33146-v2-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-06-full-33146-v2-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-06-full-33146-v2-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-06-full-33146-v2-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-06-full-33146-v2-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-06-full-33146-v2-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-06-full-33146-v2-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-06-full-33146-v2-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-06-full-33146-v2-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-06-full-33146-v2-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-06-full-33146-v2-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-06-full-33146-v2-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-06-full-33146-v2-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-06-full-33146-v2-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-06-full-33146-v2-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-06-full-33146-v2-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-06-full-33146-v2-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-06-full-33146-v2-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-06-full-33146-v2-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-06-full-33146-v2-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-06-full-33146-v2-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-06-full-33146-v2-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-06-full-33146-v2-mkmlizer: Downloaded to shared memory in 298.690s
junhua024-chai-06-full-33146-v2-mkmlizer: Checking if junhua024/chai_06_full_02098_0106 already exists in ChaiML
junhua024-chai-06-full-33146-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp2hme9xa1, device:0
junhua024-chai-06-full-33146-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission junhua024-chai-06-full_30622_v24: HTTPConnectionPool(host='junhua024-chai-06-full-30622-v24-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-06-full-33146-v2-mkmlizer: quantized model in 39.129s
junhua024-chai-06-full-33146-v2-mkmlizer: Processed model junhua024/chai_06_full_02098_0106 in 337.912s
junhua024-chai-06-full-33146-v2-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-33146-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-33146-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-33146-v2/nvidia
junhua024-chai-06-full-33146-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-33146-v2/nvidia/config.json
junhua024-chai-06-full-33146-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-33146-v2/nvidia/special_tokens_map.json
junhua024-chai-06-full-33146-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-33146-v2/nvidia/tokenizer_config.json
junhua024-chai-06-full-33146-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-33146-v2/nvidia/tokenizer.json
junhua024-chai-06-full-33146-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-33146-v2/nvidia/flywheel_model.0.safetensors
Job junhua024-chai-06-full-33146-v2-mkmlizer completed after 368.1s with status: succeeded
Stopping job with name junhua024-chai-06-full-33146-v2-mkmlizer
Pipeline stage MKMLizer completed in 368.63s
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Creating inference service junhua024-chai-06-full-33146-v2
Waiting for inference service junhua024-chai-06-full-33146-v2 to be ready
Inference service junhua024-chai-06-full-33146-v2 ready after 321.52329754829407s
Pipeline stage MKMLDeployer completed in 321.98s
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Running pipeline stage StressChecker
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 2.5481722354888916s
Received healthy response to inference request in 1.9334628582000732s
Received healthy response to inference request in 1.6371731758117676s
Received healthy response to inference request in 1.8617537021636963s
5 requests
1 failed requests
5th percentile: 1.6820892810821533
10th percentile: 1.727005386352539
20th percentile: 1.8168375968933106
30th percentile: 1.8760955333709717
40th percentile: 1.9047791957855225
50th percentile: 1.9334628582000732
60th percentile: 2.1793466091156004
70th percentile: 2.425230360031128
80th percentile: 6.069878435134891
90th percentile: 13.11329083442688
95th percentile: 16.634997034072875
99th percentile: 19.452361993789673
mean time: 5.62745304107666
%s, retrying in %s seconds...
Received healthy response to inference request in 1.8661937713623047s
Received healthy response to inference request in 1.8576431274414062s
Received healthy response to inference request in 1.5522332191467285s
Received healthy response to inference request in 1.6287026405334473s
Received healthy response to inference request in 1.7758240699768066s
5 requests
0 failed requests
5th percentile: 1.5675271034240723
10th percentile: 1.582820987701416
20th percentile: 1.6134087562561035
30th percentile: 1.6581269264221192
40th percentile: 1.716975498199463
50th percentile: 1.7758240699768066
60th percentile: 1.8085516929626464
70th percentile: 1.8412793159484864
80th percentile: 1.859353256225586
90th percentile: 1.8627735137939454
95th percentile: 1.864483642578125
99th percentile: 1.8658517456054688
mean time: 1.7361193656921388
Pipeline stage StressChecker completed in 40.10s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.74s
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Shutdown handler registered
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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 4838.99s
Shutdown handler de-registered
junhua024-chai-06-full-_33146_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_33146_v2 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_33146_v2 status is now torndown due to DeploymentManager action