junhua024-chai-16-full-_69709

developer_uid: junhua024
submission_id: junhua024-chai-16-full-_69709_v7
model_name: junhua024-chai-16-full-_69709_v7
model_group: junhua024/chai_16_full_1
status: torndown
timestamp: 2025-07-19T18:03:10+00:00
num_battles: 9001
num_wins: 4546
celo_rating: 1284.46
family_friendly_score: 0.5454
family_friendly_standard_error: 0.007041858277471934
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': 0.5947113736116374, 'latency_mean': 1.6813899266719818, 'latency_p50': 1.6771286725997925, 'latency_p90': 1.8742640733718872}, {'batch_size': 3, 'throughput': 1.0584564661898834, 'latency_mean': 2.8278416347503663, 'latency_p50': 2.851444721221924, 'latency_p90': 3.1065531969070435}, {'batch_size': 5, 'throughput': 1.2756707469052246, 'latency_mean': 3.903080245256424, 'latency_p50': 3.89068067073822, 'latency_p90': 4.415374445915222}, {'batch_size': 6, 'throughput': 1.3430393135439083, 'latency_mean': 4.444053871631622, 'latency_p50': 4.461801171302795, 'latency_p90': 5.005316305160522}, {'batch_size': 8, 'throughput': 1.4037925328683871, 'latency_mean': 5.656335678100586, 'latency_p50': 5.697461128234863, 'latency_p90': 6.2521700143814085}, {'batch_size': 10, 'throughput': 1.4260277335491327, 'latency_mean': 6.95743607878685, 'latency_p50': 6.9605079889297485, 'latency_p90': 7.804145979881286}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-16-full-_69709_v7
is_internal_developer: False
language_model: junhua024/chai_16_full_104_o_ffn_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.25
us_pacific_date: 2025-07-19
win_ratio: 0.5050549938895679
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-v7-mkmlizer
Waiting for job on junhua024-chai-16-full-69709-v7-mkmlizer to finish
junhua024-chai-16-full-69709-v7-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-16-full-69709-v7-mkmlizer: ║                                                                     ║
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junhua024-chai-16-full-69709-v7-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-16-full-69709-v7-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-69709-v7-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-16-full-69709-v7-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-16-full-69709-v7-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-16-full-69709-v7-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-16-full-69709-v7-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-69709-v7-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-16-full-69709-v7-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-16-full-69709-v7-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-69709-v7-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-16-full-69709-v7-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-16-full-69709-v7-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-16-full-69709-v7-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-69709-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-16-full-69709-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-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-v7-mkmlizer: Downloaded to shared memory in 81.434s
junhua024-chai-16-full-69709-v7-mkmlizer: Checking if junhua024/chai_16_full_104_o_ffn_1925 already exists in ChaiML
junhua024-chai-16-full-69709-v7-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpd8qjsngz, device:0
junhua024-chai-16-full-69709-v7-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-16-full-69709-v7-mkmlizer: quantized model in 31.023s
junhua024-chai-16-full-69709-v7-mkmlizer: Processed model junhua024/chai_16_full_104_o_ffn_1925 in 112.532s
junhua024-chai-16-full-69709-v7-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-16-full-69709-v7-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-16-full-69709-v7-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-16-full-69709-v7/nvidia
junhua024-chai-16-full-69709-v7-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-16-full-69709-v7/nvidia/config.json
junhua024-chai-16-full-69709-v7-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-16-full-69709-v7/nvidia/special_tokens_map.json
junhua024-chai-16-full-69709-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-16-full-69709-v7/nvidia/tokenizer_config.json
junhua024-chai-16-full-69709-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-16-full-69709-v7/nvidia/tokenizer.json
junhua024-chai-16-full-69709-v7-mkmlizer: 
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Job junhua024-chai-16-full-69709-v7-mkmlizer completed after 139.94s with status: succeeded
Stopping job with name junhua024-chai-16-full-69709-v7-mkmlizer
Pipeline stage MKMLizer completed in 140.55s
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-69709-v7
Waiting for inference service junhua024-chai-16-full-69709-v7 to be ready
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)
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-v7 ready after 331.8532943725586s
Pipeline stage MKMLDeployer completed in 332.35s
run pipeline stage %s
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 2.1929640769958496s
Received healthy response to inference request in 1.5535695552825928s
Received healthy response to inference request in 2.2610912322998047s
Received healthy response to inference request in 1.8041534423828125s
5 requests
1 failed requests
5th percentile: 1.6036863327026367
10th percentile: 1.6538031101226807
20th percentile: 1.7540366649627686
30th percentile: 1.88191556930542
40th percentile: 2.0374398231506348
50th percentile: 2.1929640769958496
60th percentile: 2.2202149391174317
70th percentile: 2.247465801239014
80th percentile: 5.843153572082523
90th percentile: 13.00727825164795
95th percentile: 16.589340591430663
99th percentile: 19.454990463256834
mean time: 5.596636247634888
%s, retrying in %s seconds...
Received healthy response to inference request in 1.4970815181732178s
Received healthy response to inference request in 1.805978775024414s
Received healthy response to inference request in 1.6641902923583984s
Received healthy response to inference request in 1.800971508026123s
Received healthy response to inference request in 1.8349900245666504s
5 requests
0 failed requests
5th percentile: 1.530503273010254
10th percentile: 1.56392502784729
20th percentile: 1.6307685375213623
30th percentile: 1.6915465354919434
40th percentile: 1.7462590217590332
50th percentile: 1.800971508026123
60th percentile: 1.8029744148254394
70th percentile: 1.8049773216247558
80th percentile: 1.8117810249328614
90th percentile: 1.823385524749756
95th percentile: 1.829187774658203
99th percentile: 1.8338295745849609
mean time: 1.7206424236297608
Pipeline stage StressChecker completed in 39.28s
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 0.83s
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-_69709_v7 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 0.13s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.13s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-16-full-69709-v7-profiler
Waiting for inference service junhua024-chai-16-full-69709-v7-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
Pipeline stage OfflineFamilyFriendlyScorer completed in 2866.76s
Shutdown handler de-registered
junhua024-chai-16-full-_69709_v7 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-16-full-_69709_v7 status is now torndown due to DeploymentManager action