junhua024-chai-06-full_30622

developer_uid: junhua024

submission_id: junhua024-chai-06-full_30622_v27

model_name: junhua024-chai-06-full_30622_v27

model_group: junhua024/chai_06_full_0

status: torndown

timestamp: 2025-07-19T11:24:06+00:00

num_battles: 9258

num_wins: 4517

celo_rating: 1276.46

family_friendly_score: 0.5596

family_friendly_standard_error: 0.0070206529610856

submission_type: basic

model_repo: junhua024/chai_06_full_02102_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': 0.5986401176857155, 'latency_mean': 1.6703465390205383, 'latency_p50': 1.667726993560791, 'latency_p90': 1.8533394813537598}, {'batch_size': 3, 'throughput': 1.0567013318564673, 'latency_mean': 2.822929700613022, 'latency_p50': 2.8512439727783203, 'latency_p90': 3.091982102394104}, {'batch_size': 5, 'throughput': 1.2770159883844663, 'latency_mean': 3.903882473707199, 'latency_p50': 3.923021674156189, 'latency_p90': 4.330055689811706}, {'batch_size': 6, 'throughput': 1.3250494261082397, 'latency_mean': 4.504759068489075, 'latency_p50': 4.5005375146865845, 'latency_p90': 5.053965544700622}, {'batch_size': 8, 'throughput': 1.388830178955977, 'latency_mean': 5.716476429700851, 'latency_p50': 5.752726674079895, 'latency_p90': 6.427856278419495}, {'batch_size': 10, 'throughput': 1.423910909914325, 'latency_mean': 6.9681840670108794, 'latency_p50': 6.869043946266174, 'latency_p90': 7.886351084709167}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-06-full_30622_v27

is_internal_developer: False

language_model: junhua024/chai_06_full_02102_1925

model_size: 13B

ranking_group: single

throughput_3p7s: 1.25

us_pacific_date: 2025-07-19

win_ratio: 0.48790235472024196

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-30622-v27-mkmlizer
Waiting for job on junhua024-chai-06-full-30622-v27-mkmlizer to finish
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junhua024-chai-06-full-30622-v27-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-30622-v27-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-30622-v27-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v27-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-30622-v27-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-30622-v27-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-30622-v27-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-30622-v27-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v27-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-30622-v27-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-30622-v27-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v27-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-30622-v27-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-30622-v27-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-30622-v27-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v27-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-30622-v27-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-30622-v27-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-30622-v27-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-30622-v27-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-30622-v27-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-30622-v27-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-30622-v27-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-30622-v27-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-30622-v27-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-30622-v27-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-30622-v27-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-30622-v27-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-30622-v27-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-30622-v27-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-30622-v27-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-30622-v27-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-30622-v27-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-30622-v27-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-30622-v27-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-30622-v27-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-30622-v27-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-30622-v27-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-30622-v27-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-30622-v27-mkmlizer: Downloaded to shared memory in 74.564s
junhua024-chai-06-full-30622-v27-mkmlizer: Checking if junhua024/chai_06_full_02102_1925 already exists in ChaiML
junhua024-chai-06-full-30622-v27-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp1ttmp9x7, device:0
junhua024-chai-06-full-30622-v27-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-30622-v27-mkmlizer: quantized model in 33.332s
junhua024-chai-06-full-30622-v27-mkmlizer: Processed model junhua024/chai_06_full_02102_1925 in 107.991s
junhua024-chai-06-full-30622-v27-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-30622-v27-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-30622-v27-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v27/nvidia
junhua024-chai-06-full-30622-v27-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v27/nvidia/config.json
junhua024-chai-06-full-30622-v27-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v27/nvidia/special_tokens_map.json
junhua024-chai-06-full-30622-v27-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v27/nvidia/tokenizer_config.json
junhua024-chai-06-full-30622-v27-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v27/nvidia/tokenizer.json
junhua024-chai-06-full-30622-v27-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v27/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-06-full-30622-v27-mkmlizer completed after 129.07s with status: succeeded
Stopping job with name junhua024-chai-06-full-30622-v27-mkmlizer
Pipeline stage MKMLizer completed in 129.68s
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-06-full-30622-v27
Waiting for inference service junhua024-chai-06-full-30622-v27 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-06-full-30622-v27 ready after 333.8299961090088s
Pipeline stage MKMLDeployer completed in 334.58s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.6316933631896973s
Received healthy response to inference request in 1.878718614578247s
Received healthy response to inference request in 1.525331735610962s
Received healthy response to inference request in 2.040886878967285s
Received healthy response to inference request in 1.5578179359436035s
5 requests
0 failed requests
5th percentile: 1.5318289756774903
10th percentile: 1.5383262157440185
20th percentile: 1.551320695877075
30th percentile: 1.6219980716705322
40th percentile: 1.7503583431243896
50th percentile: 1.878718614578247
60th percentile: 1.9435859203338623
70th percentile: 2.0084532260894776
80th percentile: 2.1590481758117677
90th percentile: 2.3953707695007322
95th percentile: 2.5135320663452148
99th percentile: 2.6080611038208006
mean time: 1.926889705657959
Pipeline stage StressChecker completed in 11.28s
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 1.03s
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 0.84s
Shutdown handler de-registered
junhua024-chai-06-full_30622_v27 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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 4655.10s
Shutdown handler de-registered
junhua024-chai-06-full_30622_v27 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full_30622_v27 status is now torndown due to DeploymentManager action