junhua024-chai-06-full_30622

developer_uid: junhua024

submission_id: junhua024-chai-06-full_30622_v20

model_name: junhua024-chai-06-full_30622_v20

model_group: junhua024/chai_06_full_0

status: torndown

timestamp: 2025-07-18T17:30:43+00:00

num_battles: 8565

num_wins: 4209

celo_rating: 1277.92

family_friendly_score: 0.5552

family_friendly_standard_error: 0.007027844050631744

submission_type: basic

model_repo: junhua024/chai_06_full_02102_1925

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 6

max_input_tokens: 1024

max_output_tokens: 64

reward_model: default

latencies: [{'batch_size': 1, 'throughput': 0.610654296192633, 'latency_mean': 1.637441349029541, 'latency_p50': 1.6364723443984985, 'latency_p90': 1.8054136037826538}, {'batch_size': 3, 'throughput': 1.122741379188457, 'latency_mean': 2.6609188747406005, 'latency_p50': 2.6734695434570312, 'latency_p90': 2.912492108345032}, {'batch_size': 5, 'throughput': 1.4100937458629932, 'latency_mean': 3.5201945626735687, 'latency_p50': 3.5343512296676636, 'latency_p90': 3.9275747776031493}, {'batch_size': 6, 'throughput': 1.4733087738197184, 'latency_mean': 4.0506525588035585, 'latency_p50': 4.023586750030518, 'latency_p90': 4.514974236488342}, {'batch_size': 8, 'throughput': 1.6001010012484271, 'latency_mean': 4.965176720619201, 'latency_p50': 4.9833744764328, 'latency_p90': 5.608466768264771}, {'batch_size': 10, 'throughput': 1.6267575503927068, 'latency_mean': 6.113256238698959, 'latency_p50': 6.178096532821655, 'latency_p90': 6.819786953926086}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-06-full_30622_v20

is_internal_developer: False

language_model: junhua024/chai_06_full_02102_1925

model_size: 13B

ranking_group: single

throughput_3p7s: 1.44

us_pacific_date: 2025-07-18

win_ratio: 0.4914185639229422

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': 6, '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-v20-mkmlizer
Waiting for job on junhua024-chai-06-full-30622-v20-mkmlizer to finish
Failed to get response for submission chaiml-bat-boys-azeril-_87348_v1: ('http://chaiml-bat-boys-azeril-87348-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
junhua024-chai-06-full-30622-v20-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-06-full-30622-v20-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-30622-v20-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-30622-v20-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v20-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-30622-v20-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-30622-v20-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-30622-v20-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-30622-v20-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v20-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-30622-v20-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-30622-v20-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v20-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-30622-v20-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-30622-v20-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-30622-v20-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v20-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-30622-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-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-v20-mkmlizer: Downloaded to shared memory in 84.759s
junhua024-chai-06-full-30622-v20-mkmlizer: Checking if junhua024/chai_06_full_02102_1925 already exists in ChaiML
junhua024-chai-06-full-30622-v20-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpdvj9ma5a, device:0
junhua024-chai-06-full-30622-v20-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-30622-v20-mkmlizer: quantized model in 32.841s
junhua024-chai-06-full-30622-v20-mkmlizer: Processed model junhua024/chai_06_full_02102_1925 in 117.698s
junhua024-chai-06-full-30622-v20-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-30622-v20-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v20/nvidia/special_tokens_map.json
junhua024-chai-06-full-30622-v20-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v20/nvidia/tokenizer_config.json
junhua024-chai-06-full-30622-v20-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v20/nvidia/tokenizer.json
junhua024-chai-06-full-30622-v20-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v20/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-30622-v20-mkmlizer: 
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Job junhua024-chai-06-full-30622-v20-mkmlizer completed after 296.46s with status: succeeded
Stopping job with name junhua024-chai-06-full-30622-v20-mkmlizer
Pipeline stage MKMLizer completed in 297.03s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.24s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-06-full-30622-v20
Waiting for inference service junhua024-chai-06-full-30622-v20 to be ready
Failed to get response for submission chaiml-bat-boys-azeril-_87348_v1: ('http://chaiml-bat-boys-azeril-87348-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Failed to get response for submission chaiml-daren-god-of-deat_6797_v1: HTTPConnectionPool(host='chaiml-daren-god-of-deat-6797-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-06-full-30622-v20 ready after 331.2029745578766s
Pipeline stage MKMLDeployer completed in 332.19s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.7505249977111816s
Received healthy response to inference request in 1.490370750427246s
Received healthy response to inference request in 1.8380134105682373s
Received healthy response to inference request in 1.8228960037231445s
Received healthy response to inference request in 1.8100559711456299s
5 requests
0 failed requests
5th percentile: 1.554307794570923
10th percentile: 1.6182448387145996
20th percentile: 1.746118927001953
30th percentile: 1.8126239776611328
40th percentile: 1.8177599906921387
50th percentile: 1.8228960037231445
60th percentile: 1.8289429664611816
70th percentile: 1.8349899291992187
80th percentile: 2.0205157279968264
90th percentile: 2.385520362854004
95th percentile: 2.5680226802825925
99th percentile: 2.7140245342254636
mean time: 1.9423722267150878
Pipeline stage StressChecker completed in 11.68s
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 0.97s
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 0.80s
Shutdown handler de-registered
junhua024-chai-06-full_30622_v20 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 2953.15s
Shutdown handler de-registered
junhua024-chai-06-full_30622_v20 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full_30622_v20 status is now torndown due to DeploymentManager action
junhua024-chai-06-full_30622_v20 status is now torndown due to DeploymentManager action