developer_uid: junhua024
submission_id: junhua024-chai-06-full_71610_v13
model_name: junhua024-chai-06-full_71610_v13
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-18T05:14:08+00:00
num_battles: 6514
num_wins: 3185
celo_rating: 1274.39
family_friendly_score: 0.5529999999999999
family_friendly_standard_error: 0.0070312303333058285
submission_type: basic
model_repo: junhua024/chai_06_full_02102_1619_2024
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': 0.5993648527724011, 'latency_mean': 1.6682989609241485, 'latency_p50': 1.65889310836792, 'latency_p90': 1.8409372568130493}, {'batch_size': 3, 'throughput': 1.0855909298447954, 'latency_mean': 2.7572008538246155, 'latency_p50': 2.7467058897018433, 'latency_p90': 3.0021055698394776}, {'batch_size': 5, 'throughput': 1.300713902639984, 'latency_mean': 3.826835683584213, 'latency_p50': 3.834663510322571, 'latency_p90': 4.248677206039429}, {'batch_size': 6, 'throughput': 1.3767438757592299, 'latency_mean': 4.333178278207779, 'latency_p50': 4.315819263458252, 'latency_p90': 4.824028277397156}, {'batch_size': 8, 'throughput': 1.4290486489153984, 'latency_mean': 5.562791016101837, 'latency_p50': 5.532378435134888, 'latency_p90': 6.222576403617858}, {'batch_size': 10, 'throughput': 1.4539260249744064, 'latency_mean': 6.825241796970367, 'latency_p50': 6.797794222831726, 'latency_p90': 7.717387795448303}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full_71610_v13
is_internal_developer: False
language_model: junhua024/chai_06_full_02102_1619_2024
model_size: 13B
ranking_group: single
throughput_3p7s: 1.29
us_pacific_date: 2025-07-17
win_ratio: 0.4889468836352472
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-71610-v13-mkmlizer
Waiting for job on junhua024-chai-06-full-71610-v13-mkmlizer to finish
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junhua024-chai-06-full-71610-v13-mkmlizer: ║ ║
junhua024-chai-06-full-71610-v13-mkmlizer: ║ Version: 0.29.15 ║
junhua024-chai-06-full-71610-v13-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
junhua024-chai-06-full-71610-v13-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
junhua024-chai-06-full-71610-v13-mkmlizer: ║ https://mk1.ai ║
junhua024-chai-06-full-71610-v13-mkmlizer: ║ ║
junhua024-chai-06-full-71610-v13-mkmlizer: ║ The license key for the current software has been verified as ║
junhua024-chai-06-full-71610-v13-mkmlizer: ║ belonging to: ║
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junhua024-chai-06-full-71610-v13-mkmlizer: ║ Chai Research Corp. ║
junhua024-chai-06-full-71610-v13-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
junhua024-chai-06-full-71610-v13-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
junhua024-chai-06-full-71610-v13-mkmlizer: ║ ║
junhua024-chai-06-full-71610-v13-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-71610-v13-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-71610-v13-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-71610-v13-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-71610-v13-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-71610-v13-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-71610-v13-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-71610-v13-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-71610-v13-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-71610-v13-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-71610-v13-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-71610-v13-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-71610-v13-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-71610-v13-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-71610-v13-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-71610-v13-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-71610-v13-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-71610-v13-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-71610-v13-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-71610-v13-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-71610-v13-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-71610-v13-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-71610-v13-mkmlizer: Downloaded to shared memory in 92.182s
junhua024-chai-06-full-71610-v13-mkmlizer: Checking if junhua024/chai_06_full_02102_1619_2024 already exists in ChaiML
junhua024-chai-06-full-71610-v13-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp6gx8ngvi, device:0
junhua024-chai-06-full-71610-v13-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission zmeeks-capitanito-54-3000_v10: HTTPConnectionPool(host='zmeeks-capitanito-54-3000-v10-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-06-full-71610-v13-mkmlizer: quantized model in 32.772s
junhua024-chai-06-full-71610-v13-mkmlizer: Processed model junhua024/chai_06_full_02102_1619_2024 in 125.039s
junhua024-chai-06-full-71610-v13-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-71610-v13-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-71610-v13-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-71610-v13/nvidia
junhua024-chai-06-full-71610-v13-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-71610-v13/nvidia/config.json
junhua024-chai-06-full-71610-v13-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-71610-v13/nvidia/special_tokens_map.json
junhua024-chai-06-full-71610-v13-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-71610-v13/nvidia/tokenizer_config.json
junhua024-chai-06-full-71610-v13-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-71610-v13/nvidia/tokenizer.json
junhua024-chai-06-full-71610-v13-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-71610-v13/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-06-full-71610-v13-mkmlizer completed after 151.72s with status: succeeded
Stopping job with name junhua024-chai-06-full-71610-v13-mkmlizer
Pipeline stage MKMLizer completed in 152.24s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.19s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-06-full-71610-v13
Waiting for inference service junhua024-chai-06-full-71610-v13 to be ready
Failed to get response for submission zmeeks-capitanito-54-2800_v6: HTTPConnectionPool(host='zmeeks-capitanito-54-2800-v6-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission zmeeks-capitanito-54-2600_v9: HTTPConnectionPool(host='zmeeks-capitanito-54-2600-v9-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission zmeeks-capitanito-54-2600_v9: HTTPConnectionPool(host='zmeeks-capitanito-54-2600-v9-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission zmeeks-capitanito-54-2600_v10: HTTPConnectionPool(host='zmeeks-capitanito-54-2600-v10-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission zmeeks-capitanito-54-2800_v5: HTTPConnectionPool(host='zmeeks-capitanito-54-2800-v5-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-06-full-71610-v13 ready after 312.60110330581665s
Pipeline stage MKMLDeployer completed in 313.17s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5229063034057617s
Received healthy response to inference request in 1.5897455215454102s
Received healthy response to inference request in 1.6632342338562012s
Failed to get response for submission zmeeks-capitanito-54-2800_v5: HTTPConnectionPool(host='zmeeks-capitanito-54-2800-v5-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Received healthy response to inference request in 1.6426427364349365s
Received healthy response to inference request in 1.6349365711212158s
5 requests
0 failed requests
5th percentile: 1.5987837314605713
10th percentile: 1.6078219413757324
20th percentile: 1.6258983612060547
30th percentile: 1.63647780418396
40th percentile: 1.6395602703094483
50th percentile: 1.6426427364349365
60th percentile: 1.6508793354034423
70th percentile: 1.6591159343719482
80th percentile: 1.8351686477661135
90th percentile: 2.1790374755859374
95th percentile: 2.3509718894958493
99th percentile: 2.488519420623779
mean time: 1.8106930732727051
Pipeline stage StressChecker completed in 11.21s
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 0.73s
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 0.69s
Shutdown handler de-registered
junhua024-chai-06-full_71610_v13 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 0.16s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-06-full-71610-v13-profiler
Waiting for inference service junhua024-chai-06-full-71610-v13-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 3104.83s
Shutdown handler de-registered
junhua024-chai-06-full_71610_v13 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full_71610_v13 status is now torndown due to DeploymentManager action
junhua024-chai-06-full_71610_v13 status is now torndown due to DeploymentManager action