developer_uid: junhua024
submission_id: junhua024-chai-1-full_94469_v127
model_name: junhua024-chai-1-full_94469_v127
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-18T08:36:21+00:00
num_battles: 8112
num_wins: 3949
celo_rating: 1281.34
family_friendly_score: 0.5538000000000001
family_friendly_standard_error: 0.0070300150782199615
submission_type: basic
model_repo: junhua024/chai-1-full-066126
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': 0.5992648476236239, 'latency_mean': 1.6685194742679597, 'latency_p50': 1.6683419942855835, 'latency_p90': 1.837066888809204}, {'batch_size': 3, 'throughput': 1.0829406944436624, 'latency_mean': 2.759355183839798, 'latency_p50': 2.7810397148132324, 'latency_p90': 3.049912214279175}, {'batch_size': 5, 'throughput': 1.3027669983054448, 'latency_mean': 3.8150616776943207, 'latency_p50': 3.8081475496292114, 'latency_p90': 4.2965710163116455}, {'batch_size': 6, 'throughput': 1.3714586664069695, 'latency_mean': 4.34540031671524, 'latency_p50': 4.353070378303528, 'latency_p90': 4.914287543296814}, {'batch_size': 8, 'throughput': 1.430510612215104, 'latency_mean': 5.550751339197159, 'latency_p50': 5.549614310264587, 'latency_p90': 6.232673907279969}, {'batch_size': 10, 'throughput': 1.4699132184642147, 'latency_mean': 6.744317282438278, 'latency_p50': 6.772621512413025, 'latency_p90': 7.576504111289978}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full_94469_v127
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.29
us_pacific_date: 2025-07-18
win_ratio: 0.48680966469428005
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-1-full-94469-v127-mkmlizer
Waiting for job on junhua024-chai-1-full-94469-v127-mkmlizer to finish
junhua024-chai-1-full-94469-v127-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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junhua024-chai-1-full-94469-v127-mkmlizer: ║ ║
junhua024-chai-1-full-94469-v127-mkmlizer: ║ Version: 0.29.15 ║
junhua024-chai-1-full-94469-v127-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
junhua024-chai-1-full-94469-v127-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
junhua024-chai-1-full-94469-v127-mkmlizer: ║ https://mk1.ai ║
junhua024-chai-1-full-94469-v127-mkmlizer: ║ ║
junhua024-chai-1-full-94469-v127-mkmlizer: ║ The license key for the current software has been verified as ║
junhua024-chai-1-full-94469-v127-mkmlizer: ║ belonging to: ║
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junhua024-chai-1-full-94469-v127-mkmlizer: ║ Chai Research Corp. ║
junhua024-chai-1-full-94469-v127-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
junhua024-chai-1-full-94469-v127-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
junhua024-chai-1-full-94469-v127-mkmlizer: ║ ║
junhua024-chai-1-full-94469-v127-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-94469-v127-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-1-full-94469-v127-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-1-full-94469-v127-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-1-full-94469-v127-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-1-full-94469-v127-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-1-full-94469-v127-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-1-full-94469-v127-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-1-full-94469-v127-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 zmeeks-capitancito_v19: HTTPConnectionPool(host='zmeeks-capitancito-v19-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-1-full-94469-v127-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-1-full-94469-v127-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-1-full-94469-v127-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-1-full-94469-v127-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-1-full-94469-v127-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-1-full-94469-v127-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-1-full-94469-v127-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-1-full-94469-v127-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-1-full-94469-v127-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-1-full-94469-v127-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-1-full-94469-v127-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-1-full-94469-v127-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-1-full-94469-v127-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-1-full-94469-v127-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-1-full-94469-v127-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-1-full-94469-v127-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-1-full-94469-v127-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-1-full-94469-v127-mkmlizer: Downloaded to shared memory in 77.396s
junhua024-chai-1-full-94469-v127-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-94469-v127-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpttn2hjky, device:0
junhua024-chai-1-full-94469-v127-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-94469-v127-mkmlizer: quantized model in 30.602s
junhua024-chai-1-full-94469-v127-mkmlizer: Processed model junhua024/chai-1-full-066126 in 108.088s
junhua024-chai-1-full-94469-v127-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-94469-v127-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-94469-v127-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v127/nvidia
junhua024-chai-1-full-94469-v127-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v127/nvidia/config.json
junhua024-chai-1-full-94469-v127-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v127/nvidia/special_tokens_map.json
junhua024-chai-1-full-94469-v127-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v127/nvidia/tokenizer_config.json
junhua024-chai-1-full-94469-v127-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v127/nvidia/tokenizer.json
junhua024-chai-1-full-94469-v127-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v127/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-1-full-94469-v127-mkmlizer completed after 139.39s with status: succeeded
Stopping job with name junhua024-chai-1-full-94469-v127-mkmlizer
Pipeline stage MKMLizer completed in 140.57s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-94469-v127
Waiting for inference service junhua024-chai-1-full-94469-v127 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 zmeeks-capitancito_v19: HTTPConnectionPool(host='zmeeks-capitancito-v19-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission zmeeks-capitancito_v19: HTTPConnectionPool(host='zmeeks-capitancito-v19-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission zmeeks-capitancito_v19: HTTPConnectionPool(host='zmeeks-capitancito-v19-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission zmeeks-capitancito_v19: HTTPConnectionPool(host='zmeeks-capitancito-v19-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
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', '')
Inference service junhua024-chai-1-full-94469-v127 ready after 322.7323884963989s
Pipeline stage MKMLDeployer completed in 323.40s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.398837089538574s
Received healthy response to inference request in 1.806382179260254s
Received healthy response to inference request in 1.8683481216430664s
Received healthy response to inference request in 1.8521289825439453s
Received healthy response to inference request in 1.6636099815368652s
5 requests
0 failed requests
5th percentile: 1.692164421081543
10th percentile: 1.7207188606262207
20th percentile: 1.7778277397155762
30th percentile: 1.8155315399169922
40th percentile: 1.8338302612304687
50th percentile: 1.8521289825439453
60th percentile: 1.8586166381835938
70th percentile: 1.8651042938232423
80th percentile: 1.974445915222168
90th percentile: 2.186641502380371
95th percentile: 2.2927392959594726
99th percentile: 2.377617530822754
mean time: 1.917861270904541
Pipeline stage StressChecker completed in 11.72s
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 0.94s
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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 0.75s
Shutdown handler de-registered
junhua024-chai-1-full_94469_v127 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.15s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.13s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-94469-v127-profiler
Waiting for inference service junhua024-chai-1-full-94469-v127-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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 4767.91s
Shutdown handler de-registered
junhua024-chai-1-full_94469_v127 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full_94469_v127 status is now torndown due to DeploymentManager action
junhua024-chai-1-full_94469_v127 status is now torndown due to DeploymentManager action