junhua024-chai-1-full-002

developer_uid: junhua024
submission_id: junhua024-chai-1-full-002_v16
model_name: junhua024-chai-1-full-002_v16
model_group: junhua024/chai_1-full_00
status: torndown
timestamp: 2025-06-29T06:58:07+00:00
num_battles: 8771
num_wins: 4017
celo_rating: 1250.7
family_friendly_score: 0.5932
family_friendly_standard_error: 0.006947139843129689
submission_type: basic
model_repo: junhua024/chai_1-full_002
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': 0.5914549330039205, 'latency_mean': 1.6906277799606324, 'latency_p50': 1.6826179027557373, 'latency_p90': 1.8583437919616699}, {'batch_size': 3, 'throughput': 1.0608394042933749, 'latency_mean': 2.8184973394870756, 'latency_p50': 2.8339048624038696, 'latency_p90': 3.1049410104751587}, {'batch_size': 5, 'throughput': 1.2531922789278813, 'latency_mean': 3.9783576703071595, 'latency_p50': 3.9933416843414307, 'latency_p90': 4.429336595535278}, {'batch_size': 6, 'throughput': 1.3144402726264923, 'latency_mean': 4.549462682008743, 'latency_p50': 4.533306360244751, 'latency_p90': 5.102271914482117}, {'batch_size': 8, 'throughput': 1.3680710541564531, 'latency_mean': 5.810585820674897, 'latency_p50': 5.7905168533325195, 'latency_p90': 6.571484994888305}, {'batch_size': 10, 'throughput': 1.403832460636114, 'latency_mean': 7.052021954059601, 'latency_p50': 7.095451831817627, 'latency_p90': 7.945621180534363}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-002_v16
is_internal_developer: False
language_model: junhua024/chai_1-full_002
model_size: 13B
ranking_group: single
throughput_3p7s: 1.22
us_pacific_date: 2025-06-28
win_ratio: 0.45798654657393684
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.2, 'top_k': 80, '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-002-v16-mkmlizer
Waiting for job on junhua024-chai-1-full-002-v16-mkmlizer to finish
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junhua024-chai-1-full-002-v16-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-002-v16-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v16-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-002-v16-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-002-v16-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-002-v16-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-002-v16-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v16-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-002-v16-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-002-v16-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v16-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-002-v16-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-002-v16-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-002-v16-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v16-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-002-v16-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-002-v16-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-002-v16-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-002-v16-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-002-v16-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-002-v16-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-002-v16-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-002-v16-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-002-v16-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-002-v16-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-002-v16-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-002-v16-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-002-v16-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-002-v16-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-002-v16-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-002-v16-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-002-v16-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-002-v16-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-002-v16-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-002-v16-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-002-v16-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-002-v16-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-002-v16-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-002-v16-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-002-v16-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-002-v16-mkmlizer: Downloaded to shared memory in 79.741s
junhua024-chai-1-full-002-v16-mkmlizer: Checking if junhua024/chai_1-full_002 already exists in ChaiML
junhua024-chai-1-full-002-v16-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp109_knt7, device:0
junhua024-chai-1-full-002-v16-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-002-v16-mkmlizer: quantized model in 32.040s
junhua024-chai-1-full-002-v16-mkmlizer: Processed model junhua024/chai_1-full_002 in 111.871s
junhua024-chai-1-full-002-v16-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-002-v16-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-002-v16-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-002-v16
junhua024-chai-1-full-002-v16-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v16/config.json
junhua024-chai-1-full-002-v16-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v16/special_tokens_map.json
junhua024-chai-1-full-002-v16-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v16/tokenizer_config.json
junhua024-chai-1-full-002-v16-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v16/tokenizer.json
junhua024-chai-1-full-002-v16-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-002-v16/flywheel_model.0.safetensors
junhua024-chai-1-full-002-v16-mkmlizer: 
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Job junhua024-chai-1-full-002-v16-mkmlizer completed after 136.65s with status: succeeded
Stopping job with name junhua024-chai-1-full-002-v16-mkmlizer
Pipeline stage MKMLizer completed in 137.21s
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-1-full-002-v16
Waiting for inference service junhua024-chai-1-full-002-v16 to be ready
Failed to get response for submission junhua024-chai-1-full-002_v15: HTTPConnectionPool(host='junhua024-chai-1-full-002-v15-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-1-full-002-v16 ready after 180.86412119865417s
Pipeline stage MKMLDeployer completed in 181.43s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.744074583053589s
Received healthy response to inference request in 1.8989012241363525s
Received healthy response to inference request in 1.5150351524353027s
Received healthy response to inference request in 1.773806095123291s
Received healthy response to inference request in 1.7443537712097168s
5 requests
0 failed requests
5th percentile: 1.5608988761901856
10th percentile: 1.6067625999450683
20th percentile: 1.698490047454834
30th percentile: 1.7502442359924317
40th percentile: 1.7620251655578614
50th percentile: 1.773806095123291
60th percentile: 1.8238441467285156
70th percentile: 1.8738821983337401
80th percentile: 2.0679358959198
90th percentile: 2.4060052394866944
95th percentile: 2.5750399112701414
99th percentile: 2.7102676486968993
mean time: 1.9352341651916505
Pipeline stage StressChecker completed in 11.18s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.69s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.69s
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junhua024-chai-1-full-002_v16 status is now deployed due to DeploymentManager action
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Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.12s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-002-v16-profiler
Waiting for inference service junhua024-chai-1-full-002-v16-profiler to be ready
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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
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Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2496.60s
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junhua024-chai-1-full-002_v16 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-002_v16 status is now torndown due to DeploymentManager action