junhua024-chai-02-full-0121

developer_uid: junhua024
submission_id: junhua024-chai-02-full-0121_v4
model_name: junhua024-chai-02-full-0121_v4
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-16T17:34:11+00:00
num_battles: 8423
num_wins: 4039
celo_rating: 1275.87
family_friendly_score: 0.5456
family_friendly_standard_error: 0.007041599818223129
submission_type: basic
model_repo: junhua024/chai_02_full_0121
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': 0.5991715542256657, 'latency_mean': 1.6688070404529571, 'latency_p50': 1.66839599609375, 'latency_p90': 1.831903052330017}, {'batch_size': 3, 'throughput': 1.0860582008202946, 'latency_mean': 2.756509200334549, 'latency_p50': 2.7639061212539673, 'latency_p90': 3.087822675704956}, {'batch_size': 5, 'throughput': 1.2942860336326492, 'latency_mean': 3.8424274837970733, 'latency_p50': 3.856626272201538, 'latency_p90': 4.211592292785644}, {'batch_size': 6, 'throughput': 1.369907992131236, 'latency_mean': 4.353855522871018, 'latency_p50': 4.357014298439026, 'latency_p90': 4.9537498474121096}, {'batch_size': 8, 'throughput': 1.4470931419596484, 'latency_mean': 5.492204873561859, 'latency_p50': 5.4448676109313965, 'latency_p90': 6.185032153129578}, {'batch_size': 10, 'throughput': 1.4572321945668527, 'latency_mean': 6.794177531003952, 'latency_p50': 6.838237285614014, 'latency_p90': 7.662277102470398}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full-0121_v4
is_internal_developer: False
language_model: junhua024/chai_02_full_0121
model_size: 13B
ranking_group: single
throughput_3p7s: 1.28
us_pacific_date: 2025-07-16
win_ratio: 0.47952036091653805
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-02-full-0121-v4-mkmlizer
Waiting for job on junhua024-chai-02-full-0121-v4-mkmlizer to finish
junhua024-chai-02-full-0121-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-02-full-0121-v4-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-0121-v4-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-0121-v4-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-0121-v4-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-0121-v4-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-0121-v4-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-0121-v4-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-0121-v4-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-0121-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-0121-v4-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-0121-v4-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-0121-v4-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-0121-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-0121-v4-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-0121-v4-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-0121-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-0121-v4-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-02-full-0121-v4-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-02-full-0121-v4-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-02-full-0121-v4-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-02-full-0121-v4-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-02-full-0121-v4-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-02-full-0121-v4-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-02-full-0121-v4-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-02-full-0121-v4-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-02-full-0121-v4-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-02-full-0121-v4-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-02-full-0121-v4-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-02-full-0121-v4-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-02-full-0121-v4-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-02-full-0121-v4-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-02-full-0121-v4-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-02-full-0121-v4-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-02-full-0121-v4-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-02-full-0121-v4-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-02-full-0121-v4-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-02-full-0121-v4-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-02-full-0121-v4-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-02-full-0121-v4-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-02-full-0121-v4-mkmlizer: Downloaded to shared memory in 74.647s
junhua024-chai-02-full-0121-v4-mkmlizer: Checking if junhua024/chai_02_full_0121 already exists in ChaiML
junhua024-chai-02-full-0121-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp2d_k5xrj, device:0
junhua024-chai-02-full-0121-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-02-full-0121-v4-mkmlizer: quantized model in 31.145s
junhua024-chai-02-full-0121-v4-mkmlizer: Processed model junhua024/chai_02_full_0121 in 105.877s
junhua024-chai-02-full-0121-v4-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-0121-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-0121-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-0121-v4/nvidia
junhua024-chai-02-full-0121-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-0121-v4/nvidia/config.json
junhua024-chai-02-full-0121-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-0121-v4/nvidia/special_tokens_map.json
junhua024-chai-02-full-0121-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-0121-v4/nvidia/tokenizer_config.json
junhua024-chai-02-full-0121-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-0121-v4/nvidia/tokenizer.json
junhua024-chai-02-full-0121-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-0121-v4/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-02-full-0121-v4-mkmlizer completed after 128.59s with status: succeeded
Stopping job with name junhua024-chai-02-full-0121-v4-mkmlizer
Pipeline stage MKMLizer completed in 129.13s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
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Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-02-full-0121-v4
Waiting for inference service junhua024-chai-02-full-0121-v4 to be ready
Inference service junhua024-chai-02-full-0121-v4 ready after 271.0179374217987s
Pipeline stage MKMLDeployer completed in 271.65s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.5091190338134766s
Received healthy response to inference request in 1.6699490547180176s
Received healthy response to inference request in 1.832078456878662s
Received healthy response to inference request in 1.5699048042297363s
Received healthy response to inference request in 1.6586341857910156s
5 requests
0 failed requests
5th percentile: 1.587650680541992
10th percentile: 1.605396556854248
20th percentile: 1.6408883094787599
30th percentile: 1.660897159576416
40th percentile: 1.6654231071472168
50th percentile: 1.6699490547180176
60th percentile: 1.7348008155822754
70th percentile: 1.7996525764465332
80th percentile: 1.9674865722656252
90th percentile: 2.238302803039551
95th percentile: 2.3737109184265135
99th percentile: 2.482037410736084
mean time: 1.8479371070861816
Pipeline stage StressChecker completed in 10.71s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.83s
Shutdown handler de-registered
junhua024-chai-02-full-0121_v4 status is now deployed due to DeploymentManager action
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Skipping teardown as no inference service was successfully deployed
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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-02-full-0121-v4-profiler
Waiting for inference service junhua024-chai-02-full-0121-v4-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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5715.13s
Shutdown handler de-registered
junhua024-chai-02-full-0121_v4 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full-0121_v4 status is now torndown due to DeploymentManager action
junhua024-chai-02-full-0121_v4 status is now torndown due to DeploymentManager action