junhua024-chai-1-full-066126

developer_uid: junhua024
submission_id: junhua024-chai-1-full-066126_v90
model_name: junhua024-chai-1-full-066126_v90
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-16T02:36:41+00:00
num_battles: 8258
num_wins: 3996
celo_rating: 1278.71
family_friendly_score: 0.5529999999999999
family_friendly_standard_error: 0.0070312303333058285
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': 0.6041631808984973, 'latency_mean': 1.6550805342197419, 'latency_p50': 1.6608691215515137, 'latency_p90': 1.826350998878479}, {'batch_size': 3, 'throughput': 1.094584647766732, 'latency_mean': 2.727125811576843, 'latency_p50': 2.7219936847686768, 'latency_p90': 3.021328067779541}, {'batch_size': 5, 'throughput': 1.3065217862074243, 'latency_mean': 3.8058219039440155, 'latency_p50': 3.813302159309387, 'latency_p90': 4.218863153457641}, {'batch_size': 6, 'throughput': 1.386530956655878, 'latency_mean': 4.298728603124618, 'latency_p50': 4.304249167442322, 'latency_p90': 4.731943392753601}, {'batch_size': 8, 'throughput': 1.4444375589339855, 'latency_mean': 5.507240195274353, 'latency_p50': 5.499138355255127, 'latency_p90': 6.250068593025207}, {'batch_size': 10, 'throughput': 1.4755383767586594, 'latency_mean': 6.727315030097961, 'latency_p50': 6.715855002403259, 'latency_p90': 7.5297253131866455}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066126_v90
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.3
us_pacific_date: 2025-07-15
win_ratio: 0.48389440542504236
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-066126-v90-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v90-mkmlizer to finish
junhua024-chai-1-full-066126-v90-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-066126-v90-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v90-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v90-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v90-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v90-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v90-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v90-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v90-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v90-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v90-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v90-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v90-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v90-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v90-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v90-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v90-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v90-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-066126-v90-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-066126-v90-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-066126-v90-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-066126-v90-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-066126-v90-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-066126-v90-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-066126-v90-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-066126-v90-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-066126-v90-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-066126-v90-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-066126-v90-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-066126-v90-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-066126-v90-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-066126-v90-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-066126-v90-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-066126-v90-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-066126-v90-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-066126-v90-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-066126-v90-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-066126-v90-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-066126-v90-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-066126-v90-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-066126-v90-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-066126-v90-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-066126-v90-mkmlizer: Downloaded to shared memory in 84.794s
junhua024-chai-1-full-066126-v90-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v90-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpxgqvoig6, device:0
junhua024-chai-1-full-066126-v90-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v90-mkmlizer: quantized model in 32.075s
junhua024-chai-1-full-066126-v90-mkmlizer: Processed model junhua024/chai-1-full-066126 in 116.958s
junhua024-chai-1-full-066126-v90-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v90-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v90-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v90/nvidia
junhua024-chai-1-full-066126-v90-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v90/nvidia/config.json
junhua024-chai-1-full-066126-v90-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v90/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v90-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v90/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v90-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v90/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v90-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v90/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v90-mkmlizer: 
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Job junhua024-chai-1-full-066126-v90-mkmlizer completed after 139.5s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v90-mkmlizer
Pipeline stage MKMLizer completed in 140.00s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v90
Waiting for inference service junhua024-chai-1-full-066126-v90 to be ready
Inference service junhua024-chai-1-full-066126-v90 ready after 271.50744915008545s
Pipeline stage MKMLDeployer completed in 271.96s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3016436100006104s
Received healthy response to inference request in 1.756899356842041s
Received healthy response to inference request in 1.6128902435302734s
Received healthy response to inference request in 1.5417697429656982s
Received healthy response to inference request in 1.7181200981140137s
5 requests
0 failed requests
5th percentile: 1.5559938430786133
10th percentile: 1.5702179431915284
20th percentile: 1.5986661434173584
30th percentile: 1.6339362144470215
40th percentile: 1.6760281562805175
50th percentile: 1.7181200981140137
60th percentile: 1.7336318016052246
70th percentile: 1.7491435050964355
80th percentile: 1.865848207473755
90th percentile: 2.083745908737183
95th percentile: 2.1926947593688966
99th percentile: 2.2798538398742676
mean time: 1.7862646102905273
Pipeline stage StressChecker completed in 11.13s
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 0.80s
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 0.86s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v90 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 0.13s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-066126-v90-profiler
Waiting for inference service junhua024-chai-1-full-066126-v90-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 5403.19s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v90 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v90 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v90 status is now torndown due to DeploymentManager action