junhua024-chai-1-full-002

developer_uid: junhua024
submission_id: junhua024-chai-1-full-002_v10
model_name: junhua024-chai-1-full-002_v10
model_group: junhua024/chai_1-full_00
status: torndown
timestamp: 2025-06-29T04:23:36+00:00
num_battles: 9155
num_wins: 4220
celo_rating: 1251.25
family_friendly_score: 0.5851999999999999
family_friendly_standard_error: 0.006967653263474008
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': 0.5999805515394672, 'latency_mean': 1.6665984976291657, 'latency_p50': 1.6590720415115356, 'latency_p90': 1.8401991844177246}, {'batch_size': 3, 'throughput': 1.0842813411942738, 'latency_mean': 2.764471998214722, 'latency_p50': 2.747320532798767, 'latency_p90': 3.081995940208435}, {'batch_size': 5, 'throughput': 1.296573772374439, 'latency_mean': 3.8331215393543245, 'latency_p50': 3.800904631614685, 'latency_p90': 4.320222735404968}, {'batch_size': 6, 'throughput': 1.3435332576000452, 'latency_mean': 4.433794077634811, 'latency_p50': 4.41092574596405, 'latency_p90': 4.981950664520264}, {'batch_size': 8, 'throughput': 1.416468182857361, 'latency_mean': 5.615318294763565, 'latency_p50': 5.68191933631897, 'latency_p90': 6.316751790046692}, {'batch_size': 10, 'throughput': 1.4411801636251786, 'latency_mean': 6.887895243167877, 'latency_p50': 6.987772464752197, 'latency_p90': 7.689408922195435}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-002_v10
is_internal_developer: False
language_model: junhua024/chai_1-full_002
model_size: 13B
ranking_group: single
throughput_3p7s: 1.28
us_pacific_date: 2025-06-28
win_ratio: 0.4609503003823048
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.025, 'top_k': 40, '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-v10-mkmlizer
Waiting for job on junhua024-chai-1-full-002-v10-mkmlizer to finish
junhua024-chai-1-full-002-v10-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-002-v10-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-002-v10-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v10-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-002-v10-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-002-v10-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-002-v10-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-002-v10-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v10-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-002-v10-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-002-v10-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v10-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-002-v10-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-002-v10-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-002-v10-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v10-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-002-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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 junhua024-chai-1-full-06_v1: HTTPConnectionPool(host='junhua024-chai-1-full-06-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-1-full-002-v10-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-v10-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-v10-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-v10-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-v10-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-v10-mkmlizer: Downloaded to shared memory in 413.295s
junhua024-chai-1-full-002-v10-mkmlizer: Checking if junhua024/chai_1-full_002 already exists in ChaiML
junhua024-chai-1-full-002-v10-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpjal8ox8g, device:0
junhua024-chai-1-full-002-v10-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-002-v10-mkmlizer: quantized model in 31.275s
junhua024-chai-1-full-002-v10-mkmlizer: Processed model junhua024/chai_1-full_002 in 444.659s
junhua024-chai-1-full-002-v10-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-002-v10-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v10/config.json
junhua024-chai-1-full-002-v10-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v10/special_tokens_map.json
junhua024-chai-1-full-002-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v10/tokenizer_config.json
junhua024-chai-1-full-002-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v10/tokenizer.json
junhua024-chai-1-full-002-v10-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-002-v10/flywheel_model.0.safetensors
junhua024-chai-1-full-002-v10-mkmlizer: 
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Job junhua024-chai-1-full-002-v10-mkmlizer completed after 473.87s with status: succeeded
Stopping job with name junhua024-chai-1-full-002-v10-mkmlizer
Pipeline stage MKMLizer completed in 474.40s
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-002-v10
Waiting for inference service junhua024-chai-1-full-002-v10 to be ready
Failed to get response for submission junhua024-chai-1-full-06_v1: HTTPConnectionPool(host='junhua024-chai-1-full-06-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-1-full-002-v10 ready after 170.5824842453003s
Pipeline stage MKMLDeployer completed in 171.37s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.291276454925537s
Received healthy response to inference request in 1.8244807720184326s
Received healthy response to inference request in 2.024488925933838s
Received healthy response to inference request in 1.5434372425079346s
Received healthy response to inference request in 1.45987868309021s
5 requests
0 failed requests
5th percentile: 1.4765903949737549
10th percentile: 1.4933021068572998
20th percentile: 1.5267255306243896
30th percentile: 1.5996459484100343
40th percentile: 1.7120633602142334
50th percentile: 1.8244807720184326
60th percentile: 1.9044840335845947
70th percentile: 1.9844872951507568
80th percentile: 2.0778464317321776
90th percentile: 2.1845614433288576
95th percentile: 2.2379189491271974
99th percentile: 2.2806049537658692
mean time: 1.8287124156951904
Pipeline stage StressChecker completed in 10.53s
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 0.69s
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Running pipeline stage TriggerMKMLProfilingPipeline
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starting trigger_guanaco_pipeline args=%s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.95s
Shutdown handler de-registered
junhua024-chai-1-full-002_v10 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 0.14s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.15s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-002-v10-profiler
Waiting for inference service junhua024-chai-1-full-002-v10-profiler to be ready
Shutdown handler registered
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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
Pipeline stage OfflineFamilyFriendlyScorer completed in 5063.33s
Shutdown handler de-registered
junhua024-chai-1-full-002_v10 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-002_v10 status is now torndown due to DeploymentManager action