junhua024-chai-06-full-02098

developer_uid: junhua024
submission_id: junhua024-chai-06-full-02098_v3
model_name: junhua024-chai-06-full-02098_v3
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-16T22:22:38+00:00
num_battles: 9210
num_wins: 4408
celo_rating: 1271.95
family_friendly_score: 0.554
family_friendly_standard_error: 0.007029708386554879
submission_type: basic
model_repo: junhua024/chai_06_full_02098
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': 0.5983230436040388, 'latency_mean': 1.6712124788761138, 'latency_p50': 1.672458291053772, 'latency_p90': 1.8464954853057862}, {'batch_size': 3, 'throughput': 1.0737644826640143, 'latency_mean': 2.781275782585144, 'latency_p50': 2.7742722034454346, 'latency_p90': 3.0281955718994142}, {'batch_size': 5, 'throughput': 1.2969391762157754, 'latency_mean': 3.8333607745170593, 'latency_p50': 3.815221428871155, 'latency_p90': 4.3328742504119875}, {'batch_size': 6, 'throughput': 1.3643212064058046, 'latency_mean': 4.380089020729065, 'latency_p50': 4.385450720787048, 'latency_p90': 4.963302588462829}, {'batch_size': 8, 'throughput': 1.4161216751867132, 'latency_mean': 5.600999317169189, 'latency_p50': 5.600865125656128, 'latency_p90': 6.323672556877136}, {'batch_size': 10, 'throughput': 1.46136265082145, 'latency_mean': 6.782443113327027, 'latency_p50': 6.778947710990906, 'latency_p90': 7.513189220428466}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full-02098_v3
is_internal_developer: False
language_model: junhua024/chai_06_full_02098
model_size: 13B
ranking_group: single
throughput_3p7s: 1.28
us_pacific_date: 2025-07-16
win_ratio: 0.4786102062975027
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-06-full-02098-v3-mkmlizer
Waiting for job on junhua024-chai-06-full-02098-v3-mkmlizer to finish
junhua024-chai-06-full-02098-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-06-full-02098-v3-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-02098-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-02098-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-02098-v3-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-02098-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-02098-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-02098-v3-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-02098-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-02098-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-02098-v3-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-02098-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-02098-v3-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-02098-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-02098-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-02098-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-02098-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-02098-v3-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-06-full-02098-v3-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-06-full-02098-v3-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-06-full-02098-v3-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-06-full-02098-v3-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-06-full-02098-v3-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-06-full-02098-v3-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-06-full-02098-v3-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-06-full-02098_v2: HTTPConnectionPool(host='junhua024-chai-06-full-02098-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-06-full-02098-v3-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-06-full-02098-v3-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-06-full-02098-v3-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-06-full-02098-v3-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-06-full-02102_v1: HTTPConnectionPool(host='junhua024-chai-06-full-02102-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-06-full-02098-v3-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-06-full-02098-v3-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-06-full-02098-v3-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-06-full-02098-v3-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-06-full-02098-v3-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-06-full-02098-v3-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-06-full-02098-v3-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-06-full-02098-v3-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-06-full-02098-v3-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-06-full-02098-v3-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-06-full-02098-v3-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-06-full-02098-v3-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-06-full-02098-v3-mkmlizer: Downloaded to shared memory in 74.031s
junhua024-chai-06-full-02098-v3-mkmlizer: Checking if junhua024/chai_06_full_02098 already exists in ChaiML
junhua024-chai-06-full-02098-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpbrcrd1y9, device:0
junhua024-chai-06-full-02098-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-02098-v3-mkmlizer: quantized model in 30.994s
junhua024-chai-06-full-02098-v3-mkmlizer: Processed model junhua024/chai_06_full_02098 in 105.104s
junhua024-chai-06-full-02098-v3-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-02098-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-02098-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-02098-v3/nvidia
junhua024-chai-06-full-02098-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-02098-v3/nvidia/special_tokens_map.json
junhua024-chai-06-full-02098-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-02098-v3/nvidia/config.json
junhua024-chai-06-full-02098-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-02098-v3/nvidia/tokenizer_config.json
junhua024-chai-06-full-02098-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-02098-v3/nvidia/tokenizer.json
junhua024-chai-06-full-02098-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-02098-v3/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-02098-v3-mkmlizer: 
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Job junhua024-chai-06-full-02098-v3-mkmlizer completed after 128.8s with status: succeeded
Stopping job with name junhua024-chai-06-full-02098-v3-mkmlizer
Pipeline stage MKMLizer completed in 129.46s
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-06-full-02098-v3
Waiting for inference service junhua024-chai-06-full-02098-v3 to be ready
Failed to get response for submission junhua024-chai-06-full-02102_v1: HTTPConnectionPool(host='junhua024-chai-06-full-02102-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-06-full-02098_v2: HTTPConnectionPool(host='junhua024-chai-06-full-02098-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-06-full-02102_v1: HTTPConnectionPool(host='junhua024-chai-06-full-02102-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-06-full-02102_v1: HTTPConnectionPool(host='junhua024-chai-06-full-02102-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-06-full-02098_v2: HTTPConnectionPool(host='junhua024-chai-06-full-02098-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-06-full-02098-v3 ready after 371.44355273246765s
Pipeline stage MKMLDeployer completed in 372.07s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4146692752838135s
Received healthy response to inference request in 1.530569076538086s
Received healthy response to inference request in 1.5135648250579834s
Received healthy response to inference request in 1.819734811782837s
Received healthy response to inference request in 1.8090617656707764s
5 requests
0 failed requests
5th percentile: 1.516965675354004
10th percentile: 1.5203665256500245
20th percentile: 1.5271682262420654
30th percentile: 1.586267614364624
40th percentile: 1.6976646900177002
50th percentile: 1.8090617656707764
60th percentile: 1.8133309841156007
70th percentile: 1.8176002025604248
80th percentile: 1.9387217044830323
90th percentile: 2.1766954898834228
95th percentile: 2.295682382583618
99th percentile: 2.3908718967437745
mean time: 1.8175199508666993
Pipeline stage StressChecker completed in 10.62s
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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 0.67s
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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 0.70s
Shutdown handler de-registered
junhua024-chai-06-full-02098_v3 status is now deployed due to DeploymentManager action
Shutdown handler registered
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run pipeline stage %s
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-06-full-02098-v3-profiler
Waiting for inference service junhua024-chai-06-full-02098-v3-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 8316.14s
Shutdown handler de-registered
junhua024-chai-06-full-02098_v3 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-02098_v3 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-02098_v3 status is now torndown due to DeploymentManager action