junhua024-chai-06-full-02102

developer_uid: junhua024

submission_id: junhua024-chai-06-full-02102_v3

model_name: junhua024-chai-06-full-02102_v3

model_group: junhua024/chai_06_full_0

status: torndown

timestamp: 2025-07-16T22:24:44+00:00

num_battles: 9793

num_wins: 4805

celo_rating: 1276.54

family_friendly_score: 0.5462

family_friendly_standard_error: 0.007040817566163747

submission_type: basic

model_repo: junhua024/chai_06_full_02102

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': 0.5980886038738547, 'latency_mean': 1.6718107426166535, 'latency_p50': 1.6593588590621948, 'latency_p90': 1.8462934494018555}, {'batch_size': 3, 'throughput': 1.080759016258538, 'latency_mean': 2.773030116558075, 'latency_p50': 2.7734391689300537, 'latency_p90': 3.0824142217636106}, {'batch_size': 5, 'throughput': 1.3008357580319523, 'latency_mean': 3.8236894464492797, 'latency_p50': 3.8189624547958374, 'latency_p90': 4.277461290359497}, {'batch_size': 6, 'throughput': 1.3744185058611809, 'latency_mean': 4.335991652011871, 'latency_p50': 4.317296147346497, 'latency_p90': 4.855820608139038}, {'batch_size': 8, 'throughput': 1.4243948455287492, 'latency_mean': 5.5778614985942845, 'latency_p50': 5.58202338218689, 'latency_p90': 6.306372666358948}, {'batch_size': 10, 'throughput': 1.476038791661666, 'latency_mean': 6.719238545894623, 'latency_p50': 6.73929762840271, 'latency_p90': 7.528837466239929}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-06-full-02102_v3

is_internal_developer: False

language_model: junhua024/chai_06_full_02102

model_size: 13B

ranking_group: single

throughput_3p7s: 1.29

us_pacific_date: 2025-07-16

win_ratio: 0.49065659144286733

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-02102-v3-mkmlizer
Waiting for job on junhua024-chai-06-full-02102-v3-mkmlizer to finish
junhua024-chai-06-full-02102-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-06-full-02102-v3-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-02102-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-02102-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-02102-v3-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-02102-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-02102-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-02102-v3-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-02102-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-02102-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-02102-v3-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-02102-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-02102-v3-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-02102-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-02102-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-02102-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-02102-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-02102-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-02102-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-02102-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-02102-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-02102-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-02102-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-02102-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-02102-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-02102-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-02102-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-02102-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-02102-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-02102-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-02102-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-02102-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-02102-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-02102-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-02102-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-02102-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-02102-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-02102-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-02102-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-02102-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-02102-v3-mkmlizer: Downloaded to shared memory in 79.862s
junhua024-chai-06-full-02102-v3-mkmlizer: Checking if junhua024/chai_06_full_02102 already exists in ChaiML
junhua024-chai-06-full-02102-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpqwpuan23, device:0
junhua024-chai-06-full-02102-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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-02102-v3-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-02102-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-02102-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-02102-v3/nvidia
junhua024-chai-06-full-02102-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-02102-v3/nvidia/config.json
junhua024-chai-06-full-02102-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-02102-v3/nvidia/special_tokens_map.json
junhua024-chai-06-full-02102-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-02102-v3/nvidia/tokenizer_config.json
junhua024-chai-06-full-02102-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-02102-v3/nvidia/tokenizer.json
junhua024-chai-06-full-02102-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-02102-v3/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-02102-v3-mkmlizer: 
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Job junhua024-chai-06-full-02102-v3-mkmlizer completed after 139.58s with status: succeeded
Stopping job with name junhua024-chai-06-full-02102-v3-mkmlizer
Pipeline stage MKMLizer completed in 140.12s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.20s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-06-full-02102-v3
Waiting for inference service junhua024-chai-06-full-02102-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)
Inference service junhua024-chai-06-full-02102-v3 ready after 291.13500022888184s
Pipeline stage MKMLDeployer completed in 291.72s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.218200206756592s
Received healthy response to inference request in 1.8682408332824707s
Received healthy response to inference request in 1.6084380149841309s
Received healthy response to inference request in 1.5079045295715332s
Received healthy response to inference request in 1.884606122970581s
5 requests
0 failed requests
5th percentile: 1.5280112266540526
10th percentile: 1.5481179237365723
20th percentile: 1.5883313179016114
30th percentile: 1.660398578643799
40th percentile: 1.7643197059631348
50th percentile: 1.8682408332824707
60th percentile: 1.874786949157715
70th percentile: 1.881333065032959
80th percentile: 1.9513249397277832
90th percentile: 2.0847625732421875
95th percentile: 2.1514813899993896
99th percentile: 2.204856443405151
mean time: 1.8174779415130615
Pipeline stage StressChecker completed in 11.01s
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 0.72s
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 0.71s
Shutdown handler de-registered
junhua024-chai-06-full-02102_v3 status is now deployed due to DeploymentManager action
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 8094.51s
Shutdown handler de-registered
junhua024-chai-06-full-02102_v3 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-02102_v3 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-02102_v3 status is now torndown due to DeploymentManager action