junhua024-chai-1-full-002200

developer_uid: junhua024

submission_id: junhua024-chai-1-full-002200_v1

model_name: junhua024-chai-1-full-002200_v1

model_group: junhua024/chai_1-full_00

status: torndown

timestamp: 2025-06-28T17:42:29+00:00

num_battles: 7005

num_wins: 3119

celo_rating: 1245.64

family_friendly_score: 0.6024

family_friendly_standard_error: 0.006921188337272726

submission_type: basic

model_repo: junhua024/chai_1-full_002200

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': 0.5982684683822327, 'latency_mean': 1.6713058841228485, 'latency_p50': 1.6703063249588013, 'latency_p90': 1.8519506692886352}, {'batch_size': 3, 'throughput': 1.073700030441055, 'latency_mean': 2.7829845666885378, 'latency_p50': 2.7640199661254883, 'latency_p90': 3.0517227411270142}, {'batch_size': 5, 'throughput': 1.2887778344447613, 'latency_mean': 3.8568245708942412, 'latency_p50': 3.8236602544784546, 'latency_p90': 4.356705737113953}, {'batch_size': 6, 'throughput': 1.343408956021058, 'latency_mean': 4.435836831331253, 'latency_p50': 4.443583846092224, 'latency_p90': 4.940848016738892}, {'batch_size': 8, 'throughput': 1.4104185538243452, 'latency_mean': 5.6340194046497345, 'latency_p50': 5.626620531082153, 'latency_p90': 6.286583423614502}, {'batch_size': 10, 'throughput': 1.4278152903607433, 'latency_mean': 6.933971463441849, 'latency_p50': 6.985792756080627, 'latency_p90': 7.738081431388855}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-002200_v1

is_internal_developer: False

language_model: junhua024/chai_1-full_002200

model_size: 13B

ranking_group: single

throughput_3p7s: 1.27

us_pacific_date: 2025-06-28

win_ratio: 0.4452533904354033

generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, '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-002200-v1-mkmlizer
Waiting for job on junhua024-chai-1-full-002200-v1-mkmlizer to finish
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junhua024-chai-1-full-002200-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-002200-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-002200-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002200-v1-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-002200-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-002200-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-002200-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-002200-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002200-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-002200-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-002200-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002200-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-002200-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-002200-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-002200-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002200-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-002200-v1-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-002200-v1-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-002200-v1-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-002200-v1-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-002200-v1-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-002200-v1-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-002200-v1-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-002200-v1-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-002200-v1-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-002200-v1-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-002200-v1-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-002200-v1-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-002200-v1-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-002200-v1-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-002200-v1-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-002200-v1-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-002200-v1-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-002200-v1-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-002200-v1-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-002200-v1-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-002200-v1-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-002200-v1-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-002200-v1-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-002200-v1-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-002200-v1-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-002200-v1-mkmlizer: Downloaded to shared memory in 137.656s
junhua024-chai-1-full-002200-v1-mkmlizer: Checking if junhua024/chai_1-full_002200 already exists in ChaiML
junhua024-chai-1-full-002200-v1-mkmlizer: Creating repo ChaiML/chai_1-full_002200 and uploading /tmp/tmpkhyys2h2 to it
Failed to get response for submission junhua024-chai-1-full-00220_v2: HTTPConnectionPool(host='junhua024-chai-1-full-00220-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-1-full-002200-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpkhyys2h2, device:0
junhua024-chai-1-full-002200-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-002200-v1-mkmlizer: quantized model in 31.856s
junhua024-chai-1-full-002200-v1-mkmlizer: Processed model junhua024/chai_1-full_002200 in 251.831s
junhua024-chai-1-full-002200-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-002200-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-002200-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-002200-v1
junhua024-chai-1-full-002200-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-002200-v1/config.json
junhua024-chai-1-full-002200-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-002200-v1/special_tokens_map.json
junhua024-chai-1-full-002200-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-002200-v1/tokenizer_config.json
junhua024-chai-1-full-002200-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-002200-v1/tokenizer.json
junhua024-chai-1-full-002200-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-002200-v1/flywheel_model.0.safetensors
junhua024-chai-1-full-002200-v1-mkmlizer: 
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Job junhua024-chai-1-full-002200-v1-mkmlizer completed after 280.83s with status: succeeded
Stopping job with name junhua024-chai-1-full-002200-v1-mkmlizer
Pipeline stage MKMLizer completed in 281.36s
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-002200-v1
Waiting for inference service junhua024-chai-1-full-002200-v1 to be ready
Inference service junhua024-chai-1-full-002200-v1 ready after 170.61120676994324s
Pipeline stage MKMLDeployer completed in 171.44s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.331472158432007s
Received healthy response to inference request in 1.4115803241729736s
Received healthy response to inference request in 1.5561342239379883s
Received healthy response to inference request in 1.8966474533081055s
Received healthy response to inference request in 1.366873025894165s
5 requests
0 failed requests
5th percentile: 1.3758144855499268
10th percentile: 1.3847559452056886
20th percentile: 1.4026388645172119
30th percentile: 1.4404911041259765
40th percentile: 1.4983126640319824
50th percentile: 1.5561342239379883
60th percentile: 1.6923395156860352
70th percentile: 1.828544807434082
80th percentile: 1.9836123943328858
90th percentile: 2.157542276382446
95th percentile: 2.2445072174072265
99th percentile: 2.3140791702270507
mean time: 1.712541437149048
Pipeline stage StressChecker completed in 10.27s
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 0.77s
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 0.79s
Shutdown handler de-registered
junhua024-chai-1-full-002200_v1 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 5413.60s
Shutdown handler de-registered
junhua024-chai-1-full-002200_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-002200_v1 status is now torndown due to DeploymentManager action