junhua024-chai-1-full-066126

developer_uid: junhua024
submission_id: junhua024-chai-1-full-066126_v21
model_name: junhua024-chai-1-full-066126_v21
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-14T08:13:39+00:00
num_battles: 7952
num_wins: 3836
celo_rating: 1271.11
family_friendly_score: 0.5512
family_friendly_standard_error: 0.007033897354951947
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': 0.593687613796564, 'latency_mean': 1.6842467749118806, 'latency_p50': 1.6804574728012085, 'latency_p90': 1.8535064220428468}, {'batch_size': 3, 'throughput': 1.0583155523533359, 'latency_mean': 2.8240889966487885, 'latency_p50': 2.822263240814209, 'latency_p90': 3.091352605819702}, {'batch_size': 5, 'throughput': 1.2816932486744932, 'latency_mean': 3.8814595353603365, 'latency_p50': 3.891992926597595, 'latency_p90': 4.350905728340149}, {'batch_size': 6, 'throughput': 1.33586320181459, 'latency_mean': 4.462480875253678, 'latency_p50': 4.471605181694031, 'latency_p90': 4.9770142316818236}, {'batch_size': 8, 'throughput': 1.3956506313029593, 'latency_mean': 5.698355976343155, 'latency_p50': 5.673342347145081, 'latency_p90': 6.427241802215576}, {'batch_size': 10, 'throughput': 1.4322005362252992, 'latency_mean': 6.923866728544235, 'latency_p50': 6.971708178520203, 'latency_p90': 7.752211093902588}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066126_v21
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.26
us_pacific_date: 2025-07-14
win_ratio: 0.4823943661971831
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 7, '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-v21-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v21-mkmlizer to finish
junhua024-chai-1-full-066126-v21-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-066126-v21-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v21-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v21-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v21-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v21-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v21-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v21-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v21-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v21-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v21-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v21-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v21-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v21-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v21-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v21-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v21-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v21-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-v21-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-v21-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-v21-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-v21-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-v21-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-v21-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-v21-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-v21-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-v21-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-v21-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-v21-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-v21-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-v21-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-v21-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-v21-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-v21-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-v21-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-v21-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-v21-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-v21-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-v21-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-v21-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-v21-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-v21-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-v21-mkmlizer: Downloaded to shared memory in 74.842s
junhua024-chai-1-full-066126-v21-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v21-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp7itebi7z, device:0
junhua024-chai-1-full-066126-v21-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v21-mkmlizer: quantized model in 31.822s
junhua024-chai-1-full-066126-v21-mkmlizer: Processed model junhua024/chai-1-full-066126 in 106.751s
junhua024-chai-1-full-066126-v21-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v21-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v21-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v21/nvidia
junhua024-chai-1-full-066126-v21-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v21/nvidia/config.json
junhua024-chai-1-full-066126-v21-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v21/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v21-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v21/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v21-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v21/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v21-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v21/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v21-mkmlizer: 
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Job junhua024-chai-1-full-066126-v21-mkmlizer completed after 127.86s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v21-mkmlizer
Pipeline stage MKMLizer completed in 128.37s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.21s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v21
Waiting for inference service junhua024-chai-1-full-066126-v21 to be ready
Failed to get response for submission junhua024-chai-1-full-066126_v19: ('http://junhua024-chai-1-full-066126-v19-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:39974->127.0.0.1:8080: read: connection reset by peer\n')
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service junhua024-chai-1-full-066126-v21 ready after 231.0459325313568s
Pipeline stage MKMLDeployer completed in 231.92s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3491530418395996s
Received healthy response to inference request in 1.819478988647461s
Received healthy response to inference request in 1.4891326427459717s
Received healthy response to inference request in 1.507521390914917s
Received healthy response to inference request in 1.7269067764282227s
5 requests
0 failed requests
5th percentile: 1.4928103923797607
10th percentile: 1.4964881420135498
20th percentile: 1.503843641281128
30th percentile: 1.551398468017578
40th percentile: 1.6391526222229005
50th percentile: 1.7269067764282227
60th percentile: 1.763935661315918
70th percentile: 1.8009645462036132
80th percentile: 1.9254137992858888
90th percentile: 2.1372834205627442
95th percentile: 2.2432182312011717
99th percentile: 2.327966079711914
mean time: 1.7784385681152344
Pipeline stage StressChecker completed in 10.75s
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 0.74s
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 1.16s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v21 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
Pipeline stage OfflineFamilyFriendlyScorer completed in 3001.31s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v21 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v21 status is now torndown due to DeploymentManager action