junhua024-chai-1-full-066126

developer_uid: junhua024
submission_id: junhua024-chai-1-full-066126_v38
model_name: junhua024-chai-1-full-066126_v38
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-14T15:54:14+00:00
num_battles: 9386
num_wins: 4505
celo_rating: 1276.7
family_friendly_score: 0.5444
family_friendly_standard_error: 0.0070431333935969155
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': 0.5921156053068091, 'latency_mean': 1.6886727571487428, 'latency_p50': 1.6881309747695923, 'latency_p90': 1.8557929515838623}, {'batch_size': 3, 'throughput': 1.055493778791396, 'latency_mean': 2.8368205070495605, 'latency_p50': 2.8368154764175415, 'latency_p90': 3.1218236446380616}, {'batch_size': 5, 'throughput': 1.2743742045261819, 'latency_mean': 3.8969534754753115, 'latency_p50': 3.869934320449829, 'latency_p90': 4.402300477027893}, {'batch_size': 6, 'throughput': 1.3347132156051296, 'latency_mean': 4.465628468990326, 'latency_p50': 4.442750096321106, 'latency_p90': 5.085720562934876}, {'batch_size': 8, 'throughput': 1.3820253450250595, 'latency_mean': 5.742101738452911, 'latency_p50': 5.763828277587891, 'latency_p90': 6.487695908546447}, {'batch_size': 10, 'throughput': 1.437394478230543, 'latency_mean': 6.904851932525634, 'latency_p50': 6.924138188362122, 'latency_p90': 7.843646717071533}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066126_v38
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.25
us_pacific_date: 2025-07-14
win_ratio: 0.4799701683358193
generation_params: {'temperature': 1.0, 'top_p': 0.92, '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-1-full-066126-v38-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v38-mkmlizer to finish
junhua024-chai-1-full-066126-v38-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-066126-v38-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v38-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v38-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v38-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v38-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v38-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v38-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v38-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v38-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v38-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v38-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v38-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v38-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v38-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v38-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v38-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-v38-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-v38-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-v38-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-v38-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 chaiml-gy-exp162-lipo-g_57472_v2: HTTPConnectionPool(host='chaiml-gy-exp162-lipo-g-57472-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-1-full-066126-v38-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-v38-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-v38-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-v38-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-v38-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-v38-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-v38-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-v38-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-v38-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-v38-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-v38-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-v38-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-v38-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-v38-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-v38-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-v38-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-v38-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-v38-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-v38-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-v38-mkmlizer: Downloaded to shared memory in 76.300s
junhua024-chai-1-full-066126-v38-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v38-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp1jrbjkcz, device:0
junhua024-chai-1-full-066126-v38-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v38-mkmlizer: quantized model in 31.356s
junhua024-chai-1-full-066126-v38-mkmlizer: Processed model junhua024/chai-1-full-066126 in 107.740s
junhua024-chai-1-full-066126-v38-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v38-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v38-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v38/nvidia
junhua024-chai-1-full-066126-v38-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v38/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v38-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v38/nvidia/config.json
junhua024-chai-1-full-066126-v38-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v38/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v38-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v38/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v38-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v38/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v38-mkmlizer: 
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Job junhua024-chai-1-full-066126-v38-mkmlizer completed after 135.36s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v38-mkmlizer
Pipeline stage MKMLizer completed in 137.09s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.34s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v38
Waiting for inference service junhua024-chai-1-full-066126-v38 to be ready
Inference service junhua024-chai-1-full-066126-v38 ready after 231.6372377872467s
Pipeline stage MKMLDeployer completed in 233.09s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.8886260986328125s
Received healthy response to inference request in 6.8021721839904785s
Received healthy response to inference request in 1.8114991188049316s
Received healthy response to inference request in 4.36521577835083s
Received healthy response to inference request in 2.3552308082580566s
5 requests
0 failed requests
5th percentile: 1.9202454566955567
10th percentile: 2.0289917945861817
20th percentile: 2.246484470367432
30th percentile: 2.461909866333008
40th percentile: 2.67526798248291
50th percentile: 2.8886260986328125
60th percentile: 3.479261970520019
70th percentile: 4.069897842407226
80th percentile: 4.8526070594787605
90th percentile: 5.8273896217346195
95th percentile: 6.314780902862548
99th percentile: 6.704693927764892
mean time: 3.644548797607422
%s, retrying in %s seconds...
Received healthy response to inference request in 1.7682209014892578s
Received healthy response to inference request in 1.8976998329162598s
Received healthy response to inference request in 1.8168063163757324s
Received healthy response to inference request in 1.8479766845703125s
Received healthy response to inference request in 1.972729206085205s
5 requests
0 failed requests
5th percentile: 1.7779379844665528
10th percentile: 1.7876550674438476
20th percentile: 1.8070892333984374
30th percentile: 1.8230403900146483
40th percentile: 1.8355085372924804
50th percentile: 1.8479766845703125
60th percentile: 1.8678659439086913
70th percentile: 1.8877552032470704
80th percentile: 1.9127057075500489
90th percentile: 1.9427174568176269
95th percentile: 1.957723331451416
99th percentile: 1.9697280311584473
mean time: 1.8606865882873536
Pipeline stage StressChecker completed in 35.55s
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 1.37s
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 1.78s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v38 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 0.16s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-066126-v38-profiler
Waiting for inference service junhua024-chai-1-full-066126-v38-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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
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 2825.87s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v38 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v38 status is now torndown due to DeploymentManager action