junhua024-chai-1-full-066126

developer_uid: junhua024
submission_id: junhua024-chai-1-full-066126_v76
model_name: junhua024-chai-1-full-066126_v76
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-15T16:52:58+00:00
num_battles: 8462
num_wins: 4119
celo_rating: 1273.66
family_friendly_score: 0.5544
family_friendly_standard_error: 0.0070290915486995904
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': 0.5908565217255547, 'latency_mean': 1.6923459541797639, 'latency_p50': 1.6908934116363525, 'latency_p90': 1.8700687885284424}, {'batch_size': 3, 'throughput': 1.0561862164390416, 'latency_mean': 2.8265713357925417, 'latency_p50': 2.8426586389541626, 'latency_p90': 3.1036978721618653}, {'batch_size': 5, 'throughput': 1.2625271661276425, 'latency_mean': 3.9380490601062776, 'latency_p50': 3.9246991872787476, 'latency_p90': 4.5330482721328735}, {'batch_size': 6, 'throughput': 1.324266593393788, 'latency_mean': 4.503593413829804, 'latency_p50': 4.528169512748718, 'latency_p90': 5.0504763364791865}, {'batch_size': 8, 'throughput': 1.3860236869381573, 'latency_mean': 5.73086321592331, 'latency_p50': 5.736250162124634, 'latency_p90': 6.424277997016906}, {'batch_size': 10, 'throughput': 1.4106040412252143, 'latency_mean': 7.036619180440903, 'latency_p50': 7.096558451652527, 'latency_p90': 7.943396210670471}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066126_v76
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.24
us_pacific_date: 2025-07-15
win_ratio: 0.4867643583077287
generation_params: {'temperature': 1.0, 'top_p': 0.9, 'min_p': 0.1, '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-v76-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v76-mkmlizer to finish
junhua024-chai-1-full-066126-v76-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-066126-v76-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v76-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v76-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v76-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v76-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v76-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v76-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v76-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v76-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v76-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v76-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v76-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v76-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v76-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v76-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v76-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-v76-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-v76-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-v76-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-v76-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-v76-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-v76-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-v76-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-v76-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-v76-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-v76-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-v76-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-v76-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-v76-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-v76-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-v76-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-v76-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-v76-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-v76-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-v76-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-v76-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-v76-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-v76-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-v76-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-v76-mkmlizer: Downloaded to shared memory in 85.657s
junhua024-chai-1-full-066126-v76-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v76-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp8d0aya1j, device:0
junhua024-chai-1-full-066126-v76-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v76-mkmlizer: quantized model in 31.989s
junhua024-chai-1-full-066126-v76-mkmlizer: Processed model junhua024/chai-1-full-066126 in 117.739s
junhua024-chai-1-full-066126-v76-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v76-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v76-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v76/nvidia
junhua024-chai-1-full-066126-v76-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v76/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v76-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v76/nvidia/config.json
Failed to get response for submission zmeeks-capitanito-49-3680_v2: HTTPConnectionPool(host='zmeeks-capitanito-49-3680-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-1-full-066126-v76-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v76/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v76-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v76/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v76-mkmlizer: 
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Job junhua024-chai-1-full-066126-v76-mkmlizer completed after 148.33s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v76-mkmlizer
Pipeline stage MKMLizer completed in 149.19s
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-066126-v76
Waiting for inference service junhua024-chai-1-full-066126-v76 to be ready
Failed to get response for submission zmeeks-capitanito-49-3680_v2: HTTPConnectionPool(host='zmeeks-capitanito-49-3680-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Failed to get response for submission zmeeks-capitanito-49-3680_v2: HTTPConnectionPool(host='zmeeks-capitanito-49-3680-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-1-full-066126-v76 ready after 241.01804494857788s
Pipeline stage MKMLDeployer completed in 241.50s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3418502807617188s
Received healthy response to inference request in 1.7781994342803955s
Received healthy response to inference request in 1.6287100315093994s
Received healthy response to inference request in 1.8385086059570312s
Received healthy response to inference request in 1.9385671615600586s
5 requests
0 failed requests
5th percentile: 1.6586079120635986
10th percentile: 1.6885057926177978
20th percentile: 1.7483015537261963
30th percentile: 1.7902612686157227
40th percentile: 1.814384937286377
50th percentile: 1.8385086059570312
60th percentile: 1.8785320281982423
70th percentile: 1.918555450439453
80th percentile: 2.0192237854003907
90th percentile: 2.1805370330810545
95th percentile: 2.2611936569213866
99th percentile: 2.3257189559936524
mean time: 1.9051671028137207
Pipeline stage StressChecker completed in 11.57s
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 0.68s
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 0.96s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v76 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 0.14s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-066126-v76-profiler
Waiting for inference service junhua024-chai-1-full-066126-v76-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
Pipeline stage OfflineFamilyFriendlyScorer completed in 3496.65s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v76 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v76 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v76 status is now torndown due to DeploymentManager action