junhua024-chai-1-full-066126

developer_uid: junhua024
submission_id: junhua024-chai-1-full-066126_v40
model_name: junhua024-chai-1-full-066126_v40
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-14T17:34:17+00:00
num_battles: 8208
num_wins: 3943
celo_rating: 1279.29
family_friendly_score: 0.548
family_friendly_standard_error: 0.0070384089111105224
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': 0.593365120431183, 'latency_mean': 1.6852022981643677, 'latency_p50': 1.6722606420516968, 'latency_p90': 1.85604887008667}, {'batch_size': 3, 'throughput': 1.074608169323488, 'latency_mean': 2.7864180123806, 'latency_p50': 2.802070736885071, 'latency_p90': 3.0772884607315065}, {'batch_size': 5, 'throughput': 1.279728914845881, 'latency_mean': 3.8807035303115844, 'latency_p50': 3.912540078163147, 'latency_p90': 4.34358127117157}, {'batch_size': 6, 'throughput': 1.3522513382735257, 'latency_mean': 4.414558392763138, 'latency_p50': 4.410166501998901, 'latency_p90': 4.976413106918335}, {'batch_size': 8, 'throughput': 1.3968737932375581, 'latency_mean': 5.68913757443428, 'latency_p50': 5.714049935340881, 'latency_p90': 6.364112758636474}, {'batch_size': 10, 'throughput': 1.430175434447298, 'latency_mean': 6.927776210308075, 'latency_p50': 6.923573851585388, 'latency_p90': 7.731674575805664}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066126_v40
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: 0.4803849902534113
generation_params: {'temperature': 1.0, 'top_p': 0.95, '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-v40-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v40-mkmlizer to finish
junhua024-chai-1-full-066126-v40-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-066126-v40-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v40-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v40-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v40-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v40-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v40-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v40-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v40-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v40-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v40-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v40-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v40-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v40-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v40-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v40-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v40-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v40-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-v40-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-v40-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-v40-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-v40-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-v40-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-v40-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-v40-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-v40-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-v40-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-v40-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-v40-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-v40-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-v40-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-v40-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-v40-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-v40-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-v40-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-v40-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-v40-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-v40-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-v40-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-v40-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-v40-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-v40-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-v40-mkmlizer: Downloaded to shared memory in 73.810s
junhua024-chai-1-full-066126-v40-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v40-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpqoo0x556, device:0
junhua024-chai-1-full-066126-v40-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v40-mkmlizer: quantized model in 31.539s
junhua024-chai-1-full-066126-v40-mkmlizer: Processed model junhua024/chai-1-full-066126 in 105.437s
junhua024-chai-1-full-066126-v40-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v40-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v40-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v40/nvidia
junhua024-chai-1-full-066126-v40-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v40/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v40-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v40/nvidia/config.json
junhua024-chai-1-full-066126-v40-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v40/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v40-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v40/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v40-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v40/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v40-mkmlizer: 
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Job junhua024-chai-1-full-066126-v40-mkmlizer completed after 128.35s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v40-mkmlizer
Pipeline stage MKMLizer completed in 128.93s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v40
Waiting for inference service junhua024-chai-1-full-066126-v40 to be ready
Failed to get response for submission junhua024-chai-1-full-066126_v39: HTTPConnectionPool(host='junhua024-chai-1-full-066126-v39-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-1-full-066126_v39: HTTPConnectionPool(host='junhua024-chai-1-full-066126-v39-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
Inference service junhua024-chai-1-full-066126-v40 ready after 231.12000107765198s
Pipeline stage MKMLDeployer completed in 231.74s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4704160690307617s
Received healthy response to inference request in 1.797492265701294s
Failed to get response for submission albertwang8192-2025-07-14-0_v1: HTTPConnectionPool(host='albertwang8192-2025-07-14-0-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Received healthy response to inference request in 1.8034822940826416s
Received healthy response to inference request in 1.5306355953216553s
Received healthy response to inference request in 1.7413811683654785s
5 requests
0 failed requests
5th percentile: 1.57278470993042
10th percentile: 1.6149338245391847
20th percentile: 1.6992320537567138
30th percentile: 1.7526033878326417
40th percentile: 1.7750478267669678
50th percentile: 1.797492265701294
60th percentile: 1.799888277053833
70th percentile: 1.8022842884063721
80th percentile: 1.9368690490722658
90th percentile: 2.203642559051514
95th percentile: 2.337029314041138
99th percentile: 2.443738718032837
mean time: 1.8686814785003663
Pipeline stage StressChecker completed in 11.43s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.90s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.75s
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junhua024-chai-1-full-066126_v40 status is now deployed due to DeploymentManager action
Failed to get response for submission albertwang8192-2025-07-14-0_v1: HTTPConnectionPool(host='albertwang8192-2025-07-14-0-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Shutdown handler registered
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
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Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
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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
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Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 8113.20s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v40 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v40 status is now torndown due to DeploymentManager action