junhua024-chai-1-full-066126

developer_uid: junhua024
submission_id: junhua024-chai-1-full-066126_v62
model_name: junhua024-chai-1-full-066126_v62
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-15T11:40:01+00:00
num_battles: 7196
num_wins: 3536
celo_rating: 1280.13
family_friendly_score: 0.5578000000000001
family_friendly_standard_error: 0.007023662292565041
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': 0.5946712923503495, 'latency_mean': 1.6814505672454834, 'latency_p50': 1.6798627376556396, 'latency_p90': 1.8599369287490843}, {'batch_size': 3, 'throughput': 1.066650232186809, 'latency_mean': 2.805442224740982, 'latency_p50': 2.8018641471862793, 'latency_p90': 3.1010242462158204}, {'batch_size': 5, 'throughput': 1.2697507846348817, 'latency_mean': 3.9208280181884767, 'latency_p50': 3.9198453426361084, 'latency_p90': 4.37936532497406}, {'batch_size': 6, 'throughput': 1.335903111644968, 'latency_mean': 4.464493238925934, 'latency_p50': 4.481019020080566, 'latency_p90': 4.974390053749085}, {'batch_size': 8, 'throughput': 1.390522999210405, 'latency_mean': 5.7125984787940975, 'latency_p50': 5.715295076370239, 'latency_p90': 6.413632559776306}, {'batch_size': 10, 'throughput': 1.433388704297081, 'latency_mean': 6.909964280128479, 'latency_p50': 6.898487567901611, 'latency_p90': 7.858032917976379}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066126_v62
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: 0.4913841022790439
generation_params: {'temperature': 1.0, 'top_p': 0.88, '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-v62-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v62-mkmlizer to finish
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junhua024-chai-1-full-066126-v62-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v62-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v62-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v62-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v62-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v62-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v62-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v62-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v62-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v62-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v62-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v62-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v62-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v62-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v62-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v62-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-v62-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-v62-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-v62-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-v62-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-v62-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-v62-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-v62-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-v62-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-v62-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-v62-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-v62-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-v62-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-v62-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-v62-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-v62-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-v62-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-v62-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-v62-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-exp169-sft-gy_89445_v1: HTTPConnectionPool(host='chaiml-gy-exp169-sft-gy-89445-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-1-full-066126-v62-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-v62-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-v62-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-v62-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-v62-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-v62-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-v62-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-v62-mkmlizer: Downloaded to shared memory in 77.445s
junhua024-chai-1-full-066126-v62-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v62-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp6a8jolxm, device:0
junhua024-chai-1-full-066126-v62-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v62-mkmlizer: quantized model in 31.716s
junhua024-chai-1-full-066126-v62-mkmlizer: Processed model junhua024/chai-1-full-066126 in 109.238s
junhua024-chai-1-full-066126-v62-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v62-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v62/nvidia/config.json
junhua024-chai-1-full-066126-v62-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v62/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v62-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v62/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v62-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v62/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v62-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v62/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v62-mkmlizer: 
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Job junhua024-chai-1-full-066126-v62-mkmlizer completed after 138.6s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v62-mkmlizer
Pipeline stage MKMLizer completed in 139.08s
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-v62
Waiting for inference service junhua024-chai-1-full-066126-v62 to be ready
Retrying (%r) after connection broken by '%r': %s
Inference service junhua024-chai-1-full-066126-v62 ready after 273.3593876361847s
Pipeline stage MKMLDeployer completed in 274.05s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5367937088012695s
Received healthy response to inference request in 2.0231919288635254s
Received healthy response to inference request in 2.3792359828948975s
Received healthy response to inference request in 1.977520227432251s
Failed to get response for submission chaiml-gy-exp169-sft-gy_89445_v1: HTTPConnectionPool(host='chaiml-gy-exp169-sft-gy-89445-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Received healthy response to inference request in 2.1402978897094727s
5 requests
0 failed requests
5th percentile: 1.986654567718506
10th percentile: 1.9957889080047608
20th percentile: 2.0140575885772707
30th percentile: 2.0466131210327148
40th percentile: 2.093455505371094
50th percentile: 2.1402978897094727
60th percentile: 2.2358731269836425
70th percentile: 2.3314483642578123
80th percentile: 2.410747528076172
90th percentile: 2.4737706184387207
95th percentile: 2.505282163619995
99th percentile: 2.5304913997650145
mean time: 2.211407947540283
Pipeline stage StressChecker completed in 12.68s
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 0.73s
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 0.92s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v62 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 3091.80s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v62 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v62 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v62 status is now torndown due to DeploymentManager action