junhua024-chai-1-full-066126

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066126_v29

model_name: junhua024-chai-1-full-066126_v29

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-14T11:57:37+00:00

num_battles: 9457

num_wins: 4723

celo_rating: 1270.76

family_friendly_score: 0.5508

family_friendly_standard_error: 0.007034477379308288

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': 0.6025298408641816, 'latency_mean': 1.659540776014328, 'latency_p50': 1.6604095697402954, 'latency_p90': 1.8365248680114745}, {'batch_size': 3, 'throughput': 1.1056310787862906, 'latency_mean': 2.7082888686656954, 'latency_p50': 2.700188159942627, 'latency_p90': 2.9828980207443236}, {'batch_size': 5, 'throughput': 1.3212648287957522, 'latency_mean': 3.7561330366134644, 'latency_p50': 3.7459113597869873, 'latency_p90': 4.16571831703186}, {'batch_size': 6, 'throughput': 1.3773605763587304, 'latency_mean': 4.320733188390732, 'latency_p50': 4.307731628417969, 'latency_p90': 4.7910867691040036}, {'batch_size': 8, 'throughput': 1.4532843745972432, 'latency_mean': 5.460633322000503, 'latency_p50': 5.4386667013168335, 'latency_p90': 6.152154541015625}, {'batch_size': 10, 'throughput': 1.487219820749636, 'latency_mean': 6.6725512933731075, 'latency_p50': 6.674827694892883, 'latency_p90': 7.5193175077438354}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066126_v29

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.32

us_pacific_date: 2025-07-14

win_ratio: 0.49941842021782806

generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 10, 'presence_penalty': -0.1, '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-v29-mkmlizer
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junhua024-chai-1-full-066126-v29-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v29-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v29-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v29-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v29-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v29-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v29-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v29-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v29-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v29-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v29-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v29-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v29-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v29-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v29-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-mkmlizer: Downloaded to shared memory in 76.377s
junhua024-chai-1-full-066126-v29-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v29-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpa4tshf31, device:0
junhua024-chai-1-full-066126-v29-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v29-mkmlizer: quantized model in 33.375s
junhua024-chai-1-full-066126-v29-mkmlizer: Processed model junhua024/chai-1-full-066126 in 109.835s
junhua024-chai-1-full-066126-v29-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v29-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v29-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v29/nvidia
junhua024-chai-1-full-066126-v29-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v29/nvidia/config.json
junhua024-chai-1-full-066126-v29-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v29/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v29-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v29/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v29-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v29/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v29-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v29/nvidia/flywheel_model.0.safetensors
Job junhua024-chai-1-full-066126-v29-mkmlizer completed after 137.62s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v29-mkmlizer
Pipeline stage MKMLizer completed in 138.09s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
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Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v29
Waiting for inference service junhua024-chai-1-full-066126-v29 to be ready
Inference service junhua024-chai-1-full-066126-v29 ready after 221.2358021736145s
Pipeline stage MKMLDeployer completed in 221.96s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 2.5182037353515625s
Received healthy response to inference request in 1.8047213554382324s
Received healthy response to inference request in 2.2361068725585938s
Received healthy response to inference request in 1.685143232345581s
5 requests
1 failed requests
5th percentile: 1.7090588569641114
10th percentile: 1.7329744815826416
20th percentile: 1.780805730819702
30th percentile: 1.8909984588623048
40th percentile: 2.063552665710449
50th percentile: 2.2361068725585938
60th percentile: 2.3489456176757812
70th percentile: 2.4617843627929688
80th percentile: 6.04368352890015
90th percentile: 13.094643115997316
95th percentile: 16.620122909545895
99th percentile: 19.440506744384766
mean time: 5.677955579757691
%s, retrying in %s seconds...
Received healthy response to inference request in 1.6422920227050781s
Received healthy response to inference request in 1.8909265995025635s
Received healthy response to inference request in 1.5133585929870605s
Received healthy response to inference request in 1.5057170391082764s
Received healthy response to inference request in 1.7622129917144775s
5 requests
0 failed requests
5th percentile: 1.5072453498840332
10th percentile: 1.5087736606597901
20th percentile: 1.5118302822113037
30th percentile: 1.539145278930664
40th percentile: 1.590718650817871
50th percentile: 1.6422920227050781
60th percentile: 1.690260410308838
70th percentile: 1.7382287979125977
80th percentile: 1.7879557132720947
90th percentile: 1.8394411563873292
95th percentile: 1.8651838779449463
99th percentile: 1.8857780551910401
mean time: 1.6629014492034913
Pipeline stage StressChecker completed in 39.43s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.72s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.71s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v29 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3113.86s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v29 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v29 status is now torndown due to DeploymentManager action