junhua024-chai-1-full-066122

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066122_v1

model_name: junhua024-chai-1-full-066122_v1

model_group: junhua024/chai_1-full_06

status: torndown

timestamp: 2025-06-29T18:55:05+00:00

num_battles: 6436

num_wins: 3150

celo_rating: 1269.79

family_friendly_score: 0.5598000000000001

family_friendly_standard_error: 0.007020312813543283

submission_type: basic

model_repo: junhua024/chai_1-full_066122

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': 0.5949512484917984, 'latency_mean': 1.6807034826278686, 'latency_p50': 1.681848168373108, 'latency_p90': 1.86019287109375}, {'batch_size': 3, 'throughput': 1.0733126514356872, 'latency_mean': 2.7811573469638824, 'latency_p50': 2.7753318548202515, 'latency_p90': 3.0529552698135376}, {'batch_size': 5, 'throughput': 1.2913207983701522, 'latency_mean': 3.8562290966510773, 'latency_p50': 3.868227005004883, 'latency_p90': 4.25439863204956}, {'batch_size': 6, 'throughput': 1.3516635401964383, 'latency_mean': 4.413449101448059, 'latency_p50': 4.406847953796387, 'latency_p90': 5.008135557174683}, {'batch_size': 8, 'throughput': 1.4111365448860151, 'latency_mean': 5.628375730514526, 'latency_p50': 5.672630786895752, 'latency_p90': 6.259966707229614}, {'batch_size': 10, 'throughput': 1.4390786296109506, 'latency_mean': 6.883009850978851, 'latency_p50': 6.911319971084595, 'latency_p90': 7.790479207038879}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066122_v1

is_internal_developer: False

language_model: junhua024/chai_1-full_066122

model_size: 13B

ranking_group: single

throughput_3p7s: 1.27

us_pacific_date: 2025-06-29

win_ratio: 0.4894344313238036

generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, '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': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{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-066122-v1-mkmlizer
Waiting for job on junhua024-chai-1-full-066122-v1-mkmlizer to finish
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junhua024-chai-1-full-066122-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066122-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066122-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066122-v1-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-066122-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066122-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066122-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066122-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066122-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066122-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066122-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066122-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066122-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066122-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066122-v1-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066122-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066122-v1-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-066122-v1-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-066122-v1-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-066122-v1-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-066122-v1-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-066122-v1-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-066122-v1-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-066122-v1-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-066122-v1-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-066122-v1-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-066122-v1-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-066122-v1-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-066122-v1-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-066122-v1-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-066122-v1-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-066122-v1-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-066122-v1-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 nitral-ai-captain-bmo-12b_v75: HTTPConnectionPool(host='nitral-ai-captain-bmo-12b-v75-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-1-full-066122-v1-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-066122-v1-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-066122-v1-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-066122-v1-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-066122-v1-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-066122-v1-mkmlizer: Downloaded to shared memory in 134.275s
junhua024-chai-1-full-066122-v1-mkmlizer: Checking if junhua024/chai_1-full_066122 already exists in ChaiML
junhua024-chai-1-full-066122-v1-mkmlizer: Creating repo ChaiML/chai_1-full_066122 and uploading /tmp/tmpsaanpk76 to it
junhua024-chai-1-full-066122-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpsaanpk76, device:0
junhua024-chai-1-full-066122-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066122-v1-mkmlizer: quantized model in 30.930s
junhua024-chai-1-full-066122-v1-mkmlizer: Processed model junhua024/chai_1-full_066122 in 295.687s
junhua024-chai-1-full-066122-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066122-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066122-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066122-v1
junhua024-chai-1-full-066122-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066122-v1/config.json
junhua024-chai-1-full-066122-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066122-v1/special_tokens_map.json
junhua024-chai-1-full-066122-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066122-v1/tokenizer_config.json
junhua024-chai-1-full-066122-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066122-v1/tokenizer.json
junhua024-chai-1-full-066122-v1-mkmlizer: 
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Job junhua024-chai-1-full-066122-v1-mkmlizer completed after 323.6s with status: succeeded
Stopping job with name junhua024-chai-1-full-066122-v1-mkmlizer
Pipeline stage MKMLizer completed in 325.24s
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-066122-v1
Waiting for inference service junhua024-chai-1-full-066122-v1 to be ready
Failed to get response for submission nitral-ai-captain-bmo-12b_v75: HTTPConnectionPool(host='nitral-ai-captain-bmo-12b-v75-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission nitral-ai-captain-bmo-12b_v75: HTTPConnectionPool(host='nitral-ai-captain-bmo-12b-v75-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-1-full-066122-v1 ready after 191.0613570213318s
Pipeline stage MKMLDeployer completed in 191.56s
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 2.229663133621216s
Received healthy response to inference request in 1.9115865230560303s
Received healthy response to inference request in 1.5381083488464355s
Received healthy response to inference request in 1.5269808769226074s
5 requests
1 failed requests
5th percentile: 1.5292063713073731
10th percentile: 1.5314318656921386
20th percentile: 1.5358828544616698
30th percentile: 1.6128039836883545
40th percentile: 1.7621952533721923
50th percentile: 1.9115865230560303
60th percentile: 2.0388171672821045
70th percentile: 2.1660478115081787
80th percentile: 5.819340944290165
90th percentile: 12.998696565628054
95th percentile: 16.588374376296994
99th percentile: 19.460116624832153
mean time: 5.476878213882446
%s, retrying in %s seconds...
Received healthy response to inference request in 1.6301851272583008s
Received healthy response to inference request in 1.830296277999878s
Received healthy response to inference request in 1.7973062992095947s
Received healthy response to inference request in 1.754504680633545s
Received healthy response to inference request in 1.8579607009887695s
5 requests
0 failed requests
5th percentile: 1.6550490379333496
10th percentile: 1.6799129486083983
20th percentile: 1.7296407699584961
30th percentile: 1.7630650043487548
40th percentile: 1.7801856517791748
50th percentile: 1.7973062992095947
60th percentile: 1.810502290725708
70th percentile: 1.8236982822418213
80th percentile: 1.8358291625976562
90th percentile: 1.8468949317932128
95th percentile: 1.8524278163909913
99th percentile: 1.8568541240692138
mean time: 1.7740506172180175
Pipeline stage StressChecker completed in 39.40s
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 0.71s
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 0.78s
Shutdown handler de-registered
junhua024-chai-1-full-066122_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.16s
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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-066122-v1-profiler
Waiting for inference service junhua024-chai-1-full-066122-v1-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 3413.36s
Shutdown handler de-registered
junhua024-chai-1-full-066122_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066122_v1 status is now torndown due to DeploymentManager action