junhua024-chai-16-full-_63690

developer_uid: junhua024
submission_id: junhua024-chai-16-full-_63690_v1
model_name: junhua024-chai-16-full-_63690_v1
model_group: junhua024/chai_16_full_1
status: torndown
timestamp: 2025-07-20T04:19:25+00:00
num_battles: 8417
num_wins: 4184
celo_rating: 1274.63
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
submission_type: basic
model_repo: junhua024/chai_16_full_106_qkv_o_ffn_1925
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': 0.6027428040721594, 'latency_mean': 1.6589555263519287, 'latency_p50': 1.6599458456039429, 'latency_p90': 1.8142472982406617}, {'batch_size': 3, 'throughput': 1.097444468255426, 'latency_mean': 2.7273330640792848, 'latency_p50': 2.722318172454834, 'latency_p90': 2.9943796157836915}, {'batch_size': 5, 'throughput': 1.306765103998236, 'latency_mean': 3.803633395433426, 'latency_p50': 3.803662061691284, 'latency_p90': 4.238568353652954}, {'batch_size': 6, 'throughput': 1.3625369524408721, 'latency_mean': 4.372333575487136, 'latency_p50': 4.370047688484192, 'latency_p90': 4.860030627250671}, {'batch_size': 8, 'throughput': 1.443474604667449, 'latency_mean': 5.5029237949848175, 'latency_p50': 5.469581484794617, 'latency_p90': 6.232328653335571}, {'batch_size': 10, 'throughput': 1.4587452893098014, 'latency_mean': 6.798256640434265, 'latency_p50': 6.833228826522827, 'latency_p90': 7.61773726940155}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-16-full-_63690_v1
is_internal_developer: False
language_model: junhua024/chai_16_full_106_qkv_o_ffn_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.3
us_pacific_date: 2025-07-19
win_ratio: 0.49708922418914103
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-16-full-63690-v1-mkmlizer
Waiting for job on junhua024-chai-16-full-63690-v1-mkmlizer to finish
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junhua024-chai-16-full-63690-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-16-full-63690-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-16-full-63690-v1-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-63690-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-16-full-63690-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-16-full-63690-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-16-full-63690-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-16-full-63690-v1-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-63690-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-16-full-63690-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-16-full-63690-v1-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-63690-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-16-full-63690-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-16-full-63690-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-16-full-63690-v1-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-63690-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-16-full-63690-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-16-full-63690-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-16-full-63690-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 chaiml-nis-qwen32b-sim_98336_v34: HTTPConnectionPool(host='chaiml-nis-qwen32b-sim-98336-v34-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-16-full-63690-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-16-full-63690-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-16-full-63690-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-16-full-63690-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-16-full-63690-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-16-full-63690-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-16-full-63690-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-16-full-63690-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-16-full-63690-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-16-full-63690-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-16-full-63690-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-16-full-63690-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-16-full-63690-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-16-full-63690-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-16-full-63690-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-16-full-63690-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-16-full-63690-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-16-full-63690-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-16-full-63690-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-16-full-63690-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-16-full-63690-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-16-full-63690-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-16-full-63690-v1-mkmlizer: Downloaded to shared memory in 113.346s
junhua024-chai-16-full-63690-v1-mkmlizer: Checking if junhua024/chai_16_full_106_qkv_o_ffn_1925 already exists in ChaiML
junhua024-chai-16-full-63690-v1-mkmlizer: Creating repo ChaiML/chai_16_full_106_qkv_o_ffn_1925 and uploading /tmp/tmpyal9eohg to it
Failed to get response for submission chaiml-nis-qwen32b-sim_98336_v34: HTTPConnectionPool(host='chaiml-nis-qwen32b-sim-98336-v34-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-16-full-63690-v1-mkmlizer: 
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junhua024-chai-16-full-63690-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpyal9eohg, device:0
junhua024-chai-16-full-63690-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-16-full-63690-v1-mkmlizer: quantized model in 31.421s
junhua024-chai-16-full-63690-v1-mkmlizer: Processed model junhua024/chai_16_full_106_qkv_o_ffn_1925 in 218.988s
junhua024-chai-16-full-63690-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-16-full-63690-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-16-full-63690-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-16-full-63690-v1/nvidia
junhua024-chai-16-full-63690-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-16-full-63690-v1/nvidia/special_tokens_map.json
junhua024-chai-16-full-63690-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-16-full-63690-v1/nvidia/config.json
junhua024-chai-16-full-63690-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-16-full-63690-v1/nvidia/tokenizer_config.json
junhua024-chai-16-full-63690-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-16-full-63690-v1/nvidia/tokenizer.json
junhua024-chai-16-full-63690-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-16-full-63690-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-16-full-63690-v1-mkmlizer completed after 245.27s with status: succeeded
Stopping job with name junhua024-chai-16-full-63690-v1-mkmlizer
Pipeline stage MKMLizer completed in 245.86s
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-16-full-63690-v1
Waiting for inference service junhua024-chai-16-full-63690-v1 to be ready
Failed to get response for submission chaiml-nis-qwen32b-sim_98336_v34: HTTPConnectionPool(host='chaiml-nis-qwen32b-sim-98336-v34-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-nis-qwen32b-sim_98336_v34: HTTPConnectionPool(host='chaiml-nis-qwen32b-sim-98336-v34-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-16-full-63690-v1 ready after 332.686886548996s
Pipeline stage MKMLDeployer completed in 333.46s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.453496217727661s
Received healthy response to inference request in 1.660982608795166s
Received healthy response to inference request in 1.9369113445281982s
Received healthy response to inference request in 1.6781785488128662s
Received healthy response to inference request in 1.6993286609649658s
5 requests
0 failed requests
5th percentile: 1.664421796798706
10th percentile: 1.667860984802246
20th percentile: 1.6747393608093262
30th percentile: 1.6824085712432861
40th percentile: 1.690868616104126
50th percentile: 1.6993286609649658
60th percentile: 1.7943617343902587
70th percentile: 1.8893948078155518
80th percentile: 2.040228319168091
90th percentile: 2.246862268447876
95th percentile: 2.3501792430877684
99th percentile: 2.4328328227996825
mean time: 1.8857794761657716
Pipeline stage StressChecker completed in 11.20s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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starting trigger_guanaco_pipeline args=%s
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.97s
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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 0.84s
Shutdown handler de-registered
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Shutdown handler registered
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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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
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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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
Shutdown handler registered
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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
junhua024-chai-16-full-_63690_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-16-full-_63690_v1 status is now torndown due to DeploymentManager action