junhua024-chai-1-full-002

developer_uid: junhua024
submission_id: junhua024-chai-1-full-002_v5
model_name: junhua024-chai-1-full-002_v5
model_group: junhua024/chai_1-full_00
status: torndown
timestamp: 2025-06-29T00:46:43+00:00
num_battles: 5812
num_wins: 2680
celo_rating: 1256.66
family_friendly_score: 0.585
family_friendly_standard_error: 0.00696814178960216
submission_type: basic
model_repo: junhua024/chai_1-full_002
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': 0.593306035529216, 'latency_mean': 1.6852995121479035, 'latency_p50': 1.6776236295700073, 'latency_p90': 1.846211004257202}, {'batch_size': 3, 'throughput': 1.0694729056827368, 'latency_mean': 2.7925437331199645, 'latency_p50': 2.7929517030715942, 'latency_p90': 3.082040309906006}, {'batch_size': 5, 'throughput': 1.280991331623334, 'latency_mean': 3.884033567905426, 'latency_p50': 3.8940590620040894, 'latency_p90': 4.335112690925598}, {'batch_size': 6, 'throughput': 1.343384733543249, 'latency_mean': 4.432692722082138, 'latency_p50': 4.445924401283264, 'latency_p90': 4.976928448677063}, {'batch_size': 8, 'throughput': 1.4008592095286632, 'latency_mean': 5.6622199070453645, 'latency_p50': 5.6633700132369995, 'latency_p90': 6.460641479492187}, {'batch_size': 10, 'throughput': 1.434553041600721, 'latency_mean': 6.919998155832291, 'latency_p50': 6.933334589004517, 'latency_p90': 7.697476720809936}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-002_v5
is_internal_developer: False
language_model: junhua024/chai_1-full_002
model_size: 13B
ranking_group: single
throughput_3p7s: 1.26
us_pacific_date: 2025-06-28
win_ratio: 0.46111493461803166
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.05, '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': "{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-002-v5-mkmlizer
Waiting for job on junhua024-chai-1-full-002-v5-mkmlizer to finish
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junhua024-chai-1-full-002-v5-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-002-v5-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v5-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-002-v5-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-002-v5-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-002-v5-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-002-v5-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v5-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-002-v5-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-002-v5-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v5-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-002-v5-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-002-v5-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-002-v5-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-002-v5-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-002-v5-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-002-v5-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-002-v5-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-002-v5-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-002-v5-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-002-v5-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-002-v5-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-002-v5-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-002-v5-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-002-v5-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-002-v5-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-002-v5-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-002-v5-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-002-v5-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-002-v5-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-002-v5-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-002-v5-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-002-v5-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-002-v5-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-002-v5-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-002-v5-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-002-v5-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-002-v5-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-002-v5-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-002-v5-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-002-v5-mkmlizer: Downloaded to shared memory in 75.043s
junhua024-chai-1-full-002-v5-mkmlizer: Checking if junhua024/chai_1-full_002 already exists in ChaiML
junhua024-chai-1-full-002-v5-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp9njl39nv, device:0
junhua024-chai-1-full-002-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-002-v5-mkmlizer: quantized model in 32.002s
junhua024-chai-1-full-002-v5-mkmlizer: Processed model junhua024/chai_1-full_002 in 107.126s
junhua024-chai-1-full-002-v5-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-002-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v5/config.json
junhua024-chai-1-full-002-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v5/special_tokens_map.json
junhua024-chai-1-full-002-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v5/tokenizer_config.json
junhua024-chai-1-full-002-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v5/tokenizer.json
junhua024-chai-1-full-002-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-002-v5/flywheel_model.0.safetensors
junhua024-chai-1-full-002-v5-mkmlizer: 
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Job junhua024-chai-1-full-002-v5-mkmlizer completed after 137.53s with status: succeeded
Stopping job with name junhua024-chai-1-full-002-v5-mkmlizer
Pipeline stage MKMLizer completed in 138.03s
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-002-v5
Waiting for inference service junhua024-chai-1-full-002-v5 to be ready
Failed to get response for submission junhua024-chai-1-full-002_v4: HTTPConnectionPool(host='junhua024-chai-1-full-002-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-1-full-002-v5 ready after 170.71547174453735s
Pipeline stage MKMLDeployer completed in 171.21s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4759936332702637s
Received healthy response to inference request in 1.8425486087799072s
Received healthy response to inference request in 1.140991449356079s
Received healthy response to inference request in 1.3204457759857178s
Received healthy response to inference request in 1.4897856712341309s
5 requests
0 failed requests
5th percentile: 1.1768823146820069
10th percentile: 1.2127731800079347
20th percentile: 1.28455491065979
30th percentile: 1.3543137550354003
40th percentile: 1.4220497131347656
50th percentile: 1.4897856712341309
60th percentile: 1.6308908462524414
70th percentile: 1.771996021270752
80th percentile: 1.9692376136779786
90th percentile: 2.222615623474121
95th percentile: 2.349304628372192
99th percentile: 2.4506558322906495
mean time: 1.6539530277252197
Pipeline stage StressChecker completed in 9.74s
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 0.66s
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 0.69s
Shutdown handler de-registered
junhua024-chai-1-full-002_v5 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 2997.50s
Shutdown handler de-registered
junhua024-chai-1-full-002_v5 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-002_v5 status is now torndown due to DeploymentManager action