junhua024-chai-12-full-06

developer_uid: junhua024
submission_id: junhua024-chai-12-full-06_v1
model_name: junhua024-chai-12-full-06_v1
model_group: junhua024/chai_12_full_0
status: torndown
timestamp: 2025-07-26T17:41:17+00:00
num_battles: 6747
num_wins: 3719
celo_rating: 1298.79
family_friendly_score: 0.4656
family_friendly_standard_error: 0.007054312723433801
submission_type: basic
model_repo: junhua024/chai_12_full_06
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5267143385699109, 'latency_mean': 1.8984312641620635, 'latency_p50': 1.890609860420227, 'latency_p90': 2.0774100065231322}, {'batch_size': 2, 'throughput': 0.6962998482392163, 'latency_mean': 2.8687191581726075, 'latency_p50': 2.8718230724334717, 'latency_p90': 3.0564781665802}, {'batch_size': 3, 'throughput': 0.794585138284176, 'latency_mean': 3.7689028668403624, 'latency_p50': 3.759485125541687, 'latency_p90': 4.25415780544281}, {'batch_size': 4, 'throughput': 0.8555197474443985, 'latency_mean': 4.661760799884796, 'latency_p50': 4.664252400398254, 'latency_p90': 5.153557085990905}, {'batch_size': 5, 'throughput': 0.8740406512766321, 'latency_mean': 5.690289069414138, 'latency_p50': 5.6860246658325195, 'latency_p90': 6.35609140396118}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-12-full-06_v1
is_internal_developer: False
language_model: junhua024/chai_12_full_06
model_size: 13B
ranking_group: single
throughput_3p7s: 0.79
us_pacific_date: 2025-07-26
win_ratio: 0.5512079442715281
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': 2048, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "You are an empathetic conversational AI. You understand the user's feelings and respond with warmth, compassion, and sincerity. Each of your responses should be fewer than 64 tokens long.", '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-12-full-06-v1-mkmlizer
Waiting for job on junhua024-chai-12-full-06-v1-mkmlizer to finish
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junhua024-chai-12-full-06-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-12-full-06-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-12-full-06-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-12-full-06-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-12-full-06-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-12-full-06-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-12-full-06-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-12-full-06-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-12-full-06-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-12-full-06-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-12-full-06-v1-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-06-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-12-full-06-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-12-full-06-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-12-full-06-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-12-full-06-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-12-full-06-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-12-full-06-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-12-full-06-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-12-full-06-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-12-full-06-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-12-full-06-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-12-full-06-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 junhua024-chai-12-full-02_v1: HTTPConnectionPool(host='junhua024-chai-12-full-02-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-12-full-06-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-12-full-06-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-12-full-06-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-12-full-06-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-12-full-06-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-12-full-06-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-12-full-06-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-12-full-06-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-12-full-06-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-12-full-06-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-12-full-06-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-12-full-06-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-12-full-06-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-12-full-06-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-12-full-06-v1-mkmlizer: Downloaded to shared memory in 128.642s
junhua024-chai-12-full-06-v1-mkmlizer: Checking if junhua024/chai_12_full_06 already exists in ChaiML
junhua024-chai-12-full-06-v1-mkmlizer: Creating repo ChaiML/chai_12_full_06 and uploading /tmp/tmps8m1jkpk to it
Failed to get response for submission chaiml-gy-exp126-dpo-ex_77990_v1: ('http://chaiml-llama31-mer-v2-t-44570-v4-predictor.tenant-chaiml-guanaco.k2.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:50778->127.0.0.1:8080: read: connection reset by peer\n')
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junhua024-chai-12-full-06-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmps8m1jkpk, device:0
junhua024-chai-12-full-06-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-12-full-06-v1-mkmlizer: quantized model in 159.796s
junhua024-chai-12-full-06-v1-mkmlizer: Processed model junhua024/chai_12_full_06 in 354.867s
junhua024-chai-12-full-06-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-12-full-06-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-12-full-06-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-12-full-06-v1/nvidia
junhua024-chai-12-full-06-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-v1/nvidia/config.json
junhua024-chai-12-full-06-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-v1/nvidia/special_tokens_map.json
junhua024-chai-12-full-06-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-v1/nvidia/tokenizer_config.json
junhua024-chai-12-full-06-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-v1/nvidia/tokenizer.json
junhua024-chai-12-full-06-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-12-full-06-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-12-full-06-v1-mkmlizer completed after 376.63s with status: succeeded
Stopping job with name junhua024-chai-12-full-06-v1-mkmlizer
Pipeline stage MKMLizer completed in 377.12s
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-12-full-06-v1
Waiting for inference service junhua024-chai-12-full-06-v1 to be ready
Inference service junhua024-chai-12-full-06-v1 ready after 180.708487033844s
Pipeline stage MKMLDeployer completed in 181.21s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.976478338241577s
Received healthy response to inference request in 2.6631133556365967s
Received healthy response to inference request in 2.4362447261810303s
Received healthy response to inference request in 1.5501229763031006s
Received healthy response to inference request in 2.8716275691986084s
5 requests
0 failed requests
5th percentile: 1.7273473262786865
10th percentile: 1.9045716762542724
20th percentile: 2.259020376205444
30th percentile: 2.4816184520721434
40th percentile: 2.57236590385437
50th percentile: 2.6631133556365967
60th percentile: 2.7465190410614015
70th percentile: 2.829924726486206
80th percentile: 2.892597723007202
90th percentile: 2.9345380306243896
95th percentile: 2.9555081844329836
99th percentile: 2.9722843074798586
mean time: 2.499517393112183
Pipeline stage StressChecker completed in 14.63s
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 0.74s
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 0.77s
Shutdown handler de-registered
junhua024-chai-12-full-06_v1 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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5314.60s
Shutdown handler de-registered
junhua024-chai-12-full-06_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-12-full-06_v1 status is now torndown due to DeploymentManager action