junhua024-chai-16-full-_94000

developer_uid: junhua024
submission_id: junhua024-chai-16-full-_94000_v9
model_name: junhua024-chai-16-full-_94000_v9
model_group: junhua024/chai_16_full_q
status: torndown
timestamp: 2025-07-20T13:58:47+00:00
num_battles: 7387
num_wins: 3538
celo_rating: 1275.87
family_friendly_score: 0.5532
family_friendly_standard_error: 0.0070309282459715084
submission_type: basic
model_repo: junhua024/chai_16_full_qkv100_o106_ffn106_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': 0.5889783402976074, 'latency_mean': 1.6977561378479005, 'latency_p50': 1.708646297454834, 'latency_p90': 1.865536642074585}, {'batch_size': 3, 'throughput': 1.0756685477341439, 'latency_mean': 2.7790095686912535, 'latency_p50': 2.7816022634506226, 'latency_p90': 3.0565105438232423}, {'batch_size': 5, 'throughput': 1.2673080690303735, 'latency_mean': 3.9233182418346404, 'latency_p50': 3.9326242208480835, 'latency_p90': 4.3880250453948975}, {'batch_size': 6, 'throughput': 1.3316824525242428, 'latency_mean': 4.479298332929611, 'latency_p50': 4.4805978536605835, 'latency_p90': 5.020010852813721}, {'batch_size': 8, 'throughput': 1.392687853516273, 'latency_mean': 5.704331705570221, 'latency_p50': 5.718279719352722, 'latency_p90': 6.413773727416992}, {'batch_size': 10, 'throughput': 1.4250768190777956, 'latency_mean': 6.960900801420212, 'latency_p50': 6.976572632789612, 'latency_p90': 7.759475111961364}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-16-full-_94000_v9
is_internal_developer: False
language_model: junhua024/chai_16_full_qkv100_o106_ffn106_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.25
us_pacific_date: 2025-07-20
win_ratio: 0.4789495058887234
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-94000-v9-mkmlizer
Waiting for job on junhua024-chai-16-full-94000-v9-mkmlizer to finish
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junhua024-chai-16-full-94000-v9-mkmlizer: ║                                                                     ║
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junhua024-chai-16-full-94000-v9-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-94000-v9-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-16-full-94000-v9-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-16-full-94000-v9-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-16-full-94000-v9-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-16-full-94000-v9-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-94000-v9-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-16-full-94000-v9-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-16-full-94000-v9-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-94000-v9-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-16-full-94000-v9-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-16-full-94000-v9-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-16-full-94000-v9-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-94000-v9-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-16-full-94000-v9-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-94000-v9-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-94000-v9-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-94000-v9-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-94000-v9-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-94000-v9-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-94000-v9-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-94000-v9-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-94000-v9-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-94000-v9-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-94000-v9-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-94000-v9-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-94000-v9-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-94000-v9-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-94000-v9-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-94000-v9-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-94000-v9-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-94000-v9-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-94000-v9-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-94000-v9-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-94000-v9-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-94000-v9-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-16-full-_94000_v7: HTTPConnectionPool(host='junhua024-chai-16-full-94000-v7-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-16-full-94000-v9-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-94000-v9-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-94000-v9-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-94000-v9-mkmlizer: Downloaded to shared memory in 78.537s
junhua024-chai-16-full-94000-v9-mkmlizer: Checking if junhua024/chai_16_full_qkv100_o106_ffn106_1925 already exists in ChaiML
junhua024-chai-16-full-94000-v9-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp_3whh9wk, device:0
junhua024-chai-16-full-94000-v9-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission junhua024-chai-16-full-_94000_v7: HTTPConnectionPool(host='junhua024-chai-16-full-94000-v7-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-16-full-_94000_v6: HTTPConnectionPool(host='junhua024-chai-16-full-94000-v6-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-16-full-94000-v9-mkmlizer: quantized model in 31.685s
junhua024-chai-16-full-94000-v9-mkmlizer: Processed model junhua024/chai_16_full_qkv100_o106_ffn106_1925 in 110.308s
Failed to get response for submission junhua024-chai-16-full-_94000_v7: HTTPConnectionPool(host='junhua024-chai-16-full-94000-v7-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-16-full-94000-v9-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-16-full-94000-v9-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-16-full-94000-v9/nvidia
junhua024-chai-16-full-94000-v9-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-16-full-94000-v9/nvidia/config.json
junhua024-chai-16-full-94000-v9-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-16-full-94000-v9/nvidia/special_tokens_map.json
junhua024-chai-16-full-94000-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-16-full-94000-v9/nvidia/tokenizer_config.json
junhua024-chai-16-full-94000-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-16-full-94000-v9/nvidia/tokenizer.json
junhua024-chai-16-full-94000-v9-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-16-full-94000-v9/nvidia/flywheel_model.0.safetensors
junhua024-chai-16-full-94000-v9-mkmlizer: 
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Job junhua024-chai-16-full-94000-v9-mkmlizer completed after 139.85s with status: succeeded
Stopping job with name junhua024-chai-16-full-94000-v9-mkmlizer
Pipeline stage MKMLizer completed in 140.38s
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-94000-v9
Waiting for inference service junhua024-chai-16-full-94000-v9 to be ready
Failed to get response for submission junhua024-chai-16-full-_94000_v7: HTTPConnectionPool(host='junhua024-chai-16-full-94000-v7-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)
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 junhua024-chai-16-full-_94000_v7: HTTPConnectionPool(host='junhua024-chai-16-full-94000-v7-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-16-full-_94000_v7: HTTPConnectionPool(host='junhua024-chai-16-full-94000-v7-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-16-full-_94000_v7: HTTPConnectionPool(host='junhua024-chai-16-full-94000-v7-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-16-full-_94000_v6: HTTPConnectionPool(host='junhua024-chai-16-full-94000-v6-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-94000-v9 ready after 331.424973487854s
Pipeline stage MKMLDeployer completed in 331.99s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.294595956802368s
Received healthy response to inference request in 1.9246799945831299s
Received healthy response to inference request in 1.9961862564086914s
Received healthy response to inference request in 1.559525966644287s
Received healthy response to inference request in 2.0142252445220947s
5 requests
0 failed requests
5th percentile: 1.6325567722320558
10th percentile: 1.7055875778198242
20th percentile: 1.8516491889953612
30th percentile: 1.9389812469482421
40th percentile: 1.9675837516784669
50th percentile: 1.9961862564086914
60th percentile: 2.003401851654053
70th percentile: 2.0106174468994142
80th percentile: 2.0702993869781494
90th percentile: 2.182447671890259
95th percentile: 2.2385218143463135
99th percentile: 2.283381128311157
mean time: 1.9578426837921143
Pipeline stage StressChecker completed in 11.74s
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 0.72s
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 0.68s
Shutdown handler de-registered
junhua024-chai-16-full-_94000_v9 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 4782.47s
Shutdown handler de-registered
junhua024-chai-16-full-_94000_v9 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-16-full-_94000_v9 status is now torndown due to DeploymentManager action