junhua024-chai-1-full-002

developer_uid: junhua024
submission_id: junhua024-chai-1-full-002_v33
model_name: junhua024-chai-1-full-002_v33
model_group: junhua024/chai_1-full_00
status: torndown
timestamp: 2025-06-29T12:11:50+00:00
num_battles: 7145
num_wins: 3198
celo_rating: 1242.48
family_friendly_score: 0.6004
family_friendly_standard_error: 0.006927046123709586
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': 0.5943622064247818, 'latency_mean': 1.682357337474823, 'latency_p50': 1.6792349815368652, 'latency_p90': 1.8597184658050536}, {'batch_size': 3, 'throughput': 1.0722939821264004, 'latency_mean': 2.7927327978610994, 'latency_p50': 2.7951868772506714, 'latency_p90': 3.053826689720154}, {'batch_size': 5, 'throughput': 1.2830121576504663, 'latency_mean': 3.870805480480194, 'latency_p50': 3.891841769218445, 'latency_p90': 4.351628255844116}, {'batch_size': 6, 'throughput': 1.3318446967238227, 'latency_mean': 4.4886776232719425, 'latency_p50': 4.487526535987854, 'latency_p90': 5.111455082893372}, {'batch_size': 8, 'throughput': 1.403043188172442, 'latency_mean': 5.665891395807266, 'latency_p50': 5.630544304847717, 'latency_p90': 6.379213643074036}, {'batch_size': 10, 'throughput': 1.4441393202977795, 'latency_mean': 6.871069190502166, 'latency_p50': 6.862343668937683, 'latency_p90': 7.715582060813904}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-002_v33
is_internal_developer: False
language_model: junhua024/chai_1-full_002
model_size: 13B
ranking_group: single
throughput_3p7s: 1.27
us_pacific_date: 2025-06-29
win_ratio: 0.4475857242827152
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.2, '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': True}
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-v33-mkmlizer
Waiting for job on junhua024-chai-1-full-002-v33-mkmlizer to finish
Failed to get response for submission junhua024-chai-1-full-002_v30: HTTPConnectionPool(host='junhua024-chai-1-full-002-v30-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-1-full-002-v33-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-002-v33-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-002-v33-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v33-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-002-v33-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-002-v33-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-002-v33-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-002-v33-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v33-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-002-v33-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-002-v33-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v33-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-002-v33-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-002-v33-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-002-v33-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v33-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-002-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-1-full-002_v30: HTTPConnectionPool(host='junhua024-chai-1-full-002-v30-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-1-full-002-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-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-v33-mkmlizer: Downloaded to shared memory in 79.509s
junhua024-chai-1-full-002-v33-mkmlizer: Checking if junhua024/chai_1-full_002 already exists in ChaiML
junhua024-chai-1-full-002-v33-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpbyyls7x8, device:0
junhua024-chai-1-full-002-v33-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission junhua024-chai-1-full-002_v30: HTTPConnectionPool(host='junhua024-chai-1-full-002-v30-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-1-full-002-v33-mkmlizer: quantized model in 32.091s
junhua024-chai-1-full-002-v33-mkmlizer: Processed model junhua024/chai_1-full_002 in 111.696s
junhua024-chai-1-full-002-v33-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-002-v33-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-002-v33-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-002-v33
junhua024-chai-1-full-002-v33-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v33/config.json
junhua024-chai-1-full-002-v33-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v33/special_tokens_map.json
junhua024-chai-1-full-002-v33-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v33/tokenizer_config.json
junhua024-chai-1-full-002-v33-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v33/tokenizer.json
junhua024-chai-1-full-002-v33-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-002-v33/flywheel_model.0.safetensors
junhua024-chai-1-full-002-v33-mkmlizer: 
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Job junhua024-chai-1-full-002-v33-mkmlizer completed after 136.86s with status: succeeded
Stopping job with name junhua024-chai-1-full-002-v33-mkmlizer
Pipeline stage MKMLizer completed in 137.44s
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-v33
Waiting for inference service junhua024-chai-1-full-002-v33 to be ready
Inference service junhua024-chai-1-full-002-v33 ready after 170.6331021785736s
Pipeline stage MKMLDeployer completed in 171.22s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3296847343444824s
Received healthy response to inference request in 1.9849345684051514s
Received healthy response to inference request in 1.7810328006744385s
Received healthy response to inference request in 1.6888384819030762s
Received healthy response to inference request in 1.5820653438568115s
5 requests
0 failed requests
5th percentile: 1.6034199714660644
10th percentile: 1.6247745990753173
20th percentile: 1.6674838542938233
30th percentile: 1.7072773456573487
40th percentile: 1.7441550731658935
50th percentile: 1.7810328006744385
60th percentile: 1.8625935077667237
70th percentile: 1.9441542148590087
80th percentile: 2.0538846015930177
90th percentile: 2.19178466796875
95th percentile: 2.260734701156616
99th percentile: 2.315894727706909
mean time: 1.873311185836792
Pipeline stage StressChecker completed in 10.84s
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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 0.67s
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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 0.72s
Shutdown handler de-registered
junhua024-chai-1-full-002_v33 status is now deployed due to DeploymentManager action
Shutdown handler registered
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run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.14s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-002-v33-profiler
Waiting for inference service junhua024-chai-1-full-002-v33-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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5050.70s
Shutdown handler de-registered
junhua024-chai-1-full-002_v33 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-002_v33 status is now torndown due to DeploymentManager action