junhua024-chai-16-full-_68541

developer_uid: junhua024
submission_id: junhua024-chai-16-full-_68541_v3
model_name: junhua024-chai-16-full-_68541_v3
model_group: junhua024/chai_16_full_1
status: torndown
timestamp: 2025-07-19T12:53:54+00:00
num_battles: 8219
num_wins: 4061
celo_rating: 1280.22
family_friendly_score: 0.5544
family_friendly_standard_error: 0.0070290915486995904
submission_type: basic
model_repo: junhua024/chai_16_full_102_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': 0.5905706990904573, 'latency_mean': 1.6931343543529511, 'latency_p50': 1.7006866931915283, 'latency_p90': 1.8814416408538819}, {'batch_size': 3, 'throughput': 1.0576409240192675, 'latency_mean': 2.830788105726242, 'latency_p50': 2.8342586755752563, 'latency_p90': 3.123846912384033}, {'batch_size': 5, 'throughput': 1.2684033797844891, 'latency_mean': 3.912772365808487, 'latency_p50': 3.9197317361831665, 'latency_p90': 4.33282573223114}, {'batch_size': 6, 'throughput': 1.3280834396700703, 'latency_mean': 4.4896809828281405, 'latency_p50': 4.481048226356506, 'latency_p90': 5.04527325630188}, {'batch_size': 8, 'throughput': 1.3846693368919023, 'latency_mean': 5.745056734085083, 'latency_p50': 5.740993499755859, 'latency_p90': 6.507359457015991}, {'batch_size': 10, 'throughput': 1.4230671780099575, 'latency_mean': 6.976456543207169, 'latency_p50': 6.98679256439209, 'latency_p90': 7.87356059551239}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-16-full-_68541_v3
is_internal_developer: False
language_model: junhua024/chai_16_full_102_ffn_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.25
us_pacific_date: 2025-07-19
win_ratio: 0.4940990388125076
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-68541-v3-mkmlizer
Waiting for job on junhua024-chai-16-full-68541-v3-mkmlizer to finish
junhua024-chai-16-full-68541-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-16-full-68541-v3-mkmlizer: ║                                                                     ║
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junhua024-chai-16-full-68541-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-16-full-68541-v3-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-68541-v3-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-16-full-68541-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-16-full-68541-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-16-full-68541-v3-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-16-full-68541-v3-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-68541-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-16-full-68541-v3-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-16-full-68541-v3-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-68541-v3-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-16-full-68541-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-16-full-68541-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-16-full-68541-v3-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-68541-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-16-full-68541-v3-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-68541-v3-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-68541-v3-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-68541-v3-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-68541-v3-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-68541-v3-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-68541-v3-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-68541-v3-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-68541-v3-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-68541-v3-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-68541-v3-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-68541-v3-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-68541-v3-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-68541-v3-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-68541-v3-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-68541-v3-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-68541-v3-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-68541-v3-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-68541-v3-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-68541-v3-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-68541-v3-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-68541-v3-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-68541-v3-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-68541-v3-mkmlizer: Downloaded to shared memory in 124.170s
junhua024-chai-16-full-68541-v3-mkmlizer: Checking if junhua024/chai_16_full_102_ffn_1925 already exists in ChaiML
junhua024-chai-16-full-68541-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmplj_0yd5g, device:0
junhua024-chai-16-full-68541-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-16-full-68541-v3-mkmlizer: quantized model in 33.088s
junhua024-chai-16-full-68541-v3-mkmlizer: Processed model junhua024/chai_16_full_102_ffn_1925 in 157.334s
junhua024-chai-16-full-68541-v3-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-16-full-68541-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-16-full-68541-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-16-full-68541-v3/nvidia
junhua024-chai-16-full-68541-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-16-full-68541-v3/nvidia/config.json
junhua024-chai-16-full-68541-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-16-full-68541-v3/nvidia/special_tokens_map.json
junhua024-chai-16-full-68541-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-16-full-68541-v3/nvidia/tokenizer_config.json
junhua024-chai-16-full-68541-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-16-full-68541-v3/nvidia/tokenizer.json
junhua024-chai-16-full-68541-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-16-full-68541-v3/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-16-full-68541-v3-mkmlizer completed after 183.97s with status: succeeded
Stopping job with name junhua024-chai-16-full-68541-v3-mkmlizer
Pipeline stage MKMLizer completed in 184.62s
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-68541-v3
Waiting for inference service junhua024-chai-16-full-68541-v3 to be ready
Failed to get response for submission junhua024-chai-16-full-_35624_v3: HTTPConnectionPool(host='junhua024-chai-16-full-35624-v3-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-_35624_v3: HTTPConnectionPool(host='junhua024-chai-16-full-35624-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-16-full-68541-v3 ready after 332.3117768764496s
Pipeline stage MKMLDeployer completed in 333.65s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.8564555644989014s
Received healthy response to inference request in 2.227889060974121s
Received healthy response to inference request in 1.598102331161499s
Received healthy response to inference request in 2.068652391433716s
Received healthy response to inference request in 1.6474783420562744s
5 requests
0 failed requests
5th percentile: 1.607977533340454
10th percentile: 1.6178527355194092
20th percentile: 1.6376031398773194
30th percentile: 1.7317131519317628
40th percentile: 1.9001827716827393
50th percentile: 2.068652391433716
60th percentile: 2.132347059249878
70th percentile: 2.19604172706604
80th percentile: 2.3536023616790773
90th percentile: 2.6050289630889893
95th percentile: 2.730742263793945
99th percentile: 2.83131290435791
mean time: 2.079715538024902
Pipeline stage StressChecker completed in 12.01s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.74s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 1.01s
Shutdown handler de-registered
junhua024-chai-16-full-_68541_v3 status is now deployed due to DeploymentManager action
Shutdown handler registered
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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 0.15s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-16-full-68541-v3-profiler
Waiting for inference service junhua024-chai-16-full-68541-v3-profiler to be ready
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
Pipeline stage OfflineFamilyFriendlyScorer completed in 3762.15s
Shutdown handler de-registered
junhua024-chai-16-full-_68541_v3 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-16-full-_68541_v3 status is now torndown due to DeploymentManager action