junhua024-chai-16-full-_18823

developer_uid: junhua024
submission_id: junhua024-chai-16-full-_18823_v1
model_name: junhua024-chai-16-full-_18823_v1
model_group: junhua024/chai_16_full_1
status: torndown
timestamp: 2025-07-20T04:40:48+00:00
num_battles: 7266
num_wins: 3608
celo_rating: 1273.06
family_friendly_score: 0.5569999999999999
family_friendly_standard_error: 0.007024969750824553
submission_type: basic
model_repo: junhua024/chai_16_full_106_qkv098_o_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': 0.6002801311763185, 'latency_mean': 1.665699245929718, 'latency_p50': 1.6677744388580322, 'latency_p90': 1.8272454977035522}, {'batch_size': 3, 'throughput': 1.0696624633878673, 'latency_mean': 2.7917768859863283, 'latency_p50': 2.7718156576156616, 'latency_p90': 3.0633853673934937}, {'batch_size': 5, 'throughput': 1.2898989053499255, 'latency_mean': 3.8576599872112274, 'latency_p50': 3.866466522216797, 'latency_p90': 4.279100322723389}, {'batch_size': 6, 'throughput': 1.3579560734086336, 'latency_mean': 4.3875318002700805, 'latency_p50': 4.357855319976807, 'latency_p90': 4.945743036270142}, {'batch_size': 8, 'throughput': 1.4005510301373916, 'latency_mean': 5.668136756420136, 'latency_p50': 5.7215505838394165, 'latency_p90': 6.359273076057434}, {'batch_size': 10, 'throughput': 1.4449839383623764, 'latency_mean': 6.854032094478607, 'latency_p50': 6.84725022315979, 'latency_p90': 7.724386048316955}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-16-full-_18823_v1
is_internal_developer: False
language_model: junhua024/chai_16_full_106_qkv098_o_ffn_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.27
us_pacific_date: 2025-07-19
win_ratio: 0.4965593173685659
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-18823-v1-mkmlizer
Waiting for job on junhua024-chai-16-full-18823-v1-mkmlizer to finish
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junhua024-chai-16-full-18823-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-16-full-18823-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-16-full-18823-v1-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-18823-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-16-full-18823-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-16-full-18823-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-16-full-18823-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-16-full-18823-v1-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-18823-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-16-full-18823-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-16-full-18823-v1-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-18823-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-16-full-18823-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-16-full-18823-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-16-full-18823-v1-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-18823-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-16-full-18823-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 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-_63690_v2: HTTPConnectionPool(host='junhua024-chai-16-full-63690-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-16-full-18823-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-16-full-18823-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-16-full-18823-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-16-full-18823-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-16-full-18823-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-16-full-18823-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-16-full-18823-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-16-full-18823-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-16-full-18823-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-16-full-18823-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-16-full-18823-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-16-full-18823-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-16-full-18823-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-16-full-18823-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-16-full-18823-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-16-full-18823-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-16-full-18823-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-16-full-18823-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-16-full-18823-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-16-full-18823-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-16-full-18823-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-16-full-18823-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-16-full-18823-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-16-full-18823-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-16-full-18823-v1-mkmlizer: Downloaded to shared memory in 113.966s
junhua024-chai-16-full-18823-v1-mkmlizer: Checking if junhua024/chai_16_full_106_qkv098_o_ffn_1925 already exists in ChaiML
junhua024-chai-16-full-18823-v1-mkmlizer: Creating repo ChaiML/chai_16_full_106_qkv098_o_ffn_1925 and uploading /tmp/tmpy45m49hu to it
Failed to get response for submission junhua024-chai-16-full-_63690_v1: HTTPConnectionPool(host='junhua024-chai-16-full-63690-v1-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-_63690_v3: HTTPConnectionPool(host='junhua024-chai-16-full-63690-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-16-full-18823-v1-mkmlizer: 
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junhua024-chai-16-full-18823-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpy45m49hu, device:0
junhua024-chai-16-full-18823-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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)
junhua024-chai-16-full-18823-v1-mkmlizer: quantized model in 32.680s
junhua024-chai-16-full-18823-v1-mkmlizer: Processed model junhua024/chai_16_full_106_qkv098_o_ffn_1925 in 229.006s
junhua024-chai-16-full-18823-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-16-full-18823-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-16-full-18823-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-16-full-18823-v1/nvidia
junhua024-chai-16-full-18823-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-16-full-18823-v1/nvidia/config.json
junhua024-chai-16-full-18823-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-16-full-18823-v1/nvidia/special_tokens_map.json
junhua024-chai-16-full-18823-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-16-full-18823-v1/nvidia/tokenizer_config.json
junhua024-chai-16-full-18823-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-16-full-18823-v1/nvidia/tokenizer.json
junhua024-chai-16-full-18823-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-16-full-18823-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-16-full-18823-v1-mkmlizer completed after 253.47s with status: succeeded
Stopping job with name junhua024-chai-16-full-18823-v1-mkmlizer
Pipeline stage MKMLizer completed in 254.07s
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-18823-v1
Waiting for inference service junhua024-chai-16-full-18823-v1 to be ready
Failed to get response for submission junhua024-chai-16-full-_63690_v3: HTTPConnectionPool(host='junhua024-chai-16-full-63690-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-_63690_v3: HTTPConnectionPool(host='junhua024-chai-16-full-63690-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-_63690_v1: HTTPConnectionPool(host='junhua024-chai-16-full-63690-v1-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-_63690_v1: HTTPConnectionPool(host='junhua024-chai-16-full-63690-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission blend_hunen_2025-06-23: HTTPConnectionPool(host='guanaco-model-mesh.k2.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-16-full-_63690_v2: HTTPConnectionPool(host='junhua024-chai-16-full-63690-v2-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-_63690_v3: HTTPConnectionPool(host='junhua024-chai-16-full-63690-v3-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-_63690_v2: HTTPConnectionPool(host='junhua024-chai-16-full-63690-v2-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-_63690_v4: HTTPConnectionPool(host='junhua024-chai-16-full-63690-v4-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-_63690_v1: HTTPConnectionPool(host='junhua024-chai-16-full-63690-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-16-full-18823-v1 ready after 331.25784373283386s
Pipeline stage MKMLDeployer completed in 332.10s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.7548482418060303s
Received healthy response to inference request in 1.7629356384277344s
Received healthy response to inference request in 2.0594429969787598s
Received healthy response to inference request in 1.7812910079956055s
Received healthy response to inference request in 1.797771692276001s
5 requests
0 failed requests
5th percentile: 1.7666067123413085
10th percentile: 1.7702777862548829
20th percentile: 1.7776199340820313
30th percentile: 1.7845871448516846
40th percentile: 1.7911794185638428
50th percentile: 1.797771692276001
60th percentile: 1.9024402141571044
70th percentile: 2.007108736038208
80th percentile: 2.198524045944214
90th percentile: 2.476686143875122
95th percentile: 2.615767192840576
99th percentile: 2.7270320320129393
mean time: 2.031257915496826
Pipeline stage StressChecker completed in 12.18s
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 0.71s
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 1.00s
Shutdown handler de-registered
junhua024-chai-16-full-_18823_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 5658.56s
Shutdown handler de-registered
junhua024-chai-16-full-_18823_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-16-full-_18823_v1 status is now torndown due to DeploymentManager action