junhua024-chai-16-full-_38907

developer_uid: junhua024
submission_id: junhua024-chai-16-full-_38907_v1
model_name: junhua024-chai-16-full-_38907_v1
model_group: junhua024/chai_16_full_1
status: torndown
timestamp: 2025-07-19T19:27:39+00:00
num_battles: 8194
num_wins: 4022
celo_rating: 1278.38
family_friendly_score: 0.5562
family_friendly_standard_error: 0.007026258748437891
submission_type: basic
model_repo: junhua024/chai_16_full_102_qkv_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': 0.5960420260855299, 'latency_mean': 1.6775924146175385, 'latency_p50': 1.696713924407959, 'latency_p90': 1.8589783906936646}, {'batch_size': 3, 'throughput': 1.0807430705887566, 'latency_mean': 2.761206080913544, 'latency_p50': 2.805778980255127, 'latency_p90': 3.073060631752014}, {'batch_size': 5, 'throughput': 1.2990019671144353, 'latency_mean': 3.830196948051453, 'latency_p50': 3.8281253576278687, 'latency_p90': 4.338142895698548}, {'batch_size': 6, 'throughput': 1.3629735101916862, 'latency_mean': 4.368705644607544, 'latency_p50': 4.369295954704285, 'latency_p90': 4.84478108882904}, {'batch_size': 8, 'throughput': 1.421499504210877, 'latency_mean': 5.596329613924026, 'latency_p50': 5.668380856513977, 'latency_p90': 6.232298040390015}, {'batch_size': 10, 'throughput': 1.4533758172043267, 'latency_mean': 6.833204982280731, 'latency_p50': 6.862323045730591, 'latency_p90': 7.625264143943786}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-16-full-_38907_v1
is_internal_developer: False
language_model: junhua024/chai_16_full_102_qkv_o_ffn_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.29
us_pacific_date: 2025-07-19
win_ratio: 0.4908469611911154
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-38907-v1-mkmlizer
Waiting for job on junhua024-chai-16-full-38907-v1-mkmlizer to finish
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junhua024-chai-16-full-38907-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-16-full-38907-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-16-full-38907-v1-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-38907-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-16-full-38907-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-16-full-38907-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-16-full-38907-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-16-full-38907-v1-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-38907-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-16-full-38907-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-16-full-38907-v1-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-38907-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-16-full-38907-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-16-full-38907-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-16-full-38907-v1-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-38907-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-16-full-38907-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-38907-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-38907-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-38907-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-38907-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-38907-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-38907-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-38907-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-38907-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-38907-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-38907-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-38907-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-38907-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-38907-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-38907-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-38907-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-38907-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-38907-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-38907-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-38907-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-38907-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-38907-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-38907-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-38907-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-38907-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-38907-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-38907-v1-mkmlizer: Downloaded to shared memory in 136.853s
junhua024-chai-16-full-38907-v1-mkmlizer: Checking if junhua024/chai_16_full_102_qkv_o_ffn_1925 already exists in ChaiML
junhua024-chai-16-full-38907-v1-mkmlizer: Creating repo ChaiML/chai_16_full_102_qkv_o_ffn_1925 and uploading /tmp/tmp0h339xdu to it
junhua024-chai-16-full-38907-v1-mkmlizer: 
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junhua024-chai-16-full-38907-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp0h339xdu, device:0
junhua024-chai-16-full-38907-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-16-full-38907-v1-mkmlizer: quantized model in 31.930s
junhua024-chai-16-full-38907-v1-mkmlizer: Processed model junhua024/chai_16_full_102_qkv_o_ffn_1925 in 245.442s
junhua024-chai-16-full-38907-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-16-full-38907-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-16-full-38907-v1/nvidia
junhua024-chai-16-full-38907-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-16-full-38907-v1/nvidia/config.json
junhua024-chai-16-full-38907-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-16-full-38907-v1/nvidia/special_tokens_map.json
junhua024-chai-16-full-38907-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-16-full-38907-v1/nvidia/tokenizer_config.json
junhua024-chai-16-full-38907-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-16-full-38907-v1/nvidia/tokenizer.json
junhua024-chai-16-full-38907-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-16-full-38907-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-16-full-38907-v1-mkmlizer completed after 274.84s with status: succeeded
Stopping job with name junhua024-chai-16-full-38907-v1-mkmlizer
Pipeline stage MKMLizer completed in 275.52s
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-16-full-38907-v1
Waiting for inference service junhua024-chai-16-full-38907-v1 to be ready
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)
Inference service junhua024-chai-16-full-38907-v1 ready after 331.695561170578s
Pipeline stage MKMLDeployer completed in 332.16s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.597180128097534s
Received healthy response to inference request in 1.7027688026428223s
Received healthy response to inference request in 1.5922152996063232s
Received healthy response to inference request in 1.49845552444458s
Received healthy response to inference request in 1.739774465560913s
5 requests
0 failed requests
5th percentile: 1.5172074794769288
10th percentile: 1.5359594345092773
20th percentile: 1.5734633445739745
30th percentile: 1.614326000213623
40th percentile: 1.6585474014282227
50th percentile: 1.7027688026428223
60th percentile: 1.7175710678100586
70th percentile: 1.732373332977295
80th percentile: 1.9112555980682375
90th percentile: 2.2542178630828857
95th percentile: 2.42569899559021
99th percentile: 2.562883901596069
mean time: 1.8260788440704345
Pipeline stage StressChecker completed in 10.49s
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 1.05s
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 0.66s
Shutdown handler de-registered
junhua024-chai-16-full-_38907_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
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-16-full-38907-v1-profiler
Waiting for inference service junhua024-chai-16-full-38907-v1-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 4700.51s
Shutdown handler de-registered
junhua024-chai-16-full-_38907_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-16-full-_38907_v1 status is now torndown due to DeploymentManager action