junhua024-chai-16-full-_94000

developer_uid: junhua024
submission_id: junhua024-chai-16-full-_94000_v4
model_name: junhua024-chai-16-full-_94000_v4
model_group: junhua024/chai_16_full_q
status: torndown
timestamp: 2025-07-20T08:59:32+00:00
num_battles: 7870
num_wins: 3953
celo_rating: 1284.61
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
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': 0.5962228210820001, 'latency_mean': 1.6770393908023835, 'latency_p50': 1.6718740463256836, 'latency_p90': 1.8441285848617552}, {'batch_size': 3, 'throughput': 1.0729638623670201, 'latency_mean': 2.7877899849414827, 'latency_p50': 2.8022546768188477, 'latency_p90': 3.092072629928589}, {'batch_size': 5, 'throughput': 1.2854447360020966, 'latency_mean': 3.8759202659130096, 'latency_p50': 3.8729026317596436, 'latency_p90': 4.338631224632263}, {'batch_size': 6, 'throughput': 1.3377995717055167, 'latency_mean': 4.454109402894974, 'latency_p50': 4.474207639694214, 'latency_p90': 4.884816670417786}, {'batch_size': 8, 'throughput': 1.417448127714364, 'latency_mean': 5.60105672955513, 'latency_p50': 5.611287951469421, 'latency_p90': 6.332815647125244}, {'batch_size': 10, 'throughput': 1.4338086286068374, 'latency_mean': 6.915350261926651, 'latency_p50': 6.81551456451416, 'latency_p90': 7.884723472595215}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-16-full-_94000_v4
is_internal_developer: False
language_model: junhua024/chai_16_full_qkv100_o106_ffn106_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.26
us_pacific_date: 2025-07-20
win_ratio: 0.502287166454892
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-v4-mkmlizer
Waiting for job on junhua024-chai-16-full-94000-v4-mkmlizer to finish
Failed to get response for submission junhua024-chai-16-full-_96988_v1: HTTPConnectionPool(host='junhua024-chai-16-full-96988-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
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junhua024-chai-16-full-94000-v4-mkmlizer: ║                                                                     ║
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junhua024-chai-16-full-94000-v4-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-94000-v4-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-16-full-94000-v4-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-16-full-94000-v4-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-16-full-94000-v4-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-16-full-94000-v4-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-94000-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-16-full-94000-v4-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-16-full-94000-v4-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-94000-v4-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-16-full-94000-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-16-full-94000-v4-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-16-full-94000-v4-mkmlizer: ║                                                                     ║
junhua024-chai-16-full-94000-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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-94000-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-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-v4-mkmlizer: Downloaded to shared memory in 94.487s
junhua024-chai-16-full-94000-v4-mkmlizer: Checking if junhua024/chai_16_full_qkv100_o106_ffn106_1925 already exists in ChaiML
junhua024-chai-16-full-94000-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpc00pqu44, device:0
junhua024-chai-16-full-94000-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-16-full-94000-v4-mkmlizer: quantized model in 31.087s
junhua024-chai-16-full-94000-v4-mkmlizer: Processed model junhua024/chai_16_full_qkv100_o106_ffn106_1925 in 125.658s
junhua024-chai-16-full-94000-v4-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-16-full-94000-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-16-full-94000-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-16-full-94000-v4/nvidia
junhua024-chai-16-full-94000-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-16-full-94000-v4/nvidia/config.json
junhua024-chai-16-full-94000-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-16-full-94000-v4/nvidia/special_tokens_map.json
junhua024-chai-16-full-94000-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-16-full-94000-v4/nvidia/tokenizer_config.json
junhua024-chai-16-full-94000-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-16-full-94000-v4/nvidia/tokenizer.json
junhua024-chai-16-full-94000-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-16-full-94000-v4/nvidia/flywheel_model.0.safetensors
junhua024-chai-16-full-94000-v4-mkmlizer: 
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Job junhua024-chai-16-full-94000-v4-mkmlizer completed after 152.56s with status: succeeded
Stopping job with name junhua024-chai-16-full-94000-v4-mkmlizer
Pipeline stage MKMLizer completed in 153.18s
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-v4
Waiting for inference service junhua024-chai-16-full-94000-v4 to be ready
Failed to get response for submission junhua024-chai-16-full-_96988_v1: HTTPConnectionPool(host='junhua024-chai-16-full-96988-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-_96988_v4: HTTPConnectionPool(host='junhua024-chai-16-full-96988-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-_96988_v4: HTTPConnectionPool(host='junhua024-chai-16-full-96988-v4-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-v4 ready after 332.8213834762573s
Pipeline stage MKMLDeployer completed in 333.38s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.895632028579712s
Received healthy response to inference request in 1.6212520599365234s
Received healthy response to inference request in 1.6796021461486816s
Received healthy response to inference request in 1.540412187576294s
Received healthy response to inference request in 1.7714409828186035s
5 requests
0 failed requests
5th percentile: 1.55658016204834
10th percentile: 1.5727481365203857
20th percentile: 1.6050840854644775
30th percentile: 1.632922077178955
40th percentile: 1.6562621116638183
50th percentile: 1.6796021461486816
60th percentile: 1.7163376808166504
70th percentile: 1.7530732154846191
80th percentile: 1.9962791919708254
90th percentile: 2.4459556102752686
95th percentile: 2.67079381942749
99th percentile: 2.8506643867492674
mean time: 1.901667881011963
Pipeline stage StressChecker completed in 11.18s
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 0.69s
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 0.82s
Shutdown handler de-registered
junhua024-chai-16-full-_94000_v4 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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
junhua024-chai-16-full-_94000_v4 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-16-full-_94000_v4 status is now torndown due to DeploymentManager action