junhua024-chai-1-full-066126

developer_uid: junhua024
submission_id: junhua024-chai-1-full-066126_v79
model_name: junhua024-chai-1-full-066126_v79
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-15T18:03:23+00:00
num_battles: 5679
num_wins: 2791
celo_rating: 1282.27
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
submission_type: basic
model_repo: junhua024/chai-1-full-066126
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': 0.5994179688942215, 'latency_mean': 1.6681258749961854, 'latency_p50': 1.6535226106643677, 'latency_p90': 1.8512088537216187}, {'batch_size': 3, 'throughput': 1.0953691328628594, 'latency_mean': 2.734551788568497, 'latency_p50': 2.726008176803589, 'latency_p90': 2.988126039505005}, {'batch_size': 5, 'throughput': 1.3171439311622795, 'latency_mean': 3.7755705201625824, 'latency_p50': 3.7414047718048096, 'latency_p90': 4.309659004211426}, {'batch_size': 6, 'throughput': 1.3728840908107347, 'latency_mean': 4.349457014799118, 'latency_p50': 4.2955323457717896, 'latency_p90': 4.929098677635193}, {'batch_size': 8, 'throughput': 1.4415681472164845, 'latency_mean': 5.511271206140518, 'latency_p50': 5.508386492729187, 'latency_p90': 6.226937770843506}, {'batch_size': 10, 'throughput': 1.4640439135404548, 'latency_mean': 6.7648726439476015, 'latency_p50': 6.7938737869262695, 'latency_p90': 7.70028178691864}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066126_v79
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.31
us_pacific_date: 2025-07-15
win_ratio: 0.4914597640429653
generation_params: {'temperature': 1.0, 'top_p': 0.9, 'min_p': 0.3, '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-1-full-066126-v79-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v79-mkmlizer to finish
junhua024-chai-1-full-066126-v79-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-066126-v79-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v79-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v79-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v79-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v79-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v79-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v79-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v79-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v79-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v79-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v79-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v79-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v79-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v79-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v79-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v79-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v79-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-066126-v79-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-066126-v79-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-066126-v79-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-066126-v79-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-066126-v79-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-066126-v79-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-066126-v79-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-066126-v79-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-066126-v79-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-066126-v79-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-066126-v79-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-066126-v79-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-066126-v79-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-066126-v79-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-066126-v79-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-066126-v79-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-066126-v79-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-066126-v79-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-066126-v79-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-066126-v79-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-066126-v79-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-066126-v79-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-066126-v79-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-066126-v79-mkmlizer: Downloaded to shared memory in 74.241s
junhua024-chai-1-full-066126-v79-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v79-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpfhcgtawh, device:0
junhua024-chai-1-full-066126-v79-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v79-mkmlizer: quantized model in 31.990s
junhua024-chai-1-full-066126-v79-mkmlizer: Processed model junhua024/chai-1-full-066126 in 106.308s
junhua024-chai-1-full-066126-v79-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v79-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v79-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v79/nvidia
junhua024-chai-1-full-066126-v79-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v79/nvidia/config.json
junhua024-chai-1-full-066126-v79-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v79/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v79-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v79/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v79-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v79/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v79-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v79/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-1-full-066126-v79-mkmlizer completed after 127.23s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v79-mkmlizer
Pipeline stage MKMLizer completed in 127.72s
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-1-full-066126-v79
Waiting for inference service junhua024-chai-1-full-066126-v79 to be ready
Retrying (%r) after connection broken by '%r': %s
Inference service junhua024-chai-1-full-066126-v79 ready after 242.09424424171448s
Pipeline stage MKMLDeployer completed in 242.68s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2983341217041016s
Received healthy response to inference request in 1.7102043628692627s
Received healthy response to inference request in 2.1975982189178467s
Received healthy response to inference request in 1.5625026226043701s
Received healthy response to inference request in 1.8978486061096191s
5 requests
0 failed requests
5th percentile: 1.5920429706573487
10th percentile: 1.6215833187103272
20th percentile: 1.6806640148162841
30th percentile: 1.747733211517334
40th percentile: 1.8227909088134766
50th percentile: 1.8978486061096191
60th percentile: 2.0177484512329102
70th percentile: 2.137648296356201
80th percentile: 2.2177453994750977
90th percentile: 2.2580397605895994
95th percentile: 2.2781869411468505
99th percentile: 2.2943046855926514
mean time: 1.93329758644104
Pipeline stage StressChecker completed in 11.07s
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 0.97s
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 0.70s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v79 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...
%s, retrying in %s seconds...
%s, retrying in %s seconds...
%s, retrying in %s seconds...
%s, retrying in %s seconds...
%s, retrying in %s seconds...
%s, retrying in %s seconds...
%s, retrying in %s seconds...
%s, retrying in %s seconds...
%s, retrying in %s seconds...
%s, retrying in %s seconds...
%s, retrying in %s seconds...
%s, retrying in %s seconds...
%s, retrying in %s seconds...
Received signal 15, running shutdown handler
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2692.81s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v79 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v79 status is now torndown due to DeploymentManager action