developer_uid: junhua024
submission_id: junhua024-chai-02-full-01220_v7
model_name: junhua024-chai-02-full-01220_v7
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-22T14:31:23+00:00
num_battles: 5933
num_wins: 3004
celo_rating: 1274.7
family_friendly_score: 0.5492
family_friendly_standard_error: 0.007036751523252757
submission_type: basic
model_repo: junhua024/chai_02_full_01220
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': 0.66219027959149, 'latency_mean': 1.5099760460853577, 'latency_p50': 1.511960744857788, 'latency_p90': 1.6460861921310426}, {'batch_size': 3, 'throughput': 1.1434955720348388, 'latency_mean': 2.616641420125961, 'latency_p50': 2.62321937084198, 'latency_p90': 2.92872953414917}, {'batch_size': 5, 'throughput': 1.3294138414638121, 'latency_mean': 3.7460186970233917, 'latency_p50': 3.715698003768921, 'latency_p90': 4.260173106193543}, {'batch_size': 6, 'throughput': 1.3832828215828015, 'latency_mean': 4.322296966314315, 'latency_p50': 4.342689514160156, 'latency_p90': 4.853015422821045}, {'batch_size': 8, 'throughput': 1.4353123269051618, 'latency_mean': 5.528893107175827, 'latency_p50': 5.5451353788375854, 'latency_p90': 6.172122430801391}, {'batch_size': 10, 'throughput': 1.4708182157648289, 'latency_mean': 6.742420580387115, 'latency_p50': 6.731924295425415, 'latency_p90': 7.589784789085388}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full-01220_v7
is_internal_developer: False
language_model: junhua024/chai_02_full_01220
model_size: 13B
ranking_group: single
throughput_3p7s: 1.33
us_pacific_date: 2025-07-22
win_ratio: 0.5063205798078544
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-02-full-01220-v7-mkmlizer
Waiting for job on junhua024-chai-02-full-01220-v7-mkmlizer to finish
junhua024-chai-02-full-01220-v7-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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junhua024-chai-02-full-01220-v7-mkmlizer: ║ ║
junhua024-chai-02-full-01220-v7-mkmlizer: ║ Version: 0.29.15 ║
junhua024-chai-02-full-01220-v7-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
junhua024-chai-02-full-01220-v7-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
junhua024-chai-02-full-01220-v7-mkmlizer: ║ https://mk1.ai ║
junhua024-chai-02-full-01220-v7-mkmlizer: ║ ║
junhua024-chai-02-full-01220-v7-mkmlizer: ║ The license key for the current software has been verified as ║
junhua024-chai-02-full-01220-v7-mkmlizer: ║ belonging to: ║
junhua024-chai-02-full-01220-v7-mkmlizer: ║ ║
junhua024-chai-02-full-01220-v7-mkmlizer: ║ Chai Research Corp. ║
junhua024-chai-02-full-01220-v7-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
junhua024-chai-02-full-01220-v7-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
junhua024-chai-02-full-01220-v7-mkmlizer: ║ ║
junhua024-chai-02-full-01220-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-01220-v7-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-02-full-01220-v7-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-02-full-01220-v7-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-next-door-annoyi_15417_v1: ('http://chaiml-next-door-annoyi-15417-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
junhua024-chai-02-full-01220-v7-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-02-full-01220-v7-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-02-full-01220-v7-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-02-full-01220-v7-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-02-full-01220-v7-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-02-full-01220-v7-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-02-full-01220-v7-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-02-full-01220-v7-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-02-full-01220-v7-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-02-full-01220-v7-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-02-full-01220-v7-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-02-full-01220-v7-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-02-full-01220-v7-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-02-full-01220-v7-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-02-full-01220-v7-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-02-full-01220-v7-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-02-full-01220-v7-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-02-full-01220-v7-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-02-full-01220-v7-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-02-full-01220-v7-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-02-full-01220-v7-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-02-full-01220-v7-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-02-full-01220-v7-mkmlizer: Downloaded to shared memory in 150.375s
junhua024-chai-02-full-01220-v7-mkmlizer: Checking if junhua024/chai_02_full_01220 already exists in ChaiML
junhua024-chai-02-full-01220-v7-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpdojt1dl_, device:0
junhua024-chai-02-full-01220-v7-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission chaiml-llama-8b-nis-retu_8225_v2: HTTPConnectionPool(host='chaiml-llama-8b-nis-retu-8225-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-next-door-annoyi_15417_v1: ('http://chaiml-next-door-annoyi-15417-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
junhua024-chai-02-full-01220-v7-mkmlizer: quantized model in 163.568s
junhua024-chai-02-full-01220-v7-mkmlizer: Processed model junhua024/chai_02_full_01220 in 314.026s
junhua024-chai-02-full-01220-v7-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-01220-v7-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-01220-v7-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-01220-v7/nvidia
junhua024-chai-02-full-01220-v7-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-01220-v7/nvidia/special_tokens_map.json
junhua024-chai-02-full-01220-v7-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-01220-v7/nvidia/config.json
junhua024-chai-02-full-01220-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-01220-v7/nvidia/tokenizer_config.json
junhua024-chai-02-full-01220-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-01220-v7/nvidia/tokenizer.json
junhua024-chai-02-full-01220-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-01220-v7/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-02-full-01220-v7-mkmlizer completed after 338.12s with status: succeeded
Stopping job with name junhua024-chai-02-full-01220-v7-mkmlizer
Pipeline stage MKMLizer completed in 338.84s
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-02-full-01220-v7
Waiting for inference service junhua024-chai-02-full-01220-v7 to be ready
Failed to get response for submission chaiml-llama-8b-nis-retu_8225_v2: HTTPConnectionPool(host='chaiml-llama-8b-nis-retu-8225-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-02-full-01220-v7 ready after 321.7321979999542s
Pipeline stage MKMLDeployer completed in 322.52s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.629363775253296s
Received healthy response to inference request in 1.4939422607421875s
Received healthy response to inference request in 1.6202614307403564s
Received healthy response to inference request in 1.566530704498291s
Received healthy response to inference request in 1.6458547115325928s
5 requests
0 failed requests
5th percentile: 1.5084599494934081
10th percentile: 1.522977638244629
20th percentile: 1.5520130157470704
30th percentile: 1.577276849746704
40th percentile: 1.5987691402435302
50th percentile: 1.6202614307403564
60th percentile: 1.630498743057251
70th percentile: 1.6407360553741455
80th percentile: 1.8425565242767337
90th percentile: 2.2359601497650146
95th percentile: 2.432661962509155
99th percentile: 2.590023412704468
mean time: 1.7911905765533447
Pipeline stage StressChecker completed in 10.35s
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 0.65s
Shutdown handler de-registered
junhua024-chai-02-full-01220_v7 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
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-02-full-01220-v7-profiler
Waiting for inference service junhua024-chai-02-full-01220-v7-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
Pipeline stage OfflineFamilyFriendlyScorer completed in 3182.24s
Shutdown handler de-registered
junhua024-chai-02-full-01220_v7 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full-01220_v7 status is now torndown due to DeploymentManager action