junhua024-chai-1-full-061

developer_uid: junhua024
submission_id: junhua024-chai-1-full-061_v2
model_name: junhua024-chai-1-full-061_v2
model_group: junhua024/chai_1-full_06
status: torndown
timestamp: 2025-06-29T08:31:01+00:00
num_battles: 7783
num_wins: 3565
celo_rating: 1244.96
family_friendly_score: 0.5964
family_friendly_standard_error: 0.006938400968522935
submission_type: basic
model_repo: junhua024/chai_1-full_061
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': 0.5978942963563566, 'latency_mean': 1.672352750301361, 'latency_p50': 1.66237473487854, 'latency_p90': 1.8578932285308838}, {'batch_size': 3, 'throughput': 1.0780584860911575, 'latency_mean': 2.7772942197322847, 'latency_p50': 2.773398518562317, 'latency_p90': 3.0714395999908444}, {'batch_size': 5, 'throughput': 1.2859788736190068, 'latency_mean': 3.8643833136558534, 'latency_p50': 3.826767921447754, 'latency_p90': 4.362184000015259}, {'batch_size': 6, 'throughput': 1.3403717242266502, 'latency_mean': 4.43888787150383, 'latency_p50': 4.4407899379730225, 'latency_p90': 5.029103207588196}, {'batch_size': 8, 'throughput': 1.4133684998229803, 'latency_mean': 5.629757852554321, 'latency_p50': 5.651025891304016, 'latency_p90': 6.391824316978455}, {'batch_size': 10, 'throughput': 1.4432256697117463, 'latency_mean': 6.865049366950989, 'latency_p50': 6.856836199760437, 'latency_p90': 7.819392228126526}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-061_v2
is_internal_developer: False
language_model: junhua024/chai_1-full_061
model_size: 13B
ranking_group: single
throughput_3p7s: 1.27
us_pacific_date: 2025-06-29
win_ratio: 0.4580495952717461
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, '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-061-v2-mkmlizer
Waiting for job on junhua024-chai-1-full-061-v2-mkmlizer to finish
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junhua024-chai-1-full-061-v2-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-061-v2-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-061-v2-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-061-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-061-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-061-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-061-v2-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-061-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-061-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-061-v2-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-061-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-061-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-061-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-061-v2-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-061-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-061-v2-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-061-v2-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-061-v2-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-061-v2-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-061-v2-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-061-v2-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-061-v2-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-061-v2-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-061-v2-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-061-v2-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-061-v2-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-061-v2-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-061-v2-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-061-v2-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-061-v2-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-061-v2-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-061-v2-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-061-v2-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-061-v2-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-061-v2-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-061-v2-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-061-v2-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-061-v2-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-061-v2-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-061-v2-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-061-v2-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-061-v2-mkmlizer: Downloaded to shared memory in 125.354s
junhua024-chai-1-full-061-v2-mkmlizer: Checking if junhua024/chai_1-full_061 already exists in ChaiML
junhua024-chai-1-full-061-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpb9c9uj8f, device:0
junhua024-chai-1-full-061-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-061-v2-mkmlizer: quantized model in 31.664s
junhua024-chai-1-full-061-v2-mkmlizer: Processed model junhua024/chai_1-full_061 in 157.107s
junhua024-chai-1-full-061-v2-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-061-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-061-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-061-v2
junhua024-chai-1-full-061-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-061-v2/config.json
junhua024-chai-1-full-061-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-061-v2/special_tokens_map.json
junhua024-chai-1-full-061-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-061-v2/tokenizer.json
junhua024-chai-1-full-061-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-061-v2/flywheel_model.0.safetensors
junhua024-chai-1-full-061-v2-mkmlizer: 
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Job junhua024-chai-1-full-061-v2-mkmlizer completed after 178.11s with status: succeeded
Stopping job with name junhua024-chai-1-full-061-v2-mkmlizer
Pipeline stage MKMLizer completed in 178.92s
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-061-v2
Waiting for inference service junhua024-chai-1-full-061-v2 to be ready
Inference service junhua024-chai-1-full-061-v2 ready after 180.95465660095215s
Pipeline stage MKMLDeployer completed in 181.56s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.518122911453247s
Received healthy response to inference request in 1.7389283180236816s
Received healthy response to inference request in 1.8361828327178955s
Received healthy response to inference request in 2.0199215412139893s
Received healthy response to inference request in 1.9615943431854248s
5 requests
0 failed requests
5th percentile: 1.7583792209625244
10th percentile: 1.7778301239013672
20th percentile: 1.8167319297790527
30th percentile: 1.8612651348114013
40th percentile: 1.9114297389984132
50th percentile: 1.9615943431854248
60th percentile: 1.9849252223968505
70th percentile: 2.0082561016082763
80th percentile: 2.1195618152618407
90th percentile: 2.318842363357544
95th percentile: 2.4184826374053956
99th percentile: 2.4981948566436767
mean time: 2.014949989318848
Pipeline stage StressChecker completed in 11.80s
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 0.89s
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 0.67s
Shutdown handler de-registered
junhua024-chai-1-full-061_v2 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 0.15s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-061-v2-profiler
Waiting for inference service junhua024-chai-1-full-061-v2-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 5630.65s
Shutdown handler de-registered
junhua024-chai-1-full-061_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-061_v2 status is now torndown due to DeploymentManager action