junhua024-chai-1-full-066126

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066126_v66

model_name: junhua024-chai-1-full-066126_v66

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-15T12:56:38+00:00

num_battles: 7472

num_wins: 3748

celo_rating: 1269.88

family_friendly_score: 0.5589999999999999

family_friendly_standard_error: 0.007021666468866205

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': 0.6008164040447114, 'latency_mean': 1.6642313611507416, 'latency_p50': 1.6611568927764893, 'latency_p90': 1.8443725824356079}, {'batch_size': 3, 'throughput': 1.0822159523840917, 'latency_mean': 2.7620499551296236, 'latency_p50': 2.7394200563430786, 'latency_p90': 3.040484261512756}, {'batch_size': 5, 'throughput': 1.2853477653185648, 'latency_mean': 3.867713006734848, 'latency_p50': 3.901918411254883, 'latency_p90': 4.302619409561157}, {'batch_size': 6, 'throughput': 1.3516515398152535, 'latency_mean': 4.408239469528199, 'latency_p50': 4.417378187179565, 'latency_p90': 5.047732472419739}, {'batch_size': 8, 'throughput': 1.4090847781197855, 'latency_mean': 5.639078080654144, 'latency_p50': 5.623719930648804, 'latency_p90': 6.271670579910278}, {'batch_size': 10, 'throughput': 1.4462347470467654, 'latency_mean': 6.861039667129517, 'latency_p50': 6.848055601119995, 'latency_p90': 7.732995223999024}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066126_v66

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.27

us_pacific_date: 2025-07-15

win_ratio: 0.5016059957173448

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': '{memory} What nuanced feelings and emotions lie behind those earlier words?', '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-v66-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v66-mkmlizer to finish
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junhua024-chai-1-full-066126-v66-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v66-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v66-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v66-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v66-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v66-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v66-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v66-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v66-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v66-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v66-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v66-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v66-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v66-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v66-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v66-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v66-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-v66-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-v66-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-v66-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-v66-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-v66-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-v66-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-v66-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-v66-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-v66-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-v66-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-v66-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-v66-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-v66-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-v66-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-v66-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-v66-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-v66-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-v66-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-v66-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-v66-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-v66-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-v66-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-v66-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-v66-mkmlizer: Downloaded to shared memory in 70.405s
junhua024-chai-1-full-066126-v66-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v66-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp8nsar0hf, device:0
junhua024-chai-1-full-066126-v66-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v66-mkmlizer: quantized model in 31.106s
junhua024-chai-1-full-066126-v66-mkmlizer: Processed model junhua024/chai-1-full-066126 in 101.621s
junhua024-chai-1-full-066126-v66-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v66-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v66-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v66/nvidia
junhua024-chai-1-full-066126-v66-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v66/nvidia/config.json
junhua024-chai-1-full-066126-v66-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v66/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v66-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v66/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v66-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v66/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v66-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v66/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-1-full-066126-v66-mkmlizer completed after 129.64s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v66-mkmlizer
Pipeline stage MKMLizer completed in 130.19s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v66
Waiting for inference service junhua024-chai-1-full-066126-v66 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service junhua024-chai-1-full-066126-v66 ready after 242.30752396583557s
Pipeline stage MKMLDeployer completed in 243.16s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5524871349334717s
Received healthy response to inference request in 1.629302978515625s
Received healthy response to inference request in 1.5580103397369385s
Received healthy response to inference request in 1.9775779247283936s
Received healthy response to inference request in 1.7685658931732178s
5 requests
0 failed requests
5th percentile: 1.5722688674926757
10th percentile: 1.5865273952484131
20th percentile: 1.6150444507598878
30th percentile: 1.6571555614471436
40th percentile: 1.7128607273101806
50th percentile: 1.7685658931732178
60th percentile: 1.852170705795288
70th percentile: 1.9357755184173584
80th percentile: 2.0925597667694094
90th percentile: 2.3225234508514405
95th percentile: 2.437505292892456
99th percentile: 2.5294907665252686
mean time: 1.8971888542175293
Pipeline stage StressChecker completed in 11.45s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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starting trigger_guanaco_pipeline args=%s
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.91s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 1.10s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v66 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.18s
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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-1-full-066126-v66-profiler
Waiting for inference service junhua024-chai-1-full-066126-v66-profiler to be ready
Shutdown handler registered
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3541.75s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v66 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v66 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v66 status is now torndown due to DeploymentManager action