junhua024-chai-1-full-002

developer_uid: junhua024
submission_id: junhua024-chai-1-full-002_v17
model_name: junhua024-chai-1-full-002_v17
model_group: junhua024/chai_1-full_00
status: torndown
timestamp: 2025-06-29T07:16:58+00:00
num_battles: 7937
num_wins: 3555
celo_rating: 1241.86
family_friendly_score: 0.5913999999999999
family_friendly_standard_error: 0.006951921173316049
submission_type: basic
model_repo: junhua024/chai_1-full_002
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': 0.5924789943739015, 'latency_mean': 1.6876475954055785, 'latency_p50': 1.7059712409973145, 'latency_p90': 1.849890661239624}, {'batch_size': 3, 'throughput': 1.074470400889435, 'latency_mean': 2.78026771068573, 'latency_p50': 2.7842499017715454, 'latency_p90': 3.0377803087234496}, {'batch_size': 5, 'throughput': 1.2784303373951624, 'latency_mean': 3.880575808286667, 'latency_p50': 3.8481616973876953, 'latency_p90': 4.303769540786743}, {'batch_size': 6, 'throughput': 1.354892383552234, 'latency_mean': 4.404048784971237, 'latency_p50': 4.417508840560913, 'latency_p90': 4.907736420631409}, {'batch_size': 8, 'throughput': 1.413885093472858, 'latency_mean': 5.618001710176468, 'latency_p50': 5.561676859855652, 'latency_p90': 6.388618350028992}, {'batch_size': 10, 'throughput': 1.4641835791990885, 'latency_mean': 6.7869152617454525, 'latency_p50': 6.802779793739319, 'latency_p90': 7.6334474086761475}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-002_v17
is_internal_developer: False
language_model: junhua024/chai_1-full_002
model_size: 13B
ranking_group: single
throughput_3p7s: 1.26
us_pacific_date: 2025-06-29
win_ratio: 0.4479022300617362
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.2, 'top_k': 40, 'presence_penalty': 0.1, '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-002-v17-mkmlizer
Waiting for job on junhua024-chai-1-full-002-v17-mkmlizer to finish
junhua024-chai-1-full-002-v17-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-002-v17-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-002-v17-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v17-mkmlizer: ║  Version: 0.29.3                                                    ║
junhua024-chai-1-full-002-v17-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-002-v17-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-002-v17-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-002-v17-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v17-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-002-v17-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-002-v17-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v17-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-002-v17-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-002-v17-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-002-v17-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-002-v17-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-002-v17-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-002-v17-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-002-v17-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-002-v17-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-002-v17-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-002-v17-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-002-v17-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-002-v17-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-002-v17-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-002-v17-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-002-v17-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-002-v17-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-002-v17-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-002-v17-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-002-v17-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-002-v17-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-002-v17-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-002-v17-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-002-v17-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-002-v17-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-002-v17-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-002-v17-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-002-v17-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-002-v17-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-002-v17-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-002-v17-mkmlizer: Downloaded to shared memory in 74.944s
junhua024-chai-1-full-002-v17-mkmlizer: Checking if junhua024/chai_1-full_002 already exists in ChaiML
junhua024-chai-1-full-002-v17-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpowz_bods, device:0
junhua024-chai-1-full-002-v17-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission junhua024-chai-1-full-002_v16: HTTPConnectionPool(host='junhua024-chai-1-full-002-v16-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-1-full-002-v17-mkmlizer: quantized model in 31.341s
junhua024-chai-1-full-002-v17-mkmlizer: Processed model junhua024/chai_1-full_002 in 106.368s
junhua024-chai-1-full-002-v17-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-002-v17-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-002-v17-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-002-v17
Connection pool is full, discarding connection: %s. Connection pool size: %s
junhua024-chai-1-full-002-v17-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v17/tokenizer_config.json
junhua024-chai-1-full-002-v17-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-002-v17/tokenizer.json
junhua024-chai-1-full-002-v17-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-002-v17/flywheel_model.0.safetensors
junhua024-chai-1-full-002-v17-mkmlizer: 
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Job junhua024-chai-1-full-002-v17-mkmlizer completed after 125.93s with status: succeeded
Stopping job with name junhua024-chai-1-full-002-v17-mkmlizer
Pipeline stage MKMLizer completed in 126.45s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-002-v17
Waiting for inference service junhua024-chai-1-full-002-v17 to be ready
Failed to get response for submission junhua024-chai-1-full-002_v16: HTTPConnectionPool(host='junhua024-chai-1-full-002-v16-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-1-full-002_v16: HTTPConnectionPool(host='junhua024-chai-1-full-002-v16-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-1-full-002-v17 ready after 181.03808617591858s
Pipeline stage MKMLDeployer completed in 181.84s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.617265224456787s
Received healthy response to inference request in 1.6325445175170898s
Received healthy response to inference request in 1.6995880603790283s
Received healthy response to inference request in 1.7020156383514404s
Received healthy response to inference request in 1.5658504962921143s
5 requests
0 failed requests
5th percentile: 1.5791893005371094
10th percentile: 1.5925281047821045
20th percentile: 1.6192057132720947
30th percentile: 1.6459532260894776
40th percentile: 1.6727706432342528
50th percentile: 1.6995880603790283
60th percentile: 1.7005590915679931
70th percentile: 1.701530122756958
80th percentile: 1.88506555557251
90th percentile: 2.2511653900146484
95th percentile: 2.4342153072357178
99th percentile: 2.580655241012573
mean time: 1.843452787399292
Pipeline stage StressChecker completed in 10.82s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.80s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.74s
Shutdown handler de-registered
junhua024-chai-1-full-002_v17 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 0.16s
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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-002-v17-profiler
Waiting for inference service junhua024-chai-1-full-002-v17-profiler to be ready
Shutdown handler registered
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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 5150.84s
Shutdown handler de-registered
junhua024-chai-1-full-002_v17 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-002_v17 status is now torndown due to DeploymentManager action