albertwang8192-2025-07-11-7

developer_uid: RandomForest1024

submission_id: albertwang8192-2025-07-11-7_v9

model_name: 2025-07-11_7_v9

model_group: AlbertWang8192/2025-07-1

status: torndown

timestamp: 2025-07-12T18:28:47+00:00

num_battles: 7208

num_wins: 3580

celo_rating: 1270.78

family_friendly_score: 0.5532

family_friendly_standard_error: 0.0070309282459715084

submission_type: basic

model_repo: AlbertWang8192/2025-07-11_7

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': 0.5894292159218399, 'latency_mean': 1.6964302515983583, 'latency_p50': 1.697015404701233, 'latency_p90': 1.8763538360595702}, {'batch_size': 3, 'throughput': 1.0558465567501651, 'latency_mean': 2.8357266318798064, 'latency_p50': 2.8346827030181885, 'latency_p90': 3.1045344352722166}, {'batch_size': 5, 'throughput': 1.2510021421933497, 'latency_mean': 3.979138756990433, 'latency_p50': 3.9648085832595825, 'latency_p90': 4.428705096244812}, {'batch_size': 6, 'throughput': 1.3061313340911844, 'latency_mean': 4.56288130402565, 'latency_p50': 4.588587522506714, 'latency_p90': 5.077271366119385}, {'batch_size': 8, 'throughput': 1.3721242069541926, 'latency_mean': 5.782471930980682, 'latency_p50': 5.793995022773743, 'latency_p90': 6.536129140853881}, {'batch_size': 10, 'throughput': 1.414423368826818, 'latency_mean': 7.0195848488807675, 'latency_p50': 7.023459196090698, 'latency_p90': 7.855610632896423}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: 2025-07-11_7_v9

is_internal_developer: False

language_model: AlbertWang8192/2025-07-11_7

model_size: 13B

ranking_group: single

throughput_3p7s: 1.22

us_pacific_date: 2025-07-12

win_ratio: 0.49667036625971145

generation_params: {'temperature': 0.6, 'top_p': 0.95, 'min_p': 0.025, 'top_k': 10, 'presence_penalty': 0.4, 'frequency_penalty': 0.4, 'stopping_words': ['\n', '<|im_end|>', '<|im_start|>'], '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': True}

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 albertwang8192-2025-07-11-7-v9-mkmlizer
Waiting for job on albertwang8192-2025-07-11-7-v9-mkmlizer to finish
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albertwang8192-2025-07-11-7-v9-mkmlizer: ║                                                                     ║
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albertwang8192-2025-07-11-7-v9-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
albertwang8192-2025-07-11-7-v9-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-11-7-v9-mkmlizer: ║  Version: 0.29.15                                                   ║
albertwang8192-2025-07-11-7-v9-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
albertwang8192-2025-07-11-7-v9-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
albertwang8192-2025-07-11-7-v9-mkmlizer: ║  https://mk1.ai                                                     ║
albertwang8192-2025-07-11-7-v9-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-11-7-v9-mkmlizer: ║  The license key for the current software has been verified as      ║
albertwang8192-2025-07-11-7-v9-mkmlizer: ║  belonging to:                                                      ║
albertwang8192-2025-07-11-7-v9-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-11-7-v9-mkmlizer: ║  Chai Research Corp.                                                ║
albertwang8192-2025-07-11-7-v9-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
albertwang8192-2025-07-11-7-v9-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
albertwang8192-2025-07-11-7-v9-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-11-7-v9-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
albertwang8192-2025-07-11-7-v9-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`
albertwang8192-2025-07-11-7-v9-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`
albertwang8192-2025-07-11-7-v9-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`
albertwang8192-2025-07-11-7-v9-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`
albertwang8192-2025-07-11-7-v9-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`
albertwang8192-2025-07-11-7-v9-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`
albertwang8192-2025-07-11-7-v9-mkmlizer: Downloaded to shared memory in 30.631s
albertwang8192-2025-07-11-7-v9-mkmlizer: Checking if AlbertWang8192/2025-07-11_7 already exists in ChaiML
albertwang8192-2025-07-11-7-v9-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpnbp2bbqb, device:0
albertwang8192-2025-07-11-7-v9-mkmlizer: Saving flywheel model at /dev/shm/model_cache
albertwang8192-2025-07-11-7-v9-mkmlizer: quantized model in 30.397s
albertwang8192-2025-07-11-7-v9-mkmlizer: Processed model AlbertWang8192/2025-07-11_7 in 61.172s
albertwang8192-2025-07-11-7-v9-mkmlizer: creating bucket guanaco-mkml-models
albertwang8192-2025-07-11-7-v9-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
albertwang8192-2025-07-11-7-v9-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/albertwang8192-2025-07-11-7-v9/nvidia
albertwang8192-2025-07-11-7-v9-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/albertwang8192-2025-07-11-7-v9/nvidia/config.json
albertwang8192-2025-07-11-7-v9-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/albertwang8192-2025-07-11-7-v9/nvidia/special_tokens_map.json
albertwang8192-2025-07-11-7-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/albertwang8192-2025-07-11-7-v9/nvidia/tokenizer_config.json
albertwang8192-2025-07-11-7-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/albertwang8192-2025-07-11-7-v9/nvidia/tokenizer.json
albertwang8192-2025-07-11-7-v9-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/albertwang8192-2025-07-11-7-v9/nvidia/flywheel_model.0.safetensors
albertwang8192-2025-07-11-7-v9-mkmlizer: 
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Job albertwang8192-2025-07-11-7-v9-mkmlizer completed after 85.62s with status: succeeded
Stopping job with name albertwang8192-2025-07-11-7-v9-mkmlizer
Pipeline stage MKMLizer completed in 86.13s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
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Running pipeline stage MKMLDeployer
Creating inference service albertwang8192-2025-07-11-7-v9
Waiting for inference service albertwang8192-2025-07-11-7-v9 to be ready
Inference service albertwang8192-2025-07-11-7-v9 ready after 210.74964570999146s
Pipeline stage MKMLDeployer completed in 211.21s
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Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 2.6513712406158447s
Received healthy response to inference request in 1.8753418922424316s
Received healthy response to inference request in 1.5778777599334717s
Received healthy response to inference request in 1.8195850849151611s
5 requests
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5th percentile: 1.6262192249298095
10th percentile: 1.6745606899261474
20th percentile: 1.7712436199188233
30th percentile: 1.8307364463806153
40th percentile: 1.8530391693115233
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60th percentile: 2.1857536315917967
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80th percentile: 6.325829935073855
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99th percentile: 20.288772974014282
mean time: 5.789568138122559
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5th percentile: 1.526136827468872
10th percentile: 1.5950278282165526
20th percentile: 1.732809829711914
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90th percentile: 1.9406558990478515
95th percentile: 1.9612577915191651
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mean time: 1.7921308994293212
Pipeline stage StressChecker completed in 40.69s
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Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3543.58s
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albertwang8192-2025-07-11-7_v9 status is now inactive due to auto deactivation removed underperforming models
albertwang8192-2025-07-11-7_v9 status is now torndown due to DeploymentManager action