developer_uid: junhua024
submission_id: junhua024-chai-1-full-066126_v35
model_name: junhua024-chai-1-full-066126_v35
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-14T15:52:03+00:00
num_battles: 8029
num_wins: 3849
celo_rating: 1276.74
family_friendly_score: 0.546
family_friendly_standard_error: 0.007041079462696043
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': 0.5844267053218287, 'latency_mean': 1.7108969342708589, 'latency_p50': 1.7131215333938599, 'latency_p90': 1.8840468406677247}, {'batch_size': 3, 'throughput': 1.0385800152772615, 'latency_mean': 2.8841612446308136, 'latency_p50': 2.9078439474105835, 'latency_p90': 3.112659049034119}, {'batch_size': 5, 'throughput': 1.2497825442127026, 'latency_mean': 3.9835131084918975, 'latency_p50': 4.007977724075317, 'latency_p90': 4.4764474630355835}, {'batch_size': 6, 'throughput': 1.3045292017602041, 'latency_mean': 4.57064678311348, 'latency_p50': 4.55411684513092, 'latency_p90': 5.200904631614685}, {'batch_size': 8, 'throughput': 1.3527626629888294, 'latency_mean': 5.877735599279403, 'latency_p50': 5.904064655303955, 'latency_p90': 6.525784850120544}, {'batch_size': 10, 'throughput': 1.3785974897845203, 'latency_mean': 7.203866316080093, 'latency_p50': 7.215677738189697, 'latency_p90': 8.018966889381408}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066126_v35
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.21
us_pacific_date: 2025-07-14
win_ratio: 0.47938722132270517
generation_params: {'temperature': 1.0, 'top_p': 0.96, '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-1-full-066126-v35-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v35-mkmlizer to finish
Failed to get response for submission chaiml-gy-exp162-lipo-g_57472_v2: HTTPConnectionPool(host='chaiml-gy-exp162-lipo-g-57472-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-1-full-066126-v35-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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junhua024-chai-1-full-066126-v35-mkmlizer: ║ ║
junhua024-chai-1-full-066126-v35-mkmlizer: ║ Version: 0.29.15 ║
junhua024-chai-1-full-066126-v35-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
junhua024-chai-1-full-066126-v35-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
junhua024-chai-1-full-066126-v35-mkmlizer: ║ https://mk1.ai ║
junhua024-chai-1-full-066126-v35-mkmlizer: ║ ║
junhua024-chai-1-full-066126-v35-mkmlizer: ║ The license key for the current software has been verified as ║
junhua024-chai-1-full-066126-v35-mkmlizer: ║ belonging to: ║
junhua024-chai-1-full-066126-v35-mkmlizer: ║ ║
junhua024-chai-1-full-066126-v35-mkmlizer: ║ Chai Research Corp. ║
junhua024-chai-1-full-066126-v35-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
junhua024-chai-1-full-066126-v35-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
junhua024-chai-1-full-066126-v35-mkmlizer: ║ ║
junhua024-chai-1-full-066126-v35-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v35-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-v35-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-v35-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-v35-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-v35-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-v35-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-v35-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-v35-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-v35-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-v35-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-v35-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-v35-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-v35-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-v35-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-v35-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-v35-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-v35-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-gy-exp162-lipo-g_57472_v2: HTTPConnectionPool(host='chaiml-gy-exp162-lipo-g-57472-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-1-full-066126-v35-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-v35-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-v35-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-v35-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-v35-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-v35-mkmlizer: Downloaded to shared memory in 77.634s
junhua024-chai-1-full-066126-v35-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v35-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp6xuypghr, device:0
junhua024-chai-1-full-066126-v35-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v35-mkmlizer: quantized model in 31.832s
junhua024-chai-1-full-066126-v35-mkmlizer: Processed model junhua024/chai-1-full-066126 in 109.549s
junhua024-chai-1-full-066126-v35-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v35-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v35-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v35/nvidia
junhua024-chai-1-full-066126-v35-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v35/nvidia/config.json
junhua024-chai-1-full-066126-v35-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v35/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v35-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v35/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v35-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v35/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v35-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v35/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-1-full-066126-v35-mkmlizer completed after 136.91s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v35-mkmlizer
Pipeline stage MKMLizer completed in 138.17s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.29s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v35
Waiting for inference service junhua024-chai-1-full-066126-v35 to be ready
Failed to get response for submission chaiml-gy-exp162-lipo-g_57472_v2: HTTPConnectionPool(host='chaiml-gy-exp162-lipo-g-57472-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-1-full-066126-v35 ready after 227.1996123790741s
Pipeline stage MKMLDeployer completed in 229.78s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.9894492626190186s
Received healthy response to inference request in 2.2881860733032227s
Received healthy response to inference request in 1.978079080581665s
Received healthy response to inference request in 2.4448044300079346s
Received healthy response to inference request in 2.337024688720703s
5 requests
0 failed requests
5th percentile: 2.0401004791259765
10th percentile: 2.102121877670288
20th percentile: 2.226164674758911
30th percentile: 2.297953796386719
40th percentile: 2.317489242553711
50th percentile: 2.337024688720703
60th percentile: 2.380136585235596
70th percentile: 2.4232484817504885
80th percentile: 2.5537333965301516
90th percentile: 2.771591329574585
95th percentile: 2.8805202960968015
99th percentile: 2.967663469314575
mean time: 2.407508707046509
Pipeline stage StressChecker completed in 16.23s
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 1.43s
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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 1.34s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v35 status is now deployed due to DeploymentManager action
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 2943.38s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v35 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v35 status is now torndown due to DeploymentManager action