developer_uid: junhua024
submission_id: junhua024-chai-16-full-_10179_v3
model_name: junhua024-chai-16-full-_10179_v3
model_group: junhua024/chai_16_full_1
status: torndown
timestamp: 2025-07-19T18:27:10+00:00
num_battles: 9618
num_wins: 4704
celo_rating: 1277.5
family_friendly_score: 0.552
family_friendly_standard_error: 0.007032723512267492
submission_type: basic
model_repo: junhua024/chai_16_full_106_o_ffn_1925
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': 0.5993820473159794, 'latency_mean': 1.6682601642608643, 'latency_p50': 1.660009503364563, 'latency_p90': 1.8319295644760132}, {'batch_size': 3, 'throughput': 1.0803251449759714, 'latency_mean': 2.7714228200912476, 'latency_p50': 2.7939293384552, 'latency_p90': 3.095747447013855}, {'batch_size': 5, 'throughput': 1.296540596480285, 'latency_mean': 3.8466427230834963, 'latency_p50': 3.854037284851074, 'latency_p90': 4.272081184387207}, {'batch_size': 6, 'throughput': 1.355621785948342, 'latency_mean': 4.4001173388957975, 'latency_p50': 4.410231590270996, 'latency_p90': 4.931585812568665}, {'batch_size': 8, 'throughput': 1.4128975211411534, 'latency_mean': 5.610823787450791, 'latency_p50': 5.6325002908706665, 'latency_p90': 6.337651705741882}, {'batch_size': 10, 'throughput': 1.4438138117342596, 'latency_mean': 6.8718386340141295, 'latency_p50': 6.832894682884216, 'latency_p90': 7.8423988103866575}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-16-full-_10179_v3
is_internal_developer: False
language_model: junhua024/chai_16_full_106_o_ffn_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.28
us_pacific_date: 2025-07-19
win_ratio: 0.4890829694323144
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': "{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-16-full-10179-v3-mkmlizer
Waiting for job on junhua024-chai-16-full-10179-v3-mkmlizer to finish
junhua024-chai-16-full-10179-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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junhua024-chai-16-full-10179-v3-mkmlizer: ║ ║
junhua024-chai-16-full-10179-v3-mkmlizer: ║ Version: 0.29.15 ║
junhua024-chai-16-full-10179-v3-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
junhua024-chai-16-full-10179-v3-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
junhua024-chai-16-full-10179-v3-mkmlizer: ║ https://mk1.ai ║
junhua024-chai-16-full-10179-v3-mkmlizer: ║ ║
junhua024-chai-16-full-10179-v3-mkmlizer: ║ The license key for the current software has been verified as ║
junhua024-chai-16-full-10179-v3-mkmlizer: ║ belonging to: ║
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junhua024-chai-16-full-10179-v3-mkmlizer: ║ Chai Research Corp. ║
junhua024-chai-16-full-10179-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
junhua024-chai-16-full-10179-v3-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
junhua024-chai-16-full-10179-v3-mkmlizer: ║ ║
junhua024-chai-16-full-10179-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-16-full-10179-v3-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-16-full-10179-v3-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-16-full-10179-v3-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-16-full-10179-v3-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-16-full-10179-v3-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-16-full-10179-v3-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-16-full-10179-v3-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-nis-qwen32b-sim_98336_v34: HTTPConnectionPool(host='chaiml-nis-qwen32b-sim-98336-v34-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-16-full-10179-v3-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-16-full-10179-v3-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-16-full-10179-v3-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-16-full-10179-v3-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-16-full-10179-v3-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-16-full-10179-v3-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-16-full-10179-v3-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-16-full-10179-v3-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-16-full-10179-v3-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-16-full-10179-v3-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-16-full-10179-v3-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-16-full-10179-v3-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-16-full-10179-v3-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-16-full-10179-v3-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-16-full-10179-v3-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-16-full-10179-v3-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-16-full-10179-v3-mkmlizer: Downloaded to shared memory in 134.670s
junhua024-chai-16-full-10179-v3-mkmlizer: Checking if junhua024/chai_16_full_106_o_ffn_1925 already exists in ChaiML
junhua024-chai-16-full-10179-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpvgnsa8gf, device:0
junhua024-chai-16-full-10179-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-16-full-10179-v3-mkmlizer: quantized model in 31.456s
junhua024-chai-16-full-10179-v3-mkmlizer: Processed model junhua024/chai_16_full_106_o_ffn_1925 in 166.231s
junhua024-chai-16-full-10179-v3-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-16-full-10179-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-16-full-10179-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-16-full-10179-v3/nvidia
junhua024-chai-16-full-10179-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-16-full-10179-v3/nvidia/special_tokens_map.json
junhua024-chai-16-full-10179-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-16-full-10179-v3/nvidia/config.json
junhua024-chai-16-full-10179-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-16-full-10179-v3/nvidia/tokenizer_config.json
junhua024-chai-16-full-10179-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-16-full-10179-v3/nvidia/tokenizer.json
junhua024-chai-16-full-10179-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-16-full-10179-v3/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-16-full-10179-v3-mkmlizer completed after 192.87s with status: succeeded
Stopping job with name junhua024-chai-16-full-10179-v3-mkmlizer
Pipeline stage MKMLizer completed in 193.80s
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-16-full-10179-v3
Waiting for inference service junhua024-chai-16-full-10179-v3 to be ready
Failed to get response for submission chaiml-nis-qwen32b-sim_98336_v34: HTTPConnectionPool(host='chaiml-nis-qwen32b-sim-98336-v34-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-nis-qwen32b-sim_98336_v34: HTTPConnectionPool(host='chaiml-nis-qwen32b-sim-98336-v34-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-nis-qwen32b-sim_98336_v34: HTTPConnectionPool(host='chaiml-nis-qwen32b-sim-98336-v34-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-16-full-10179-v3 ready after 342.57175946235657s
Pipeline stage MKMLDeployer completed in 343.36s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.7364816665649414s
Received healthy response to inference request in 1.7656028270721436s
Received healthy response to inference request in 2.0542819499969482s
Received healthy response to inference request in 1.8598861694335938s
Received healthy response to inference request in 1.775073766708374s
5 requests
0 failed requests
5th percentile: 1.7674970149993896
10th percentile: 1.7693912029266357
20th percentile: 1.773179578781128
30th percentile: 1.792036247253418
40th percentile: 1.825961208343506
50th percentile: 1.8598861694335938
60th percentile: 1.9376444816589355
70th percentile: 2.0154027938842773
80th percentile: 2.1907218933105472
90th percentile: 2.4636017799377443
95th percentile: 2.6000417232513424
99th percentile: 2.709193677902222
mean time: 2.0382652759552
Failed to get response for submission junhua024-chai-16-full-_69709_v6: HTTPConnectionPool(host='junhua024-chai-16-full-69709-v6-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Pipeline stage StressChecker completed in 11.76s
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 0.82s
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 1.02s
Shutdown handler de-registered
junhua024-chai-16-full-_10179_v3 status is now deployed due to DeploymentManager action
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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 5047.04s
Shutdown handler de-registered
junhua024-chai-16-full-_10179_v3 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-16-full-_10179_v3 status is now torndown due to DeploymentManager action