developer_uid: junhua024
submission_id: junhua024-chai-11-full-_99974_v1
model_name: junhua024-chai-11-full-_99974_v1
model_group: junhua024/chai_11_full_q
status: torndown
timestamp: 2025-07-20T11:51:44+00:00
num_battles: 10231
num_wins: 4657
celo_rating: 1245.07
family_friendly_score: 0.601
family_friendly_standard_error: 0.006925301437482704
submission_type: basic
model_repo: junhua024/chai_11_full_qkv102_o106_ffn106_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': 0.599488828456724, 'latency_mean': 1.6679395616054535, 'latency_p50': 1.6634000539779663, 'latency_p90': 1.8617388725280761}, {'batch_size': 3, 'throughput': 1.0774414109552815, 'latency_mean': 2.7761303043365477, 'latency_p50': 2.769106149673462, 'latency_p90': 3.0303573846817016}, {'batch_size': 5, 'throughput': 1.2877742176536535, 'latency_mean': 3.856052986383438, 'latency_p50': 3.832777738571167, 'latency_p90': 4.242665100097656}, {'batch_size': 6, 'throughput': 1.3436899696194304, 'latency_mean': 4.430823377370834, 'latency_p50': 4.446148037910461, 'latency_p90': 4.935878157615662}, {'batch_size': 8, 'throughput': 1.408119654073779, 'latency_mean': 5.6504566192626955, 'latency_p50': 5.701016902923584, 'latency_p90': 6.412928557395935}, {'batch_size': 10, 'throughput': 1.4458048748041652, 'latency_mean': 6.845271903276443, 'latency_p50': 6.8391817808151245, 'latency_p90': 7.709333610534668}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-11-full-_99974_v1
is_internal_developer: False
language_model: junhua024/chai_11_full_qkv102_o106_ffn106_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.27
us_pacific_date: 2025-07-20
win_ratio: 0.4551852213859838
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-11-full-99974-v1-mkmlizer
Waiting for job on junhua024-chai-11-full-99974-v1-mkmlizer to finish
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junhua024-chai-11-full-99974-v1-mkmlizer: ║ ║
junhua024-chai-11-full-99974-v1-mkmlizer: ║ Version: 0.29.15 ║
junhua024-chai-11-full-99974-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
junhua024-chai-11-full-99974-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
junhua024-chai-11-full-99974-v1-mkmlizer: ║ https://mk1.ai ║
junhua024-chai-11-full-99974-v1-mkmlizer: ║ ║
junhua024-chai-11-full-99974-v1-mkmlizer: ║ The license key for the current software has been verified as ║
junhua024-chai-11-full-99974-v1-mkmlizer: ║ belonging to: ║
junhua024-chai-11-full-99974-v1-mkmlizer: ║ ║
junhua024-chai-11-full-99974-v1-mkmlizer: ║ Chai Research Corp. ║
junhua024-chai-11-full-99974-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
junhua024-chai-11-full-99974-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
junhua024-chai-11-full-99974-v1-mkmlizer: ║ ║
junhua024-chai-11-full-99974-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-11-full-99974-v1-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-11-full-99974-v1-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-11-full-99974-v1-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-11-full-99974-v1-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-11-full-99974-v1-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-11-full-99974-v1-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-11-full-99974-v1-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-11-full-99974-v1-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-11-full-99974-v1-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-11-full-99974-v1-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-11-full-99974-v1-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-11-full-99974-v1-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-11-full-99974-v1-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-11-full-99974-v1-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-11-full-99974-v1-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 mistralai-mistral-nem_93303_v522: HTTPConnectionPool(host='mistralai-mistral-nem-93303-v522-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-11-full-99974-v1-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-11-full-99974-v1-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-11-full-99974-v1-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-11-full-99974-v1-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-11-full-99974-v1-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-11-full-99974-v1-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-11-full-99974-v1-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-11-full-99974-v1-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-11-full-99974-v1-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-11-full-99974-v1-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-11-full-99974-v1-mkmlizer: Downloaded to shared memory in 124.162s
junhua024-chai-11-full-99974-v1-mkmlizer: Checking if junhua024/chai_11_full_qkv102_o106_ffn106_1925 already exists in ChaiML
junhua024-chai-11-full-99974-v1-mkmlizer: Creating repo ChaiML/chai_11_full_qkv102_o106_ffn106_1925 and uploading /tmp/tmpg2qd1rtw to it
junhua024-chai-11-full-99974-v1-mkmlizer: 0%| | 0/26 [00:00<?, ?it/s] 4%|▍ | 1/26 [00:01<00:36, 1.46s/it] 8%|▊ | 2/26 [00:02<00:32, 1.36s/it] 12%|█▏ | 3/26 [00:04<00:31, 1.36s/it] 15%|█▌ | 4/26 [00:05<00:30, 1.38s/it] 19%|█▉ | 5/26 [00:06<00:28, 1.35s/it] 23%|██▎ | 6/26 [00:08<00:26, 1.33s/it] 27%|██▋ | 7/26 [00:10<00:30, 1.58s/it] 31%|███ | 8/26 [00:12<00:30, 1.70s/it] 35%|███▍ | 9/26 [00:13<00:27, 1.60s/it] 38%|███▊ | 10/26 [00:14<00:24, 1.51s/it] 42%|████▏ | 11/26 [00:16<00:22, 1.49s/it] 46%|████▌ | 12/26 [00:17<00:20, 1.48s/it] 50%|█████ | 13/26 [00:20<00:24, 1.91s/it] 54%|█████▍ | 14/26 [00:22<00:21, 1.78s/it] 58%|█████▊ | 15/26 [00:23<00:18, 1.68s/it] 62%|██████▏ | 16/26 [00:24<00:15, 1.60s/it] 65%|██████▌ | 17/26 [00:26<00:14, 1.57s/it] 69%|██████▉ | 18/26 [00:27<00:12, 1.51s/it] 73%|███████▎ | 19/26 [00:29<00:10, 1.54s/it] 77%|███████▋ | 20/26 [00:31<00:10, 1.74s/it] 81%|████████ | 21/26 [00:33<00:09, 1.81s/it] 85%|████████▍ | 22/26 [00:39<00:12, 3.12s/it] 88%|████████▊ | 23/26 [00:41<00:07, 2.57s/it] 92%|█████████▏| 24/26 [00:43<00:05, 2.64s/it] 96%|█████████▌| 25/26 [00:45<00:02, 2.24s/it] 100%|██████████| 26/26 [00:46<00:00, 1.90s/it] 100%|██████████| 26/26 [00:46<00:00, 1.78s/it]
Failed to get response for submission mistralai-mistral-nem_93303_v522: HTTPConnectionPool(host='mistralai-mistral-nem-93303-v522-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-11-full-99974-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpg2qd1rtw, device:0
junhua024-chai-11-full-99974-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-11-full-99974-v1-mkmlizer: quantized model in 32.055s
junhua024-chai-11-full-99974-v1-mkmlizer: Processed model junhua024/chai_11_full_qkv102_o106_ffn106_1925 in 236.511s
junhua024-chai-11-full-99974-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-11-full-99974-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-11-full-99974-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-11-full-99974-v1/nvidia
junhua024-chai-11-full-99974-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-11-full-99974-v1/nvidia/config.json
junhua024-chai-11-full-99974-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-11-full-99974-v1/nvidia/special_tokens_map.json
junhua024-chai-11-full-99974-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-11-full-99974-v1/nvidia/tokenizer_config.json
junhua024-chai-11-full-99974-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-11-full-99974-v1/nvidia/tokenizer.json
junhua024-chai-11-full-99974-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-11-full-99974-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-11-full-99974-v1-mkmlizer completed after 264.51s with status: succeeded
Stopping job with name junhua024-chai-11-full-99974-v1-mkmlizer
Pipeline stage MKMLizer completed in 265.06s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-11-full-99974-v1
Waiting for inference service junhua024-chai-11-full-99974-v1 to be ready
Failed to get response for submission mistralai-mistral-nem_93303_v522: HTTPConnectionPool(host='mistralai-mistral-nem-93303-v522-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission mistralai-mistral-nem_93303_v522: HTTPConnectionPool(host='mistralai-mistral-nem-93303-v522-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-11-full-99974-v1 ready after 332.6278405189514s
Pipeline stage MKMLDeployer completed in 333.21s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2988903522491455s
Received healthy response to inference request in 1.3410403728485107s
Received healthy response to inference request in 1.6989068984985352s
Received healthy response to inference request in 1.601076364517212s
Received healthy response to inference request in 1.6936707496643066s
5 requests
0 failed requests
5th percentile: 1.393047571182251
10th percentile: 1.4450547695159912
20th percentile: 1.5490691661834717
30th percentile: 1.6195952415466308
40th percentile: 1.6566329956054688
50th percentile: 1.6936707496643066
60th percentile: 1.695765209197998
70th percentile: 1.6978596687316894
80th percentile: 1.8189035892486574
90th percentile: 2.0588969707489015
95th percentile: 2.1788936614990235
99th percentile: 2.274891014099121
mean time: 1.726716947555542
Pipeline stage StressChecker completed in 10.21s
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 0.75s
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 0.71s
Shutdown handler de-registered
junhua024-chai-11-full-_99974_v1 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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5508.06s
Shutdown handler de-registered
junhua024-chai-11-full-_99974_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-11-full-_99974_v1 status is now torndown due to DeploymentManager action