developer_uid: junhua024
submission_id: junhua024-chai-1-full_94469_v106
model_name: junhua024-chai-1-full_94469_v106
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-16T07:07:37+00:00
num_battles: 7568
num_wins: 3661
celo_rating: 1278.95
family_friendly_score: 0.5518000000000001
family_friendly_standard_error: 0.007033018697543751
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': 0.600771955919652, 'latency_mean': 1.6643648266792297, 'latency_p50': 1.6558151245117188, 'latency_p90': 1.849314546585083}, {'batch_size': 3, 'throughput': 1.0703126532290699, 'latency_mean': 2.7956062924861906, 'latency_p50': 2.793095827102661, 'latency_p90': 3.0658502101898195}, {'batch_size': 5, 'throughput': 1.2957865139519833, 'latency_mean': 3.8409761321544647, 'latency_p50': 3.8396328687667847, 'latency_p90': 4.22488763332367}, {'batch_size': 6, 'throughput': 1.3672555869816465, 'latency_mean': 4.359486354589462, 'latency_p50': 4.301685214042664, 'latency_p90': 4.90718412399292}, {'batch_size': 8, 'throughput': 1.4250425827598943, 'latency_mean': 5.578648550510406, 'latency_p50': 5.6034499406814575, 'latency_p90': 6.210964488983154}, {'batch_size': 10, 'throughput': 1.4546838788060015, 'latency_mean': 6.809703415632248, 'latency_p50': 6.845819473266602, 'latency_p90': 7.699452805519104}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full_94469_v106
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.28
us_pacific_date: 2025-07-16
win_ratio: 0.4837473572938689
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': 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 junhua024-chai-1-full-94469-v106-mkmlizer
Waiting for job on junhua024-chai-1-full-94469-v106-mkmlizer to finish
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junhua024-chai-1-full-94469-v106-mkmlizer: ║ ║
junhua024-chai-1-full-94469-v106-mkmlizer: ║ Version: 0.29.15 ║
junhua024-chai-1-full-94469-v106-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
junhua024-chai-1-full-94469-v106-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
junhua024-chai-1-full-94469-v106-mkmlizer: ║ https://mk1.ai ║
junhua024-chai-1-full-94469-v106-mkmlizer: ║ ║
junhua024-chai-1-full-94469-v106-mkmlizer: ║ The license key for the current software has been verified as ║
junhua024-chai-1-full-94469-v106-mkmlizer: ║ belonging to: ║
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junhua024-chai-1-full-94469-v106-mkmlizer: ║ Chai Research Corp. ║
junhua024-chai-1-full-94469-v106-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
junhua024-chai-1-full-94469-v106-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
junhua024-chai-1-full-94469-v106-mkmlizer: ║ ║
junhua024-chai-1-full-94469-v106-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-94469-v106-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-94469-v106-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-94469-v106-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-94469-v106-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-94469-v106-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-94469-v106-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-94469-v106-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-94469-v106-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-94469-v106-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-94469-v106-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-94469-v106-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-94469-v106-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-94469-v106-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-94469-v106-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-94469-v106-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-94469-v106-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-94469-v106-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-94469-v106-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-94469-v106-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-94469-v106-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-94469-v106-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-94469-v106-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-94469-v106-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-94469-v106-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-94469-v106-mkmlizer: Downloaded to shared memory in 72.274s
junhua024-chai-1-full-94469-v106-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-94469-v106-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp8i4nsdhl, device:0
junhua024-chai-1-full-94469-v106-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-94469-v106-mkmlizer: quantized model in 31.114s
junhua024-chai-1-full-94469-v106-mkmlizer: Processed model junhua024/chai-1-full-066126 in 103.459s
junhua024-chai-1-full-94469-v106-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-94469-v106-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-94469-v106-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v106/nvidia
junhua024-chai-1-full-94469-v106-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v106/nvidia/config.json
junhua024-chai-1-full-94469-v106-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v106/nvidia/special_tokens_map.json
junhua024-chai-1-full-94469-v106-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v106/nvidia/tokenizer_config.json
junhua024-chai-1-full-94469-v106-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v106/nvidia/tokenizer.json
junhua024-chai-1-full-94469-v106-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-94469-v106/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-1-full-94469-v106-mkmlizer completed after 129.73s with status: succeeded
Stopping job with name junhua024-chai-1-full-94469-v106-mkmlizer
Pipeline stage MKMLizer completed in 130.65s
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-1-full-94469-v106
Waiting for inference service junhua024-chai-1-full-94469-v106 to be ready
Failed to get response for submission junhua024-chai-1-full_94469_v103: HTTPConnectionPool(host='junhua024-chai-1-full-94469-v103-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-1-full-94469-v106 ready after 262.471079826355s
Pipeline stage MKMLDeployer completed in 263.32s
run pipeline stage %s
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 2.741472005844116s
Received healthy response to inference request in 1.7952828407287598s
Received healthy response to inference request in 1.7481443881988525s
Received healthy response to inference request in 2.024301528930664s
5 requests
1 failed requests
5th percentile: 1.757572078704834
10th percentile: 1.7669997692108155
20th percentile: 1.7858551502227784
30th percentile: 1.8410865783691406
40th percentile: 1.9326940536499024
50th percentile: 2.024301528930664
60th percentile: 2.311169719696045
70th percentile: 2.5980379104614255
80th percentile: 6.221637916564944
90th percentile: 13.181969738006593
95th percentile: 16.662135648727414
99th percentile: 19.446268377304076
mean time: 5.690300464630127
%s, retrying in %s seconds...
Received healthy response to inference request in 1.7460591793060303s
Received healthy response to inference request in 1.7785570621490479s
Received healthy response to inference request in 1.8702733516693115s
Received healthy response to inference request in 1.8532774448394775s
Received healthy response to inference request in 1.5491986274719238s
5 requests
0 failed requests
5th percentile: 1.588570737838745
10th percentile: 1.6279428482055665
20th percentile: 1.706687068939209
30th percentile: 1.7525587558746338
40th percentile: 1.7655579090118407
50th percentile: 1.7785570621490479
60th percentile: 1.8084452152252197
70th percentile: 1.8383333683013916
80th percentile: 1.8566766262054444
90th percentile: 1.8634749889373778
95th percentile: 1.8668741703033447
99th percentile: 1.869593515396118
mean time: 1.7594731330871582
Pipeline stage StressChecker completed in 41.01s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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starting trigger_guanaco_pipeline args=%s
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.68s
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 0.72s
Shutdown handler de-registered
junhua024-chai-1-full_94469_v106 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 3141.14s
Shutdown handler de-registered
junhua024-chai-1-full_94469_v106 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full_94469_v106 status is now torndown due to DeploymentManager action
junhua024-chai-1-full_94469_v106 status is now torndown due to DeploymentManager action