junhua024-chai-1-full-066126

developer_uid: junhua024
submission_id: junhua024-chai-1-full-066126_v26
model_name: junhua024-chai-1-full-066126_v26
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-14T11:12:09+00:00
num_battles: 8277
num_wins: 3939
celo_rating: 1273.13
family_friendly_score: 0.5506
family_friendly_standard_error: 0.007034765667739047
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': 0.5969221765272641, 'latency_mean': 1.6751050531864167, 'latency_p50': 1.6857789754867554, 'latency_p90': 1.8517700910568238}, {'batch_size': 3, 'throughput': 1.0778972049918012, 'latency_mean': 2.7720817017555235, 'latency_p50': 2.7891005277633667, 'latency_p90': 3.047428774833679}, {'batch_size': 5, 'throughput': 1.3024841404237981, 'latency_mean': 3.82019037604332, 'latency_p50': 3.8343886137008667, 'latency_p90': 4.267812824249267}, {'batch_size': 6, 'throughput': 1.3682543849680466, 'latency_mean': 4.364564751386642, 'latency_p50': 4.365648031234741, 'latency_p90': 4.850374937057495}, {'batch_size': 8, 'throughput': 1.4266019878465312, 'latency_mean': 5.571677249670029, 'latency_p50': 5.553688287734985, 'latency_p90': 6.227513408660888}, {'batch_size': 10, 'throughput': 1.4452802625006596, 'latency_mean': 6.855722192525864, 'latency_p50': 6.84784460067749, 'latency_p90': 7.697628855705261}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066126_v26
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.29
us_pacific_date: 2025-07-14
win_ratio: 0.4758970641536789
generation_params: {'temperature': 1.02, 'top_p': 1.0, '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-v26-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v26-mkmlizer to finish
junhua024-chai-1-full-066126-v26-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-066126-v26-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v26-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v26-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v26-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v26-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v26-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v26-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v26-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v26-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v26-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v26-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v26-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v26-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v26-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v26-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v26-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v26-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-v26-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-v26-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-v26-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-v26-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-v26-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-v26-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-v26-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-v26-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-v26-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-v26-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-v26-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-v26-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-v26-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-v26-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-v26-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-v26-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-v26-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-v26-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-v26-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-v26-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-v26-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-v26-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-v26-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-v26-mkmlizer: Downloaded to shared memory in 78.895s
junhua024-chai-1-full-066126-v26-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v26-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpp1hvs2ue, device:0
junhua024-chai-1-full-066126-v26-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v26-mkmlizer: quantized model in 38.851s
junhua024-chai-1-full-066126-v26-mkmlizer: Processed model junhua024/chai-1-full-066126 in 117.819s
junhua024-chai-1-full-066126-v26-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v26-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v26/nvidia
junhua024-chai-1-full-066126-v26-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v26/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v26-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v26/nvidia/config.json
junhua024-chai-1-full-066126-v26-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v26/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v26-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v26/nvidia/tokenizer.json
Retrying (%r) after connection broken by '%r': %s
junhua024-chai-1-full-066126-v26-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v26/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-1-full-066126-v26-mkmlizer completed after 148.65s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v26-mkmlizer
Pipeline stage MKMLizer completed in 149.19s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v26
Waiting for inference service junhua024-chai-1-full-066126-v26 to be ready
Failed to get response for submission chaiml-gy-exp163-lipo-g_80874_v2: ('http://chaiml-20250611-retune-u-1558-v3-predictor.tenant-chaiml-guanaco.k2.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:39334->127.0.0.1:8080: read: connection reset by peer\n')
Inference service junhua024-chai-1-full-066126-v26 ready after 231.1496181488037s
Pipeline stage MKMLDeployer completed in 231.98s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.257158041000366s
Received healthy response to inference request in 1.7733421325683594s
Received healthy response to inference request in 1.8891088962554932s
Received healthy response to inference request in 1.5708000659942627s
Received healthy response to inference request in 2.1597211360931396s
5 requests
0 failed requests
5th percentile: 1.611308479309082
10th percentile: 1.6518168926239014
20th percentile: 1.7328337192535401
30th percentile: 1.7964954853057862
40th percentile: 1.8428021907806396
50th percentile: 1.8891088962554932
60th percentile: 1.9973537921905518
70th percentile: 2.1055986881256104
80th percentile: 2.179208517074585
90th percentile: 2.2181832790374756
95th percentile: 2.237670660018921
99th percentile: 2.2532605648040773
mean time: 1.9300260543823242
Pipeline stage StressChecker completed in 11.32s
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 0.76s
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 0.76s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v26 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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 6433.33s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v26 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v26 status is now torndown due to DeploymentManager action