junhua024-chai-1-full-066126

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066126_v64

model_name: junhua024-chai-1-full-066126_v64

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-15T11:43:04+00:00

num_battles: 6348

num_wins: 3142

celo_rating: 1280.96

family_friendly_score: 0.5554

family_friendly_standard_error: 0.007027529295563271

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': 0.6010260616920802, 'latency_mean': 1.6636905038356782, 'latency_p50': 1.6576703786849976, 'latency_p90': 1.840030837059021}, {'batch_size': 3, 'throughput': 1.0801876371930734, 'latency_mean': 2.7694464600086213, 'latency_p50': 2.776976704597473, 'latency_p90': 3.0419057846069335}, {'batch_size': 5, 'throughput': 1.312967486455522, 'latency_mean': 3.800475993156433, 'latency_p50': 3.798479914665222, 'latency_p90': 4.285988426208496}, {'batch_size': 6, 'throughput': 1.3798602523295265, 'latency_mean': 4.320808923244476, 'latency_p50': 4.272196531295776, 'latency_p90': 4.899828577041626}, {'batch_size': 8, 'throughput': 1.433090466364087, 'latency_mean': 5.543914589881897, 'latency_p50': 5.570110440254211, 'latency_p90': 6.204728460311889}, {'batch_size': 10, 'throughput': 1.4705899600153167, 'latency_mean': 6.745003179311753, 'latency_p50': 6.774766802787781, 'latency_p90': 7.714541959762573}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066126_v64

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.3

us_pacific_date: 2025-07-15

win_ratio: 0.49495904221802145

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': '{memory} What nuanced feelings and emotions lie behind those earlier words?', '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-v64-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v64-mkmlizer to finish
junhua024-chai-1-full-066126-v64-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-066126-v64-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v64-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v64-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v64-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v64-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v64-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v64-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v64-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v64-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v64-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v64-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v64-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v64-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v64-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v64-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v64-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v64-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-v64-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-v64-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-v64-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-v64-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-v64-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-v64-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-v64-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-v64-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-v64-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-v64-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-v64-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-v64-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-v64-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-v64-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-v64-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-v64-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-v64-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-v64-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-v64-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-v64-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-v64-mkmlizer: Downloaded to shared memory in 69.952s
junhua024-chai-1-full-066126-v64-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v64-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpyhk9khww, device:0
junhua024-chai-1-full-066126-v64-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v64-mkmlizer: quantized model in 32.773s
junhua024-chai-1-full-066126-v64-mkmlizer: Processed model junhua024/chai-1-full-066126 in 102.802s
junhua024-chai-1-full-066126-v64-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v64-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v64-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v64/nvidia
junhua024-chai-1-full-066126-v64-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v64/nvidia/config.json
junhua024-chai-1-full-066126-v64-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v64/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v64-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v64/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v64-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v64/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v64-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v64/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-1-full-066126-v64-mkmlizer completed after 128.81s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v64-mkmlizer
Pipeline stage MKMLizer completed in 129.67s
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-066126-v64
Waiting for inference service junhua024-chai-1-full-066126-v64 to be ready
Failed to get response for submission chaiml-gy-exp169-sft-gy_89445_v1: HTTPConnectionPool(host='chaiml-gy-exp169-sft-gy-89445-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-gy-exp169-sft-gy_89445_v1: HTTPConnectionPool(host='chaiml-gy-exp169-sft-gy-89445-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-1-full-066126-v64 ready after 241.50993633270264s
Pipeline stage MKMLDeployer completed in 242.34s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4279162883758545s
Received healthy response to inference request in 2.768209934234619s
Received healthy response to inference request in 1.815201759338379s
Received healthy response to inference request in 2.0400946140289307s
Received healthy response to inference request in 1.7661540508270264s
5 requests
0 failed requests
5th percentile: 1.775963592529297
10th percentile: 1.7857731342315675
20th percentile: 1.8053922176361084
30th percentile: 1.8601803302764892
40th percentile: 1.95013747215271
50th percentile: 2.0400946140289307
60th percentile: 2.1952232837677004
70th percentile: 2.3503519535064696
80th percentile: 2.4959750175476074
90th percentile: 2.6320924758911133
95th percentile: 2.700151205062866
99th percentile: 2.7545981884002684
mean time: 2.163515329360962
Pipeline stage StressChecker completed in 12.32s
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 0.75s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
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starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 0.86s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v64 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 5656.39s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v64 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v64 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v64 status is now torndown due to DeploymentManager action