junhua024-chai-1-full-066126

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066126_v19

model_name: junhua024-chai-1-full-066126_v19

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-14T07:42:00+00:00

num_battles: 6133

num_wins: 2972

celo_rating: 1269.02

family_friendly_score: 0.5588

family_friendly_standard_error: 0.007022001993733695

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': 0.6016995551007492, 'latency_mean': 1.6618544745445252, 'latency_p50': 1.665464162826538, 'latency_p90': 1.8406628370285034}, {'batch_size': 3, 'throughput': 1.0934396526302763, 'latency_mean': 2.7314108407497404, 'latency_p50': 2.7247910499572754, 'latency_p90': 2.9905560970306397}, {'batch_size': 5, 'throughput': 1.3097119065598215, 'latency_mean': 3.7971453249454497, 'latency_p50': 3.805063843727112, 'latency_p90': 4.217519283294678}, {'batch_size': 6, 'throughput': 1.3672796728606151, 'latency_mean': 4.363776912689209, 'latency_p50': 4.415623903274536, 'latency_p90': 4.850553846359253}, {'batch_size': 8, 'throughput': 1.4336884067014948, 'latency_mean': 5.53700029373169, 'latency_p50': 5.566437005996704, 'latency_p90': 6.247206687927246}, {'batch_size': 10, 'throughput': 1.467528946428042, 'latency_mean': 6.766193859577179, 'latency_p50': 6.790349721908569, 'latency_p90': 7.734755039215088}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066126_v19

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.3

us_pacific_date: 2025-07-14

win_ratio: 0.4845915538887983

generation_params: {'temperature': 1.0, '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': '{memory} If these ordinary words hide nuanced feelings and emotions, bring them to light.', '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-v19-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v19-mkmlizer to finish
junhua024-chai-1-full-066126-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-gy-exp165-dpo-gy_84902_v1: HTTPConnectionPool(host='chaiml-gy-exp165-dpo-gy-84902-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-1-full-066126-v19-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-v19-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-v19-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-v19-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-v19-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-v19-mkmlizer: Downloaded to shared memory in 77.950s
junhua024-chai-1-full-066126-v19-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v19-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpskgcd_yf, device:0
junhua024-chai-1-full-066126-v19-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v19-mkmlizer: quantized model in 31.088s
junhua024-chai-1-full-066126-v19-mkmlizer: Processed model junhua024/chai-1-full-066126 in 109.123s
junhua024-chai-1-full-066126-v19-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v19-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v19-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v19/nvidia
junhua024-chai-1-full-066126-v19-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v19/nvidia/config.json
junhua024-chai-1-full-066126-v19-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v19/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v19-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v19/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v19-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v19/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v19-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v19/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v19-mkmlizer: 
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Job junhua024-chai-1-full-066126-v19-mkmlizer completed after 136.67s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v19-mkmlizer
Pipeline stage MKMLizer completed in 137.42s
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-v19
Waiting for inference service junhua024-chai-1-full-066126-v19 to be ready
Inference service junhua024-chai-1-full-066126-v19 ready after 230.90023922920227s
Pipeline stage MKMLDeployer completed in 231.44s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.610213041305542s
Received healthy response to inference request in 1.7824506759643555s
Received healthy response to inference request in 1.687758207321167s
Received healthy response to inference request in 1.6746211051940918s
Received healthy response to inference request in 1.6436100006103516s
5 requests
0 failed requests
5th percentile: 1.6498122215270996
10th percentile: 1.6560144424438477
20th percentile: 1.6684188842773438
30th percentile: 1.6772485256195069
40th percentile: 1.6825033664703368
50th percentile: 1.687758207321167
60th percentile: 1.7256351947784423
70th percentile: 1.7635121822357178
80th percentile: 1.9480031490325929
90th percentile: 2.2791080951690676
95th percentile: 2.4446605682373046
99th percentile: 2.5771025466918944
mean time: 1.8797306060791015
Pipeline stage StressChecker completed in 11.04s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.79s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.69s
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junhua024-chai-1-full-066126_v19 status is now deployed due to DeploymentManager action
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3268.94s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v19 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v19 status is now torndown due to DeploymentManager action