junhua024-chai-19b-full-0022

developer_uid: junhua024
submission_id: junhua024-chai-19b-full-0022_v2
model_name: junhua024-chai-19b-full-0022_v2
model_group: junhua024/chai_19b-full_
status: torndown
timestamp: 2025-07-24T15:43:14+00:00
num_battles: 7331
num_wins: 2759
celo_rating: 1190.06
family_friendly_score: 0.5704
family_friendly_standard_error: 0.007000626257700092
submission_type: basic
model_repo: junhua024/chai_19b-full_0022
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.533050564700944, 'latency_mean': 1.875867280960083, 'latency_p50': 1.861846685409546, 'latency_p90': 2.0360363245010373}, {'batch_size': 2, 'throughput': 0.701331813848846, 'latency_mean': 2.842155478000641, 'latency_p50': 2.862626075744629, 'latency_p90': 3.0942196607589723}, {'batch_size': 3, 'throughput': 0.7919563362183212, 'latency_mean': 3.7815079355239867, 'latency_p50': 3.782076597213745, 'latency_p90': 4.121215724945068}, {'batch_size': 4, 'throughput': 0.8475376540390462, 'latency_mean': 4.702569162845611, 'latency_p50': 4.6873438358306885, 'latency_p90': 5.141248989105224}, {'batch_size': 5, 'throughput': 0.8738826904895352, 'latency_mean': 5.698583964109421, 'latency_p50': 5.72236704826355, 'latency_p90': 6.2807705163955685}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-19b-full-0022_v2
is_internal_developer: False
language_model: junhua024/chai_19b-full_0022
model_size: 13B
ranking_group: single
throughput_3p7s: 0.79
us_pacific_date: 2025-07-24
win_ratio: 0.3763470195062065
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 2048, '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-19b-full-0022-v2-mkmlizer
Waiting for job on junhua024-chai-19b-full-0022-v2-mkmlizer to finish
junhua024-chai-19b-full-0022-v2-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-19b-full-0022-v2-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-19b-full-0022-v2-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-19b-full-0022-v2-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-19b-full-0022-v2-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-19b-full-0022-v2-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-19b-full-0022-v2-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-19b-full-0022-v2-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-19b-full-0022-v2-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-19b-full-0022-v2-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-19b-full-0022-v2-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-19b-full-0022-v2-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-19b-full-0022-v2-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-19b-full-0022-v2-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-19b-full-0022-v2-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-19b-full-0022-v2-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-19b-full-0022-v2-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-next-door-annoyi_15417_v1: ('http://chaiml-next-door-annoyi-15417-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
junhua024-chai-19b-full-0022-v2-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-19b-full-0022-v2-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-19b-full-0022-v2-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-19b-full-0022-v2-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-19b-full-0022-v2-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-19b-full-0022-v2-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-19b-full-0022-v2-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-19b-full-0022-v2-mkmlizer: Downloaded to shared memory in 189.802s
junhua024-chai-19b-full-0022-v2-mkmlizer: Checking if junhua024/chai_19b-full_0022 already exists in ChaiML
junhua024-chai-19b-full-0022-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpa4g8oj1_, device:0
junhua024-chai-19b-full-0022-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-19b-full-0022-v2-mkmlizer: quantized model in 162.768s
junhua024-chai-19b-full-0022-v2-mkmlizer: Processed model junhua024/chai_19b-full_0022 in 352.659s
junhua024-chai-19b-full-0022-v2-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-19b-full-0022-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-19b-full-0022-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-19b-full-0022-v2/nvidia
junhua024-chai-19b-full-0022-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-19b-full-0022-v2/nvidia/config.json
junhua024-chai-19b-full-0022-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-19b-full-0022-v2/nvidia/special_tokens_map.json
junhua024-chai-19b-full-0022-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-19b-full-0022-v2/nvidia/tokenizer_config.json
junhua024-chai-19b-full-0022-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-19b-full-0022-v2/nvidia/flywheel_model.0.safetensors
junhua024-chai-19b-full-0022-v2-mkmlizer: 
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Job junhua024-chai-19b-full-0022-v2-mkmlizer completed after 408.81s with status: succeeded
Stopping job with name junhua024-chai-19b-full-0022-v2-mkmlizer
Pipeline stage MKMLizer completed in 409.90s
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-19b-full-0022-v2
Waiting for inference service junhua024-chai-19b-full-0022-v2 to be ready
Failed to get response for submission chaiml-next-door-annoyi_15417_v1: ('http://chaiml-next-door-annoyi-15417-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Failed to get response for submission chaiml-next-door-annoyi_15417_v1: ('http://chaiml-next-door-annoyi-15417-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Inference service junhua024-chai-19b-full-0022-v2 ready after 181.07114434242249s
Pipeline stage MKMLDeployer completed in 181.73s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.012723445892334s
Received healthy response to inference request in 2.2280404567718506s
Received healthy response to inference request in 1.3079283237457275s
Received healthy response to inference request in 2.070519208908081s
Received healthy response to inference request in 1.388296365737915s
5 requests
0 failed requests
5th percentile: 1.324001932144165
10th percentile: 1.3400755405426026
20th percentile: 1.3722227573394776
30th percentile: 1.5247409343719482
40th percentile: 1.7976300716400146
50th percentile: 2.070519208908081
60th percentile: 2.133527708053589
70th percentile: 2.1965362071990966
80th percentile: 2.3849770545959474
90th percentile: 2.6988502502441407
95th percentile: 2.855786848068237
99th percentile: 2.9813361263275144
mean time: 2.0015015602111816
Pipeline stage StressChecker completed in 12.13s
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 1.58s
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 0.74s
Shutdown handler de-registered
junhua024-chai-19b-full-0022_v2 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-19b-full-0022-v2-profiler
Waiting for inference service junhua024-chai-19b-full-0022-v2-profiler to be ready
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 5783.29s
Shutdown handler de-registered
junhua024-chai-19b-full-0022_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-19b-full-0022_v2 status is now torndown due to DeploymentManager action