junhua024-chai-02-full-_22123

developer_uid: junhua024
submission_id: junhua024-chai-02-full-_22123_v1
model_name: junhua024-chai-02-full-_22123_v1
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-24T13:14:31+00:00
num_battles: 6294
num_wins: 3152
celo_rating: 1282.72
family_friendly_score: 0.40900000000000003
family_friendly_standard_error: 0.006952970588173087
submission_type: basic
model_repo: junhua024/chai_02_full_02_0194
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': 0.6578776030168401, 'latency_mean': 1.519897654056549, 'latency_p50': 1.5160478353500366, 'latency_p90': 1.6820415258407593}, {'batch_size': 3, 'throughput': 1.1383848360672846, 'latency_mean': 2.632256805896759, 'latency_p50': 2.637770414352417, 'latency_p90': 2.889566707611084}, {'batch_size': 5, 'throughput': 1.3134913888419053, 'latency_mean': 3.787479484081268, 'latency_p50': 3.7685396671295166, 'latency_p90': 4.2257482528686525}, {'batch_size': 6, 'throughput': 1.369122028690706, 'latency_mean': 4.356735166311264, 'latency_p50': 4.3842164278030396, 'latency_p90': 4.878003430366516}, {'batch_size': 8, 'throughput': 1.4321736759982204, 'latency_mean': 5.547256635427475, 'latency_p50': 5.596938371658325, 'latency_p90': 6.209514832496643}, {'batch_size': 10, 'throughput': 1.480764155693156, 'latency_mean': 6.705174454450607, 'latency_p50': 6.709391951560974, 'latency_p90': 7.623845028877258}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full-_22123_v1
is_internal_developer: False
language_model: junhua024/chai_02_full_02_0194
model_size: 13B
ranking_group: single
throughput_3p7s: 1.31
us_pacific_date: 2025-07-24
win_ratio: 0.5007944073721005
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': 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-02-full-22123-v1-mkmlizer
Waiting for job on junhua024-chai-02-full-22123-v1-mkmlizer to finish
junhua024-chai-02-full-22123-v1-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-02-full-22123-v1-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-02-full-22123-v1-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-02-full-22123-v1-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-02-full-22123-v1-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-02-full-22123-v1-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-02-full-22123-v1-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-02-full-22123-v1-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-02-full-22123-v1-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-02-full-22123-v1-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-02-full-22123-v1-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-02-full-22123-v1-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-02-full-22123-v1-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-02-full-22123-v1-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-02-full-22123-v1-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-02-full-22123-v1-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-02-full-22123-v1-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-02-full-22123-v1-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-02-full-22123-v1-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-02-full-22123-v1-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-02-full-22123-v1-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-02-full-22123-v1-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-02-full-22123-v1-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-02-full-22123-v1-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-02-full-22123-v1-mkmlizer: Downloaded to shared memory in 131.384s
junhua024-chai-02-full-22123-v1-mkmlizer: Checking if junhua024/chai_02_full_02_0194 already exists in ChaiML
junhua024-chai-02-full-22123-v1-mkmlizer: Creating repo ChaiML/chai_02_full_02_0194 and uploading /tmp/tmptw2mwo06 to it
junhua024-chai-02-full-22123-v1-mkmlizer: 
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junhua024-chai-02-full-22123-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmptw2mwo06, device:0
junhua024-chai-02-full-22123-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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-02-full-22123-v1-mkmlizer: quantized model in 167.066s
junhua024-chai-02-full-22123-v1-mkmlizer: Processed model junhua024/chai_02_full_02_0194 in 381.437s
junhua024-chai-02-full-22123-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-22123-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-22123-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-22123-v1/nvidia
junhua024-chai-02-full-22123-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-22123-v1/nvidia/config.json
junhua024-chai-02-full-22123-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-22123-v1/nvidia/special_tokens_map.json
junhua024-chai-02-full-22123-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-22123-v1/nvidia/tokenizer_config.json
junhua024-chai-02-full-22123-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-22123-v1/nvidia/tokenizer.json
junhua024-chai-02-full-22123-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-22123-v1/nvidia/flywheel_model.0.safetensors
junhua024-chai-02-full-22123-v1-mkmlizer: 
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Job junhua024-chai-02-full-22123-v1-mkmlizer completed after 407.85s with status: succeeded
Stopping job with name junhua024-chai-02-full-22123-v1-mkmlizer
Pipeline stage MKMLizer completed in 408.46s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-02-full-22123-v1
Waiting for inference service junhua024-chai-02-full-22123-v1 to be ready
Inference service junhua024-chai-02-full-22123-v1 ready after 180.69663166999817s
Pipeline stage MKMLDeployer completed in 181.17s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4985368251800537s
Received healthy response to inference request in 2.447979688644409s
Received healthy response to inference request in 1.506606101989746s
Received healthy response to inference request in 1.914144515991211s
Received healthy response to inference request in 2.724302053451538s
5 requests
0 failed requests
5th percentile: 1.588113784790039
10th percentile: 1.669621467590332
20th percentile: 1.832636833190918
30th percentile: 2.0209115505218507
40th percentile: 2.2344456195831297
50th percentile: 2.447979688644409
60th percentile: 2.468202543258667
70th percentile: 2.4884253978729247
80th percentile: 2.5436898708343505
90th percentile: 2.6339959621429445
95th percentile: 2.6791490077972413
99th percentile: 2.715271444320679
mean time: 2.2183138370513915
Pipeline stage StressChecker completed in 12.72s
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 0.66s
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 0.88s
Shutdown handler de-registered
junhua024-chai-02-full-_22123_v1 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 3258.09s
Shutdown handler de-registered
junhua024-chai-02-full-_22123_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full-_22123_v1 status is now torndown due to DeploymentManager action