developer_uid: RandomForest1024
submission_id: albertwang8192-2025-07-08-12_v2
model_name: 2025-07-08_12
model_group: AlbertWang8192/2025-07-0
status: torndown
timestamp: 2025-07-09T04:14:27+00:00
num_battles: 7418
num_wins: 3390
celo_rating: 1254.09
family_friendly_score: 0.5529999999999999
family_friendly_standard_error: 0.0070312303333058285
submission_type: basic
model_repo: AlbertWang8192/2025-07-08_12
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': 0.5914181773538071, 'latency_mean': 1.690691840648651, 'latency_p50': 1.6932517290115356, 'latency_p90': 1.8506374835968018}, {'batch_size': 3, 'throughput': 1.0613856283165826, 'latency_mean': 2.8136361229419706, 'latency_p50': 2.8068593740463257, 'latency_p90': 3.074987363815308}, {'batch_size': 5, 'throughput': 1.2715824967932197, 'latency_mean': 3.90078161239624, 'latency_p50': 3.895986795425415, 'latency_p90': 4.383299493789673}, {'batch_size': 6, 'throughput': 1.3341144472722963, 'latency_mean': 4.472208346128464, 'latency_p50': 4.491531014442444, 'latency_p90': 5.0734961986541744}, {'batch_size': 8, 'throughput': 1.3928265644936946, 'latency_mean': 5.705663521289825, 'latency_p50': 5.702890634536743, 'latency_p90': 6.466738176345825}, {'batch_size': 10, 'throughput': 1.4228236796923852, 'latency_mean': 6.988496226072312, 'latency_p50': 6.960807204246521, 'latency_p90': 7.7687560558319095}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: 2025-07-08_12
is_internal_developer: False
language_model: AlbertWang8192/2025-07-08_12
model_size: 13B
ranking_group: single
throughput_3p7s: 1.25
us_pacific_date: 2025-07-08
win_ratio: 0.45699649501213263
generation_params: {'temperature': 0.6, 'top_p': 0.95, 'min_p': 0.025, 'top_k': 60, 'presence_penalty': 0.4, 'frequency_penalty': 0.4, '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 albertwang8192-2025-07-08-12-v2-mkmlizer
Waiting for job on albertwang8192-2025-07-08-12-v2-mkmlizer to finish
albertwang8192-2025-07-08-12-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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albertwang8192-2025-07-08-12-v2-mkmlizer: ║ ║
albertwang8192-2025-07-08-12-v2-mkmlizer: ║ Version: 0.29.15 ║
albertwang8192-2025-07-08-12-v2-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
albertwang8192-2025-07-08-12-v2-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
albertwang8192-2025-07-08-12-v2-mkmlizer: ║ https://mk1.ai ║
albertwang8192-2025-07-08-12-v2-mkmlizer: ║ ║
albertwang8192-2025-07-08-12-v2-mkmlizer: ║ The license key for the current software has been verified as ║
albertwang8192-2025-07-08-12-v2-mkmlizer: ║ belonging to: ║
albertwang8192-2025-07-08-12-v2-mkmlizer: ║ ║
albertwang8192-2025-07-08-12-v2-mkmlizer: ║ Chai Research Corp. ║
albertwang8192-2025-07-08-12-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
albertwang8192-2025-07-08-12-v2-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
albertwang8192-2025-07-08-12-v2-mkmlizer: ║ ║
albertwang8192-2025-07-08-12-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
albertwang8192-2025-07-08-12-v2-mkmlizer: Downloaded to shared memory in 43.725s
albertwang8192-2025-07-08-12-v2-mkmlizer: Checking if AlbertWang8192/2025-07-08_12 already exists in ChaiML
albertwang8192-2025-07-08-12-v2-mkmlizer: Creating repo ChaiML/2025-07-08_12 and uploading /tmp/tmpo804qebu to it
albertwang8192-2025-07-08-12-v2-mkmlizer: Traceback (most recent call last):
albertwang8192-2025-07-08-12-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_http.py", line 409, in hf_raise_for_status
albertwang8192-2025-07-08-12-v2-mkmlizer: response.raise_for_status()
albertwang8192-2025-07-08-12-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/requests/models.py", line 1026, in raise_for_status
albertwang8192-2025-07-08-12-v2-mkmlizer: raise HTTPError(http_error_msg, response=self)
albertwang8192-2025-07-08-12-v2-mkmlizer: requests.exceptions.HTTPError: 409 Client Error: Conflict for url: https://huggingface.co/api/repos/create
albertwang8192-2025-07-08-12-v2-mkmlizer: The above exception was the direct cause of the following exception:
albertwang8192-2025-07-08-12-v2-mkmlizer: Traceback (most recent call last):
albertwang8192-2025-07-08-12-v2-mkmlizer: File "/code/uploading/mkmlize.py", line 225, in <module>
albertwang8192-2025-07-08-12-v2-mkmlizer: cli()
albertwang8192-2025-07-08-12-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1157, in __call__
albertwang8192-2025-07-08-12-v2-mkmlizer: return self.main(*args, **kwargs)
albertwang8192-2025-07-08-12-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1078, in main
albertwang8192-2025-07-08-12-v2-mkmlizer: rv = self.invoke(ctx)
albertwang8192-2025-07-08-12-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1688, in invoke
albertwang8192-2025-07-08-12-v2-mkmlizer: return _process_result(sub_ctx.command.invoke(sub_ctx))
albertwang8192-2025-07-08-12-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1434, in invoke
albertwang8192-2025-07-08-12-v2-mkmlizer: return ctx.invoke(self.callback, **ctx.params)
albertwang8192-2025-07-08-12-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 783, in invoke
albertwang8192-2025-07-08-12-v2-mkmlizer: return __callback(*args, **kwargs)
albertwang8192-2025-07-08-12-v2-mkmlizer: File "/code/uploading/mkmlize.py", line 46, in quantize
albertwang8192-2025-07-08-12-v2-mkmlizer: create_repo_and_upload_to_chaiml(repo_id, temp_folder)
albertwang8192-2025-07-08-12-v2-mkmlizer: File "/code/uploading/mkmlize.py", line 201, in create_repo_and_upload_to_chaiml
albertwang8192-2025-07-08-12-v2-mkmlizer: api.create_repo(chai_repo_id, private=True, repo_type="model")
albertwang8192-2025-07-08-12-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
albertwang8192-2025-07-08-12-v2-mkmlizer: return fn(*args, **kwargs)
albertwang8192-2025-07-08-12-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/hf_api.py", line 3709, in create_repo
albertwang8192-2025-07-08-12-v2-mkmlizer: hf_raise_for_status(r)
albertwang8192-2025-07-08-12-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_http.py", line 482, in hf_raise_for_status
albertwang8192-2025-07-08-12-v2-mkmlizer: raise _format(HfHubHTTPError, str(e), response) from e
albertwang8192-2025-07-08-12-v2-mkmlizer: huggingface_hub.errors.HfHubHTTPError: 409 Client Error: Conflict for url: https://huggingface.co/api/repos/create (Request ID: Root=1-686decd7-05253b4307ad60632a29719e;32947d4f-a02b-41e8-a15d-a2b5e39518ee)
albertwang8192-2025-07-08-12-v2-mkmlizer: A repository with this name already exists
Job albertwang8192-2025-07-08-12-v2-mkmlizer completed after 66.69s with status: failed
Stopping job with name albertwang8192-2025-07-08-12-v2-mkmlizer
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Starting job with name albertwang8192-2025-07-08-12-v2-mkmlizer
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albertwang8192-2025-07-08-12-v2-mkmlizer: ║ ║
albertwang8192-2025-07-08-12-v2-mkmlizer: ║ Version: 0.29.15 ║
albertwang8192-2025-07-08-12-v2-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
albertwang8192-2025-07-08-12-v2-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
albertwang8192-2025-07-08-12-v2-mkmlizer: ║ https://mk1.ai ║
albertwang8192-2025-07-08-12-v2-mkmlizer: ║ ║
albertwang8192-2025-07-08-12-v2-mkmlizer: ║ The license key for the current software has been verified as ║
albertwang8192-2025-07-08-12-v2-mkmlizer: ║ belonging to: ║
albertwang8192-2025-07-08-12-v2-mkmlizer: ║ ║
albertwang8192-2025-07-08-12-v2-mkmlizer: ║ Chai Research Corp. ║
albertwang8192-2025-07-08-12-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
albertwang8192-2025-07-08-12-v2-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
albertwang8192-2025-07-08-12-v2-mkmlizer: ║ ║
albertwang8192-2025-07-08-12-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
albertwang8192-2025-07-08-12-v2-mkmlizer: Downloaded to shared memory in 28.126s
albertwang8192-2025-07-08-12-v2-mkmlizer: Checking if AlbertWang8192/2025-07-08_12 already exists in ChaiML
albertwang8192-2025-07-08-12-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp3_4nxxf5, device:0
albertwang8192-2025-07-08-12-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
albertwang8192-2025-07-08-12-v2-mkmlizer: quantized model in 31.057s
albertwang8192-2025-07-08-12-v2-mkmlizer: Processed model AlbertWang8192/2025-07-08_12 in 59.256s
albertwang8192-2025-07-08-12-v2-mkmlizer: creating bucket guanaco-mkml-models
albertwang8192-2025-07-08-12-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
albertwang8192-2025-07-08-12-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/albertwang8192-2025-07-08-12-v2/nvidia
albertwang8192-2025-07-08-12-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-12-v2/nvidia/config.json
albertwang8192-2025-07-08-12-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-12-v2/nvidia/special_tokens_map.json
albertwang8192-2025-07-08-12-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-12-v2/nvidia/tokenizer_config.json
albertwang8192-2025-07-08-12-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-12-v2/nvidia/tokenizer.json
albertwang8192-2025-07-08-12-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/albertwang8192-2025-07-08-12-v2/nvidia/flywheel_model.0.safetensors
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Job albertwang8192-2025-07-08-12-v2-mkmlizer completed after 85.23s with status: succeeded
Stopping job with name albertwang8192-2025-07-08-12-v2-mkmlizer
Pipeline stage MKMLizer completed in 153.52s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service albertwang8192-2025-07-08-12-v2
Waiting for inference service albertwang8192-2025-07-08-12-v2 to be ready
Inference service albertwang8192-2025-07-08-12-v2 ready after 201.26401138305664s
Pipeline stage MKMLDeployer completed in 202.19s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3868017196655273s
Received healthy response to inference request in 1.4849579334259033s
Received healthy response to inference request in 1.9920368194580078s
Received healthy response to inference request in 1.4512898921966553s
Received healthy response to inference request in 1.2820773124694824s
5 requests
0 failed requests
5th percentile: 1.315919828414917
10th percentile: 1.3497623443603515
20th percentile: 1.4174473762512207
30th percentile: 1.4580235004425048
40th percentile: 1.4714907169342042
50th percentile: 1.4849579334259033
60th percentile: 1.6877894878387452
70th percentile: 1.8906210422515868
80th percentile: 2.070989799499512
90th percentile: 2.2288957595825196
95th percentile: 2.3078487396240233
99th percentile: 2.3710111236572264
mean time: 1.7194327354431151
Pipeline stage StressChecker completed in 10.22s
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 0.74s
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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 0.96s
Shutdown handler de-registered
albertwang8192-2025-07-08-12_v2 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.14s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.13s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service albertwang8192-2025-07-08-12-v2-profiler
Waiting for inference service albertwang8192-2025-07-08-12-v2-profiler to be ready
Shutdown handler registered
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2928.29s
Shutdown handler de-registered
albertwang8192-2025-07-08-12_v2 status is now inactive due to auto deactivation removed underperforming models
albertwang8192-2025-07-08-12_v2 status is now torndown due to DeploymentManager action