chaiml-gy-exp87-sftlora_84833

developer_uid: bogoconic1
submission_id: chaiml-gy-exp87-sftlora_84833_v1
model_name: chaiml-gy-exp87-sftlora_84833_v1
model_group: ChaiML/gy-exp87-sftlora-
status: torndown
timestamp: 2025-07-05T18:25:32+00:00
num_battles: 8663
num_wins: 4527
celo_rating: 1302.7
family_friendly_score: 0.5262
family_friendly_standard_error: 0.007061353411351113
submission_type: basic
model_repo: ChaiML/gy-exp87-sftlora-gy-datamix-v1-bo8-ep12
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5150203709775634, 'latency_mean': 1.9415290820598603, 'latency_p50': 1.943414568901062, 'latency_p90': 2.168912243843079}, {'batch_size': 3, 'throughput': 1.050821449127094, 'latency_mean': 2.8397096228599548, 'latency_p50': 2.818601965904236, 'latency_p90': 3.1751338481903075}, {'batch_size': 5, 'throughput': 1.325482899231988, 'latency_mean': 3.7494397449493406, 'latency_p50': 3.7557413578033447, 'latency_p90': 4.209638214111328}, {'batch_size': 6, 'throughput': 1.4395931429398308, 'latency_mean': 4.140596214532852, 'latency_p50': 4.167910814285278, 'latency_p90': 4.594894075393677}, {'batch_size': 8, 'throughput': 1.5698525391191558, 'latency_mean': 5.070950521230698, 'latency_p50': 5.085516571998596, 'latency_p90': 5.685049152374267}, {'batch_size': 10, 'throughput': 1.645364206460769, 'latency_mean': 6.019358141422272, 'latency_p50': 6.0111387968063354, 'latency_p90': 6.716935634613037}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-gy-exp87-sftlora_84833_v1
is_internal_developer: False
language_model: ChaiML/gy-exp87-sftlora-gy-datamix-v1-bo8-ep12
model_size: 24B
ranking_group: single
throughput_3p7s: 1.32
us_pacific_date: 2025-07-05
win_ratio: 0.522567239986148
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', '<|im_end|>', '<|im_start|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '<|system|>Family Friendly{memory}\n', 'prompt_template': '', 'bot_template': '<|im_start|>assistant\n{message}<|im_end|>\n', 'user_template': '<|im_start|>user\nYou:{message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n', 'truncate_by_message': True}
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 chaiml-gy-exp87-sftlora-84833-v1-mkmlizer
Waiting for job on chaiml-gy-exp87-sftlora-84833-v1-mkmlizer to finish
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: ║                                                                     ║
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chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: Traceback (most recent call last):
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 423, in http_get
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:     hf_transfer.download(
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: Exception: Failed too many failures in parallel (3): PyErr { type: <class 'Exception'>, value: Exception('Error while downloading: reqwest::Error { kind: Body, source: hyper::Error(Body, Os { code: 104, kind: ConnectionReset, message: "Connection reset by peer" }) }'), traceback: None } (NoPermits)
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: The above exception was the direct cause of the following exception:
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: Traceback (most recent call last):
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:   File "/code/uploading/mkmlize.py", line 225, in <module>
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:     cli()
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1157, in __call__
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:     return self.main(*args, **kwargs)
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1078, in main
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:     rv = self.invoke(ctx)
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1688, in invoke
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:     return _process_result(sub_ctx.command.invoke(sub_ctx))
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1434, in invoke
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:     return ctx.invoke(self.callback, **ctx.params)
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 783, in invoke
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:     return __callback(*args, **kwargs)
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:   File "/code/uploading/mkmlize.py", line 41, in quantize
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:     temp_folder = download_to_shared_memory(repo_id, revision, hf_auth_token)
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:   File "/code/uploading/mkmlize.py", line 91, in download_to_shared_memory
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:     snapshot_download(
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:     return fn(*args, **kwargs)
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 294, in snapshot_download
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:     _inner_hf_hub_download(file)
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 270, in _inner_hf_hub_download
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:     return hf_hub_download(
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:     return fn(*args, **kwargs)
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 941, in hf_hub_download
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:     return _hf_hub_download_to_local_dir(
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1241, in _hf_hub_download_to_local_dir
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:     _download_to_tmp_and_move(
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1675, in _download_to_tmp_and_move
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:     http_get(
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 434, in http_get
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer:     raise RuntimeError(
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: RuntimeError: An error occurred while downloading using `hf_transfer`. Consider disabling HF_HUB_ENABLE_HF_TRANSFER for better error handling.
Job chaiml-gy-exp87-sftlora-84833-v1-mkmlizer completed after 391.95s with status: failed
Stopping job with name chaiml-gy-exp87-sftlora-84833-v1-mkmlizer
%s, retrying in %s seconds...
Starting job with name chaiml-gy-exp87-sftlora-84833-v1-mkmlizer
Waiting for job on chaiml-gy-exp87-sftlora-84833-v1-mkmlizer to finish
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chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: ║                                                                     ║
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chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: Downloaded to shared memory in 64.492s
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: Checking if ChaiML/gy-exp87-sftlora-gy-datamix-v1-bo8-ep12 already exists in ChaiML
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpeunakb1p, device:0
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: quantized model in 48.671s
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: Processed model ChaiML/gy-exp87-sftlora-gy-datamix-v1-bo8-ep12 in 113.164s
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-gy-exp87-sftlora-84833-v1/nvidia
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-gy-exp87-sftlora-84833-v1/nvidia/config.json
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-gy-exp87-sftlora-84833-v1/nvidia/special_tokens_map.json
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-gy-exp87-sftlora-84833-v1/nvidia/tokenizer_config.json
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-gy-exp87-sftlora-84833-v1/nvidia/tokenizer.json
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-gy-exp87-sftlora-84833-v1/nvidia/flywheel_model.1.safetensors
chaiml-gy-exp87-sftlora-84833-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-gy-exp87-sftlora-84833-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-gy-exp87-sftlora-84833-v1-mkmlizer completed after 136.24s with status: succeeded
Stopping job with name chaiml-gy-exp87-sftlora-84833-v1-mkmlizer
Pipeline stage MKMLizer completed in 529.10s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.25s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-gy-exp87-sftlora-84833-v1
Waiting for inference service chaiml-gy-exp87-sftlora-84833-v1 to be ready
Inference service chaiml-gy-exp87-sftlora-84833-v1 ready after 371.47634387016296s
Pipeline stage MKMLDeployer completed in 372.00s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.7982399463653564s
Received healthy response to inference request in 2.28621506690979s
Received healthy response to inference request in 1.901953935623169s
Received healthy response to inference request in 2.255869150161743s
Received healthy response to inference request in 1.9191169738769531s
5 requests
0 failed requests
5th percentile: 1.9053865432739259
10th percentile: 1.9088191509246826
20th percentile: 1.9156843662261962
30th percentile: 1.9864674091339112
40th percentile: 2.121168279647827
50th percentile: 2.255869150161743
60th percentile: 2.268007516860962
70th percentile: 2.2801458835601807
80th percentile: 2.3886200428009032
90th percentile: 2.59342999458313
95th percentile: 2.6958349704742433
99th percentile: 2.777758951187134
mean time: 2.2322790145874025
Pipeline stage StressChecker completed in 13.39s
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
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 0.83s
Shutdown handler de-registered
chaiml-gy-exp87-sftlora_84833_v1 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 chaiml-gy-exp87-sftlora-84833-v1-profiler
Waiting for inference service chaiml-gy-exp87-sftlora-84833-v1-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
Pipeline stage OfflineFamilyFriendlyScorer completed in 3256.32s
Shutdown handler de-registered
chaiml-gy-exp87-sftlora_84833_v1 status is now inactive due to auto deactivation removed underperforming models
chaiml-gy-exp87-sftlora_84833_v1 status is now torndown due to DeploymentManager action