submission_id: cgato-l3-1-thespice-v0-9_1055_v1
developer_uid: c.gato
best_of: 8
celo_rating: 1231.65
display_name: cgato-l3-1-thespice-v0-9_1055_v1
family_friendly_score: 0.545643153526971
family_friendly_standard_error: 0.005926382954438608
formatter: {'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{bot_name}:', 'truncate_by_message': False}
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}
is_internal_developer: False
language_model: cgato/L3.1-TheSpice-V0.9-MiniTune-v0.1
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cgato/L3.1-TheSpice-V0.9
model_name: cgato-l3-1-thespice-v0-9_1055_v1
model_num_parameters: 8030294016.0
model_repo: cgato/L3.1-TheSpice-V0.9-MiniTune-v0.1
model_size: 8B
num_battles: 7388
num_wins: 3455
ranking_group: single
status: torndown
submission_type: basic
timestamp: 2024-10-12T01:50:27+00:00
us_pacific_date: 2024-10-11
win_ratio: 0.4676502436383324
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 cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer
Waiting for job on cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer to finish
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: ║ _____ __ __ ║
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: ║ /___/ ║
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: ║ ║
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: ║ Version: 0.11.12 ║
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: ║ https://mk1.ai ║
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: ║ ║
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: ║ belonging to: ║
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: ║ ║
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: ║ Chai Research Corp. ║
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: ║ ║
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: Downloaded to shared memory in 63.944s
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp2mzq15dc, device:0
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/mk1/flywheel/functional/loader.py:55: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: tensors = torch.load(model_shard_filename, map_location=torch.device(self.device), mmap=True)
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: quantized model in 26.433s
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: Processed model cgato/L3.1-TheSpice-V0.9-MiniTune-v0.1 in 90.377s
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: creating bucket guanaco-mkml-models
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-1-thespice-v0-9-1055-v1
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-1-thespice-v0-9-1055-v1/special_tokens_map.json
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-1-thespice-v0-9-1055-v1/config.json
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-1-thespice-v0-9-1055-v1/tokenizer_config.json
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-1-thespice-v0-9-1055-v1/tokenizer.json
cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-l3-1-thespice-v0-9-1055-v1/flywheel_model.0.safetensors
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Job cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer completed after 114.82s with status: succeeded
Stopping job with name cgato-l3-1-thespice-v0-9-1055-v1-mkmlizer
Pipeline stage MKMLizer completed in 115.62s
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 cgato-l3-1-thespice-v0-9-1055-v1
Waiting for inference service cgato-l3-1-thespice-v0-9-1055-v1 to be ready
Inference service cgato-l3-1-thespice-v0-9-1055-v1 ready after 150.79911351203918s
Pipeline stage MKMLDeployer completed in 151.42s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.588005542755127s
Received healthy response to inference request in 1.6988351345062256s
Received healthy response to inference request in 1.3312156200408936s
Received healthy response to inference request in 1.3385436534881592s
Received healthy response to inference request in 1.243868112564087s
5 requests
0 failed requests
5th percentile: 1.2613376140594483
10th percentile: 1.2788071155548095
20th percentile: 1.3137461185455321
30th percentile: 1.3326812267303467
40th percentile: 1.3356124401092528
50th percentile: 1.3385436534881592
60th percentile: 1.4383284091949462
70th percentile: 1.5381131649017334
80th percentile: 1.6101714611053466
90th percentile: 1.654503297805786
95th percentile: 1.676669216156006
99th percentile: 1.6944019508361816
mean time: 1.4400936126708985
Pipeline stage StressChecker completed in 8.53s
Shutdown handler de-registered
cgato-l3-1-thespice-v0-9_1055_v1 status is now deployed due to DeploymentManager action
cgato-l3-1-thespice-v0-9_1055_v1 status is now inactive due to auto deactivation removed underperforming models
cgato-l3-1-thespice-v0-9_1055_v1 status is now torndown due to DeploymentManager action