developer_uid: azuruce
submission_id: gryphe-mythomax-l2-13b_v1
model_name: gryphe-mythomax-l2-13b_v1
model_group: gryphe/mythomax-l2-13b
status: torndown
timestamp: 2025-01-08T21:21:40+00:00
num_battles: 13849
num_wins: 5559
celo_rating: 1202.82
family_friendly_score: 0.5908
family_friendly_standard_error: 0.006953493510459329
submission_type: basic
model_repo: gryphe/mythomax-l2-13b
model_architecture: LlamaForCausalLM
model_num_parameters: 13015864320.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.5499503803110813, 'latency_mean': 1.8182892966270447, 'latency_p50': 1.8136100769042969, 'latency_p90': 2.0120137691497804}, {'batch_size': 3, 'throughput': 0.9571092666985292, 'latency_mean': 3.1237807762622833, 'latency_p50': 3.124259829521179, 'latency_p90': 3.3962780952453615}, {'batch_size': 5, 'throughput': 1.152284688480909, 'latency_mean': 4.307360920906067, 'latency_p50': 4.316433072090149, 'latency_p90': 4.8318401098251345}, {'batch_size': 6, 'throughput': 1.2311923209014553, 'latency_mean': 4.844723037481308, 'latency_p50': 4.839297533035278, 'latency_p90': 5.471284937858582}, {'batch_size': 8, 'throughput': 1.30975565147174, 'latency_mean': 6.045328344106674, 'latency_p50': 6.0504902601242065, 'latency_p90': 6.772319078445435}, {'batch_size': 10, 'throughput': 1.332451695884435, 'latency_mean': 7.444701766967773, 'latency_p50': 7.445636510848999, 'latency_p90': 8.38045139312744}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: gryphe-mythomax-l2-13b_v1
is_internal_developer: True
language_model: gryphe/mythomax-l2-13b
model_size: 13B
ranking_group: single
throughput_3p7s: 1.07
us_pacific_date: 2025-01-08
win_ratio: 0.4014008231641274
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 100, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '####', 'Bot:', 'User:', 'You:', 'Me', '<|im_end|>', '<|eot_id|>'], 'max_input_tokens': 1024, 'best_of': 4, 'max_output_tokens': 64}
formatter: {'memory_template': '', 'prompt_template': '', '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 gryphe-mythomax-l2-13b-v1-mkmlizer
Waiting for job on gryphe-mythomax-l2-13b-v1-mkmlizer to finish
gryphe-mythomax-l2-13b-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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gryphe-mythomax-l2-13b-v1-mkmlizer: ║ /___/ ║
gryphe-mythomax-l2-13b-v1-mkmlizer: ║ ║
gryphe-mythomax-l2-13b-v1-mkmlizer: ║ Version: 0.11.12 ║
gryphe-mythomax-l2-13b-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
gryphe-mythomax-l2-13b-v1-mkmlizer: ║ https://mk1.ai ║
gryphe-mythomax-l2-13b-v1-mkmlizer: ║ ║
gryphe-mythomax-l2-13b-v1-mkmlizer: ║ The license key for the current software has been verified as ║
gryphe-mythomax-l2-13b-v1-mkmlizer: ║ belonging to: ║
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gryphe-mythomax-l2-13b-v1-mkmlizer: ║ Chai Research Corp. ║
gryphe-mythomax-l2-13b-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
gryphe-mythomax-l2-13b-v1-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
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gryphe-mythomax-l2-13b-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
gryphe-mythomax-l2-13b-v1-mkmlizer: Downloaded to shared memory in 83.268s
gryphe-mythomax-l2-13b-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpxcd69ob9, device:0
gryphe-mythomax-l2-13b-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
gryphe-mythomax-l2-13b-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.
gryphe-mythomax-l2-13b-v1-mkmlizer: tensors = torch.load(model_shard_filename, map_location=torch.device(self.device), mmap=True)
gryphe-mythomax-l2-13b-v1-mkmlizer: quantized model in 27.311s
gryphe-mythomax-l2-13b-v1-mkmlizer: Processed model gryphe/mythomax-l2-13b in 110.579s
gryphe-mythomax-l2-13b-v1-mkmlizer: creating bucket guanaco-mkml-models
gryphe-mythomax-l2-13b-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
gryphe-mythomax-l2-13b-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/gryphe-mythomax-l2-13b-v1
gryphe-mythomax-l2-13b-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/gryphe-mythomax-l2-13b-v1/config.json
gryphe-mythomax-l2-13b-v1-mkmlizer: cp /dev/shm/model_cache/added_tokens.json s3://guanaco-mkml-models/gryphe-mythomax-l2-13b-v1/added_tokens.json
gryphe-mythomax-l2-13b-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/gryphe-mythomax-l2-13b-v1/special_tokens_map.json
gryphe-mythomax-l2-13b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/gryphe-mythomax-l2-13b-v1/tokenizer_config.json
gryphe-mythomax-l2-13b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/gryphe-mythomax-l2-13b-v1/tokenizer.model
gryphe-mythomax-l2-13b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/gryphe-mythomax-l2-13b-v1/tokenizer.json
gryphe-mythomax-l2-13b-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/gryphe-mythomax-l2-13b-v1/flywheel_model.0.safetensors
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Job gryphe-mythomax-l2-13b-v1-mkmlizer completed after 134.78s with status: succeeded
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Pipeline stage MKMLizer completed in 135.30s
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Inference service gryphe-mythomax-l2-13b-v1 ready after 362.0327091217041s
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