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Model Description

Lora file - llama3.2-1b trained with Dataset yahma/alpaca-cleaned

{'train_runtime': 5056.0088, 'train_samples_per_second': 10.237, 'train_steps_per_second': 1.28, 'train_loss': 1.111878503778434, 'epoch': 1.0} 100%|████████████████████████████████████████████████████████████████████████████| 6470/6470 [1:24:16<00:00, 1.28it/s] 5056.0088 seconds used for training. 84.27 minutes used for training. Peak reserved memory = 4.652 GB. Peak reserved memory for training = 3.597 GB. Peak reserved memory % of max memory = 29.082 %. Peak reserved memory for training % of max memory = 22.487 %.

tec spec: intel Core I7 - 14700 128GB-RAM 16GB - 4060 Nvidia Card M.2 - SSD - ~4TB

Developed by: by their respective owner
Funded by none: none
Shared by their respective owner: their respective owner
Model type: llama-3.2-1b-bnb-4bit
Language(s) (NLP): I've tried to didn't change, but will be english based
License: Academic Free license v3.0
Finetuned from model meta: unsloth/llama-3.2-1b-bnb-4bit

Model Sources [optional]

Repository: meta-llama/Llama-3.2-1B
Paper by meta-llama: https://ai.meta.com/research/publications/the-llama-3-herd-of-models/
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Status: ALPHA Not for production, not for serious use, unknown and unpredictal results, results might be wrong, this model is untested. Probably uncesored also (don't know :P)

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Training Details

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Framework versions

PEFT 0.14.0