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RichardErkhov/PhelixZhen_-_Algae-550M-base-8bits
PhelixZhen_-_Algae-550M-base-8bits is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Downloads · 30 days
11
42% of all-time downloads
All-time downloads
26
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555M
685 MB on disk
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.safetensors685 MB · 99%
How the weights are stored.
I8426M · 77%
From the Hugging Face model README
Quantization made by Richard Erkhov.
Algae-550M-base - bnb 8bits
license: mit language:
This model was trained on a 35GB dataset using bf16 precision and completed 1.8 epochs. It performs well in answering questions, achieving a score of up to 45.2 in TruthfulQA (mc2), surpassing GPT-2 (40.6). Other metrics align with models of equivalent training and parameter volume.
This model was trained using open-source datasets. All work was completed solely by the author. Given that the author is currently a high school student without formal systematic training, any questions or suggestions are welcome.
It's important to note that the version of the model released here is not necessarily the one with the best performance in testing, but rather a version with improved overall language comprehension abilities.