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RichardErkhov/4yo1_-_sapie-gguf

sourceHugging Faceupdated 2y agoView on Hugging Face

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Quantization made by Richard Erkhov.

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sapie - GGUF

—Model creator: https://huggingface.co/4yo1/
—Original model: https://huggingface.co/4yo1/sapie/

Name	Quant method	Size
sapie.Q2_K.gguf	Q2_K	2.96GB
sapie.IQ3_XS.gguf	IQ3_XS	3.28GB
sapie.IQ3_S.gguf	IQ3_S	3.43GB
sapie.Q3_K_S.gguf	Q3KS	3.41GB
sapie.IQ3_M.gguf	IQ3_M	3.52GB
sapie.Q3_K.gguf	Q3_K	3.74GB
sapie.Q3_K_M.gguf	Q3KM	3.74GB
sapie.Q3_K_L.gguf	Q3KL	4.03GB
sapie.IQ4_XS.gguf	IQ4_XS	4.18GB
sapie.Q4_0.gguf	Q4_0	4.34GB
sapie.IQ4_NL.gguf	IQ4_NL	4.38GB
sapie.Q4_K_S.gguf	Q4KS	4.37GB
sapie.Q4_K.gguf	Q4_K	4.58GB
sapie.Q4_K_M.gguf	Q4KM	4.58GB
sapie.Q4_1.gguf	Q4_1	4.78GB
sapie.Q5_0.gguf	Q5_0	5.21GB
sapie.Q5_K_S.gguf	Q5KS	5.21GB
sapie.Q5_K.gguf	Q5_K	5.34GB
sapie.Q5_K_M.gguf	Q5KM	5.34GB
sapie.Q5_1.gguf	Q5_1	5.65GB
sapie.Q6_K.gguf	Q6_K	6.14GB
sapie.Q8_0.gguf	Q8_0	7.95GB

Original model description: --- library_name: transformers language:

—en
—ko pipeline_tag: translation license: mit datasets:
—recipes ---

Model Card for Model ID

Model Details

Model Card: sapie with Fine-Tuning Model Overview Model Name: sapie

Model Type: Transformer-based Language Model

Model Size: 8 billion parameters

by: 4yo1

Languages: English and Korean

how to use - sample code

python

from transformers import AutoConfig, AutoModel, AutoTokenizer

config = AutoConfig.from_pretrained("4yo1/sapie")
model = AutoModel.from_pretrained("4yo1/sapie")
tokenizer = AutoTokenizer.from_pretrained("4yo1/sapie")

datasets:

—recipes

license: mit