Modelpublic

RichardErkhov/lemon-mint_-_gemma-ko-7b-it-v0.41-gguf

sourceHugging Faceupdated 2y agoView on Hugging Face

0likes1.5kdownloads

Model Card

Quantization made by Richard Erkhov.

Github

Discord

Request more models

gemma-ko-7b-it-v0.41 - GGUF

—Model creator: https://huggingface.co/lemon-mint/
—Original model: https://huggingface.co/lemon-mint/gemma-ko-7b-it-v0.41/

Name	Quant method	Size
gemma-ko-7b-it-v0.41.Q2_K.gguf	Q2_K	3.24GB
gemma-ko-7b-it-v0.41.IQ3_XS.gguf	IQ3_XS	3.54GB
gemma-ko-7b-it-v0.41.IQ3_S.gguf	IQ3_S	3.71GB
gemma-ko-7b-it-v0.41.Q3_K_S.gguf	Q3KS	3.71GB
gemma-ko-7b-it-v0.41.IQ3_M.gguf	IQ3_M	3.82GB
gemma-ko-7b-it-v0.41.Q3_K.gguf	Q3_K	4.07GB
gemma-ko-7b-it-v0.41.Q3_K_M.gguf	Q3KM	4.07GB
gemma-ko-7b-it-v0.41.Q3_K_L.gguf	Q3KL	4.39GB
gemma-ko-7b-it-v0.41.IQ4_XS.gguf	IQ4_XS	4.48GB
gemma-ko-7b-it-v0.41.Q4_0.gguf	Q4_0	4.67GB
gemma-ko-7b-it-v0.41.IQ4_NL.gguf	IQ4_NL	4.69GB
gemma-ko-7b-it-v0.41.Q4_K_S.gguf	Q4KS	4.7GB
gemma-ko-7b-it-v0.41.Q4_K.gguf	Q4_K	4.96GB
gemma-ko-7b-it-v0.41.Q4_K_M.gguf	Q4KM	4.96GB
gemma-ko-7b-it-v0.41.Q4_1.gguf	Q4_1	5.12GB
gemma-ko-7b-it-v0.41.Q5_0.gguf	Q5_0	5.57GB
gemma-ko-7b-it-v0.41.Q5_K_S.gguf	Q5KS	5.57GB
gemma-ko-7b-it-v0.41.Q5_K.gguf	Q5_K	5.72GB
gemma-ko-7b-it-v0.41.Q5_K_M.gguf	Q5KM	5.72GB
gemma-ko-7b-it-v0.41.Q5_1.gguf	Q5_1	6.02GB
gemma-ko-7b-it-v0.41.Q6_K.gguf	Q6_K	6.53GB
gemma-ko-7b-it-v0.41.Q8_0.gguf	Q8_0	8.45GB

Original model description: --- libraryname: transformers license: other licensename: gemma-terms-of-use license_link: https://ai.google.dev/gemma/terms language:

—ko
—en tags:
—korean
—gemma
—pytorch pipeline_tag: text-generation ---

image/png

Gemma Ko 7B Instruct v0.41

—Eval Loss: 1.21711
—lr: 1e-5
—optimizer: adamw
—lrschedulertype: cosine

Model Details

Model Description

The Gemma 7B Ko Instruct v0.41 model is designed for generating human-like text in the Korean language. It can be used for a variety of natural language processing tasks, such as language translation, text summarization, question answering, and conversation generation. This model is particularly well-suited for applications that require high-quality, coherent, and contextually relevant Korean text generation.

—Developed by: lemon-mint
—Model type: Gemma
—Language(s) (NLP): Korean, English
—License: gemma-terms-of-use
—Finetuned from model: google/gemma-7b-it

Limitations and Ethical Considerations

As Gemma Ko 7B has been trained on extensive web data, biases present in the training data may be reflected in the model. Additionally, there is a possibility that it may generate sentences containing errors or incorrect information. Therefore, rather than blindly trusting the model's output, it is necessary to refer to it with caution.