uploaded readme

.gitattributes

@@ -43,3 +43,12 @@ gemma-2b-mt-German-to-English.Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
 gemma-2b-mt-German-to-English.IQ4_NL.gguf filter=lfs diff=lfs merge=lfs -text
 gemma-2b-mt-German-to-English.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
 gemma-2b-mt-German-to-English.Q4_K.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-2b-mt-German-to-English.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-2b-mt-German-to-English.Q4_1.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-2b-mt-German-to-English.Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-2b-mt-German-to-English.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-2b-mt-German-to-English.Q5_K.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-2b-mt-German-to-English.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-2b-mt-German-to-English.Q5_1.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-2b-mt-German-to-English.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+gemma-2b-mt-German-to-English.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

README.md

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+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+gemma-2b-mt-German-to-English - GGUF
+- Model creator: https://huggingface.co/Samvardhan777/
+- Original model: https://huggingface.co/Samvardhan777/gemma-2b-mt-German-to-English/
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [gemma-2b-mt-German-to-English.Q2_K.gguf](https://huggingface.co/RichardErkhov/Samvardhan777_-_gemma-2b-mt-German-to-English-gguf/blob/main/gemma-2b-mt-German-to-English.Q2_K.gguf) | Q2_K | 1.08GB |
+| [gemma-2b-mt-German-to-English.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Samvardhan777_-_gemma-2b-mt-German-to-English-gguf/blob/main/gemma-2b-mt-German-to-English.Q3_K_S.gguf) | Q3_K_S | 1.2GB |
+| [gemma-2b-mt-German-to-English.Q3_K.gguf](https://huggingface.co/RichardErkhov/Samvardhan777_-_gemma-2b-mt-German-to-English-gguf/blob/main/gemma-2b-mt-German-to-English.Q3_K.gguf) | Q3_K | 1.29GB |
+| [gemma-2b-mt-German-to-English.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Samvardhan777_-_gemma-2b-mt-German-to-English-gguf/blob/main/gemma-2b-mt-German-to-English.Q3_K_M.gguf) | Q3_K_M | 1.29GB |
+| [gemma-2b-mt-German-to-English.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Samvardhan777_-_gemma-2b-mt-German-to-English-gguf/blob/main/gemma-2b-mt-German-to-English.Q3_K_L.gguf) | Q3_K_L | 1.36GB |
+| [gemma-2b-mt-German-to-English.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Samvardhan777_-_gemma-2b-mt-German-to-English-gguf/blob/main/gemma-2b-mt-German-to-English.IQ4_XS.gguf) | IQ4_XS | 1.4GB |
+| [gemma-2b-mt-German-to-English.Q4_0.gguf](https://huggingface.co/RichardErkhov/Samvardhan777_-_gemma-2b-mt-German-to-English-gguf/blob/main/gemma-2b-mt-German-to-English.Q4_0.gguf) | Q4_0 | 1.44GB |
+| [gemma-2b-mt-German-to-English.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Samvardhan777_-_gemma-2b-mt-German-to-English-gguf/blob/main/gemma-2b-mt-German-to-English.IQ4_NL.gguf) | IQ4_NL | 1.45GB |
+| [gemma-2b-mt-German-to-English.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Samvardhan777_-_gemma-2b-mt-German-to-English-gguf/blob/main/gemma-2b-mt-German-to-English.Q4_K_S.gguf) | Q4_K_S | 1.45GB |
+| [gemma-2b-mt-German-to-English.Q4_K.gguf](https://huggingface.co/RichardErkhov/Samvardhan777_-_gemma-2b-mt-German-to-English-gguf/blob/main/gemma-2b-mt-German-to-English.Q4_K.gguf) | Q4_K | 1.52GB |
+| [gemma-2b-mt-German-to-English.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Samvardhan777_-_gemma-2b-mt-German-to-English-gguf/blob/main/gemma-2b-mt-German-to-English.Q4_K_M.gguf) | Q4_K_M | 1.52GB |
+| [gemma-2b-mt-German-to-English.Q4_1.gguf](https://huggingface.co/RichardErkhov/Samvardhan777_-_gemma-2b-mt-German-to-English-gguf/blob/main/gemma-2b-mt-German-to-English.Q4_1.gguf) | Q4_1 | 1.56GB |
+| [gemma-2b-mt-German-to-English.Q5_0.gguf](https://huggingface.co/RichardErkhov/Samvardhan777_-_gemma-2b-mt-German-to-English-gguf/blob/main/gemma-2b-mt-German-to-English.Q5_0.gguf) | Q5_0 | 1.68GB |
+| [gemma-2b-mt-German-to-English.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Samvardhan777_-_gemma-2b-mt-German-to-English-gguf/blob/main/gemma-2b-mt-German-to-English.Q5_K_S.gguf) | Q5_K_S | 1.68GB |
+| [gemma-2b-mt-German-to-English.Q5_K.gguf](https://huggingface.co/RichardErkhov/Samvardhan777_-_gemma-2b-mt-German-to-English-gguf/blob/main/gemma-2b-mt-German-to-English.Q5_K.gguf) | Q5_K | 1.71GB |
+| [gemma-2b-mt-German-to-English.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Samvardhan777_-_gemma-2b-mt-German-to-English-gguf/blob/main/gemma-2b-mt-German-to-English.Q5_K_M.gguf) | Q5_K_M | 1.71GB |
+| [gemma-2b-mt-German-to-English.Q5_1.gguf](https://huggingface.co/RichardErkhov/Samvardhan777_-_gemma-2b-mt-German-to-English-gguf/blob/main/gemma-2b-mt-German-to-English.Q5_1.gguf) | Q5_1 | 1.79GB |
+| [gemma-2b-mt-German-to-English.Q6_K.gguf](https://huggingface.co/RichardErkhov/Samvardhan777_-_gemma-2b-mt-German-to-English-gguf/blob/main/gemma-2b-mt-German-to-English.Q6_K.gguf) | Q6_K | 1.92GB |
+| [gemma-2b-mt-German-to-English.Q8_0.gguf](https://huggingface.co/RichardErkhov/Samvardhan777_-_gemma-2b-mt-German-to-English-gguf/blob/main/gemma-2b-mt-German-to-English.Q8_0.gguf) | Q8_0 | 2.49GB |
+
+
+
+
+Original model description:
+---
+license: mit
+language:
+- de
+- en
+pipeline_tag: translation
+tags:
+- text-generation-inference
+---
+
+
+# Description
+
+## Gemma 2B German to English v0.1 Alpha [Experimental Release] 
+This is a german instruction finetuned version of Google's Gemma 2B model. This is an experiment to see if Gemma can be Translate German to English by expanding vocabulary. While the responses may be rusty at times, it shows a lot of promise for a 2B parameter model.
+
+
+
+
+---
+# Model description 🗄️:
+  Model type: A 2B parameter GPT-like model finetuned on 100,000 samples consisting of an equal proportion of English and German samples. 
+  
+  Language(s): Bilingual. English and German.
+  
+  License: Google Gemma Terms of Use
+  
+  Finetuned from model: Samvardhan777/gemma-2b-mt-German-to-English
+  
+  Training Precision: bfloat16
+  
+  Training Hardware: Free Google Colab
+
+  Dataset: kaitchup/opus-German-to-English
+  
+---
+

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