初始化项目，由ModelHub XC社区提供模型
Model: RichardErkhov/Samvardhan777_-_gemma-2b-mt-German-to-English-gguf Source: Original Platform
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README.md
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README.md
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Quantization made by Richard Erkhov.
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[Github](https://github.com/RichardErkhov)
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[Discord](https://discord.gg/pvy7H8DZMG)
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[Request more models](https://github.com/RichardErkhov/quant_request)
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gemma-2b-mt-German-to-English - GGUF
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- Model creator: https://huggingface.co/Samvardhan777/
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- Original model: https://huggingface.co/Samvardhan777/gemma-2b-mt-German-to-English/
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| Name | Quant method | Size |
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| ---- | ---- | ---- |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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Original model description:
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---
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license: mit
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language:
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- de
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- en
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pipeline_tag: translation
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tags:
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- text-generation-inference
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---
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# Description
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## Gemma 2B German to English v0.1 Alpha [Experimental Release]
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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.
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---
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# Model description 🗄️:
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Model type: A 2B parameter GPT-like model finetuned on 100,000 samples consisting of an equal proportion of English and German samples.
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Language(s): Bilingual. English and German.
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License: Google Gemma Terms of Use
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Finetuned from model: Samvardhan777/gemma-2b-mt-German-to-English
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Training Precision: bfloat16
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Training Hardware: Free Google Colab
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Dataset: kaitchup/opus-German-to-English
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---
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