RichardErkhov/l3cube-pune_-_marathi-gpt-gemma-2b-gguf

Quantization made by Richard Erkhov.

marathi-gpt-gemma-2b - GGUF

Model creator: https://huggingface.co/l3cube-pune/
Original model: https://huggingface.co/l3cube-pune/marathi-gpt-gemma-2b/

Name	Quant method	Size
marathi-gpt-gemma-2b.Q2_K.gguf	Q2_K	1.08GB
marathi-gpt-gemma-2b.IQ3_XS.gguf	IQ3_XS	1.16GB
marathi-gpt-gemma-2b.IQ3_S.gguf	IQ3_S	1.2GB
marathi-gpt-gemma-2b.Q3_K_S.gguf	Q3_K_S	1.2GB
marathi-gpt-gemma-2b.IQ3_M.gguf	IQ3_M	1.22GB
marathi-gpt-gemma-2b.Q3_K.gguf	Q3_K	1.29GB
marathi-gpt-gemma-2b.Q3_K_M.gguf	Q3_K_M	1.29GB
marathi-gpt-gemma-2b.Q3_K_L.gguf	Q3_K_L	1.36GB
marathi-gpt-gemma-2b.IQ4_XS.gguf	IQ4_XS	1.4GB
marathi-gpt-gemma-2b.Q4_0.gguf	Q4_0	1.44GB
marathi-gpt-gemma-2b.IQ4_NL.gguf	IQ4_NL	1.45GB
marathi-gpt-gemma-2b.Q4_K_S.gguf	Q4_K_S	1.45GB
marathi-gpt-gemma-2b.Q4_K.gguf	Q4_K	1.52GB
marathi-gpt-gemma-2b.Q4_K_M.gguf	Q4_K_M	1.52GB
marathi-gpt-gemma-2b.Q4_1.gguf	Q4_1	1.56GB
marathi-gpt-gemma-2b.Q5_0.gguf	Q5_0	1.68GB
marathi-gpt-gemma-2b.Q5_K_S.gguf	Q5_K_S	1.68GB
marathi-gpt-gemma-2b.Q5_K.gguf	Q5_K	1.71GB
marathi-gpt-gemma-2b.Q5_K_M.gguf	Q5_K_M	1.71GB
marathi-gpt-gemma-2b.Q5_1.gguf	Q5_1	1.79GB
marathi-gpt-gemma-2b.Q6_K.gguf	Q6_K	1.92GB
marathi-gpt-gemma-2b.Q8_0.gguf	Q8_0	2.49GB

Original model description:

license: cc-by-4.0 language: mr widget: # - text: \n### Instruction:\n(9+0)+(10+5)? 3 चरणांमध्ये सोडवा\n\n### Input:\n\n\n### Response:\n - text: \n### Instruction:\nमहाराष्ट्राची राजधानी काय आहे?\n\n### Input:\n\n\n### Response:\n

MahaGemma-2B

MahaGemma-2B is a Marathi Gemma model. It is a Gemma 2B (google/gemma-2b) model LoRA fine-tuned on translated Marathi datasets. [dataset link] (https://github.com/l3cube-pune/MarathiNLP)

This is part of the MahaNLP initiative. More details coming soon.

Prompt format:

<bos>\n### Instruction:\nमहाराष्ट्राची राजधानी काय आहे?\n\n### Input:\n\n\n### Response:\nमहाराष्ट्राची राजधानी मुंबई आहे

Citing

@article{joshi2022l3cube,
  title={L3cube-mahanlp: Marathi natural language processing datasets, models, and library},
  author={Joshi, Raviraj},
  journal={arXiv preprint arXiv:2205.14728},
  year={2022}
}

Model Family:
MahaGemma-2B
MahaGemma-7B