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NorGLM_-_NorLlama-3B-gguf

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+ Quantization made by Richard Erkhov.
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+
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+ [Github](https://github.com/RichardErkhov)
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+
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+ [Discord](https://discord.gg/pvy7H8DZMG)
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+
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+ [Request more models](https://github.com/RichardErkhov/quant_request)
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+
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+
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+ NorLlama-3B - GGUF
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+ - Model creator: https://huggingface.co/NorGLM/
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+ - Original model: https://huggingface.co/NorGLM/NorLlama-3B/
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+
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+
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+ | Name | Quant method | Size |
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+ | ---- | ---- | ---- |
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+ | [NorLlama-3B.Q2_K.gguf](https://huggingface.co/RichardErkhov/NorGLM_-_NorLlama-3B-gguf/blob/main/NorLlama-3B.Q2_K.gguf) | Q2_K | 2.51GB |
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+ | [NorLlama-3B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/NorGLM_-_NorLlama-3B-gguf/blob/main/NorLlama-3B.IQ3_XS.gguf) | IQ3_XS | 2.51GB |
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+ | [NorLlama-3B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/NorGLM_-_NorLlama-3B-gguf/blob/main/NorLlama-3B.IQ3_S.gguf) | IQ3_S | 2.51GB |
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+ | [NorLlama-3B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/NorGLM_-_NorLlama-3B-gguf/blob/main/NorLlama-3B.Q3_K_S.gguf) | Q3_K_S | 2.51GB |
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+ | [NorLlama-3B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/NorGLM_-_NorLlama-3B-gguf/blob/main/NorLlama-3B.IQ3_M.gguf) | IQ3_M | 2.56GB |
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+ | [NorLlama-3B.Q3_K.gguf](https://huggingface.co/RichardErkhov/NorGLM_-_NorLlama-3B-gguf/blob/main/NorLlama-3B.Q3_K.gguf) | Q3_K | 2.56GB |
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+ | [NorLlama-3B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/NorGLM_-_NorLlama-3B-gguf/blob/main/NorLlama-3B.Q3_K_M.gguf) | Q3_K_M | 2.56GB |
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+ | [NorLlama-3B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/NorGLM_-_NorLlama-3B-gguf/blob/main/NorLlama-3B.Q3_K_L.gguf) | Q3_K_L | 2.59GB |
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+ | [NorLlama-3B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/NorGLM_-_NorLlama-3B-gguf/blob/main/NorLlama-3B.IQ4_XS.gguf) | IQ4_XS | 2.51GB |
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+ | [NorLlama-3B.Q4_0.gguf](https://huggingface.co/RichardErkhov/NorGLM_-_NorLlama-3B-gguf/blob/main/NorLlama-3B.Q4_0.gguf) | Q4_0 | 0.2GB |
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+ | [NorLlama-3B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/NorGLM_-_NorLlama-3B-gguf/blob/main/NorLlama-3B.IQ4_NL.gguf) | IQ4_NL | 0.49GB |
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+ | [NorLlama-3B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/NorGLM_-_NorLlama-3B-gguf/blob/main/NorLlama-3B.Q4_K_S.gguf) | Q4_K_S | 2.78GB |
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+ | [NorLlama-3B.Q4_K.gguf](https://huggingface.co/RichardErkhov/NorGLM_-_NorLlama-3B-gguf/blob/main/NorLlama-3B.Q4_K.gguf) | Q4_K | 2.82GB |
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+ | [NorLlama-3B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/NorGLM_-_NorLlama-3B-gguf/blob/main/NorLlama-3B.Q4_K_M.gguf) | Q4_K_M | 2.82GB |
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+ | [NorLlama-3B.Q4_1.gguf](https://huggingface.co/RichardErkhov/NorGLM_-_NorLlama-3B-gguf/blob/main/NorLlama-3B.Q4_1.gguf) | Q4_1 | 0.21GB |
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+ | [NorLlama-3B.Q5_0.gguf](https://huggingface.co/RichardErkhov/NorGLM_-_NorLlama-3B-gguf/blob/main/NorLlama-3B.Q5_0.gguf) | Q5_0 | 0.22GB |
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+ | [NorLlama-3B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/NorGLM_-_NorLlama-3B-gguf/blob/main/NorLlama-3B.Q5_K_S.gguf) | Q5_K_S | 2.91GB |
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+ | [NorLlama-3B.Q5_K.gguf](https://huggingface.co/RichardErkhov/NorGLM_-_NorLlama-3B-gguf/blob/main/NorLlama-3B.Q5_K.gguf) | Q5_K | 2.94GB |
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+ | [NorLlama-3B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/NorGLM_-_NorLlama-3B-gguf/blob/main/NorLlama-3B.Q5_K_M.gguf) | Q5_K_M | 2.94GB |
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+ | [NorLlama-3B.Q5_1.gguf](https://huggingface.co/RichardErkhov/NorGLM_-_NorLlama-3B-gguf/blob/main/NorLlama-3B.Q5_1.gguf) | Q5_1 | 0.23GB |
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+ | [NorLlama-3B.Q6_K.gguf](https://huggingface.co/RichardErkhov/NorGLM_-_NorLlama-3B-gguf/blob/main/NorLlama-3B.Q6_K.gguf) | Q6_K | 3.58GB |
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+ | [NorLlama-3B.Q8_0.gguf](https://huggingface.co/RichardErkhov/NorGLM_-_NorLlama-3B-gguf/blob/main/NorLlama-3B.Q8_0.gguf) | Q8_0 | 0.27GB |
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+
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+
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+
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+
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+ Original model description:
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+ ---
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+ license: cc-by-nc-sa-4.0
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+ language:
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+ - 'no'
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+ ---
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+
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+ Gnerative Pretrained Tranformer with 3 Billion parameters for Norwegian. NorLlama-3B is based on Llama architechture, and pretrained on [Tencent Pre-training Framework](https://github.com/Tencent/TencentPretrain)
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+
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+ It belongs to NorGLM, a suite of pretrained Norwegian Generative Language Models. NorGLM can be used for non-commercial purposes.
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+
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+ ## Datasets
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+ All models in NorGLM are trained on 200G datasets, nearly 25B tokens, including Norwegian, Denish, Swedish, Germany and English.
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+
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+ ## Run the Model
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+
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+ ```python
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+ import torch
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+ from transformers import AutoTokenizer, AutoModelForCausalLM
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+
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+ model_id = "NorGLM/NorLlama-3B"
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+ tokenizer = AutoTokenizer.from_pretrained(model_id)
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+ model = AutoModelForCausalLM.from_pretrained(
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+ model_id,
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+ device_map='auto',
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+ torch_dtype=torch.bfloat16
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+ )
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+
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+ text = "Tom ønsket å gå på barene med venner"
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+ inputs = tokenizer(text, return_tensors="pt")
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+ outputs = model.generate(**inputs, max_new_tokens=20)
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+ ```
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+
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+ ## Citation Information
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+ If you feel our work is helpful, please cite our paper:
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+
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+ ```
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+ @article{liu2023nlebench+,
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+ title={NLEBench+ NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian},
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+ author={Liu, Peng and Zhang, Lemei and Farup, Terje Nissen and Lauvrak, Even W and Ingvaldsen, Jon Espen and Eide, Simen and Gulla, Jon Atle and Yang, Zhirong},
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+ journal={arXiv preprint arXiv:2312.01314},
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+ year={2023}
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+ }
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+ ```
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+