richarderkhov/swap-uniba_-_llamantino-2-chat-13b-hf-ita-gguf overview

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    "readme_markdown": "Quantization made by Richard Erkhov.\n\n[Github](https://github.com/RichardErkhov)\n\n[Discord](https://discord.gg/pvy7H8DZMG)\n\n[Request more models](https://github.com/RichardErkhov/quant_request)\n\n\nLLaMAntino-2-chat-13b-hf-ITA - GGUF\n- Model creator: https://huggingface.co/swap-uniba/\n- Original model: https://huggingface.co/swap-uniba/LLaMAntino-2-chat-13b-hf-ITA/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [LLaMAntino-2-chat-13b-hf-ITA.Q2_K.gguf](https://huggingface.co/RichardErkhov/swap-uniba_-_LLaMAntino-2-chat-13b-hf-ITA-gguf/blob/main/LLaMAntino-2-chat-13b-hf-ITA.Q2_K.gguf) | Q2_K | 4.52GB |\n| [LLaMAntino-2-chat-13b-hf-ITA.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/swap-uniba_-_LLaMAntino-2-chat-13b-hf-ITA-gguf/blob/main/LLaMAntino-2-chat-13b-hf-ITA.Q3_K_S.gguf) | Q3_K_S | 5.27GB |\n| [LLaMAntino-2-chat-13b-hf-ITA.Q3_K.gguf](https://huggingface.co/RichardErkhov/swap-uniba_-_LLaMAntino-2-chat-13b-hf-ITA-gguf/blob/main/LLaMAntino-2-chat-13b-hf-ITA.Q3_K.gguf) | Q3_K | 5.9GB |\n| [LLaMAntino-2-chat-13b-hf-ITA.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/swap-uniba_-_LLaMAntino-2-chat-13b-hf-ITA-gguf/blob/main/LLaMAntino-2-chat-13b-hf-ITA.Q3_K_M.gguf) | Q3_K_M | 5.9GB |\n| [LLaMAntino-2-chat-13b-hf-ITA.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/swap-uniba_-_LLaMAntino-2-chat-13b-hf-ITA-gguf/blob/main/LLaMAntino-2-chat-13b-hf-ITA.Q3_K_L.gguf) | Q3_K_L | 6.45GB |\n| [LLaMAntino-2-chat-13b-hf-ITA.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/swap-uniba_-_LLaMAntino-2-chat-13b-hf-ITA-gguf/blob/main/LLaMAntino-2-chat-13b-hf-ITA.IQ4_XS.gguf) | IQ4_XS | 6.54GB |\n| [LLaMAntino-2-chat-13b-hf-ITA.Q4_0.gguf](https://huggingface.co/RichardErkhov/swap-uniba_-_LLaMAntino-2-chat-13b-hf-ITA-gguf/blob/main/LLaMAntino-2-chat-13b-hf-ITA.Q4_0.gguf) | Q4_0 | 6.86GB |\n| [LLaMAntino-2-chat-13b-hf-ITA.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/swap-uniba_-_LLaMAntino-2-chat-13b-hf-ITA-gguf/blob/main/LLaMAntino-2-chat-13b-hf-ITA.IQ4_NL.gguf) | IQ4_NL | 6.9GB |\n| [LLaMAntino-2-chat-13b-hf-ITA.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/swap-uniba_-_LLaMAntino-2-chat-13b-hf-ITA-gguf/blob/main/LLaMAntino-2-chat-13b-hf-ITA.Q4_K_S.gguf) | Q4_K_S | 6.91GB |\n| [LLaMAntino-2-chat-13b-hf-ITA.Q4_K.gguf](https://huggingface.co/RichardErkhov/swap-uniba_-_LLaMAntino-2-chat-13b-hf-ITA-gguf/blob/main/LLaMAntino-2-chat-13b-hf-ITA.Q4_K.gguf) | Q4_K | 7.33GB |\n| [LLaMAntino-2-chat-13b-hf-ITA.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/swap-uniba_-_LLaMAntino-2-chat-13b-hf-ITA-gguf/blob/main/LLaMAntino-2-chat-13b-hf-ITA.Q4_K_M.gguf) | Q4_K_M | 7.33GB |\n| [LLaMAntino-2-chat-13b-hf-ITA.Q4_1.gguf](https://huggingface.co/RichardErkhov/swap-uniba_-_LLaMAntino-2-chat-13b-hf-ITA-gguf/blob/main/LLaMAntino-2-chat-13b-hf-ITA.Q4_1.gguf) | Q4_1 | 7.61GB |\n| [LLaMAntino-2-chat-13b-hf-ITA.Q5_0.gguf](https://huggingface.co/RichardErkhov/swap-uniba_-_LLaMAntino-2-chat-13b-hf-ITA-gguf/blob/main/LLaMAntino-2-chat-13b-hf-ITA.Q5_0.gguf) | Q5_0 | 8.36GB |\n| [LLaMAntino-2-chat-13b-hf-ITA.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/swap-uniba_-_LLaMAntino-2-chat-13b-hf-ITA-gguf/blob/main/LLaMAntino-2-chat-13b-hf-ITA.Q5_K_S.gguf) | Q5_K_S | 8.36GB |\n| [LLaMAntino-2-chat-13b-hf-ITA.Q5_K.gguf](https://huggingface.co/RichardErkhov/swap-uniba_-_LLaMAntino-2-chat-13b-hf-ITA-gguf/blob/main/LLaMAntino-2-chat-13b-hf-ITA.Q5_K.gguf) | Q5_K | 8.6GB |\n| [LLaMAntino-2-chat-13b-hf-ITA.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/swap-uniba_-_LLaMAntino-2-chat-13b-hf-ITA-gguf/blob/main/LLaMAntino-2-chat-13b-hf-ITA.Q5_K_M.gguf) | Q5_K_M | 8.6GB |\n| [LLaMAntino-2-chat-13b-hf-ITA.Q5_1.gguf](https://huggingface.co/RichardErkhov/swap-uniba_-_LLaMAntino-2-chat-13b-hf-ITA-gguf/blob/main/LLaMAntino-2-chat-13b-hf-ITA.Q5_1.gguf) | Q5_1 | 9.1GB |\n| [LLaMAntino-2-chat-13b-hf-ITA.Q6_K.gguf](https://huggingface.co/RichardErkhov/swap-uniba_-_LLaMAntino-2-chat-13b-hf-ITA-gguf/blob/main/LLaMAntino-2-chat-13b-hf-ITA.Q6_K.gguf) | Q6_K | 9.95GB |\n| [LLaMAntino-2-chat-13b-hf-ITA.Q8_0.gguf](https://huggingface.co/RichardErkhov/swap-uniba_-_LLaMAntino-2-chat-13b-hf-ITA-gguf/blob/main/LLaMAntino-2-chat-13b-hf-ITA.Q8_0.gguf) | Q8_0 | 12.88GB |\n\n\n\n\nOriginal model description:\n---\nlicense: llama2\nlanguage:\n- it\ntags:\n- text-generation-inference\n---\n# Model Card for LLaMAntino-2-chat-13b-ITA\n\n## Model description\n\n<!-- Provide a quick summary of what the model is/does. -->\n\n**LLaMAntino-2-chat-13b** is a *Large Language Model (LLM)* that is an italian-adapted **LLaMA 2 chat**. \nThis model aims to provide Italian NLP researchers with a base model for italian dialogue use cases.\n\nThe model was trained using *QLora* and using as training data [clean_mc4_it medium](https://huggingface.co/datasets/gsarti/clean_mc4_it/viewer/medium). \nIf you are interested in more details regarding the training procedure, you can find the code we used at the following link:\n- **Repository:** https://github.com/swapUniba/LLaMAntino\n\n**NOTICE**: the code has not been released yet, we apologize for the delay, it will be available asap!\n\n- **Developed by:** Pierpaolo Basile, Elio Musacchio, Marco Polignano, Lucia Siciliani, Giuseppe Fiameni, Giovanni Semeraro\n- **Funded by:** PNRR project FAIR - Future AI Research\n- **Compute infrastructure:** [Leonardo](https://www.hpc.cineca.it/systems/hardware/leonardo/) supercomputer\n- **Model type:** LLaMA 2 chat\n- **Language(s) (NLP):** Italian\n- **License:** Llama 2 Community License \n- **Finetuned from model:** [NousResearch/Llama-2-13b-chat-hf](https://huggingface.co/NousResearch/Llama-2-13b-chat-hf)\n\n## How to Get Started with the Model\n\nBelow you can find an example of model usage:\n\n```python\nfrom transformers import AutoModelForCausalLM, AutoTokenizer\n\nmodel_id = \"swap-uniba/LLaMAntino-2-chat-13b-hf-ITA\"\n\ntokenizer = AutoTokenizer.from_pretrained(model_id)\nmodel = AutoModelForCausalLM.from_pretrained(model_id)\n\nprompt = \"Scrivi qui un possibile prompt\"\n\ninput_ids = tokenizer(prompt, return_tensors=\"pt\").input_ids\noutputs = model.generate(input_ids=input_ids)\n\nprint(tokenizer.batch_decode(outputs.detach().cpu().numpy()[:, input_ids.shape[1]:], skip_special_tokens=True)[0])\n```\n\nIf you are facing issues when loading the model, you can try to load it quantized:\n\n```python\nmodel = AutoModelForCausalLM.from_pretrained(model_id, load_in_8bit=True)\n```\n\n*Note*: The model loading strategy above requires the [*bitsandbytes*](https://pypi.org/project/bitsandbytes/) and [*accelerate*](https://pypi.org/project/accelerate/) libraries\n\n## Citation\n\n<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->\n\nIf you use this model in your research, please cite the following:\n\n```bibtex\n@misc{basile2023llamantino,\n      title={LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian Language}, \n      author={Pierpaolo Basile and Elio Musacchio and Marco Polignano and Lucia Siciliani and Giuseppe Fiameni and Giovanni Semeraro},\n      year={2023},\n      eprint={2312.09993},\n      archivePrefix={arXiv},\n      primaryClass={cs.CL}\n}\n```\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "arxiv:2312.09993",
    "endpoints_compatible",
    "region:us"
  ],
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  "last_modified": "2024-10-30T08:23:24.000Z",
  "created_at": "2024-10-30T03:00:16.000Z",
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