richarderkhov/scb10x_-_llama-3-typhoon-v1.5-8b-gguf overview

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    "summary": "Quantization made by Richard Erkhov. Github Discord Request more models llama-3-typhoon-v1.5-8b - GGUF | Name | Quant method | Size | | ---- | ---- | ---- | | llama-3-typhoon-v1.5-8b.Q2_K.gguf | Q2_K | 2.96GB | | llama-3-typhoon-v1.5-8b.IQ3_XS.gguf | IQ3_XS | 3.28GB | | llama-3-typhoon-v1.5-8b.IQ3_S.gguf | IQ3_S | 3.43GB | | llama-3-typhoon-v1.5-8b.Q3_K_S.gguf | Q3_K_S | 3.41GB | | llama-3-typhoon-v1.5-8b.IQ3_M.gguf | IQ3_M | 3.52GB | | llama-3-typhoon-v1.5-8b.Q3_K.gguf | Q3_K | 3.74GB | | llama-3-typhoon-v1.5-8b.Q3_K_M.gguf | Q3_K_M | 3.74GB | | llama-3-typhoon-v1.5-8b.Q3_K_L.gguf | Q3_K_L | 4.03GB | | llama-3-typhoon-v1.5-8b.IQ4_XS.gguf | IQ4_XS | 4.18GB | | llama-3-typhoon-v1.5-8b.Q4_0.gguf | Q4_0 | 4.34GB | | llama-3-typhoon-v1.5-8b.IQ4_NL.gguf | IQ4_NL | 4.38GB | | llama-3-typhoon-v1.5-8b.Q4_K_S.gguf | Q4_K_S | 4.37GB | | llama-3-typhoon-v1.5-8b.Q4_K.gguf | Q4_K | 4.58GB | | llama-3-typhoon-v1.5-8b.Q4_K_M.gguf | Q4_K_M | 4.58GB | | llama-3-typhoon-v1.5-8b.Q4_1.gguf | Q4_1 | 4.78GB | | llama-3-typhoon-v1.5-8b.Q5_0.gguf | Q5_0 | 5.21GB | | llama-3-typhoon-v1.5-8b.Q5_K_S.gguf | Q5_K_S | 5.21GB | | llama-3-typhoon-v1.5-8b.Q5_K.gguf | Q5_K | 5.34GB | | llama-3-typhoon-v1.5-8b.Q5_K_M.gguf | Q5_K_M | 5.34GB | | llama-3-typhoon-v1.5-8b.Q5_1.gguf | Q5_1 | 5.65GB | | llama-3-typhoon-v1.5-8b.Q6_K.gguf | Q6_K | 6.14GB | | llama-3-typhoon-v1.5-8b.Q8_0.gguf | Q8_0 | 7.95GB | Original model description: --- license: llama3 language: pipeline_tag: text-generation tags: --- **Llama-3-Typhoon-v1.5-8B: Thai Large Language Model (Pretrained)** **Typhoon-8B** is a *pretrained only* Thai 🇹🇭 large language model with 8 billion parameters, and it is based on Llama3-8B. For release notes, please see our blog. *To acknowledge Meta's effort in creating the foundation model and to comply with the license, we explicitly include \"llama-3\" in the model name.",
    "quick_links": [],
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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\nllama-3-typhoon-v1.5-8b - GGUF\n- Model creator: https://huggingface.co/scb10x/\n- Original model: https://huggingface.co/scb10x/llama-3-typhoon-v1.5-8b/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [llama-3-typhoon-v1.5-8b.Q2_K.gguf](https://huggingface.co/RichardErkhov/scb10x_-_llama-3-typhoon-v1.5-8b-gguf/blob/main/llama-3-typhoon-v1.5-8b.Q2_K.gguf) | Q2_K | 2.96GB |\n| [llama-3-typhoon-v1.5-8b.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/scb10x_-_llama-3-typhoon-v1.5-8b-gguf/blob/main/llama-3-typhoon-v1.5-8b.IQ3_XS.gguf) | IQ3_XS | 3.28GB |\n| [llama-3-typhoon-v1.5-8b.IQ3_S.gguf](https://huggingface.co/RichardErkhov/scb10x_-_llama-3-typhoon-v1.5-8b-gguf/blob/main/llama-3-typhoon-v1.5-8b.IQ3_S.gguf) | IQ3_S | 3.43GB |\n| [llama-3-typhoon-v1.5-8b.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/scb10x_-_llama-3-typhoon-v1.5-8b-gguf/blob/main/llama-3-typhoon-v1.5-8b.Q3_K_S.gguf) | Q3_K_S | 3.41GB |\n| [llama-3-typhoon-v1.5-8b.IQ3_M.gguf](https://huggingface.co/RichardErkhov/scb10x_-_llama-3-typhoon-v1.5-8b-gguf/blob/main/llama-3-typhoon-v1.5-8b.IQ3_M.gguf) | IQ3_M | 3.52GB |\n| [llama-3-typhoon-v1.5-8b.Q3_K.gguf](https://huggingface.co/RichardErkhov/scb10x_-_llama-3-typhoon-v1.5-8b-gguf/blob/main/llama-3-typhoon-v1.5-8b.Q3_K.gguf) | Q3_K | 3.74GB |\n| [llama-3-typhoon-v1.5-8b.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/scb10x_-_llama-3-typhoon-v1.5-8b-gguf/blob/main/llama-3-typhoon-v1.5-8b.Q3_K_M.gguf) | Q3_K_M | 3.74GB |\n| [llama-3-typhoon-v1.5-8b.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/scb10x_-_llama-3-typhoon-v1.5-8b-gguf/blob/main/llama-3-typhoon-v1.5-8b.Q3_K_L.gguf) | Q3_K_L | 4.03GB |\n| [llama-3-typhoon-v1.5-8b.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/scb10x_-_llama-3-typhoon-v1.5-8b-gguf/blob/main/llama-3-typhoon-v1.5-8b.IQ4_XS.gguf) | IQ4_XS | 4.18GB |\n| [llama-3-typhoon-v1.5-8b.Q4_0.gguf](https://huggingface.co/RichardErkhov/scb10x_-_llama-3-typhoon-v1.5-8b-gguf/blob/main/llama-3-typhoon-v1.5-8b.Q4_0.gguf) | Q4_0 | 4.34GB |\n| [llama-3-typhoon-v1.5-8b.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/scb10x_-_llama-3-typhoon-v1.5-8b-gguf/blob/main/llama-3-typhoon-v1.5-8b.IQ4_NL.gguf) | IQ4_NL | 4.38GB |\n| [llama-3-typhoon-v1.5-8b.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/scb10x_-_llama-3-typhoon-v1.5-8b-gguf/blob/main/llama-3-typhoon-v1.5-8b.Q4_K_S.gguf) | Q4_K_S | 4.37GB |\n| [llama-3-typhoon-v1.5-8b.Q4_K.gguf](https://huggingface.co/RichardErkhov/scb10x_-_llama-3-typhoon-v1.5-8b-gguf/blob/main/llama-3-typhoon-v1.5-8b.Q4_K.gguf) | Q4_K | 4.58GB |\n| [llama-3-typhoon-v1.5-8b.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/scb10x_-_llama-3-typhoon-v1.5-8b-gguf/blob/main/llama-3-typhoon-v1.5-8b.Q4_K_M.gguf) | Q4_K_M | 4.58GB |\n| [llama-3-typhoon-v1.5-8b.Q4_1.gguf](https://huggingface.co/RichardErkhov/scb10x_-_llama-3-typhoon-v1.5-8b-gguf/blob/main/llama-3-typhoon-v1.5-8b.Q4_1.gguf) | Q4_1 | 4.78GB |\n| [llama-3-typhoon-v1.5-8b.Q5_0.gguf](https://huggingface.co/RichardErkhov/scb10x_-_llama-3-typhoon-v1.5-8b-gguf/blob/main/llama-3-typhoon-v1.5-8b.Q5_0.gguf) | Q5_0 | 5.21GB |\n| [llama-3-typhoon-v1.5-8b.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/scb10x_-_llama-3-typhoon-v1.5-8b-gguf/blob/main/llama-3-typhoon-v1.5-8b.Q5_K_S.gguf) | Q5_K_S | 5.21GB |\n| [llama-3-typhoon-v1.5-8b.Q5_K.gguf](https://huggingface.co/RichardErkhov/scb10x_-_llama-3-typhoon-v1.5-8b-gguf/blob/main/llama-3-typhoon-v1.5-8b.Q5_K.gguf) | Q5_K | 5.34GB |\n| [llama-3-typhoon-v1.5-8b.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/scb10x_-_llama-3-typhoon-v1.5-8b-gguf/blob/main/llama-3-typhoon-v1.5-8b.Q5_K_M.gguf) | Q5_K_M | 5.34GB |\n| [llama-3-typhoon-v1.5-8b.Q5_1.gguf](https://huggingface.co/RichardErkhov/scb10x_-_llama-3-typhoon-v1.5-8b-gguf/blob/main/llama-3-typhoon-v1.5-8b.Q5_1.gguf) | Q5_1 | 5.65GB |\n| [llama-3-typhoon-v1.5-8b.Q6_K.gguf](https://huggingface.co/RichardErkhov/scb10x_-_llama-3-typhoon-v1.5-8b-gguf/blob/main/llama-3-typhoon-v1.5-8b.Q6_K.gguf) | Q6_K | 6.14GB |\n| [llama-3-typhoon-v1.5-8b.Q8_0.gguf](https://huggingface.co/RichardErkhov/scb10x_-_llama-3-typhoon-v1.5-8b-gguf/blob/main/llama-3-typhoon-v1.5-8b.Q8_0.gguf) | Q8_0 | 7.95GB |\n\n\n\n\nOriginal model description:\n---\nlicense: llama3\nlanguage:\n- th\n- en\npipeline_tag: text-generation\ntags:\n- pretrained\n---\n**Llama-3-Typhoon-v1.5-8B: Thai Large Language Model (Pretrained)**\n\n**Typhoon-8B** is a *pretrained only* Thai 🇹🇭 large language model with 8 billion parameters, and it is based on Llama3-8B.\n\nFor release notes, please see our [blog](https://blog.opentyphoon.ai/typhoon-1-5-release-a9364cb8e8d7). *To acknowledge Meta's effort in creating the foundation model and to comply with the license, we explicitly include \"llama-3\" in the model name.\n\n## **Model Description**\n\n- **Model type**: A 8B pretrained decoder-only model based on Llama architecture.\n- **Requirement**: transformers 4.38.0 or newer.\n- **Primary Language(s)**: Thai 🇹🇭 and English 🇬🇧\n- **License**: [Llama 3 Community License](https://llama.meta.com/llama3/license/)\n\n## **Intended Uses & Limitations**\n\nThis model is a pretrained base model. Thus, it may not be able to follow human instructions without using one/few-shot learning or instruction fine-tuning. The model does not have any moderation mechanisms, and may generate harmful or inappropriate responses.\n\n## **Follow us**\n\n**https://twitter.com/opentyphoon**\n\n## **Support**\n\n**https://discord.gg/CqyBscMFpg**\n\n## **SCB10X AI Team**\n\n- Kunat Pipatanakul, Potsawee Manakul, Sittipong Sripaisarnmongkol, Natapong Nitarach, Pathomporn Chokchainant, Kasima Tharnpipitchai\n- If you find Typhoon-8B useful for your work, please cite it using:\n\n```\n@article{pipatanakul2023typhoon,\n    title={Typhoon: Thai Large Language Models}, \n    author={Kunat Pipatanakul and Phatrasek Jirabovonvisut and Potsawee Manakul and Sittipong Sripaisarnmongkol and Ruangsak Patomwong and Pathomporn Chokchainant and Kasima Tharnpipitchai},\n    year={2023},\n    journal={arXiv preprint arXiv:2312.13951},\n    url={https://arxiv.org/abs/2312.13951}\n}\n```\n\n## **Contact Us**\n\n- General & Collaboration: **[kasima@scb10x.com](mailto:kasima@scb10x.com)**, **[pathomporn@scb10x.com](mailto:pathomporn@scb10x.com)**\n- Technical: **[kunat@scb10x.com](mailto:kunat@scb10x.com)**\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "arxiv:2312.13951",
    "endpoints_compatible",
    "region:us",
    "conversational"
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