| --- |
| license: mit |
| --- |
| # Quantized_by: durga231 |
| $ durga231/PolyCoder-2.7B-GGUF| |
| - Modell creator: (NinedayWang) (https://huggingface.co/NinedayWang/PolyCoder-2.7B) |
| - Original model: (PolyCoder-2.7B ) (https://huggingface.co/NinedayWang/PolyCoder-2.7B)| |
| ‹I-- description start --> |
| $$ Description |
| This repo contains GGUF format model files for (PolyCoder-2.7B-GGUF] |
| (https://huggingface.co/NinedayWang/PolyCoder-2.7B). |
| <I-- description end --> |
| <1 -- README_ |
| GGUF .md-about-gguf start --> |
| ### About GGUF| |
| GUF is a new format introduced by the llama.pp team on August 21st 2023. It is a replacement for GOMI, which is no longer supported by 1lama. cpp. |
| Here is an incomplete list of clients and libraries that are known to support GGUF: |
| * [1lama. appl (https://github.com/ggerganey/llama.app). The source project for GGUF. Offers a CLI and a server option. |
| * [text-generation-webui] (httpa://github.com/gobabooga/text-generation-webuil. the most widely used wob Ul, with many features and powerful extensions. Supports GPU acceleration. |
| * [KoboldCpp] (https://github.com/lostRuins/kebeldappLe a fully featured wob UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling. |
| [IM Studio] (httpa://Inatudio.ai/le an easy-to-use and powerful |
| [lama-app-python) (https://github.com/abetlen/1lama-pp-python) a Python library with GPU accel, LangChain support, and OpenAI-compatiblo API server. |
| (candlo) (https://github.com/huggingface/candle) a Rust ML framework with a focus on performance, including GPU support, and ease of use. |
| (transformers) (https://github.com/marella/otransfoxmera)e a Python library with GPU accel, LangChain support, and OpenAI-compatible AI server. Note, as of time of writing (November 27th 2023), ctransfor |
| KEADNE |
| GGUF .md-about-gguf end --> |
| ‹I-- repositorios-availablo start --> |
| <I-- README_GGUF .md-how-to-download start --› |
| #$ How to download GGUF files |
| **Note for manual downloaders:** You almost never want to clone the entire repo! Multiple different quantisation formats are provided, and most users only want to pick and download a single file. |
| The following clients/libraries will |
| automatically |
| download models for you, providing a list of available models to choose from: |
| * IM Studio |
| * LOLIMS Web UI |
| Faraday.dev |
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| <--original-model-card start --> |
