🚀 MaziyarPanahi/Yi-Coder-1.5B-Chat-GGUF
This repository contains GGUF format model files for 01-ai/Yi-Coder-1.5B-Chat, facilitating text generation tasks.
🚀 Quick Start
This section provides a brief overview of the model and its usage. The MaziyarPanahi/Yi-Coder-1.5B-Chat-GGUF repository includes model files in the GGUF format for the 01-ai/Yi-Coder-1.5B-Chat model.
✨ Features
About GGUF
GGUF is a new format introduced by the llama.cpp team on August 21st, 2023. It serves as a replacement for GGML, which is no longer supported by llama.cpp.
Here is a list of clients and libraries known to support GGUF:
- llama.cpp. The source project for GGUF, offering a CLI and a server option.
- llama-cpp-python, a Python library with GPU acceleration, LangChain support, and an OpenAI-compatible API server.
- LM Studio, an easy-to-use and powerful local GUI for Windows and macOS (Silicon), with GPU acceleration. Linux support is in beta as of November 27th, 2023.
- text-generation-webui, the most widely used web UI, featuring many capabilities and powerful extensions. It supports GPU acceleration.
- KoboldCpp, a fully featured web UI with GPU acceleration across all platforms and GPU architectures. It is particularly suitable for storytelling.
- GPT4All, a free and open-source local running GUI, supporting Windows, Linux, and macOS with full GPU acceleration.
- LoLLMS Web UI, an excellent web UI with many interesting and unique features, including a comprehensive model library for easy model selection.
- Faraday.dev, an attractive and user-friendly character-based chat GUI for Windows and macOS (both Silicon and Intel), with GPU acceleration.
- candle, a Rust ML framework emphasizing performance, including GPU support, and ease of use.
- ctransformers, a Python library with GPU acceleration, LangChain support, and an OpenAI-compatible AI server. Note that as of November 27th, 2023, ctransformers has not been updated for a long time and does not support many recent models.
📚 Documentation
Tags
| Property |
Details |
| Model Type |
Quantized (2-bit, 3-bit, 4-bit, 5-bit, 6-bit, 8-bit), GGUF, Text Generation |
| Training Data |
Not specified |
Special Thanks
Special thanks to Georgi Gerganov and the entire team working on llama.cpp for making all of this possible.
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
Transformers