đ [MaziyarPanahi/Llama-3.3-70B-Instruct-GGUF]
This repository contains GGUF format model files for meta-llama/Llama-3.3-70B-Instruct, enabling efficient text generation.
đ Quick Start
This section is not provided in the original README, so it is skipped.
⨠Features
- Quantized Model: Available in 2-bit, 3-bit, 4-bit, 5-bit, 6-bit, and 8-bit quantization.
- GGUF Format: Utilizes the new GGUF format, which is a replacement for GGML and is supported by llama.cpp.
đĻ Installation
This section is not provided in the original README, so it is skipped.
đ Documentation
Model Information
| Property |
Details |
| Base Model |
meta-llama/Llama-3.3-70B-Instruct |
| Model Creator |
meta-llama |
| Model Name |
Llama-3.3-70B-Instruct-GGUF |
| Pipeline Tag |
text-generation |
| Quantized By |
MaziyarPanahi |
| Tags |
quantized, 2-bit, 3-bit, 4-bit, 5-bit, 6-bit, 8-bit, GGUF, text-generation |
About GGUF
GGUF is a new format introduced by the llama.cpp team on August 21st, 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.
Here is an incomplete list of clients and libraries that are known to support GGUF:
- llama.cpp. The source project for GGUF. Offers a CLI and a server option.
- llama-cpp-python, a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.
- LM Studio, an easy-to-use and powerful local GUI for Windows and macOS (Silicon), with GPU acceleration. Linux available, in beta as of 27/11/2023.
- text-generation-webui, the most widely used web UI, with many features and powerful extensions. Supports GPU acceleration.
- KoboldCpp, a fully featured web UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling.
- GPT4All, a free and open source local running GUI, supporting Windows, Linux and macOS with full GPU accel.
- LoLLMS Web UI, a great web UI with many interesting and unique features, including a full model library for easy model selection.
- Faraday.dev, an attractive and easy to use character-based chat GUI for Windows and macOS (both Silicon and Intel), with GPU acceleration.
- candle, a Rust ML framework with a focus on performance, including GPU support, and ease of use.
- ctransformers, a Python library with GPU accel, LangChain support, and OpenAI-compatible AI server. Note, as of time of writing (November 27th 2023), ctransformers has not been updated in a long time and does not support many recent models.
đ§ Technical Details
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đ License
This section is not provided in the original README, so it is skipped.
đģ Usage Examples
This section is not provided in the original README, so it is skipped.
đ Special Thanks
Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.
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Transformers