Meta-Llama-3.1-405B-Instruct-GGUF
| Property | Value |
|---|---|
| Parameter Count | 405B |
| License | llama3.1 |
| Supported Languages | English, German, French, Italian, Portuguese, Hindi, Spanish, Thai |
| Format | GGUF (Quantized) |
| Author | MaziyarPanahi |
What is Meta-Llama-3.1-405B-Instruct-GGUF?
This is a quantized version of Meta's Llama 3.1 405B parameter model, converted to the efficient GGUF format for local deployment. The model represents a significant advancement in large language model technology, offering both 2-bit and 3-bit quantization options for optimal performance and resource utilization.
Implementation Details
The model has been specifically optimized for instruction-following tasks and is available in the GGUF format, which replaced the older GGML format. It supports multiple quantization levels, making it adaptable to different hardware configurations and performance requirements.
- Multiple quantization options (2-bit and 3-bit)
- Optimized for 8 different languages
- Compatible with various GGUF-supporting platforms
- Designed for instruction-following tasks
Core Capabilities
- Multilingual text generation and understanding
- Instruction-following and conversational tasks
- Efficient local deployment through GGUF format
- Compatible with popular frameworks like llama.cpp
Frequently Asked Questions
Q: What makes this model unique?
This model stands out due to its massive 405B parameter size combined with efficient quantization options and support for 8 different languages. The GGUF format makes it particularly suitable for local deployment while maintaining good performance.
Q: What are the recommended use cases?
The model is ideal for multilingual applications requiring local deployment, instruction-following tasks, and scenarios where efficient resource usage is crucial. It's particularly well-suited for applications using platforms like llama.cpp, LM Studio, or text-generation-webui.
