Llama-2-70B-Chat-GGUF
| Property | Value |
|---|---|
| Base Model | Meta Llama 2 70B Chat |
| Architecture | Llama |
| Parameters | 70 Billion |
| License | Llama2 |
| Paper | Research Paper |
What is Llama-2-70B-Chat-GGUF?
Llama-2-70B-Chat-GGUF is a quantized version of Meta's largest Llama 2 chat model, converted to the efficient GGUF format. This version offers multiple quantization options ranging from 2-bit to 8-bit precision, allowing users to balance between model size and performance based on their hardware capabilities. The model has been specifically optimized for dialogue use cases and includes comprehensive safety measures.
Implementation Details
The model is available in various quantization levels, from Q2_K (29.28GB) to Q8_0 (73.29GB), each offering different tradeoffs between model size and quality. It's compatible with llama.cpp and various third-party UIs, supporting features like GPU acceleration and extended context lengths.
- Multiple quantization options (Q2_K to Q8_0)
- GPU acceleration support
- 4K sequence length with automatic RoPE scaling
- Comprehensive safety measures and content filtering
Core Capabilities
- Advanced dialogue generation with high coherence
- Strong performance on academic benchmarks (68.9% on MMLU)
- Enhanced safety features with 64.14% truthfulness score
- Minimal toxic content generation (0.01%)
- Support for various deployment options (Python, LangChain, etc.)
Frequently Asked Questions
Q: What makes this model unique?
This model represents the largest and most capable version of Llama 2, with state-of-the-art performance across various benchmarks. The GGUF format and multiple quantization options make it highly accessible for different hardware configurations.
Q: What are the recommended use cases?
The model excels in dialogue applications, including chatbots, virtual assistants, and content generation. It's particularly well-suited for applications requiring high accuracy and safety, with strong performance in truthfulness and minimal toxic content generation.
