Llama-2-7B-32K-Instruct-GGUF
Maintainer: TheBloke
53
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| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
The Llama-2-7B-32K-Instruct-GGUF model is a large language model created by TheBloke and maintained on Hugging Face. It is part of the Llama 2 family of models, which range from 7 billion to 70 billion parameters. This particular model is a 7B parameter version that has been fine-tuned for instruction-following and safety. It is available in a GGUF format, which is a newer model file format introduced by the llama.cpp team.
The Llama-2-7B-32K-Instruct-GGUF model can be compared to other similar GGUF models maintained by TheBloke, such as the CodeLlama-7B-Instruct-GGUF and CodeLlama-34B-Instruct-GGUF models, which are focused on code generation and understanding.
Model inputs and outputs
Inputs
- Text data in natural language
Outputs
- Generated text in natural language
Capabilities
The Llama-2-7B-32K-Instruct-GGUF model can be used for a variety of natural language processing tasks, including text generation, language modeling, and instruction following. It has been fine-tuned to be helpful, respectful, and honest in its responses, and to avoid producing harmful, unethical, or biased content.
What can I use it for?
The Llama-2-7B-32K-Instruct-GGUF model could be useful for building AI assistants, chatbots, or other applications that require a language model with strong instruction-following capabilities and a focus on safety and ethics. The GGUF format also makes it compatible with a wide range of tools and libraries, including llama.cpp, text-generation-webui, and LangChain.
Things to try
One interesting thing to try with the Llama-2-7B-32K-Instruct-GGUF model is to test its ability to follow complex, multi-step instructions or prompts. The model's fine-tuning for instruction-following could make it particularly well-suited for tasks that require a high level of understanding and reasoning.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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