|
--- |
|
license: llama3 |
|
inference: false |
|
tags: |
|
- green |
|
- p8 |
|
- llmware-chat |
|
- ov |
|
--- |
|
|
|
# llama-3.1-instruct-ov |
|
|
|
<!-- Provide a quick summary of what the model is/does. --> |
|
|
|
**llama-3.1-instruct-ov-ov** is an OpenVino int4 quantized version of Llama 3.1 Instruct, providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU. |
|
|
|
[**llama-3.1-instruct**](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) is a leading open source general foundation model from Meta. |
|
|
|
Get started right away with [OpenVino](https://github.com/openvinotoolkit/openvino) |
|
|
|
Looking for AI PC solutions and demos, contact us at [llmware](https://www.llmware.ai) |
|
|
|
|
|
### Model Description |
|
|
|
- **Developed by:** meta-llama |
|
- **Model type:** llama-3.1 |
|
- **Parameters:** 8 billion |
|
- **Model Parent:** meta-llama/Meta-Llama-3.1-8B-Instruct |
|
- **Language(s) (NLP):** English |
|
- **License:** Llama 3.1 Community License |
|
- **Uses:** General chat use cases |
|
- **RAG Benchmark Accuracy Score:** NA |
|
- **Quantization:** int4 |
|
|
|
|
|
## Model Card Contact |
|
|
|
[llmware on hf](https://www.huggingface.co/llmware) |
|
|
|
[llmware website](https://www.llmware.ai) |