|
--- |
|
license: llama3 |
|
inference: false |
|
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct |
|
base_model_relation: quantized |
|
tags: |
|
- green |
|
- p8 |
|
- llmware-chat |
|
- onnx |
|
--- |
|
|
|
# llama-3.1-instruct-onnx |
|
|
|
**llama-3.1-instruct-ov** is an ONNX int4 quantized version of Llama 3.1 Instruct, providing a fast 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. |
|
|
|
|
|
### Model Description |
|
|
|
- **Developed by:** meta-llama |
|
- **Quantized by:** llmware |
|
- **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 github](https://www.github.com/llmware-ai/llmware) |
|
|
|
[llmware on hf](https://www.huggingface.co/llmware) |
|
|
|
[llmware website](https://www.llmware.ai) |
