LlamaIndex Llms Integration: IPEX-LLM
IPEX-LLM is a PyTorch library for running LLM on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max) with very low latency. This module enables the use of LLMs optimized with ipex-llm in LlamaIndex pipelines.
Installation
On CPU
pip install llama-index-llms-ipex-llm
On GPU
pip install llama-index-llms-ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
Usage
from llama_index.llms.ipex_llm import IpexLLM
Examples
1 maintainer
Metadata
1 maintainer
Release files for llama-index-llms-ipex-llm 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| llama_index_llms_ipex_llm-0.3.0.tar.gz | 6.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| llama_index_llms_ipex_llm-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.3 kB
Release files / llama_index_llms_ipex_llm-0.3.0.tar.gz
| Download URL | llama_index_llms_ipex_llm-0.3.0.tar.gz |
|---|---|
| Size | 6.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
ed2d68cd0c9849db11c3b815b14fe8d9c856347e07a33301bc3270369a2c9995
|
|
BLAKE2b-256 checksum How to use checksums |
e0be70465ee8e32f9838eb856db9c2f1f6a248ecee40f94cdb68d81cb80a69f4
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.8.3 CPython/3.11.10 Darwin/22.3.0
|
Release files / llama_index_llms_ipex_llm-0.3.0-py3-none-any.whl
| Download URL | llama_index_llms_ipex_llm-0.3.0-py3-none-any.whl |
|---|---|
| Size | 6.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
99d39fdfc4ef8a7672d69710116cb095376eb6eda63cc5de16f011268b88032b
|
|
BLAKE2b-256 checksum How to use checksums |
90c903f58c7ffeab122704fedcd2899335b383016a42fd33d668cbd1bd58858b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.8.3 CPython/3.11.10 Darwin/22.3.0
|
