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Merge pull request #9 from shane-huang/more-data
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bump version and update README
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shane-huang committed Apr 8, 2024
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# LlamaIndex Llms Integration: IPEX-LLM

[IPEX-LLM](https://github.com/intel-analytics/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 allows loading LLMs with ipex-llm optimizations.
[IPEX-LLM](https://github.com/intel-analytics/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

```bash
pip install llama-index-llms-ipex-llm
```

## Usage

```python
from llama_index.llms.ipex_llm import IpexLLM
```

## Examples

- [Notebook Example](https://docs.llamaindex.ai/en/stable/examples/llm/ipex_llm/)
- [More Examples](https://github.com/run-llama/llama_index/tree/main/llama-index-integrations/llms/llama-index-llms-ipex-llm/examples)
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from typing import Any, Callable, List, Optional, Sequence

import torch

from llama_index.core.base.llms.types import (
ChatMessage,
ChatResponse,
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name = "llama-index-llms-ipex-llm"
packages = [{include = "llama_index/"}]
readme = "README.md"
version = "0.1.0"
version = "0.1.1"

[tool.poetry.dependencies]
python = ">=3.9,<4.0"
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