Update llm readme (#8703)
This commit is contained in:
parent
1b65288bdb
commit
d03218674a
2 changed files with 18 additions and 9 deletions
|
|
@ -9,13 +9,14 @@ _**Fast, Distributed, Secure AI for Big Data**_
|
|||
---
|
||||
## Latest News
|
||||
|
||||
- **Try the latest [`bigdl-llm`](python/llm) for running LLM (language language model) on your Intel laptop using INT4 with very low latency!** *(It is built on top of the excellent work of [llama.cpp](https://github.com/ggerganov/llama.cpp), [gptq](https://github.com/IST-DASLab/gptq), [bitsandbytes](https://github.com/TimDettmers/bitsandbytes), etc., and supports any Hugging Face Transformers model)*
|
||||
- **Try the latest [`bigdl-llm`](python/llm) for running LLM (language language model) on your Intel laptop using INT4 with very low latency!**[^1] *(It is built on top of the excellent work of [llama.cpp](https://github.com/ggerganov/llama.cpp), [gptq](https://github.com/IST-DASLab/gptq), [bitsandbytes](https://github.com/TimDettmers/bitsandbytes), etc., and supports any Hugging Face Transformers model)*
|
||||
|
||||
<p align="center">
|
||||
<img src="https://github.com/bigdl-project/bigdl-project.github.io/blob/master/assets/llm-7b.gif" width='30%' /> <img src="https://github.com/bigdl-project/bigdl-project.github.io/blob/master/assets/llm-13b.gif" width='30%' /> <img src="https://github.com/bigdl-project/bigdl-project.github.io/blob/master/assets/llm-15b5.gif" width='30%' />
|
||||
<img src="https://github.com/bigdl-project/bigdl-project.github.io/blob/master/assets/llm-models.png" width='76%'/>
|
||||
<img src="https://github.com/bigdl-project/bigdl-project.github.io/blob/master/assets/chatglm2-6b.gif" width='30%' /> <img src="https://github.com/bigdl-project/bigdl-project.github.io/blob/master/assets/llm-13b.gif" width='30%' /> <img src="https://github.com/bigdl-project/bigdl-project.github.io/blob/master/assets/llm-15b5.gif" width='30%' />
|
||||
<img src="https://github.com/bigdl-project/bigdl-project.github.io/blob/master/assets/llm-models2.png" width='76%'/>
|
||||
</p>
|
||||
|
||||
- **[Update] Over a dozen models have been verified on [`bigdl-llm`](python/llm)**, including *LLaMA/LLaMA2, ChatGLM/ChatGLM2, MPT, Falcon, Dolly-v1/Dolly-v2, StarCoder, Whisper, QWen, Baichuan,* and more; see the complete list [here](python/llm/README.md#verified-models).
|
||||
|
||||
---
|
||||
## Overview
|
||||
|
|
@ -406,6 +407,8 @@ If you've found BigDL useful for your project, you may cite our papers as follow
|
|||
}
|
||||
```
|
||||
|
||||
[^1]: Performance varies by use, configuration and other factors. `bigdl-llm` may not optimize to the same degree for non-Intel products. Learn more at www.Intel.com/PerformanceIndex.
|
||||
|
||||
- *[BigDL](https://arxiv.org/abs/1804.05839): A Distributed Deep Learning Framework for Big Data*
|
||||
```
|
||||
@INPROCEEDINGS{10.1145/3357223.3362707,
|
||||
|
|
|
|||
|
|
@ -1,15 +1,15 @@
|
|||
## BigDL-LLM
|
||||
|
||||
**`bigdl-llm`** is a library for running ***LLM*** (language language model) on your Intel ***laptop*** using INT4 with very low latency (for any Hugging Face *Transformers* model).
|
||||
**`bigdl-llm`** is a library for running ***LLM*** (language language model) on your Intel ***laptop*** using INT4 with very low latency[^1] (for any Hugging Face *Transformers* model).
|
||||
|
||||
*(It is built on top of the excellent work of [llama.cpp](https://github.com/ggerganov/llama.cpp), [gptq](https://github.com/IST-DASLab/gptq), [ggml](https://github.com/ggerganov/ggml), [llama-cpp-python](https://github.com/abetlen/llama-cpp-python), [gptq_for_llama](https://github.com/qwopqwop200/GPTQ-for-LLaMa), [bitsandbytes](https://github.com/TimDettmers/bitsandbytes), [redpajama.cpp](https://github.com/togethercomputer/redpajama.cpp), [gptneox.cpp](https://github.com/byroneverson/gptneox.cpp), [bloomz.cpp](https://github.com/NouamaneTazi/bloomz.cpp/), etc.)*
|
||||
>*(It is built on top of the excellent work of [llama.cpp](https://github.com/ggerganov/llama.cpp), [gptq](https://github.com/IST-DASLab/gptq), [ggml](https://github.com/ggerganov/ggml), [llama-cpp-python](https://github.com/abetlen/llama-cpp-python), [gptq_for_llama](https://github.com/qwopqwop200/GPTQ-for-LLaMa), [bitsandbytes](https://github.com/TimDettmers/bitsandbytes), [chatglm.cpp](https://github.com/li-plus/chatglm.cpp), [redpajama.cpp](https://github.com/togethercomputer/redpajama.cpp), [gptneox.cpp](https://github.com/byroneverson/gptneox.cpp), [bloomz.cpp](https://github.com/NouamaneTazi/bloomz.cpp/), etc.)*
|
||||
|
||||
### Demos
|
||||
See the ***optimized performance*** of `phoenix-inst-chat-7b`, `vicuna-13b-v1.1`, and `starcoder-15b` models on a 12th Gen Intel Core CPU below.
|
||||
See the ***optimized performance*** of `chatglm2-6b`, `vicuna-13b-v1.1`, and `starcoder-15b` models on a 12th Gen Intel Core CPU below.
|
||||
|
||||
<p align="center">
|
||||
<img src="https://github.com/bigdl-project/bigdl-project.github.io/blob/master/assets/llm-7b.gif" width='33%' /> <img src="https://github.com/bigdl-project/bigdl-project.github.io/blob/master/assets/llm-13b.gif" width='33%' /> <img src="https://github.com/bigdl-project/bigdl-project.github.io/blob/master/assets/llm-15b5.gif" width='33%' />
|
||||
<img src="https://github.com/bigdl-project/bigdl-project.github.io/blob/master/assets/llm-models.png" width='85%'/>
|
||||
<img src="https://github.com/bigdl-project/bigdl-project.github.io/blob/master/assets/chatglm2-6b.gif" width='33%' /> <img src="https://github.com/bigdl-project/bigdl-project.github.io/blob/master/assets/llm-13b.gif" width='33%' /> <img src="https://github.com/bigdl-project/bigdl-project.github.io/blob/master/assets/llm-15b5.gif" width='33%' />
|
||||
<img src="https://github.com/bigdl-project/bigdl-project.github.io/blob/master/assets/llm-models2.png" width='85%'/>
|
||||
</p>
|
||||
|
||||
### Verified models
|
||||
|
|
@ -22,6 +22,7 @@ We may use any Hugging Face Transfomer models on `bigdl-llm`, and the following
|
|||
| Falcon | [link](example/transformers/transformers_int4/falcon) |
|
||||
| ChatGLM | [link](example/transformers/transformers_int4/chatglm) |
|
||||
| ChatGLM2 | [link](example/transformers/transformers_int4/chatglm2) |
|
||||
| Qwen | [link](example/transformers/transformers_int4/qwen) |
|
||||
| MOSS | [link](example/transformers/transformers_int4/moss) |
|
||||
| Baichuan | [link](example/transformers/transformers_int4/baichuan) |
|
||||
| Dolly-v1 | [link](example/transformers/transformers_int4/dolly_v1) |
|
||||
|
|
@ -31,7 +32,6 @@ We may use any Hugging Face Transfomer models on `bigdl-llm`, and the following
|
|||
| StarCoder | [link1](example/transformers/native_int4), [link2](example/transformers/transformers_int4/starcoder) |
|
||||
| InternLM | [link](example/transformers/transformers_int4/internlm) |
|
||||
| Whisper | [link](example/transformers/transformers_int4/whisper) |
|
||||
| Qwen | [link](example/transformers/transformers_int4/qwen) |
|
||||
|
||||
|
||||
### Working with `bigdl-llm`
|
||||
|
|
@ -44,6 +44,7 @@ We may use any Hugging Face Transfomer models on `bigdl-llm`, and the following
|
|||
- [Hugging Face `transformers` API](#hugging-face-transformers-api)
|
||||
- [LangChain API](#langchain-api)
|
||||
- [CLI Tool](#cli-tool)
|
||||
- [`bigdl-llm` API Doc](#bigdl-llm-api-doc)
|
||||
- [`bigdl-llm` Dependence](#bigdl-llm-dependence)
|
||||
|
||||
</details>
|
||||
|
|
@ -237,6 +238,11 @@ You may run the models using the LangChain API in `bigdl-llm`.
|
|||
llm-chat -m "/path/to/output/model.bin" -x llama
|
||||
```
|
||||
|
||||
### `bigdl-llm` API Doc
|
||||
See the inital `bigdl-llm` API Doc [here](https://bigdl.readthedocs.io/en/latest/doc/PythonAPI/LLM/index.html).
|
||||
|
||||
[^1]: Performance varies by use, configuration and other factors. `bigdl-llm` may not optimize to the same degree for non-Intel products. Learn more at www.Intel.com/PerformanceIndex.
|
||||
|
||||
### `bigdl-llm` Dependence
|
||||
The native code/lib in `bigdl-llm` has been built using the following tools; in particular, lower `LIBC` version on your Linux system may be incompatible with `bigdl-llm`.
|
||||
|
||||
|
|
|
|||
Loading…
Reference in a new issue