Skip to main content

No project description provided

Project description

llama2-webui

Running Llama 2 with gradio web UI on GPU or CPU from anywhere (Linux/Windows/Mac). Supporting Llama 2 7B, 13B, 70B with 8-bit, 4-bit mode. Supporting GPU inference with at least 6 GB VRAM, and CPU inference with at least 6 GB RAM.

screenshot

Features

Contents

Install

pip install -r requirements.txt

bitsandbytes >= 0.39 may not work on older NVIDIA GPUs. In that case, to use LOAD_IN_8BIT, you may have to downgrade like this:

  • pip install bitsandbytes==0.38.1

If run on CPU, install llama.cpp additionally by pip install llama-cpp-python.

Download Llama-2 Models

Llama 2 is a collection of pre-trained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters.

Llama-2-7b-Chat-GPTQ is the GPTQ model files for Meta's Llama 2 7b Chat. GPTQ 4-bit Llama-2 model require less GPU VRAM to run it.

Model List

Model Name set MODEL_PATH in .env Download URL
meta-llama/Llama-2-7b-chat-hf /path-to/Llama-2-7b-chat-hf Link
meta-llama/Llama-2-13b-chat-hf /path-to/Llama-2-13b-chat-hf Link
meta-llama/Llama-2-70b-chat-hf /path-to/Llama-2-70b-chat-hf Link
meta-llama/Llama-2-7b-hf /path-to/Llama-2-7b-hf Link
meta-llama/Llama-2-13b-hf /path-to/Llama-2-13b-hf Link
meta-llama/Llama-2-70b-hf /path-to/Llama-2-70b-hf Link
TheBloke/Llama-2-7b-Chat-GPTQ /path-to/Llama-2-7b-Chat-GPTQ Link
TheBloke/Llama-2-7B-Chat-GGML /path-to/llama-2-7b-chat.ggmlv3.q4_0.bin Link
... ... ...

Running 4-bit model Llama-2-7b-Chat-GPTQ needs GPU with 6GB VRAM.

Running 4-bit model llama-2-7b-chat.ggmlv3.q4_0.bin needs CPU with 6GB RAM. There is also a list of other 2, 3, 4, 5, 6, 8-bit GGML models that can be used from TheBloke/Llama-2-7B-Chat-GGML.

Download Script

These models can be downloaded from the link using CMD like:

# Make sure you have git-lfs installed (https://git-lfs.com)
git lfs install
git clone git@hf.co:meta-llama/Llama-2-7b-chat-hf

To download Llama 2 models, you need to request access from https://ai.meta.com/llama/ and also enable access on repos like meta-llama/Llama-2-7b-chat-hf. Requests will be processed in hours.

For GPTQ models like TheBloke/Llama-2-7b-Chat-GPTQ, you can directly download without requesting access.

For GGML models like TheBloke/Llama-2-7B-Chat-GGML, you can directly download without requesting access.

Usage

Config Examples

Setup your MODEL_PATH and model configs in .env file.

There are some examples in ./env_examples/ folder.

Model Setup Example .env
Llama-2-7b-chat-hf 8-bit on GPU .env.7b_8bit_example
Llama-2-7b-Chat-GPTQ 4-bit on GPU .env.7b_gptq_example
Llama-2-7B-Chat-GGML 4bit on CPU .env.7b_ggmlv3_q4_0_example
Llama-2-13b-chat-hf on GPU .env.13b_example
... ...

Start Web UI

Run chatbot with web UI:

python app.py

Run on Nvidia GPU

The running requires around 14GB of GPU VRAM for Llama-2-7b and 28GB of GPU VRAM for Llama-2-13b.

If you are running on multiple GPUs, the model will be loaded automatically on GPUs and split the VRAM usage. That allows you to run Llama-2-7b (requires 14GB of GPU VRAM) on a setup like 2 GPUs (11GB VRAM each).

Run on Low Memory GPU with 8 bit

If you do not have enough memory, you can set up your LOAD_IN_8BIT as True in .env. This can reduce memory usage by around half with slightly degraded model quality. It is compatible with the CPU, GPU, and Metal backend.

Llama-2-7b with 8-bit compression can run on a single GPU with 8 GB of VRAM, like an Nvidia RTX 2080Ti, RTX 4080, T4, V100 (16GB).

Run on Low Memory GPU with 4 bit

If you want to run 4 bit Llama-2 model like Llama-2-7b-Chat-GPTQ, you can set up your LOAD_IN_4BIT as True in .env like example .env.7b_gptq_example.

Make sure you have downloaded the 4-bit model from Llama-2-7b-Chat-GPTQ and set the MODEL_PATH and arguments in .env file.

Llama-2-7b-Chat-GPTQ can run on a single GPU with 6 GB of VRAM.

Run on CPU

Run Llama-2 model on CPU requires llama.cpp dependency and llama.cpp Python Bindings.

pip install llama-cpp-python

Download GGML models like llama-2-7b-chat.ggmlv3.q4_0.bin following Download Llama-2 Models section. llama-2-7b-chat.ggmlv3.q4_0.bin model requires at least 6 GB RAM to run on CPU.

Set up configs like .env.7b_ggmlv3_q4_0_example from env_examples as .env.

Run web UI python app.py .

Mac GPU and AMD/Nvidia GPU Acceleration

If you would like to use Mac GPU and AMD/Nvidia GPU for acceleration, check these:

Contributing

Kindly read our Contributing Guide to learn and understand about our development process.

All Contributors

License

MIT - see MIT License

Credits

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

llama2_wrapper-0.1.0.tar.gz (6.1 kB view hashes)

Uploaded Source

Built Distribution

llama2_wrapper-0.1.0-py3-none-any.whl (6.2 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page