GGUF-IQ2

GGUF-IQ2

This example shows how to run INT2 models using the IQ2 mechanism (first implemented by llama.cpp) in IPEX-LLM on Intel GPU.

Verified Models

• Llama-2-7b-hf, using llama-v2-7b.imatrix
• Llama-2-7b-chat-hf, using llama-v2-7b.imatrix
• Mistral-7B-Instruct-v0.2, using mistral-7b-instruct-v0.2.imatrix
• Mixtral-8x7B-v0.1, using mixtral-8x7b.imatrix
• Mixtral-8x7B-Instruct-v0.1, using mixtral-8x7b-instruct-v0.1.imatrix

Requirements

To run these examples with IPEX-LLM, we have some recommended requirements for your machine, please refer to here for more information.

Example: Predict Tokens using generate() API

In the example generate.py, we show a basic use case for a GGUF-IQ2 model to predict the next N tokens using generate() API, with IPEX-LLM optimizations.

1. Install

We suggest using conda to manage environment:

conda create -n llm python=3.11
conda activate llm
# below command will install intel_extension_for_pytorch==2.1.10+xpu as default
pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
pip install transformers==4.35.0

Note: For Mixtral model, please use transformers 4.36.0:

pip install transformers==4.36.0

2. Configures OneAPI environment variables

source /opt/intel/oneapi/setvars.sh

3. Run

For optimal performance on Arc, it is recommended to set several environment variables.

export USE_XETLA=OFF
export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1

python ./generate.py --repo-id-or-model-path REPO_ID_OR_MODEL_PATH --prompt PROMPT --n-predict N_PREDICT

Arguments info:

• --repo-id-or-model-path REPO_ID_OR_MODEL_PATH: argument defining the huggingface repo id for the model (e.g. meta-llama/Llama-2-7b-chat-hf and meta-llama/Llama-2-13b-chat-hf) to be downloaded, or the path to the huggingface checkpoint folder. It is default to be 'meta-llama/Llama-2-7b-chat-hf'.
• --prompt PROMPT: argument defining the prompt to be infered (with integrated prompt format for chat). It is default to be 'What is AI?'.
• --n-predict N_PREDICT: argument defining the max number of tokens to predict. It is default to be 32.

2.3 Sample Output

meta-llama/Llama-2-7b-chat-hf

Inference time: xxxx s
-------------------- Prompt --------------------
### HUMAN:
What is AI?

### RESPONSE:

-------------------- Output --------------------
### HUMAN:
What is AI?

### RESPONSE:

Artificial intelligence (AI) refers to the ability of machines to perform tasks that would typically require human intelligence, such as learning, problem-solving