Date: 08.08.2025

Mistral 7b ROCm PyTorch Test

Table of Contents

• Overview
• Instructions

Overview

Requirments

• AMD Mi50/MI100 32Gb VRAM
• Workstation 40 GB RAM, 200GB SSD, 750W Power supply
• Ubuntu 24.04 LTS HWE Kernel
• Install python 3.11 or 3.12

Instructions

Steps

Get the Mistral

git lfs install
git clone https://huggingface.co/mistralai/Mistral-7B-v0.1 mistral

Preapre python environment for ROCm:

python3 -m venv .venv_llm_mistral
source ./.venv_llm_mistral/bin/activate
python -m pip install --upgrade pip
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm6.0
pip install transformers accelerate
python .\test_rocm_mistral.py

Create script test_rocm_mistral.py:

from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline 
import torch 
 
print("GPU available:", torch.cuda.is_available()) 
print("GPU name:", torch.cuda.get_device_name(0)) 

model_path = "/home/sysadmin/llm/mistral"

tokenizer = AutoTokenizer.from_pretrained(model_path) 
model     = AutoModelForCausalLM.from_pretrained( 
    model_path, 
    torch_dtype=torch.bfloat16 
).to("cuda") 
 
generator = pipeline( 
    "text-generation", 
    model=model, 
    tokenizer=tokenizer, 
    device=0  # Use GPU 
) 
 
print(generator("What you know about sun?", max_new_tokens=60)[0]["generated_text"])

Enjoy the result!