Generate text responses in a chat interface
Chat with a Japanese language model
Talk to a language model
Generate responses in a chat with Qwen, a helpful assistant
Generate conversational responses to text input
Chat with an AI that solves complex problems
Interact with PDFs using a chatbot that understands text and images
Chat with content from any website
Generate code and answers with chat instructions
Generate chat responses from user input
Start a chat to get answers and explanations from a language model
mistralai/Mistral-7B-Instruct-v0.3
Chat with Qwen, a helpful assistant
Llama3 8b MI AMD is a powerful 8-billion-parameter AI model optimized for AMD MI (Multi-Instance) technology. It is designed to generate human-like text responses in a chat interface and is part of the Llama family of models developed by Meta. This version is specifically tuned for AMD hardware, making it efficient for a wide range of natural language processing tasks.
Example code snippet for inference:
import torch
model = Llama3ForCausalInference.from_pretrained("llama3-8b-amd-mi")
tokenizer = AutoTokenizer.from_pretrained("llama3-8b-amd-mi")
inputs = tokenizer("Hello, how are you?", return_tensors="np")
outputs = model(**inputs)
response = tokenizer.decode(outputs[0].tolist(), skip_special_tokens=True)
print(response)
1. What hardware is required to run Llama3 8b MI AMD?
Llama3 8b MI AMD is optimized for AMD MI-compatible hardware. Ensure your system has a supported AMD GPU or CPU before running the model.
2. How does Llama3 8b MI AMD differ from other Llama models?
Llama3 8b MI AMD is specifically optimized for AMD hardware, particularly AMD MI technology, making it more efficient on AMD systems compared to other models.
3. Is Llama3 8b MI AMD faster than non-MI versions?
Yes, Llama3 8b MI AMD is optimized for AMD MI technology, which enables faster inference times on supported hardware compared to non-MI versions.