Edit model card

Description

MaziyarPanahi/Mistral-7B-Instruct-v0.2-AWQ is a quantized (AWQ) version of mistralai/Mistral-7B-Instruct-v0.2

How to use

Install the necessary packages

pip install --upgrade accelerate autoawq transformers

Example Python code

from transformers import AutoTokenizer, AutoModelForCausalLM

model_id = "MaziyarPanahi/Mistral-7B-Instruct-v0.2-AWQ"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id).to(0)

text = "User:\nHello can you provide me with top-3 cool places to visit in Paris?\n\nAssistant:\n"
inputs = tokenizer(text, return_tensors="pt").to(0)

out = model.generate(**inputs, max_new_tokens=300)
print(tokenizer.decode(out[0], skip_special_tokens=True))

Results:

User:
Hello can you provide me with top-3 cool places to visit in Paris?

Assistant:
Absolutely, here are my top-3 recommendations for must-see places in Paris:

1. The Eiffel Tower: An icon of Paris, this wrought-iron lattice tower is a global cultural icon of France and is among the most recognizable structures in the world. Climbing up to the top offers breathtaking views of the city.

2. The Louvre Museum: Home to thousands of works of art, the Louvre is the world's largest art museum and a historic monument in Paris. Must-see pieces include the Mona Lisa, the Winged Victory of Samothrace, and the Venus de Milo.

3. Notre-Dame Cathedral: This cathedral is a masterpiece of French Gothic architecture and is famous for its intricate stone carvings, beautiful stained glass, and its iconic twin towers. Be sure to spend some time exploring its history and learning about the fascinating restoration efforts post the 2019 fire.

I hope you find these recommendations helpful and that they make for an enjoyable and memorable trip to Paris. Safe travels!
Downloads last month
123
Safetensors
Model size
1.2B params
Tensor type
I32
·
FP16
·
Inference API
Input a message to start chatting with MaziyarPanahi/Mistral-7B-Instruct-v0.2-AWQ.
Inference API (serverless) has been turned off for this model.

Quantized from

Collection including MaziyarPanahi/Mistral-7B-Instruct-v0.2-AWQ