nhotin/vistral7B-chat-gguf

Model Card for Vistral-7B-Chat

Model Details

• Model Name: Vistral-7B-Chat
• Version: 1.0
• Model Type: Causal Language Model
• Architecture: Transformer-based model with 7 billion parameters
• Quantization: 8-bit quantized for efficiency

Usage

How to use

from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "nhotin/vistral7B-chat-gguf"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

input_text = "Your text here"
inputs = tokenizer(input_text, return_tensors="pt")
outputs = model.generate(**inputs)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))