metadata
datasets:
- TIGER-Lab/MathInstruct
language:
- en
base_model:
- mistralai/Mistral-7B-v0.3
pipeline_tag: text-generation
Math Virtuoso 7B
This model is a Math Instruction fine-tuned version of Mistral 7B v0.3 model.
Inference
!pip install transformers accelerate
from transformers import AutoTokenizer, AutoModelForCausalLM
model_name = "entfane/math-virtuoso-7B"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)
messages = [
{"role": "user", "content": "What's the derivative of 2x^2?"}
]
input = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
encoded_input = tokenizer(input, return_tensors = "pt").to(model.device)
output = model.generate(**encoded_input, max_new_tokens=1024)
print(tokenizer.decode(output[0], skip_special_tokens=False))