Ashishkr/Gemma-7B-COT-LoRA-1024R

from unsloth import FastLanguageModel
import torch


model, tokenizer = FastLanguageModel.from_pretrained(
    model_name = "Ashishkr/Gemma-7B-COT-LoRA-1024R",
    max_seq_length = max_seq_length,
    dtype = dtype,
    load_in_4bit = load_in_4bit,
)



FastLanguageModel.for_inference(model)
inputs = tokenizer(
[
    alpaca_prompt.format(
        "given a number identify if it is an even number, if its even,  square it and add 5 to it. if its odd , get me the square root of the number", # instruction
        "12", # input
        "", # output - leave this blank for generation!
    )
], return_tensors = "pt").to("cuda")

outputs = model.generate(**inputs, max_new_tokens = 2048, use_cache = True)
tokenizer.batch_decode(outputs)