Uploaded model

• Developed by: pmking27
• License: apache-2.0
• Finetuned from model : google/gemma-2b

This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.

Running Model:

# Importing necessary modules
from transformers import AutoModelForCausalLM, AutoTokenizer

# Setting the device to load the model onto (assuming GPU availability)
device = 'cuda'

# Loading the tokenizer for the model
tokenizer = AutoTokenizer.from_pretrained("pmking27/PrathameshLLM-2B")

# Loading the pre-trained model
model = AutoModelForCausalLM.from_pretrained("pmking27/PrathameshLLM-2B")

# Defining the Alpaca prompt template
alpaca_prompt = """
### Instruction:
{}

### Input:
{}

### Response:
{}"""

# Providing the input to the model
model_inputs = tokenizer(
[
    alpaca_prompt.format(
        '''
        You're an assistant trained to answer questions using the given context.
        
        context:

        General elections will be held in India from 19 April 2024 to 1 June 2024 to elect the 543 members of the 18th Lok Sabha. The elections will be held in seven phases and the results will be announced on 4 June 2024. This will be the largest-ever election in the world, surpassing the 2019 Indian general election, and will be the longest-held general elections in India with a total span of 44 days (excluding the first 1951–52 Indian general election). The incumbent prime minister Narendra Modi who completed a second term will be contesting elections for a third consecutive term.

        Approximately 960 million individuals out of a population of 1.4 billion are eligible to participate in the elections, which are expected to span a month for completion. The Legislative assembly elections in the states of Andhra Pradesh, Arunachal Pradesh, Odisha, and Sikkim will be held simultaneously with the general election, along with the by-elections for 35 seats among 16 states.
        ''', # instruction
        "भारतातील सार्वत्रिक निवडणुका किती टप्प्यात पार पडतील?", # input
        "", # output - leave this blank for generation!
    )
], return_tensors = "pt")

# Moving model inputs to the specified device
model_inputs.to(device)
model.to(device)

# Generating responses from the model
outputs = model.generate(**model_inputs, max_new_tokens=100)
decoded_output = tokenizer.batch_decode(outputs, skip_special_tokens=True)[0]

# Finding the start and end positions of the response
start_marker = "### Response:"
end_marker = "<eos>"
start_pos = decoded_output.find(start_marker) + len(start_marker)
end_pos = decoded_output.find(end_marker, start_pos)

# Extracting the response text
response_text = decoded_output[start_pos:end_pos].strip()

print(response_text)

Output:

भारतातील सार्वत्रिक निवडणुका 7 टप्प्यांमध्ये पार पडतील.