README.md

---
license: creativeml-openrail-m
pipeline_tag: text-generation
library_name: transformers
language:
- en
base_model:
- meta-llama/Llama-3.2-3B-Instruct
tags:
- codepy
- safetensors
- llama
- ollama
- llama-cpp
- trl
- deep-think
---
# Codepy 3B Deep Think Model File

The **Codepy 3B Deep Think Model** is a fine-tuned version of the **meta-llama/Llama-3.2-3B-Instruct** base model, designed for text generation tasks that require deep reasoning, logical structuring, and problem-solving. This model leverages its optimized architecture to provide accurate and contextually relevant outputs for complex queries, making it ideal for applications in education, programming, and creative writing. 

With its robust natural language processing capabilities, **Codepy 3B Deep Think** excels in generating step-by-step solutions, creative content, and logical analyses. Its architecture integrates advanced understanding of both structured and unstructured data, ensuring precise text generation aligned with user inputs. 

| **File Name**                     | **Size**       | **Description**                                 | **Upload Status** |
|-----------------------------------|----------------|------------------------------------------------|-------------------|
| `.gitattributes`                  | 1.57 kB        | Git LFS configuration for large files.          | Uploaded          |
| `README.md`                       | 221 Bytes      | Basic repository information.                   | Updated           |
| `config.json`                     | 994 Bytes      | Model configuration with architectural details. | Uploaded          |
| `generation_config.json`          | 248 Bytes      | Default generation parameters.                  | Uploaded          |
| `pytorch_model-00001-of-00002.bin`| 4.97 GB        | Sharded PyTorch model weights (part 1 of 2).    | Uploaded (LFS)    |
| `pytorch_model-00002-of-00002.bin`| 1.46 GB        | Sharded PyTorch model weights (part 2 of 2).    | Uploaded (LFS)    |
| `pytorch_model.bin.index.json`    | 21.2 kB        | Index file mapping model shards.                | Uploaded          |
| `special_tokens_map.json`         | 477 Bytes      | Maps special tokens to their respective IDs.    | Uploaded          |
| `tokenizer.json`                  | 17.2 MB        | Full tokenizer vocabulary and merges.           | Uploaded (LFS)    |
| `tokenizer_config.json`           | 57.5 kB        | Tokenizer configuration details.                | Uploaded          |

| Model Type | Size | Context Length | Link |
|------------|------|----------------|------|
| GGUF | 3B | - | [🤗 Codepy-Deepthink-3B-GGUF](https://huggingface.co/prithivMLmods/Codepy-Deepthink-3B-GGUF) |

---

# <span style="color:red;">Sample Deepthink Inference</span>

```markdown
# Random Password Generator

This Python program generates a random password of a specified length (default: 8 characters) that includes a mix of lowercase letters, uppercase letters, digits, and spaces. The program ensures the generated password meets basic security requirements while maintaining simplicity.

## Features
- Generates alphanumeric passwords with optional spaces.
- Ensures at least one lowercase letter, one uppercase letter, one digit, and one space in the password.
- Shuffles the characters to randomize the order.
- Includes error handling for invalid input lengths.

## Requirements
- Python 3.x

## Usage
1. Clone or download this repository.
2. Run the script using Python:

   ```bash
   python password_generator.py
   ```

3. The script will generate and print an 8-character random password to the console.

## Code

```python
import random

def generate_password(length):
    """
    Generates a random alphanumeric password of the specified length.

    Ensures that at least one lowercase letter, one uppercase letter,
    one digit, and one space are included in the password.

    Args:
        length: The number of characters in the password.

    Returns:
        A string representing the generated password or None if the input is invalid.
    """

    # Define a set of alphanumeric characters with spaces
    characters = 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789 '

    # Validate the length
    if length < 1:
        return None

    # Handle invalid length
    if length > len(characters):
        print("Invalid password length. It should be less than or equal to", len(characters))
        return None

    # Ensure at least one character from each required group
    required_characters = 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789 '
    if length > 1:
        password_length_without_requirements = length - 4
        random_string = ''.join(random.choice(required_characters) for _ in range(password_length_without_requirements))

    # Fill the rest of the password with random characters
    remaining_chars_needed = length - len(random_string)
    all_possible_chars = list(characters)
    if length > 1:
        random_character = random.choice('abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789 ')
    else:
        random_character = random.choice('abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789 ')

    password = random_string + random_character * remaining_chars_needed

    # Shuffle the password to avoid predictable patterns
    password_list = list(password)
    random.shuffle(password_list)
    password = ''.join(password_list)

    return password

# Example Usage
password_length = 8
generated_password = generate_password(password_length)

if generated_password is not None:
    print(f"Generated Password: {generated_password}")
else:
    print("Failed to generate a password. Please ensure the length is valid (between 1 and", len(characters), ").")
```

## Example Output
```
Generated Password: g7x 2PqA
```

## Customization
To customize the password length, modify the `password_length` variable in the script.

## Security Notes
- This implementation uses Python's `random` module, which is suitable for general-purpose randomness. For cryptographically secure passwords, consider using the `secrets` module.
- The character set includes spaces for additional complexity, but you can modify the `characters` string to include other symbols (e.g., `!@#$%^&*`).