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  license: gemma
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- # πŸš€ Nidum Gemma-3-4B IT Uncensored GGUF
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- Welcome to Nidum's Gemma-3-4B IT Uncensored, where creativity meets unrestricted AI experiences. This compact yet powerful model delivers uncensored, versatile interactions, optimized for efficient use across diverse hardware.
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- ## ✨ What Makes Nidum Gemma-3-4B IT Uncensored Special?
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- - **Open and Uncensored**: Explore a full range of topics and ideas without restrictions.
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- - **Compact and Powerful**: Efficiently runs on diverse hardware, delivering powerful interactions.
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- - **Versatile Use Cases**: Ideal for creative arts, virtual assistants, education, gaming, and entertainment.
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- ## πŸ“₯ GGUF Models Available
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- | Quantization | Description | Bits per Weight | Download Link |
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- |--------------|-------------|-----------------|------|
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- | **Q8_0** | Maximum accuracy and high performance | 8-bit | [model-Q8_0.gguf](model-Q8_0.gguf) |
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- | **Q6_K** | Balance between speed and accuracy | 6-bit | [model-Q6_K.gguf](model-Q6_K.gguf) |
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- | **Q5_K_M** | Good accuracy and efficient performance | 5-bit | [model-Q5_K_M.gguf](model-Q5_K_M.gguf) |
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- | **Q3_K_M** | Memory-efficient with good performance | 3-bit | [model-Q3_K_M.gguf](model-Q3_K_M.gguf) |
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- | **TQ2_0** | Ultra-fast inference, minimal memory use | 2-bit | [model-TQ2_0.gguf](model-TQ2_0.gguf) |
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- | **TQ1_0** | Maximum speed, smallest model footprint | 2-bit | [model-TQ1_0.gguf](model-TQ1_0.gguf) |
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- ## ✨ Versatile Applications
 
 
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- | Domain | Applications |
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- |---------------------------|--------------------------------------------------|
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- | **Creative Arts** | Short stories, scripts, poetry, ideas exploration |
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- | **Virtual Assistants** | Friendly, unrestricted conversations |
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- | **Educational Support** | Interactive lessons, open-ended Q&A |
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- | **Entertainment & Gaming** | Immersive storytelling, role-playing scenarios |
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  ---
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- ## πŸ“₯ Usage Example
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  ```python
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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  model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.float16)
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- prompt = "Tell me an imaginative story about space exploration."
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  input_ids = tokenizer(prompt, return_tensors="pt").input_ids
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  generated_ids = model.generate(input_ids, max_length=200)
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  output = tokenizer.decode(generated_ids[0], skip_special_tokens=True)
 
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  print(output)
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  ```
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  ---
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- ## πŸŽ‰ Your Creativity, Unleashed
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- Experience limitless AI creativity with **Nidum Gemma-3-4B IT Uncensored GGUF**. Discover the possibilities!
 
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  license: gemma
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+ # πŸš€ Nidum Gemma-3-4B IT Uncensored
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+ Welcome to Nidum's Gemma-3-4B IT Uncensored, your gateway to an open and unrestricted AI experience. This powerful model enables users to explore and innovate without boundaries.
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+ ## ✨ Why Choose Nidum Gemma-3-4B IT Uncensored?
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+ - **Unrestricted AI Interaction**: Freedom to discuss, explore, and innovate without content limitations.
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+ - **Efficient and Versatile**: Optimized performance suitable for various hardware configurations.
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+ - **Diverse Applications**: Perfect for creative projects, conversational AI, educational tools, and entertainment.
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+ ## πŸ“₯ Available Quantized Versions (GGUF)
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+ | Quantization | Description | Bits per Weight | Download |
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+ |--------------|-------------------------------------------|-----------------|---------------|
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+ | **Q8_0** | Best accuracy and performance | 8-bit | [model-Q8_0.gguf](https://huggingface.co/nidum/Nidum-Gemma-3-4B-IT-Uncensored-GGUF/resolve/main/model-Q8_0.gguf) |
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+ | **Q6_K** | Balance between speed and quality | 6-bit | [model-Q6_K.gguf](https://huggingface.co/nidum/Nidum-Gemma-3-4B-IT-Uncensored-GGUF/resolve/main/model-Q6_K.gguf) |
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+ | **Q5_K_M** | Good accuracy with lower memory usage | 5-bit | [model-Q5_K_M.gguf](https://huggingface.co/nidum/Nidum-Gemma-3-4B-IT-Uncensored-GGUF/resolve/main/model-Q5_K_M.gguf) |
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+ | **Q3_K_M** | Smaller footprint, good for limited resources | 3-bit | [model-Q3_K_M.gguf](https://huggingface.co/nidum/Nidum-Gemma-3-4B-IT-Uncensored-GGUF/resolve/main/model-Q3_K_M.gguf) |
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+ | **TQ2_0** | Very fast inference, minimal memory usage | 2-bit | [model-TQ2_0.gguf](https://huggingface.co/nidum/Nidum-Gemma-3-4B-IT-Uncensored-GGUF/resolve/main/model-TQ2_0.gguf) |
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+ | **TQ1_0** | Minimal memory usage, fastest inference | 2-bit | [model-TQ1_0.gguf](https://huggingface.co/nidum/Nidum-Gemma-3-4B-IT-Uncensored-GGUF/resolve/main/model-TQ1_0.gguf) |
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+ ---
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+
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+ ## πŸš€ Recommended Applications
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+ - **Creative Writing & Arts**: Generate stories, scripts, poetry, and explore creative ideas.
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+ - **Virtual Assistants**: Provide natural and unrestricted conversational experiences.
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+ - **Educational Resources**: Facilitate engaging, interactive learning environments.
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+ - **Entertainment & Gaming**: Create immersive narratives and interactive gameplay experiences.
 
 
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  ---
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+ ## πŸŽ‰ Example Usage
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  ```python
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  from transformers import AutoModelForCausalLM, AutoTokenizer
 
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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  model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.float16)
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+ prompt = "Tell me an imaginative story about a hidden city."
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  input_ids = tokenizer(prompt, return_tensors="pt").input_ids
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  generated_ids = model.generate(input_ids, max_length=200)
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  output = tokenizer.decode(generated_ids[0], skip_special_tokens=True)
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+
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  print(output)
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  ```
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  ---
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+ ## 🌟 Unlock Limitless Creativity
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+ Experience the freedom to innovate and explore without boundaries using **Nidum Gemma-3-4B IT Uncensored**.