Quantization made by Richard Erkhov.

[Github](https://github.com/RichardErkhov)

[Discord](https://discord.gg/pvy7H8DZMG)

[Request more models](https://github.com/RichardErkhov/quant_request)


Nidum-Limitless-Gemma-2B - GGUF
- Model creator: https://huggingface.co/nidum/
- Original model: https://huggingface.co/nidum/Nidum-Limitless-Gemma-2B/


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [Nidum-Limitless-Gemma-2B.Q2_K.gguf](https://huggingface.co/RichardErkhov/nidum_-_Nidum-Limitless-Gemma-2B-gguf/blob/main/Nidum-Limitless-Gemma-2B.Q2_K.gguf) | Q2_K | 1.08GB |
| [Nidum-Limitless-Gemma-2B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/nidum_-_Nidum-Limitless-Gemma-2B-gguf/blob/main/Nidum-Limitless-Gemma-2B.IQ3_XS.gguf) | IQ3_XS | 1.16GB |
| [Nidum-Limitless-Gemma-2B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/nidum_-_Nidum-Limitless-Gemma-2B-gguf/blob/main/Nidum-Limitless-Gemma-2B.IQ3_S.gguf) | IQ3_S | 1.2GB |
| [Nidum-Limitless-Gemma-2B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/nidum_-_Nidum-Limitless-Gemma-2B-gguf/blob/main/Nidum-Limitless-Gemma-2B.Q3_K_S.gguf) | Q3_K_S | 1.2GB |
| [Nidum-Limitless-Gemma-2B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/nidum_-_Nidum-Limitless-Gemma-2B-gguf/blob/main/Nidum-Limitless-Gemma-2B.IQ3_M.gguf) | IQ3_M | 1.22GB |
| [Nidum-Limitless-Gemma-2B.Q3_K.gguf](https://huggingface.co/RichardErkhov/nidum_-_Nidum-Limitless-Gemma-2B-gguf/blob/main/Nidum-Limitless-Gemma-2B.Q3_K.gguf) | Q3_K | 1.29GB |
| [Nidum-Limitless-Gemma-2B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/nidum_-_Nidum-Limitless-Gemma-2B-gguf/blob/main/Nidum-Limitless-Gemma-2B.Q3_K_M.gguf) | Q3_K_M | 1.29GB |
| [Nidum-Limitless-Gemma-2B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/nidum_-_Nidum-Limitless-Gemma-2B-gguf/blob/main/Nidum-Limitless-Gemma-2B.Q3_K_L.gguf) | Q3_K_L | 1.36GB |
| [Nidum-Limitless-Gemma-2B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/nidum_-_Nidum-Limitless-Gemma-2B-gguf/blob/main/Nidum-Limitless-Gemma-2B.IQ4_XS.gguf) | IQ4_XS | 1.4GB |
| [Nidum-Limitless-Gemma-2B.Q4_0.gguf](https://huggingface.co/RichardErkhov/nidum_-_Nidum-Limitless-Gemma-2B-gguf/blob/main/Nidum-Limitless-Gemma-2B.Q4_0.gguf) | Q4_0 | 1.44GB |
| [Nidum-Limitless-Gemma-2B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/nidum_-_Nidum-Limitless-Gemma-2B-gguf/blob/main/Nidum-Limitless-Gemma-2B.IQ4_NL.gguf) | IQ4_NL | 1.45GB |
| [Nidum-Limitless-Gemma-2B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/nidum_-_Nidum-Limitless-Gemma-2B-gguf/blob/main/Nidum-Limitless-Gemma-2B.Q4_K_S.gguf) | Q4_K_S | 1.45GB |
| [Nidum-Limitless-Gemma-2B.Q4_K.gguf](https://huggingface.co/RichardErkhov/nidum_-_Nidum-Limitless-Gemma-2B-gguf/blob/main/Nidum-Limitless-Gemma-2B.Q4_K.gguf) | Q4_K | 1.52GB |
| [Nidum-Limitless-Gemma-2B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/nidum_-_Nidum-Limitless-Gemma-2B-gguf/blob/main/Nidum-Limitless-Gemma-2B.Q4_K_M.gguf) | Q4_K_M | 1.52GB |
| [Nidum-Limitless-Gemma-2B.Q4_1.gguf](https://huggingface.co/RichardErkhov/nidum_-_Nidum-Limitless-Gemma-2B-gguf/blob/main/Nidum-Limitless-Gemma-2B.Q4_1.gguf) | Q4_1 | 1.56GB |
| [Nidum-Limitless-Gemma-2B.Q5_0.gguf](https://huggingface.co/RichardErkhov/nidum_-_Nidum-Limitless-Gemma-2B-gguf/blob/main/Nidum-Limitless-Gemma-2B.Q5_0.gguf) | Q5_0 | 1.68GB |
| [Nidum-Limitless-Gemma-2B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/nidum_-_Nidum-Limitless-Gemma-2B-gguf/blob/main/Nidum-Limitless-Gemma-2B.Q5_K_S.gguf) | Q5_K_S | 1.68GB |
| [Nidum-Limitless-Gemma-2B.Q5_K.gguf](https://huggingface.co/RichardErkhov/nidum_-_Nidum-Limitless-Gemma-2B-gguf/blob/main/Nidum-Limitless-Gemma-2B.Q5_K.gguf) | Q5_K | 1.71GB |
| [Nidum-Limitless-Gemma-2B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/nidum_-_Nidum-Limitless-Gemma-2B-gguf/blob/main/Nidum-Limitless-Gemma-2B.Q5_K_M.gguf) | Q5_K_M | 1.71GB |
| [Nidum-Limitless-Gemma-2B.Q5_1.gguf](https://huggingface.co/RichardErkhov/nidum_-_Nidum-Limitless-Gemma-2B-gguf/blob/main/Nidum-Limitless-Gemma-2B.Q5_1.gguf) | Q5_1 | 1.79GB |
| [Nidum-Limitless-Gemma-2B.Q6_K.gguf](https://huggingface.co/RichardErkhov/nidum_-_Nidum-Limitless-Gemma-2B-gguf/blob/main/Nidum-Limitless-Gemma-2B.Q6_K.gguf) | Q6_K | 1.92GB |
| [Nidum-Limitless-Gemma-2B.Q8_0.gguf](https://huggingface.co/RichardErkhov/nidum_-_Nidum-Limitless-Gemma-2B-gguf/blob/main/Nidum-Limitless-Gemma-2B.Q8_0.gguf) | Q8_0 | 2.49GB |




Original model description:
---
license: apache-2.0
tags:
- legal
- chemistry
- medical
- text-generation-inference
- art
- finance
pipeline_tag: text-generation
---
# Nidum-Limitless-Gemma-2B LLM

Welcome to the repository for Nidum-Limitless-Gemma-2B, an advanced language model that provides unrestricted and versatile responses across a wide range of topics. Unlike conventional models, Nidum-Limitless-Gemma-2B is designed to handle any type of question and deliver comprehensive answers without content restrictions.

## Key Features:
- **Unrestricted Responses:** Address any query with detailed, unrestricted responses, providing a broad spectrum of information and insights.
- **Versatility:** Capable of engaging with a diverse range of topics, from complex scientific questions to casual conversation.
- **Advanced Understanding:** Leverages a vast knowledge base to deliver contextually relevant and accurate outputs across various domains.
- **Customizability:** Adaptable to specific user needs and preferences for different types of interactions.

## Use Cases:
- Open-Ended Q&A
- Creative Writing and Ideation
- Research Assistance
- Educational and Informational Queries
- Casual Conversations and Entertainment

## How to Use:

To get started with Nidum-Limitless-Gemma-2B, you can use the following sample code for testing:

```python
import torch
from transformers import pipeline

pipe = pipeline(
    "text-generation",
    model="nidum/Nidum-Limitless-Gemma-2B",
    model_kwargs={"torch_dtype": torch.bfloat16},
    device="cuda",  # replace with "mps" to run on a Mac device
)

messages = [
    {"role": "user", "content": "who are you"},
]

outputs = pipe(messages, max_new_tokens=256)
assistant_response = outputs[0]["generated_text"][-1]["content"].strip()
print(assistant_response)
```

## Release Date:
Nidum-Limitless-Gemma-2B is now officially available. Explore its capabilities and experience the freedom of unrestricted responses.

## Contributing:
We welcome contributions to enhance the model or expand its functionalities. Details on how to contribute will be available in the coming updates.

## Quantized Model Versions

To accommodate different hardware configurations and performance needs, Nidum-Limitless-Gemma-2B-GGUF is available in multiple quantized versions:

| Model Version                                  | Description                                           |
|------------------------------------------------|-------------------------------------------------------|
| **Nidum-Limitless-Gemma-2B-Q2_K.gguf**         | Optimized for minimal memory usage with lower precision. Suitable for resource-constrained environments. |
| **Nidum-Limitless-Gemma-2B-Q4_K_M.gguf**       | Balances performance and precision, offering faster inference with moderate memory usage. |
| **Nidum-Limitless-Gemma-2B-Q8_0.gguf**         | Provides higher precision with increased memory usage, suitable for tasks requiring more accuracy. |
| **Nidum-Limitless-Gemma-2B-F16.gguf**          | Full 16-bit floating point precision for maximum accuracy, ideal for high-end GPUs. |

It is available here: https://huggingface.co/nidum/Nidum-Limitless-Gemma-2B-GGUF

## Contact:
For any inquiries or further information, please contact us at **info@nidum.ai**.

---

Dive into limitless possibilities with Nidum-Limitless-Gemma-2B!

Special Thanks to @cognitivecomputations for inspiring us and scouting the best datasets that we could round up to make a rockstar model for you
---