初始化项目,由ModelHub XC社区提供模型
Model: 979-6/Nidum-Gemma-2B-Uncensored Source: Original Platform
This commit is contained in:
81
README.md
Normal file
81
README.md
Normal file
@@ -0,0 +1,81 @@
|
||||
---
|
||||
license: gemma
|
||||
tags:
|
||||
- legal
|
||||
- chemistry
|
||||
- medical
|
||||
- text-generation-inference
|
||||
- art
|
||||
- finance
|
||||
- uncensored
|
||||
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
|
||||
---
|
||||
Reference in New Issue
Block a user