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979-6/Nidum-Gemma-2B-Uncensored

979-6 Gemma 2.5B
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Response includes
  • classification m-uncensored
  • files 12
  • hub_downloads_all_time 245
  • providers 1
  • author_summary 1 models
  • readme_text full
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Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
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Downloads · lifetime
245
15 last 30d - cooling
Likes
0
Model age
5mo ago
created 2026-04-25
Available via
1 provider
featherless-ai
Downloads over time
Now251→from0↑0%
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Metadata

License
gemma
Tags
safetensors gemma legal chemistry medical text-generation-inference art finance uncensored text-generation conversational license:gemma
Total size
9.34 GB
Files
12
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-04-25 10:58

Files by quantization

Auxiliary files 12 files 9.36 GB
model-00002-of-00003.safetensors 4.64 GB 2b494c3e download
model-00001-of-00003.safetensors 4.57 GB eac1ab83 download
model-00003-of-00003.safetensors 128 MB bafc9903 download
tokenizer.json 16.7 MB 7da53ca2 download
tokenizer.model 4.04 MB 61a7b147 download
tokenizer_config.json 39.6 KB a94d9418 download
model.safetensors.index.json 13.2 KB 6487c51f download
README.md 3.41 KB 085c274d download
.gitattributes 1.53 KB 52373fe2 download
config.json 737 B e76bfc99 download
special_tokens_map.json 635 B c91faa8b download
generation_config.json 131 B 4640e1e2 download

README current version from Hugging Face


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:

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 [email protected].


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

README history 1 version

The author's README evolved over time. Click a version to see its content at that point.

  1. 2026-04-25Duplicate from osmapi/Nidum-Gemma-2B-Uncensored9497d043.4 KB
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