huihui-ai/Huihui-Laguna-S-2.1-abliterated-GGUF overview
huihui ai/Huihui Laguna S 2.1 abliterated GGUF This is an uncensored version of poolside/Laguna S 2.1 https://huggingface.co/poolside/Laguna S 2.1 created with…
Runs locally from ~49.52 GB disk (32 GB+ VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
Model Details
| Model ID | huihui-ai/Huihui-Laguna-S-2.1-abliterated-GGUF |
|---|---|
| Author | huihui-ai |
| Pipeline | text-generation |
| License | openmdw-1.1 |
| Base model | poolside/Laguna-S-2.1 |
| Last modified | 2026-08-02T09:44:13.000Z |
Model README
---
language:
- en
library_name: transformers
inference: false
extra_gated_description: >-
To learn more about how we process your personal data, please read our <a
href="https://poolside.ai/legal/privacy">Privacy Policy</a>.
license: openmdw-1.1
pipeline_tag: text-generation
base_model:
- poolside/Laguna-S-2.1
tags:
- laguna-s-2.1
- unsloth
- abliterated
- uncensored
- GGUF
- huihui
extra_gated_prompt: >-
Usage Warnings
“Risk of Sensitive or Controversial Outputs“: This model’s safety
filtering has been significantly reduced, potentially generating sensitive,
controversial, or inappropriate content. Users should exercise caution and
rigorously review generated outputs.
“Not Suitable for All Audiences:“ Due to limited content filtering, the
model’s outputs may be inappropriate for public settings, underage users, or
applications requiring high security.
“Legal and Ethical Responsibilities“: Users must ensure their usage
complies with local laws and ethical standards. Generated content may carry
legal or ethical risks, and users are solely responsible for any consequences.
“Research and Experimental Use“: It is recommended to use this model for
research, testing, or controlled environments, avoiding direct use in
production or public-facing commercial applications.
“Monitoring and Review Recommendations“: Users are strongly advised to
monitor model outputs in real-time and conduct manual reviews when necessary
to prevent the dissemination of inappropriate content.
“No Default Safety Guarantees“: Unlike standard models, this model has not
undergone rigorous safety optimization. huihui.ai bears no responsibility for
any consequences arising from its use.
---
huihui-ai/Huihui-Laguna-S-2.1-abliterated-GGUF
This is an uncensored version of poolside/Laguna-S-2.1 created with abliteration (see remove-refusals-with-transformers to know more about it).
This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.
Note This is an English language model, and support for other languages is not very good.
These GGUFs support llama.cpp and ds4.
llama.cpp
Use the latest llama.cpp,
llama-cli -m huihui-ai/Huihui-Laguna-S-2.1-abliterated-GGUF/Laguna-S-2.1-abliterated-Q4_K.gguf -c 262144
ds4
Use the latest ds4,
./ds4 -m huihui-ai/Huihui-Laguna-S-2.1-abliterated-GGUF/Laguna-S-2.1-abliterated-Q4_K.gguf --ctx 32768
Usage Warnings
- Risk of Sensitive or Controversial Outputs: This model’s safety filtering has been significantly reduced, potentially generating sensitive, controversial, or inappropriate content. Users should exercise caution and rigorously review generated outputs.
- Not Suitable for All Audiences: Due to limited content filtering, the model’s outputs may be inappropriate for public settings, underage users, or applications requiring high security.
- Legal and Ethical Responsibilities: Users must ensure their usage complies with local laws and ethical standards. Generated content may carry legal or ethical risks, and users are solely responsible for any consequences.
- Research and Experimental Use: It is recommended to use this model for research, testing, or controlled environments, avoiding direct use in production or public-facing commercial applications.
- Monitoring and Review Recommendations: Users are strongly advised to monitor model outputs in real-time and conduct manual reviews when necessary to prevent the dissemination of inappropriate content.
- No Default Safety Guarantees: Unlike standard models, this model has not undergone rigorous safety optimization. huihui.ai bears no responsibility for any consequences arising from its use.
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