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---
base_model: huihui-ai/AM-Thinking-v1-abliterated
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.
language:
- en
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
tags:
- chat
- abliterated
- uncensored
---
## About
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static quants of https://huggingface.co/huihui-ai/AM-Thinking-v1-abliterated
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/AM-Thinking-v1-abliterated-i1-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
more details, including on how to concatenate multi-part files.
## Provided Quants
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
| Link | Type | Size/GB | Notes |
|:-----|:-----|--------:|:------|
| [GGUF](https://huggingface.co/mradermacher/AM-Thinking-v1-abliterated-GGUF/resolve/main/AM-Thinking-v1-abliterated.Q2_K.gguf) | Q2_K | 12.4 | |
| [GGUF](https://huggingface.co/mradermacher/AM-Thinking-v1-abliterated-GGUF/resolve/main/AM-Thinking-v1-abliterated.Q3_K_S.gguf) | Q3_K_S | 14.5 | |
| [GGUF](https://huggingface.co/mradermacher/AM-Thinking-v1-abliterated-GGUF/resolve/main/AM-Thinking-v1-abliterated.Q3_K_M.gguf) | Q3_K_M | 16.0 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/AM-Thinking-v1-abliterated-GGUF/resolve/main/AM-Thinking-v1-abliterated.Q3_K_L.gguf) | Q3_K_L | 17.3 | |
| [GGUF](https://huggingface.co/mradermacher/AM-Thinking-v1-abliterated-GGUF/resolve/main/AM-Thinking-v1-abliterated.IQ4_XS.gguf) | IQ4_XS | 18.0 | |
| [GGUF](https://huggingface.co/mradermacher/AM-Thinking-v1-abliterated-GGUF/resolve/main/AM-Thinking-v1-abliterated.Q4_K_S.gguf) | Q4_K_S | 18.9 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/AM-Thinking-v1-abliterated-GGUF/resolve/main/AM-Thinking-v1-abliterated.Q4_K_M.gguf) | Q4_K_M | 20.0 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/AM-Thinking-v1-abliterated-GGUF/resolve/main/AM-Thinking-v1-abliterated.Q5_K_S.gguf) | Q5_K_S | 22.7 | |
| [GGUF](https://huggingface.co/mradermacher/AM-Thinking-v1-abliterated-GGUF/resolve/main/AM-Thinking-v1-abliterated.Q5_K_M.gguf) | Q5_K_M | 23.4 | |
| [GGUF](https://huggingface.co/mradermacher/AM-Thinking-v1-abliterated-GGUF/resolve/main/AM-Thinking-v1-abliterated.Q6_K.gguf) | Q6_K | 27.0 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/AM-Thinking-v1-abliterated-GGUF/resolve/main/AM-Thinking-v1-abliterated.Q8_0.gguf) | Q8_0 | 34.9 | fast, best quality |
Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):
And here are Artefact2's thoughts on the matter:
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
## FAQ / Model Request
See https://huggingface.co/mradermacher/model_requests for some answers to
questions you might have and/or if you want some other model quantized.
## Thanks
I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time.
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