--- base_model: huihui-ai/Homunculus-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 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - distillation - /think - /nothink - reasoning-transfer - arcee-ai - chat - abliterated - uncensored --- ## About weighted/imatrix quants of https://huggingface.co/huihui-ai/Homunculus-abliterated ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Homunculus-abliterated-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/Homunculus-abliterated-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/Homunculus-abliterated-i1-GGUF/resolve/main/Homunculus-abliterated.i1-IQ1_S.gguf) | i1-IQ1_S | 3.2 | for the desperate | | [GGUF](https://huggingface.co/mradermacher/Homunculus-abliterated-i1-GGUF/resolve/main/Homunculus-abliterated.i1-IQ1_M.gguf) | i1-IQ1_M | 3.4 | mostly desperate | | [GGUF](https://huggingface.co/mradermacher/Homunculus-abliterated-i1-GGUF/resolve/main/Homunculus-abliterated.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 3.8 | | | [GGUF](https://huggingface.co/mradermacher/Homunculus-abliterated-i1-GGUF/resolve/main/Homunculus-abliterated.i1-IQ2_XS.gguf) | i1-IQ2_XS | 4.1 | | | [GGUF](https://huggingface.co/mradermacher/Homunculus-abliterated-i1-GGUF/resolve/main/Homunculus-abliterated.i1-IQ2_S.gguf) | i1-IQ2_S | 4.4 | | | [GGUF](https://huggingface.co/mradermacher/Homunculus-abliterated-i1-GGUF/resolve/main/Homunculus-abliterated.i1-IQ2_M.gguf) | i1-IQ2_M | 4.7 | | | [GGUF](https://huggingface.co/mradermacher/Homunculus-abliterated-i1-GGUF/resolve/main/Homunculus-abliterated.i1-Q2_K_S.gguf) | i1-Q2_K_S | 4.7 | very low quality | | [GGUF](https://huggingface.co/mradermacher/Homunculus-abliterated-i1-GGUF/resolve/main/Homunculus-abliterated.i1-Q2_K.gguf) | i1-Q2_K | 5.0 | IQ3_XXS probably better | | [GGUF](https://huggingface.co/mradermacher/Homunculus-abliterated-i1-GGUF/resolve/main/Homunculus-abliterated.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 5.2 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Homunculus-abliterated-i1-GGUF/resolve/main/Homunculus-abliterated.i1-IQ3_XS.gguf) | i1-IQ3_XS | 5.5 | | | [GGUF](https://huggingface.co/mradermacher/Homunculus-abliterated-i1-GGUF/resolve/main/Homunculus-abliterated.i1-Q3_K_S.gguf) | i1-Q3_K_S | 5.8 | IQ3_XS probably better | | [GGUF](https://huggingface.co/mradermacher/Homunculus-abliterated-i1-GGUF/resolve/main/Homunculus-abliterated.i1-IQ3_S.gguf) | i1-IQ3_S | 5.8 | beats Q3_K* | | [GGUF](https://huggingface.co/mradermacher/Homunculus-abliterated-i1-GGUF/resolve/main/Homunculus-abliterated.i1-IQ3_M.gguf) | i1-IQ3_M | 6.0 | | | [GGUF](https://huggingface.co/mradermacher/Homunculus-abliterated-i1-GGUF/resolve/main/Homunculus-abliterated.i1-Q3_K_M.gguf) | i1-Q3_K_M | 6.3 | IQ3_S probably better | | [GGUF](https://huggingface.co/mradermacher/Homunculus-abliterated-i1-GGUF/resolve/main/Homunculus-abliterated.i1-Q3_K_L.gguf) | i1-Q3_K_L | 6.8 | IQ3_M probably better | | [GGUF](https://huggingface.co/mradermacher/Homunculus-abliterated-i1-GGUF/resolve/main/Homunculus-abliterated.i1-IQ4_XS.gguf) | i1-IQ4_XS | 7.0 | | | [GGUF](https://huggingface.co/mradermacher/Homunculus-abliterated-i1-GGUF/resolve/main/Homunculus-abliterated.i1-Q4_0.gguf) | i1-Q4_0 | 7.3 | fast, low quality | | [GGUF](https://huggingface.co/mradermacher/Homunculus-abliterated-i1-GGUF/resolve/main/Homunculus-abliterated.i1-IQ4_NL.gguf) | i1-IQ4_NL | 7.3 | prefer IQ4_XS | | [GGUF](https://huggingface.co/mradermacher/Homunculus-abliterated-i1-GGUF/resolve/main/Homunculus-abliterated.i1-Q4_K_S.gguf) | i1-Q4_K_S | 7.4 | optimal size/speed/quality | | [GGUF](https://huggingface.co/mradermacher/Homunculus-abliterated-i1-GGUF/resolve/main/Homunculus-abliterated.i1-Q4_K_M.gguf) | i1-Q4_K_M | 7.7 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Homunculus-abliterated-i1-GGUF/resolve/main/Homunculus-abliterated.i1-Q4_1.gguf) | i1-Q4_1 | 8.0 | | | [GGUF](https://huggingface.co/mradermacher/Homunculus-abliterated-i1-GGUF/resolve/main/Homunculus-abliterated.i1-Q5_K_S.gguf) | i1-Q5_K_S | 8.8 | | | [GGUF](https://huggingface.co/mradermacher/Homunculus-abliterated-i1-GGUF/resolve/main/Homunculus-abliterated.i1-Q5_K_M.gguf) | i1-Q5_K_M | 9.0 | | | [GGUF](https://huggingface.co/mradermacher/Homunculus-abliterated-i1-GGUF/resolve/main/Homunculus-abliterated.i1-Q6_K.gguf) | i1-Q6_K | 10.3 | practically like static Q6_K | Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better): ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png) 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. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.