File size: 3,711 Bytes
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base_model: llmfan46/Tower-Plus-72B-ultra-uncensored-heretic
language:
- de
- nl
- is
- es
- fr
- pt
- uk
- hi
- zh
- ru
- cs
- ko
- ja
- it
- en
- da
- pl
- hu
- sv
- no
- ro
- fi
library_name: transformers
license: cc-by-nc-sa-4.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- heretic
- uncensored
- decensored
- abliterated
- mpoa
- visual novels
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
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<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S -->
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<!-- ### skip_mmproj: -->
weighted/imatrix quants of https://huggingface.co/llmfan46/Tower-Plus-72B-ultra-uncensored-heretic
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***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Tower-Plus-72B-ultra-uncensored-heretic-i1-GGUF).***
static quants are available at https://huggingface.co/mradermacher/Tower-Plus-72B-ultra-uncensored-heretic-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/Tower-Plus-72B-ultra-uncensored-heretic-i1-GGUF/resolve/main/Tower-Plus-72B-ultra-uncensored-heretic.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |
| [GGUF](https://huggingface.co/mradermacher/Tower-Plus-72B-ultra-uncensored-heretic-i1-GGUF/resolve/main/Tower-Plus-72B-ultra-uncensored-heretic.i1-Q2_K.gguf) | i1-Q2_K | 29.9 | IQ3_XXS probably better |
| [GGUF](https://huggingface.co/mradermacher/Tower-Plus-72B-ultra-uncensored-heretic-i1-GGUF/resolve/main/Tower-Plus-72B-ultra-uncensored-heretic.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 31.9 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Tower-Plus-72B-ultra-uncensored-heretic-i1-GGUF/resolve/main/Tower-Plus-72B-ultra-uncensored-heretic.i1-IQ3_M.gguf) | i1-IQ3_M | 35.6 | |
| [GGUF](https://huggingface.co/mradermacher/Tower-Plus-72B-ultra-uncensored-heretic-i1-GGUF/resolve/main/Tower-Plus-72B-ultra-uncensored-heretic.i1-Q3_K_M.gguf) | i1-Q3_K_M | 37.8 | IQ3_S probably better |
| [GGUF](https://huggingface.co/mradermacher/Tower-Plus-72B-ultra-uncensored-heretic-i1-GGUF/resolve/main/Tower-Plus-72B-ultra-uncensored-heretic.i1-Q4_K_S.gguf) | i1-Q4_K_S | 44.0 | optimal size/speed/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. 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.
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