File size: 5,773 Bytes
e6b057a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 |
Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
gemma-2-27b-it-abliterated - GGUF
- Model creator: https://huggingface.co/byroneverson/
- Original model: https://huggingface.co/byroneverson/gemma-2-27b-it-abliterated/
| Name | Quant method | Size |
| ---- | ---- | ---- |
| [gemma-2-27b-it-abliterated.Q2_K.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q2_K.gguf) | Q2_K | 9.73GB |
| [gemma-2-27b-it-abliterated.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.IQ3_XS.gguf) | IQ3_XS | 10.76GB |
| [gemma-2-27b-it-abliterated.IQ3_S.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.IQ3_S.gguf) | IQ3_S | 11.33GB |
| [gemma-2-27b-it-abliterated.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q3_K_S.gguf) | Q3_K_S | 11.33GB |
| [gemma-2-27b-it-abliterated.IQ3_M.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.IQ3_M.gguf) | IQ3_M | 11.6GB |
| [gemma-2-27b-it-abliterated.Q3_K.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q3_K.gguf) | Q3_K | 12.5GB |
| [gemma-2-27b-it-abliterated.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q3_K_M.gguf) | Q3_K_M | 12.5GB |
| [gemma-2-27b-it-abliterated.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q3_K_L.gguf) | Q3_K_L | 13.52GB |
| [gemma-2-27b-it-abliterated.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.IQ4_XS.gguf) | IQ4_XS | 13.92GB |
| [gemma-2-27b-it-abliterated.Q4_0.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q4_0.gguf) | Q4_0 | 14.56GB |
| [gemma-2-27b-it-abliterated.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.IQ4_NL.gguf) | IQ4_NL | 14.65GB |
| [gemma-2-27b-it-abliterated.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q4_K_S.gguf) | Q4_K_S | 14.66GB |
| [gemma-2-27b-it-abliterated.Q4_K.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q4_K.gguf) | Q4_K | 15.5GB |
| [gemma-2-27b-it-abliterated.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q4_K_M.gguf) | Q4_K_M | 15.5GB |
| [gemma-2-27b-it-abliterated.Q4_1.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q4_1.gguf) | Q4_1 | 16.07GB |
| [gemma-2-27b-it-abliterated.Q5_0.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q5_0.gguf) | Q5_0 | 17.59GB |
| [gemma-2-27b-it-abliterated.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q5_K_S.gguf) | Q5_K_S | 17.59GB |
| [gemma-2-27b-it-abliterated.Q5_K.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q5_K.gguf) | Q5_K | 18.08GB |
| [gemma-2-27b-it-abliterated.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q5_K_M.gguf) | Q5_K_M | 18.08GB |
| [gemma-2-27b-it-abliterated.Q5_1.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q5_1.gguf) | Q5_1 | 19.1GB |
| [gemma-2-27b-it-abliterated.Q6_K.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q6_K.gguf) | Q6_K | 20.81GB |
| [gemma-2-27b-it-abliterated.Q8_0.gguf](https://huggingface.co/RichardErkhov/byroneverson_-_gemma-2-27b-it-abliterated-gguf/blob/main/gemma-2-27b-it-abliterated.Q8_0.gguf) | Q8_0 | 26.95GB |
Original model description:
---
base_model: google/gemma-2-27b-it
pipeline_tag: text-generation
license: gemma
language:
- en
tags:
- gemma
- gemma-2
- chat
- it
- abliterated
library_name: transformers
---
# gemma-2-27b-it-abliterated
## Now accepting abliteration requests. If you would like to see a model abliterated, follow me and leave me a message with model link.
This is a new approach for abliterating models using CPU only. I was able to abliterate this model using free kaggle processing with no accelerator.
1. Obtain refusal direction vector using a quant model with llama.cpp (llama-cpp-python and ggml-python).
2. Orthogonalize each .safetensors files directly from original repo and upload to a new repo. (one at a time)
Check out the <a href="https://huggingface.co/byroneverson/gemma-2-27b-it-abliterated/blob/main/abliterate-gemma-2-27b-it.ipynb">jupyter notebook</a> for details of how this model was abliterated from gemma-2-27b-it.
|