File size: 5,576 Bytes
aee1e4d 61e3053 1377b05 aee1e4d 1377b05 aee1e4d 9573e20 45304c3 aee1e4d c173c3e 9573e20 aee1e4d 4cd3408 aee1e4d 9d314bf 2055ab3 9d314bf 2055ab3 9d314bf 2055ab3 9d314bf 2055ab3 9eb2118 9d314bf aee1e4d d2c80d8 4cd3408 d2c80d8 4cd3408 0afe4e7 61e3053 ca08411 aee1e4d |
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 |
---
base_model: ibivibiv/orthorus-125b-moe
language:
- en
library_name: transformers
license: llama2
quantized_by: mradermacher
tags:
- moe
---
## About
static quants of https://huggingface.co/ibivibiv/orthorus-125b-moe
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/orthorus-125b-moe-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/orthorus-125b-moe-GGUF/resolve/main/orthorus-125b-moe.Q2_K.gguf) | Q2_K | 46.8 | |
| [PART 1](https://huggingface.co/mradermacher/orthorus-125b-moe-GGUF/resolve/main/orthorus-125b-moe.IQ3_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/orthorus-125b-moe-GGUF/resolve/main/orthorus-125b-moe.IQ3_XS.gguf.part2of2) | IQ3_XS | 51.3 | |
| [PART 1](https://huggingface.co/mradermacher/orthorus-125b-moe-GGUF/resolve/main/orthorus-125b-moe.Q3_K_XS.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/orthorus-125b-moe-GGUF/resolve/main/orthorus-125b-moe.Q3_K_XS.gguf.split-ab) | Q3_K_XS | 51.6 | |
| [PART 1](https://huggingface.co/mradermacher/orthorus-125b-moe-GGUF/resolve/main/orthorus-125b-moe.IQ3_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/orthorus-125b-moe-GGUF/resolve/main/orthorus-125b-moe.IQ3_S.gguf.part2of2) | IQ3_S | 54.2 | beats Q3_K* |
| [PART 1](https://huggingface.co/mradermacher/orthorus-125b-moe-GGUF/resolve/main/orthorus-125b-moe.Q3_K_S.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/orthorus-125b-moe-GGUF/resolve/main/orthorus-125b-moe.Q3_K_S.gguf.split-ab) | Q3_K_S | 55.1 | |
| [PART 1](https://huggingface.co/mradermacher/orthorus-125b-moe-GGUF/resolve/main/orthorus-125b-moe.IQ3_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/orthorus-125b-moe-GGUF/resolve/main/orthorus-125b-moe.IQ3_M.gguf.part2of2) | IQ3_M | 55.6 | |
| [PART 1](https://huggingface.co/mradermacher/orthorus-125b-moe-GGUF/resolve/main/orthorus-125b-moe.Q3_K_M.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/orthorus-125b-moe-GGUF/resolve/main/orthorus-125b-moe.Q3_K_M.gguf.split-ab) | Q3_K_M | 61.1 | lower quality |
| [PART 1](https://huggingface.co/mradermacher/orthorus-125b-moe-GGUF/resolve/main/orthorus-125b-moe.Q3_K_L.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/orthorus-125b-moe-GGUF/resolve/main/orthorus-125b-moe.Q3_K_L.gguf.split-ab) | Q3_K_L | 66.1 | |
| [PART 1](https://huggingface.co/mradermacher/orthorus-125b-moe-GGUF/resolve/main/orthorus-125b-moe.IQ4_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/orthorus-125b-moe-GGUF/resolve/main/orthorus-125b-moe.IQ4_XS.gguf.part2of2) | IQ4_XS | 67.6 | |
| [PART 1](https://huggingface.co/mradermacher/orthorus-125b-moe-GGUF/resolve/main/orthorus-125b-moe.Q4_K_S.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/orthorus-125b-moe-GGUF/resolve/main/orthorus-125b-moe.Q4_K_S.gguf.split-ab) | Q4_K_S | 72.2 | fast, recommended |
| [PART 1](https://huggingface.co/mradermacher/orthorus-125b-moe-GGUF/resolve/main/orthorus-125b-moe.Q4_K_M.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/orthorus-125b-moe-GGUF/resolve/main/orthorus-125b-moe.Q4_K_M.gguf.split-ab) | Q4_K_M | 76.5 | fast, recommended |
| [PART 1](https://huggingface.co/mradermacher/orthorus-125b-moe-GGUF/resolve/main/orthorus-125b-moe.Q5_K_S.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/orthorus-125b-moe-GGUF/resolve/main/orthorus-125b-moe.Q5_K_S.gguf.split-ab) | Q5_K_S | 87.2 | |
| [PART 1](https://huggingface.co/mradermacher/orthorus-125b-moe-GGUF/resolve/main/orthorus-125b-moe.Q5_K_M.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/orthorus-125b-moe-GGUF/resolve/main/orthorus-125b-moe.Q5_K_M.gguf.split-ab) | Q5_K_M | 89.7 | |
| [PART 1](https://huggingface.co/mradermacher/orthorus-125b-moe-GGUF/resolve/main/orthorus-125b-moe.Q6_K.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/orthorus-125b-moe-GGUF/resolve/main/orthorus-125b-moe.Q6_K.gguf.split-ab) [PART 3](https://huggingface.co/mradermacher/orthorus-125b-moe-GGUF/resolve/main/orthorus-125b-moe.Q6_K.gguf.split-ac) | Q6_K | 103.8 | very good quality |
| [PART 1](https://huggingface.co/mradermacher/orthorus-125b-moe-GGUF/resolve/main/orthorus-125b-moe.Q8_0.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/orthorus-125b-moe-GGUF/resolve/main/orthorus-125b-moe.Q8_0.gguf.split-ab) [PART 3](https://huggingface.co/mradermacher/orthorus-125b-moe-GGUF/resolve/main/orthorus-125b-moe.Q8_0.gguf.split-ac) | Q8_0 | 134.1 | 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.
<!-- end -->
|