File size: 6,360 Bytes
297524a 705eecf 3c5ebdf 297524a 3c5ebdf 297524a e820cb6 297524a 3eb54e6 e820cb6 14ae6c6 e820cb6 3eb54e6 5620919 3eb54e6 14ae6c6 b2449a9 d7d5e8f 38182a2 4ee1d6b d7d5e8f 69fd447 d7d5e8f 76358a7 d7d5e8f 69fd447 9938aba d7d5e8f 5bed4a0 e7e8abb 233e52c 69fd447 0d03eac 233e52c 3eb54e6 059662f 5620919 059662f 5620919 e60bc24 705eecf 9820efc 3eb54e6 |
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 |
---
base_model: sophosympatheia/Aurora-Nights-103B-v1.0
language:
- en
library_name: transformers
license: llama2
quantized_by: mradermacher
---
## About
weighted/imatrix wants of https://huggingface.co/sophosympatheia/Aurora-Nights-103B-v1.0
the weights were calculated using 164k semi-random english-only tokens.
<!-- provided-files -->
## 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/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-IQ1_S.gguf) | i1-IQ1_S | 22.1 | for the desperate |
| [GGUF](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-IQ1_M.gguf) | i1-IQ1_M | 23.9 | mostly desperate |
| [GGUF](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 27.7 | |
| [GGUF](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-IQ2_XS.gguf) | i1-IQ2_XS | 30.8 | |
| [GGUF](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-IQ2_S.gguf) | i1-IQ2_S | 32.3 | |
| [GGUF](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-IQ2_M.gguf) | i1-IQ2_M | 35.1 | |
| [GGUF](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-Q2_K.gguf) | i1-Q2_K | 38.3 | IQ3_XXS probably better |
| [GGUF](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 40.6 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-Q3_K_XS.gguf) | i1-Q3_K_XS | 42.4 | |
| [GGUF](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-IQ3_XS.gguf) | i1-IQ3_XS | 42.5 | |
| [GGUF](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-Q3_K_S.gguf) | i1-Q3_K_S | 44.9 | IQ3_XS probably better |
| [GGUF](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-IQ3_S.gguf) | i1-IQ3_S | 45.0 | beats Q3_K* |
| [GGUF](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-IQ3_M.gguf) | i1-IQ3_M | 46.5 | |
| [PART 1](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-Q3_K_M.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-Q3_K_M.gguf.split-ab) | i1-Q3_K_M | 50.0 | IQ3_S probably better |
| [PART 1](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-Q3_K_L.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-Q3_K_L.gguf.split-ab) | i1-Q3_K_L | 54.5 | IQ3_M probably better |
| [PART 1](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-IQ4_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-IQ4_XS.gguf.part2of2) | i1-IQ4_XS | 55.5 | |
| [PART 1](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-Q4_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-Q4_0.gguf.part2of2) | i1-Q4_0 | 58.4 | fast, low quality |
| [PART 1](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-Q4_K_S.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-Q4_K_S.gguf.split-ab) | i1-Q4_K_S | 59.0 | optimal size/speed/quality |
| [PART 1](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-Q4_K_M.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-Q4_K_M.gguf.split-ab) | i1-Q4_K_M | 62.3 | fast, recommended |
| [PART 1](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-Q5_K_S.gguf.part2of2) | i1-Q5_K_S | 71.4 | |
| [PART 1](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-Q5_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-Q5_K_M.gguf.part2of2) | i1-Q5_K_M | 73.3 | |
| [PART 1](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-Q6_K.gguf.part2of2) | i1-Q6_K | 85.1 | practically like static Q6_K |
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 -->
|