File size: 6,992 Bytes
a7a7038 d0281d4 a0eb51b a7a7038 a0eb51b a7a7038 58dd59d a7a7038 6e5d5af 58dd59d 381dd61 58dd59d 6e5d5af 45bcda8 6e5d5af 381dd61 f7f4a79 88eddeb 09afee0 2270a89 88eddeb fee7a83 88eddeb a8ceb24 88eddeb 5c4273e 09afee0 88eddeb 64a44bb f7f4a79 4d75965 f56cefd fee7a83 64a44bb 6e5d5af 1e64cb2 45bcda8 1e64cb2 45bcda8 9fe17e7 d0281d4 db00281 6e5d5af |
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 |
---
base_model: sophosympatheia/Midnight-Rose-103B-v2.0.3
language:
- en
library_name: transformers
license: llama2
quantized_by: mradermacher
---
## About
Weighted imatrix quantize of https://huggingface.co/sophosympatheia/Midnight-Rose-103B-v2.0.3
The weight was calculated using an experimental (potentially crappy) method that is iterative (thus the "i1"), using 270k semi-random english tokens.
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-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/Midnight-Rose-103B-v2.0.3-i1-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.i1-IQ1_S.gguf) | i1-IQ1_S | 22.1 | for the desperate |
| [GGUF](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-i1-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.i1-IQ1_M.gguf) | i1-IQ1_M | 23.9 | mostly desperate |
| [GGUF](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-i1-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 27.7 | |
| [GGUF](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-i1-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.i1-IQ2_XS.gguf) | i1-IQ2_XS | 30.8 | |
| [GGUF](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-i1-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.i1-IQ2_S.gguf) | i1-IQ2_S | 32.3 | |
| [GGUF](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-i1-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.i1-IQ2_M.gguf) | i1-IQ2_M | 35.1 | |
| [GGUF](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-i1-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.i1-Q2_K.gguf) | i1-Q2_K | 38.3 | IQ3_XXS probably better |
| [GGUF](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-i1-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 40.6 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-i1-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.i1-Q3_K_XS.gguf) | i1-Q3_K_XS | 42.4 | |
| [GGUF](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-i1-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.i1-IQ3_XS.gguf) | i1-IQ3_XS | 42.6 | |
| [GGUF](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-i1-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.i1-Q3_K_S.gguf) | i1-Q3_K_S | 44.9 | IQ3_XS probably better |
| [GGUF](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-i1-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.i1-IQ3_S.gguf) | i1-IQ3_S | 45.0 | beats Q3_K* |
| [GGUF](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-i1-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.i1-IQ3_M.gguf) | i1-IQ3_M | 46.5 | |
| [PART 1](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-i1-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.i1-Q3_K_M.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-i1-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.i1-Q3_K_M.gguf.split-ab) | i1-Q3_K_M | 50.0 | IQ3_S probably better |
| [PART 1](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-i1-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.i1-Q3_K_L.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-i1-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.i1-Q3_K_L.gguf.split-ab) | i1-Q3_K_L | 54.5 | IQ3_M probably better |
| [PART 1](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-i1-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.i1-IQ4_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-i1-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.i1-IQ4_XS.gguf.part2of2) | i1-IQ4_XS | 55.5 | |
| [PART 1](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-i1-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.i1-IQ4_NL.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-i1-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.i1-IQ4_NL.gguf.part2of2) | i1-IQ4_NL | 58.7 | prefer IQ4_XS |
| [PART 1](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-i1-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.i1-Q4_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-i1-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.i1-Q4_0.gguf.part2of2) | i1-Q4_0 | 58.8 | fast, low quality |
| [PART 1](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-i1-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.i1-Q4_K_S.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-i1-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.i1-Q4_K_S.gguf.split-ab) | i1-Q4_K_S | 59.0 | optimal size/speed/quality |
| [PART 1](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-i1-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.i1-Q4_K_M.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-i1-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.i1-Q4_K_M.gguf.split-ab) | i1-Q4_K_M | 62.3 | fast, recommended |
| [PART 1](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-i1-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.i1-Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-i1-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.i1-Q5_K_S.gguf.part2of2) | i1-Q5_K_S | 71.4 | |
| [PART 1](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-i1-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.i1-Q5_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-i1-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.i1-Q5_K_M.gguf.part2of2) | i1-Q5_K_M | 73.3 | |
| [PART 1](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-i1-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.i1-Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-i1-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.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 -->
|