File size: 2,644 Bytes
d6cb270 e036c9c d6cb270 |
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 |
---
language:
- en
library_name: transformers
quantized_by: mradermacher
---
## About
static quants of https://huggingface.co/152334H/miqu-1-70b-sf
<!-- 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/miqu-1-70b-sf-GGUF/resolve/main/miqu-1-70b-sf.Q2_K.gguf) | Q2_K | 25.9 | |
| [GGUF](https://huggingface.co/mradermacher/miqu-1-70b-sf-GGUF/resolve/main/miqu-1-70b-sf.Q3_K_S.gguf) | Q3_K_S | 30.3 | |
| [GGUF](https://huggingface.co/mradermacher/miqu-1-70b-sf-GGUF/resolve/main/miqu-1-70b-sf.Q3_K_M.gguf) | Q3_K_M | 33.7 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/miqu-1-70b-sf-GGUF/resolve/main/miqu-1-70b-sf.Q3_K_L.gguf) | Q3_K_L | 36.6 | |
| [GGUF](https://huggingface.co/mradermacher/miqu-1-70b-sf-GGUF/resolve/main/miqu-1-70b-sf.Q4_K_S.gguf) | Q4_K_S | 39.7 | fast, medium quality |
| [GGUF](https://huggingface.co/mradermacher/miqu-1-70b-sf-GGUF/resolve/main/miqu-1-70b-sf.Q4_K_M.gguf) | Q4_K_M | 41.8 | fast, medium quality |
| [GGUF](https://huggingface.co/mradermacher/miqu-1-70b-sf-GGUF/resolve/main/miqu-1-70b-sf.Q5_K_S.gguf) | Q5_K_S | 47.9 | |
| [GGUF](https://huggingface.co/mradermacher/miqu-1-70b-sf-GGUF/resolve/main/miqu-1-70b-sf.Q5_K_M.gguf) | Q5_K_M | 49.2 | |
| [PART 1](https://huggingface.co/mradermacher/miqu-1-70b-sf-GGUF/resolve/main/miqu-1-70b-sf.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/miqu-1-70b-sf-GGUF/resolve/main/miqu-1-70b-sf.Q6_K.gguf.part2of2) | Q6_K | 57.0 | very good quality |
| [PART 1](https://huggingface.co/mradermacher/miqu-1-70b-sf-GGUF/resolve/main/miqu-1-70b-sf.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/miqu-1-70b-sf-GGUF/resolve/main/miqu-1-70b-sf.Q8_0.gguf.part2of2) | Q8_0 | 73.6 | 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
## 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 -->
|