---
base_model: []
language:
- en
library_name: transformers
quantized_by: mradermacher
tags:
- mergekit
- merge
---
## About

static quants of https://huggingface.co/sophosympatheia/Midnight-Miqu-103B-v1.0

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## 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-Miqu-103B-v1.0-GGUF/resolve/main/Midnight-Miqu-103B-v1.0.Q2_K.gguf) | Q2_K | 38.3 |  |
| [GGUF](https://huggingface.co/mradermacher/Midnight-Miqu-103B-v1.0-GGUF/resolve/main/Midnight-Miqu-103B-v1.0.Q3_K_S.gguf) | Q3_K_S | 44.9 |  |
| [PART 1](https://huggingface.co/mradermacher/Midnight-Miqu-103B-v1.0-GGUF/resolve/main/Midnight-Miqu-103B-v1.0.Q3_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Midnight-Miqu-103B-v1.0-GGUF/resolve/main/Midnight-Miqu-103B-v1.0.Q3_K_M.gguf.part2of2) | Q3_K_M | 50.0 | lower quality |
| [PART 1](https://huggingface.co/mradermacher/Midnight-Miqu-103B-v1.0-GGUF/resolve/main/Midnight-Miqu-103B-v1.0.Q3_K_L.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Midnight-Miqu-103B-v1.0-GGUF/resolve/main/Midnight-Miqu-103B-v1.0.Q3_K_L.gguf.part2of2) | Q3_K_L | 54.5 |  |
| [PART 1](https://huggingface.co/mradermacher/Midnight-Miqu-103B-v1.0-GGUF/resolve/main/Midnight-Miqu-103B-v1.0.Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Midnight-Miqu-103B-v1.0-GGUF/resolve/main/Midnight-Miqu-103B-v1.0.Q4_K_S.gguf.part2of2) | Q4_K_S | 59.0 | fast, medium quality |
| [PART 1](https://huggingface.co/mradermacher/Midnight-Miqu-103B-v1.0-GGUF/resolve/main/Midnight-Miqu-103B-v1.0.Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Midnight-Miqu-103B-v1.0-GGUF/resolve/main/Midnight-Miqu-103B-v1.0.Q4_K_M.gguf.part2of2) | Q4_K_M | 62.3 | fast, medium quality |
| [PART 1](https://huggingface.co/mradermacher/Midnight-Miqu-103B-v1.0-GGUF/resolve/main/Midnight-Miqu-103B-v1.0.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Midnight-Miqu-103B-v1.0-GGUF/resolve/main/Midnight-Miqu-103B-v1.0.Q6_K.gguf.part2of2) | Q6_K | 85.1 | very good quality |


Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):

![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)

And here are Artefact2's thoughts on the matter:
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

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