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---
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.Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Midnight-Miqu-103B-v1.0-GGUF/resolve/main/Midnight-Miqu-103B-v1.0.Q5_K_S.gguf.part2of2) | Q5_K_S | 71.4 | |
| [PART 1](https://huggingface.co/mradermacher/Midnight-Miqu-103B-v1.0-GGUF/resolve/main/Midnight-Miqu-103B-v1.0.Q5_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Midnight-Miqu-103B-v1.0-GGUF/resolve/main/Midnight-Miqu-103B-v1.0.Q5_K_M.gguf.part2of2) | Q5_K_M | 73.3 | |
| [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 |
| [PART 1](https://huggingface.co/mradermacher/Midnight-Miqu-103B-v1.0-GGUF/resolve/main/Midnight-Miqu-103B-v1.0.Q8_0.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/Midnight-Miqu-103B-v1.0-GGUF/resolve/main/Midnight-Miqu-103B-v1.0.Q8_0.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/Midnight-Miqu-103B-v1.0-GGUF/resolve/main/Midnight-Miqu-103B-v1.0.Q8_0.gguf.part3of3) | Q8_0 | 110.0 | 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
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