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---
language:
- en
library_name: transformers
license: llama2
quantized_by: mradermacher
---
## About

static quantize of https://huggingface.co/sophosympatheia/Midnight-Rose-103B-v2.0.3/

weighted/imatrix wuants can be found at https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-i1-GGUF
<!-- 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/Midnight-Rose-103B-v2.0.3-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.Q2_K.gguf) | Q2_K | 38.2 |  |
| [GGUF](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.Q3_K_XS.gguf) | Q3_K_XS | 42.3 |  |
| [GGUF](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.Q3_K_S.gguf) | Q3_K_S | 44.8 |  |
| [PART 1](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.Q3_K_M.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.Q3_K_M.gguf.split-ab) | Q3_K_M | 49.9 | lower quality |
| [PART 1](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.Q3_K_L.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.Q3_K_L.gguf.split-ab) | Q3_K_L | 54.4 |  |
| [PART 1](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.Q4_K_S.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.Q4_K_S.gguf.split-ab) | Q4_K_S | 58.9 | fast, medium quality |
| [PART 1](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.Q4_K_M.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.Q4_K_M.gguf.split-ab) | Q4_K_M | 62.2 | fast, medium quality |
| [PART 1](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.Q5_K_S.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.Q5_K_S.gguf.split-ab) | Q5_K_S | 71.3 |  |
| [PART 1](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.Q5_K_M.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.Q5_K_M.gguf.split-ab) | Q5_K_M | 73.2 |  |
| [PART 1](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.Q6_K.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.Q6_K.gguf.split-ab) | Q6_K | 85.0 | very good quality |
| [PART 1](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.Q8_0.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.Q8_0.gguf.split-ab) [PART 3](https://huggingface.co/mradermacher/Midnight-Rose-103B-v2.0.3-GGUF/resolve/main/Midnight-Rose-103B-v2.0.3.Q8_0.gguf.split-ac) | Q8_0 | 109.9 | fast, best 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)

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