File size: 6,043 Bytes
39a36c9
 
 
 
 
 
 
 
 
 
 
 
 
87cb0b6
 
 
 
 
 
39a36c9
 
a7d60d2
39a36c9
 
 
 
 
 
 
 
 
 
 
 
a7d60d2
 
 
 
 
 
 
 
 
 
 
 
 
39a36c9
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
---
base_model: softwareweaver/Twilight-Miqu-146B
language:
- en
library_name: transformers
license: other
quantized_by: mradermacher
tags:
- mergekit
- merge
---
## About

<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type:  -->
<!-- ### tags:  -->
static quants of https://huggingface.co/softwareweaver/Twilight-Miqu-146B

<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Twilight-Miqu-146B-i1-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 |
|:-----|:-----|--------:|:------|
| [PART 1](https://huggingface.co/mradermacher/Twilight-Miqu-146B-GGUF/resolve/main/Twilight-Miqu-146B.Q2_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Twilight-Miqu-146B-GGUF/resolve/main/Twilight-Miqu-146B.Q2_K.gguf.part2of2) | Q2_K | 53.7 |  |
| [PART 1](https://huggingface.co/mradermacher/Twilight-Miqu-146B-GGUF/resolve/main/Twilight-Miqu-146B.IQ3_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Twilight-Miqu-146B-GGUF/resolve/main/Twilight-Miqu-146B.IQ3_XS.gguf.part2of2) | IQ3_XS | 59.7 |  |
| [PART 1](https://huggingface.co/mradermacher/Twilight-Miqu-146B-GGUF/resolve/main/Twilight-Miqu-146B.Q3_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Twilight-Miqu-146B-GGUF/resolve/main/Twilight-Miqu-146B.Q3_K_S.gguf.part2of2) | Q3_K_S | 62.9 |  |
| [PART 1](https://huggingface.co/mradermacher/Twilight-Miqu-146B-GGUF/resolve/main/Twilight-Miqu-146B.IQ3_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Twilight-Miqu-146B-GGUF/resolve/main/Twilight-Miqu-146B.IQ3_S.gguf.part2of2) | IQ3_S | 63.1 | beats Q3_K* |
| [PART 1](https://huggingface.co/mradermacher/Twilight-Miqu-146B-GGUF/resolve/main/Twilight-Miqu-146B.IQ3_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Twilight-Miqu-146B-GGUF/resolve/main/Twilight-Miqu-146B.IQ3_M.gguf.part2of2) | IQ3_M | 65.3 |  |
| [PART 1](https://huggingface.co/mradermacher/Twilight-Miqu-146B-GGUF/resolve/main/Twilight-Miqu-146B.Q3_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Twilight-Miqu-146B-GGUF/resolve/main/Twilight-Miqu-146B.Q3_K_M.gguf.part2of2) | Q3_K_M | 70.2 | lower quality |
| [PART 1](https://huggingface.co/mradermacher/Twilight-Miqu-146B-GGUF/resolve/main/Twilight-Miqu-146B.Q3_K_L.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Twilight-Miqu-146B-GGUF/resolve/main/Twilight-Miqu-146B.Q3_K_L.gguf.part2of2) | Q3_K_L | 76.5 |  |
| [PART 1](https://huggingface.co/mradermacher/Twilight-Miqu-146B-GGUF/resolve/main/Twilight-Miqu-146B.IQ4_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Twilight-Miqu-146B-GGUF/resolve/main/Twilight-Miqu-146B.IQ4_XS.gguf.part2of2) | IQ4_XS | 78.7 |  |
| [PART 1](https://huggingface.co/mradermacher/Twilight-Miqu-146B-GGUF/resolve/main/Twilight-Miqu-146B.Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Twilight-Miqu-146B-GGUF/resolve/main/Twilight-Miqu-146B.Q4_K_S.gguf.part2of2) | Q4_K_S | 82.9 | fast, recommended |
| [PART 1](https://huggingface.co/mradermacher/Twilight-Miqu-146B-GGUF/resolve/main/Twilight-Miqu-146B.Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Twilight-Miqu-146B-GGUF/resolve/main/Twilight-Miqu-146B.Q4_K_M.gguf.part2of2) | Q4_K_M | 87.6 | fast, recommended |
| [PART 1](https://huggingface.co/mradermacher/Twilight-Miqu-146B-GGUF/resolve/main/Twilight-Miqu-146B.Q5_K_S.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/Twilight-Miqu-146B-GGUF/resolve/main/Twilight-Miqu-146B.Q5_K_S.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/Twilight-Miqu-146B-GGUF/resolve/main/Twilight-Miqu-146B.Q5_K_S.gguf.part3of3) | Q5_K_S | 100.5 |  |
| [PART 1](https://huggingface.co/mradermacher/Twilight-Miqu-146B-GGUF/resolve/main/Twilight-Miqu-146B.Q5_K_M.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/Twilight-Miqu-146B-GGUF/resolve/main/Twilight-Miqu-146B.Q5_K_M.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/Twilight-Miqu-146B-GGUF/resolve/main/Twilight-Miqu-146B.Q5_K_M.gguf.part3of3) | Q5_K_M | 103.3 |  |
| [PART 1](https://huggingface.co/mradermacher/Twilight-Miqu-146B-GGUF/resolve/main/Twilight-Miqu-146B.Q6_K.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/Twilight-Miqu-146B-GGUF/resolve/main/Twilight-Miqu-146B.Q6_K.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/Twilight-Miqu-146B-GGUF/resolve/main/Twilight-Miqu-146B.Q6_K.gguf.part3of3) | Q6_K | 119.9 | very good quality |
| [PART 1](https://huggingface.co/mradermacher/Twilight-Miqu-146B-GGUF/resolve/main/Twilight-Miqu-146B.Q8_0.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/Twilight-Miqu-146B-GGUF/resolve/main/Twilight-Miqu-146B.Q8_0.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/Twilight-Miqu-146B-GGUF/resolve/main/Twilight-Miqu-146B.Q8_0.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/Twilight-Miqu-146B-GGUF/resolve/main/Twilight-Miqu-146B.Q8_0.gguf.part4of4) | Q8_0 | 155.2 | 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)

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 -->