mradermacher
commited on
Commit
•
e4a9d70
1
Parent(s):
6973f73
auto-patch README.md
Browse files
README.md
CHANGED
@@ -1,6 +1,78 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
<!-- ### quantize_version: 2 -->
|
2 |
<!-- ### output_tensor_quantised: 1 -->
|
3 |
<!-- ### convert_type: hf -->
|
4 |
<!-- ### vocab_type: -->
|
5 |
<!-- ### tags: -->
|
6 |
static quants of https://huggingface.co/anthracite-org/magnum-v2-72b
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: anthracite-org/magnum-v2-72b
|
3 |
+
language:
|
4 |
+
- en
|
5 |
+
- fr
|
6 |
+
- de
|
7 |
+
- es
|
8 |
+
- it
|
9 |
+
- pt
|
10 |
+
- ru
|
11 |
+
- zh
|
12 |
+
- ja
|
13 |
+
library_name: transformers
|
14 |
+
license: other
|
15 |
+
license_link: https://huggingface.co/anthracite-org/magnum-v2-72b/blob/main/LICENSE
|
16 |
+
license_name: tongyi-qianwen
|
17 |
+
quantized_by: mradermacher
|
18 |
+
tags:
|
19 |
+
- chat
|
20 |
+
---
|
21 |
+
## About
|
22 |
+
|
23 |
<!-- ### quantize_version: 2 -->
|
24 |
<!-- ### output_tensor_quantised: 1 -->
|
25 |
<!-- ### convert_type: hf -->
|
26 |
<!-- ### vocab_type: -->
|
27 |
<!-- ### tags: -->
|
28 |
static quants of https://huggingface.co/anthracite-org/magnum-v2-72b
|
29 |
+
|
30 |
+
<!-- provided-files -->
|
31 |
+
weighted/imatrix quants are available at https://huggingface.co/mradermacher/magnum-v2-72b-i1-GGUF
|
32 |
+
## Usage
|
33 |
+
|
34 |
+
If you are unsure how to use GGUF files, refer to one of [TheBloke's
|
35 |
+
READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
|
36 |
+
more details, including on how to concatenate multi-part files.
|
37 |
+
|
38 |
+
## Provided Quants
|
39 |
+
|
40 |
+
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
|
41 |
+
|
42 |
+
| Link | Type | Size/GB | Notes |
|
43 |
+
|:-----|:-----|--------:|:------|
|
44 |
+
| [GGUF](https://huggingface.co/mradermacher/magnum-v2-72b-GGUF/resolve/main/magnum-v2-72b.Q2_K.gguf) | Q2_K | 29.9 | |
|
45 |
+
| [GGUF](https://huggingface.co/mradermacher/magnum-v2-72b-GGUF/resolve/main/magnum-v2-72b.IQ3_XS.gguf) | IQ3_XS | 32.9 | |
|
46 |
+
| [GGUF](https://huggingface.co/mradermacher/magnum-v2-72b-GGUF/resolve/main/magnum-v2-72b.IQ3_S.gguf) | IQ3_S | 34.6 | beats Q3_K* |
|
47 |
+
| [GGUF](https://huggingface.co/mradermacher/magnum-v2-72b-GGUF/resolve/main/magnum-v2-72b.Q3_K_S.gguf) | Q3_K_S | 34.6 | |
|
48 |
+
| [GGUF](https://huggingface.co/mradermacher/magnum-v2-72b-GGUF/resolve/main/magnum-v2-72b.IQ3_M.gguf) | IQ3_M | 35.6 | |
|
49 |
+
| [GGUF](https://huggingface.co/mradermacher/magnum-v2-72b-GGUF/resolve/main/magnum-v2-72b.Q3_K_M.gguf) | Q3_K_M | 37.8 | lower quality |
|
50 |
+
| [GGUF](https://huggingface.co/mradermacher/magnum-v2-72b-GGUF/resolve/main/magnum-v2-72b.Q3_K_L.gguf) | Q3_K_L | 39.6 | |
|
51 |
+
| [GGUF](https://huggingface.co/mradermacher/magnum-v2-72b-GGUF/resolve/main/magnum-v2-72b.IQ4_XS.gguf) | IQ4_XS | 40.3 | |
|
52 |
+
| [GGUF](https://huggingface.co/mradermacher/magnum-v2-72b-GGUF/resolve/main/magnum-v2-72b.Q4_K_S.gguf) | Q4_K_S | 44.0 | fast, recommended |
|
53 |
+
| [GGUF](https://huggingface.co/mradermacher/magnum-v2-72b-GGUF/resolve/main/magnum-v2-72b.Q4_K_M.gguf) | Q4_K_M | 47.5 | fast, recommended |
|
54 |
+
| [PART 1](https://huggingface.co/mradermacher/magnum-v2-72b-GGUF/resolve/main/magnum-v2-72b.Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/magnum-v2-72b-GGUF/resolve/main/magnum-v2-72b.Q5_K_S.gguf.part2of2) | Q5_K_S | 51.5 | |
|
55 |
+
| [PART 1](https://huggingface.co/mradermacher/magnum-v2-72b-GGUF/resolve/main/magnum-v2-72b.Q5_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/magnum-v2-72b-GGUF/resolve/main/magnum-v2-72b.Q5_K_M.gguf.part2of2) | Q5_K_M | 54.5 | |
|
56 |
+
| [PART 1](https://huggingface.co/mradermacher/magnum-v2-72b-GGUF/resolve/main/magnum-v2-72b.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/magnum-v2-72b-GGUF/resolve/main/magnum-v2-72b.Q6_K.gguf.part2of2) | Q6_K | 64.4 | very good quality |
|
57 |
+
| [PART 1](https://huggingface.co/mradermacher/magnum-v2-72b-GGUF/resolve/main/magnum-v2-72b.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/magnum-v2-72b-GGUF/resolve/main/magnum-v2-72b.Q8_0.gguf.part2of2) | Q8_0 | 77.4 | fast, best quality |
|
58 |
+
|
59 |
+
Here is a handy graph by ikawrakow comparing some lower-quality quant
|
60 |
+
types (lower is better):
|
61 |
+
|
62 |
+
![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
|
63 |
+
|
64 |
+
And here are Artefact2's thoughts on the matter:
|
65 |
+
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
|
66 |
+
|
67 |
+
## FAQ / Model Request
|
68 |
+
|
69 |
+
See https://huggingface.co/mradermacher/model_requests for some answers to
|
70 |
+
questions you might have and/or if you want some other model quantized.
|
71 |
+
|
72 |
+
## Thanks
|
73 |
+
|
74 |
+
I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
|
75 |
+
me use its servers and providing upgrades to my workstation to enable
|
76 |
+
this work in my free time.
|
77 |
+
|
78 |
+
<!-- end -->
|