mradermacher commited on
Commit
bb654a7
1 Parent(s): 659d527

auto-patch README.md

Browse files
Files changed (1) hide show
  1. README.md +60 -0
README.md CHANGED
@@ -1,5 +1,65 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  <!-- ### quantize_version: 1 -->
2
  <!-- ### output_tensor_quantised: 1 -->
3
  <!-- ### convert_type: -->
4
  <!-- ### vocab_type: -->
5
  static quants of https://huggingface.co/ValiantLabs/Llama3-70B-ShiningValiant2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ exported_from: ValiantLabs/Llama3-70B-ShiningValiant2
3
+ language:
4
+ - en
5
+ library_name: transformers
6
+ license: other
7
+ license_link: https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct/blob/main/LICENSE
8
+ license_name: llama3
9
+ model_type: llama
10
+ quantized_by: mradermacher
11
+ tags:
12
+ - shining-valiant
13
+ - shining-valiant-2
14
+ - valiant
15
+ - valiant-labs
16
+ - llama
17
+ - llama-3
18
+ - llama-3-instruct
19
+ - llama-3-instruct-70b
20
+ - 70b
21
+ - conversational
22
+ - chat
23
+ - instruct
24
+ ---
25
+ ## About
26
+
27
  <!-- ### quantize_version: 1 -->
28
  <!-- ### output_tensor_quantised: 1 -->
29
  <!-- ### convert_type: -->
30
  <!-- ### vocab_type: -->
31
  static quants of https://huggingface.co/ValiantLabs/Llama3-70B-ShiningValiant2
32
+
33
+
34
+ <!-- provided-files -->
35
+ weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
36
+ ## Usage
37
+
38
+ If you are unsure how to use GGUF files, refer to one of [TheBloke's
39
+ READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
40
+ more details, including on how to concatenate multi-part files.
41
+
42
+ ## Provided Quants
43
+
44
+ (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
45
+
46
+ | Link | Type | Size/GB | Notes |
47
+ |:-----|:-----|--------:|:------|
48
+ | [PART 1](https://huggingface.co/mradermacher/Llama3-70B-ShiningValiant2-GGUF/resolve/main/Llama3-70B-ShiningValiant2.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Llama3-70B-ShiningValiant2-GGUF/resolve/main/Llama3-70B-ShiningValiant2.Q8_0.gguf.part2of2) | Q8_0 | 75.1 | fast, best quality |
49
+
50
+
51
+ Here is a handy graph by ikawrakow comparing some lower-quality quant
52
+ types (lower is better):
53
+
54
+ ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
55
+
56
+ And here are Artefact2's thoughts on the matter:
57
+ https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
58
+
59
+ ## Thanks
60
+
61
+ I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
62
+ me use its servers and providing upgrades to my workstation to enable
63
+ this work in my free time.
64
+
65
+ <!-- end -->