mradermacher commited on
Commit
c6a85cf
·
verified ·
1 Parent(s): 422fea3

auto-patch README.md

Browse files
Files changed (1) hide show
  1. README.md +55 -0
README.md CHANGED
@@ -1,3 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  <!-- ### convert_type: -->
2
  <!-- ### vocab_type: -->
3
  weighted/imatrix quants of https://huggingface.co/fblgit/UNAversal-8x7B-v1beta
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ exported_from: fblgit/UNAversal-8x7B-v1beta
3
+ language:
4
+ - en
5
+ library_name: transformers
6
+ license: cc-by-nc-sa-4.0
7
+ quantized_by: mradermacher
8
+ tags:
9
+ - UNA
10
+ - juanako
11
+ - mixtral
12
+ - MoE
13
+ ---
14
+ ## About
15
+
16
  <!-- ### convert_type: -->
17
  <!-- ### vocab_type: -->
18
  weighted/imatrix quants of https://huggingface.co/fblgit/UNAversal-8x7B-v1beta
19
+
20
+
21
+ <!-- provided-files -->
22
+ static quants are available at https://huggingface.co/mradermacher/UNAversal-8x7B-v1beta-GGUF
23
+ ## Usage
24
+
25
+ If you are unsure how to use GGUF files, refer to one of [TheBloke's
26
+ READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
27
+ more details, including on how to concatenate multi-part files.
28
+
29
+ ## Provided Quants
30
+
31
+ (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
32
+
33
+ | Link | Type | Size/GB | Notes |
34
+ |:-----|:-----|--------:|:------|
35
+ | [GGUF](https://huggingface.co/mradermacher/UNAversal-8x7B-v1beta-i1-GGUF/resolve/main/UNAversal-8x7B-v1beta.i1-IQ2_M.gguf) | i1-IQ2_M | 15.8 | |
36
+ | [GGUF](https://huggingface.co/mradermacher/UNAversal-8x7B-v1beta-i1-GGUF/resolve/main/UNAversal-8x7B-v1beta.i1-Q2_K.gguf) | i1-Q2_K | 17.6 | IQ3_XXS probably better |
37
+ | [GGUF](https://huggingface.co/mradermacher/UNAversal-8x7B-v1beta-i1-GGUF/resolve/main/UNAversal-8x7B-v1beta.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 18.5 | lower quality |
38
+ | [GGUF](https://huggingface.co/mradermacher/UNAversal-8x7B-v1beta-i1-GGUF/resolve/main/UNAversal-8x7B-v1beta.i1-Q3_K_M.gguf) | i1-Q3_K_M | 22.8 | IQ3_S probably better |
39
+ | [GGUF](https://huggingface.co/mradermacher/UNAversal-8x7B-v1beta-i1-GGUF/resolve/main/UNAversal-8x7B-v1beta.i1-Q4_K_S.gguf) | i1-Q4_K_S | 27.0 | optimal size/speed/quality |
40
+ | [GGUF](https://huggingface.co/mradermacher/UNAversal-8x7B-v1beta-i1-GGUF/resolve/main/UNAversal-8x7B-v1beta.i1-Q4_K_M.gguf) | i1-Q4_K_M | 28.7 | fast, recommended |
41
+ | [GGUF](https://huggingface.co/mradermacher/UNAversal-8x7B-v1beta-i1-GGUF/resolve/main/UNAversal-8x7B-v1beta.i1-Q6_K.gguf) | i1-Q6_K | 38.6 | practically like static Q6_K |
42
+
43
+
44
+ Here is a handy graph by ikawrakow comparing some lower-quality quant
45
+ types (lower is better):
46
+
47
+ ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
48
+
49
+ And here are Artefact2's thoughts on the matter:
50
+ https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
51
+
52
+ ## Thanks
53
+
54
+ I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
55
+ me use its servers and providing upgrades to my workstation to enable
56
+ this work in my free time.
57
+
58
+ <!-- end -->