mradermacher commited on
Commit
4e38a9d
1 Parent(s): 278bcfc

auto-patch README.md

Browse files
Files changed (1) hide show
  1. README.md +59 -0
README.md CHANGED
@@ -1,6 +1,65 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  <!-- ### quantize_version: 2 -->
2
  <!-- ### output_tensor_quantised: 1 -->
3
  <!-- ### convert_type: hf -->
4
  <!-- ### vocab_type: -->
5
  <!-- ### tags: nicoboss -->
6
  weighted/imatrix quants of https://huggingface.co/Steelskull/Umbra-v3-MoE-4x11b-2ex
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: Steelskull/Umbra-v3-MoE-4x11b-2ex
3
+ language:
4
+ - en
5
+ library_name: transformers
6
+ license: apache-2.0
7
+ quantized_by: mradermacher
8
+ tags:
9
+ - moe
10
+ - frankenmoe
11
+ - merge
12
+ - mergekit
13
+ - Himitsui/Kaiju-11B
14
+ - Sao10K/Fimbulvetr-11B-v2
15
+ - decapoda-research/Antares-11b-v2
16
+ - beberik/Nyxene-v3-11B
17
+ ---
18
+ ## About
19
+
20
  <!-- ### quantize_version: 2 -->
21
  <!-- ### output_tensor_quantised: 1 -->
22
  <!-- ### convert_type: hf -->
23
  <!-- ### vocab_type: -->
24
  <!-- ### tags: nicoboss -->
25
  weighted/imatrix quants of https://huggingface.co/Steelskull/Umbra-v3-MoE-4x11b-2ex
26
+
27
+ <!-- provided-files -->
28
+ static quants are available at https://huggingface.co/mradermacher/Umbra-v3-MoE-4x11b-2ex-GGUF
29
+ ## Usage
30
+
31
+ If you are unsure how to use GGUF files, refer to one of [TheBloke's
32
+ READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
33
+ more details, including on how to concatenate multi-part files.
34
+
35
+ ## Provided Quants
36
+
37
+ (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
38
+
39
+ | Link | Type | Size/GB | Notes |
40
+ |:-----|:-----|--------:|:------|
41
+ | [GGUF](https://huggingface.co/mradermacher/Umbra-v3-MoE-4x11b-2ex-i1-GGUF/resolve/main/Umbra-v3-MoE-4x11b-2ex.i1-Q2_K.gguf) | i1-Q2_K | 13.3 | IQ3_XXS probably better |
42
+ | [GGUF](https://huggingface.co/mradermacher/Umbra-v3-MoE-4x11b-2ex-i1-GGUF/resolve/main/Umbra-v3-MoE-4x11b-2ex.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 14.0 | lower quality |
43
+ | [GGUF](https://huggingface.co/mradermacher/Umbra-v3-MoE-4x11b-2ex-i1-GGUF/resolve/main/Umbra-v3-MoE-4x11b-2ex.i1-Q3_K_M.gguf) | i1-Q3_K_M | 17.4 | IQ3_S probably better |
44
+ | [GGUF](https://huggingface.co/mradermacher/Umbra-v3-MoE-4x11b-2ex-i1-GGUF/resolve/main/Umbra-v3-MoE-4x11b-2ex.i1-Q4_K_S.gguf) | i1-Q4_K_S | 20.6 | optimal size/speed/quality |
45
+
46
+ Here is a handy graph by ikawrakow comparing some lower-quality quant
47
+ types (lower is better):
48
+
49
+ ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
50
+
51
+ And here are Artefact2's thoughts on the matter:
52
+ https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
53
+
54
+ ## FAQ / Model Request
55
+
56
+ See https://huggingface.co/mradermacher/model_requests for some answers to
57
+ questions you might have and/or if you want some other model quantized.
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. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his hardware for calculating the imatrix for these quants.
64
+
65
+ <!-- end -->