mradermacher commited on
Commit
b57a53b
1 Parent(s): d0aeca6

auto-patch README.md

Browse files
Files changed (1) hide show
  1. README.md +51 -0
README.md CHANGED
@@ -1,6 +1,57 @@
 
 
 
 
 
 
 
 
 
 
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/cloudyu/Mixtral_11Bx2_MoE_19B
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: cloudyu/Mixtral_11Bx2_MoE_19B
3
+ language:
4
+ - en
5
+ library_name: transformers
6
+ license: cc-by-nc-4.0
7
+ quantized_by: mradermacher
8
+ ---
9
+ ## About
10
+
11
  <!-- ### quantize_version: 2 -->
12
  <!-- ### output_tensor_quantised: 1 -->
13
  <!-- ### convert_type: hf -->
14
  <!-- ### vocab_type: -->
15
  <!-- ### tags: nicoboss -->
16
  weighted/imatrix quants of https://huggingface.co/cloudyu/Mixtral_11Bx2_MoE_19B
17
+
18
+ <!-- provided-files -->
19
+ static quants are available at https://huggingface.co/mradermacher/Mixtral_11Bx2_MoE_19B-GGUF
20
+ ## Usage
21
+
22
+ If you are unsure how to use GGUF files, refer to one of [TheBloke's
23
+ READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
24
+ more details, including on how to concatenate multi-part files.
25
+
26
+ ## Provided Quants
27
+
28
+ (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
29
+
30
+ | Link | Type | Size/GB | Notes |
31
+ |:-----|:-----|--------:|:------|
32
+ | [GGUF](https://huggingface.co/mradermacher/Mixtral_11Bx2_MoE_19B-i1-GGUF/resolve/main/Mixtral_11Bx2_MoE_19B.i1-Q2_K.gguf) | i1-Q2_K | 7.2 | IQ3_XXS probably better |
33
+ | [GGUF](https://huggingface.co/mradermacher/Mixtral_11Bx2_MoE_19B-i1-GGUF/resolve/main/Mixtral_11Bx2_MoE_19B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 7.5 | lower quality |
34
+ | [GGUF](https://huggingface.co/mradermacher/Mixtral_11Bx2_MoE_19B-i1-GGUF/resolve/main/Mixtral_11Bx2_MoE_19B.i1-IQ3_M.gguf) | i1-IQ3_M | 8.6 | |
35
+ | [GGUF](https://huggingface.co/mradermacher/Mixtral_11Bx2_MoE_19B-i1-GGUF/resolve/main/Mixtral_11Bx2_MoE_19B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 9.3 | IQ3_S probably better |
36
+ | [GGUF](https://huggingface.co/mradermacher/Mixtral_11Bx2_MoE_19B-i1-GGUF/resolve/main/Mixtral_11Bx2_MoE_19B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 11.0 | optimal size/speed/quality |
37
+
38
+ Here is a handy graph by ikawrakow comparing some lower-quality quant
39
+ types (lower is better):
40
+
41
+ ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
42
+
43
+ And here are Artefact2's thoughts on the matter:
44
+ https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
45
+
46
+ ## FAQ / Model Request
47
+
48
+ See https://huggingface.co/mradermacher/model_requests for some answers to
49
+ questions you might have and/or if you want some other model quantized.
50
+
51
+ ## Thanks
52
+
53
+ I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
54
+ me use its servers and providing upgrades to my workstation to enable
55
+ this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.
56
+
57
+ <!-- end -->