mradermacher commited on
Commit
c88d53c
·
verified ·
1 Parent(s): f7124c8

auto-patch README.md

Browse files
Files changed (1) hide show
  1. README.md +54 -0
README.md CHANGED
@@ -1,6 +1,60 @@
 
 
 
 
 
 
 
 
 
 
 
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/NewEden/Austral-GLM4-Winton
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: NewEden/Austral-GLM4-Winton
3
+ language:
4
+ - en
5
+ library_name: transformers
6
+ mradermacher:
7
+ readme_rev: 1
8
+ quantized_by: mradermacher
9
+ ---
10
+ ## About
11
+
12
  <!-- ### quantize_version: 2 -->
13
  <!-- ### output_tensor_quantised: 1 -->
14
  <!-- ### convert_type: hf -->
15
  <!-- ### vocab_type: -->
16
  <!-- ### tags: -->
17
  static quants of https://huggingface.co/NewEden/Austral-GLM4-Winton
18
+
19
+ <!-- provided-files -->
20
+
21
+ ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Austral-GLM4-Winton-GGUF).***
22
+
23
+ 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.
24
+ ## Usage
25
+
26
+ If you are unsure how to use GGUF files, refer to one of [TheBloke's
27
+ READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
28
+ more details, including on how to concatenate multi-part files.
29
+
30
+ ## Provided Quants
31
+
32
+ (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
33
+
34
+ | Link | Type | Size/GB | Notes |
35
+ |:-----|:-----|--------:|:------|
36
+ | [GGUF](https://huggingface.co/mradermacher/Austral-GLM4-Winton-GGUF/resolve/main/Austral-GLM4-Winton.Q2_K.gguf) | Q2_K | 12.4 | |
37
+ | [GGUF](https://huggingface.co/mradermacher/Austral-GLM4-Winton-GGUF/resolve/main/Austral-GLM4-Winton.Q3_K_S.gguf) | Q3_K_S | 14.5 | |
38
+ | [GGUF](https://huggingface.co/mradermacher/Austral-GLM4-Winton-GGUF/resolve/main/Austral-GLM4-Winton.Q3_K_M.gguf) | Q3_K_M | 16.0 | lower quality |
39
+ | [GGUF](https://huggingface.co/mradermacher/Austral-GLM4-Winton-GGUF/resolve/main/Austral-GLM4-Winton.Q4_K_S.gguf) | Q4_K_S | 18.8 | fast, recommended |
40
+
41
+ Here is a handy graph by ikawrakow comparing some lower-quality quant
42
+ types (lower is better):
43
+
44
+ ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
45
+
46
+ And here are Artefact2's thoughts on the matter:
47
+ https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
48
+
49
+ ## FAQ / Model Request
50
+
51
+ See https://huggingface.co/mradermacher/model_requests for some answers to
52
+ questions you might have and/or if you want some other model quantized.
53
+
54
+ ## Thanks
55
+
56
+ I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
57
+ me use its servers and providing upgrades to my workstation to enable
58
+ 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.
59
+
60
+ <!-- end -->