mradermacher commited on
Commit
0b33895
1 Parent(s): 3966b60

auto-patch README.md

Browse files
Files changed (1) hide show
  1. README.md +53 -0
README.md CHANGED
@@ -1,5 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  <!-- ### quantize_version: 1 -->
2
  <!-- ### output_tensor_quantised: 1 -->
3
  <!-- ### convert_type: -->
4
  <!-- ### vocab_type: -->
5
  static quants of https://huggingface.co/bunnycore/CodeZero-7B
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ exported_from: bunnycore/CodeZero-7B
3
+ language:
4
+ - en
5
+ library_name: transformers
6
+ license: apache-2.0
7
+ quantized_by: mradermacher
8
+ tags:
9
+ - merge
10
+ - mergekit
11
+ - lazymergekit
12
+ - ResplendentAI/DaturaCookie_7B
13
+ - ResplendentAI/Flora_7B
14
+ ---
15
+ ## About
16
+
17
  <!-- ### quantize_version: 1 -->
18
  <!-- ### output_tensor_quantised: 1 -->
19
  <!-- ### convert_type: -->
20
  <!-- ### vocab_type: -->
21
  static quants of https://huggingface.co/bunnycore/CodeZero-7B
22
+
23
+
24
+ <!-- provided-files -->
25
+ 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.
26
+ ## Usage
27
+
28
+ If you are unsure how to use GGUF files, refer to one of [TheBloke's
29
+ READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
30
+ more details, including on how to concatenate multi-part files.
31
+
32
+ ## Provided Quants
33
+
34
+ (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
35
+
36
+ | Link | Type | Size/GB | Notes |
37
+ |:-----|:-----|--------:|:------|
38
+ | [GGUF](https://huggingface.co/mradermacher/CodeZero-7B-GGUF/resolve/main/CodeZero-7B.IQ3_S.gguf) | IQ3_S | 4.0 | beats Q3_K* |
39
+ | [GGUF](https://huggingface.co/mradermacher/CodeZero-7B-GGUF/resolve/main/CodeZero-7B.IQ3_M.gguf) | IQ3_M | 4.2 | |
40
+ | [GGUF](https://huggingface.co/mradermacher/CodeZero-7B-GGUF/resolve/main/CodeZero-7B.Q4_K_S.gguf) | Q4_K_S | 5.2 | fast, recommended |
41
+ | [GGUF](https://huggingface.co/mradermacher/CodeZero-7B-GGUF/resolve/main/CodeZero-7B.Q8_0.gguf) | Q8_0 | 9.7 | fast, best quality |
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 -->