mradermacher commited on
Commit
9d486a5
1 Parent(s): f2ab1d9

auto-patch README.md

Browse files
Files changed (1) hide show
  1. README.md +64 -0
README.md CHANGED
@@ -1,5 +1,69 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  <!-- ### quantize_version: 1 -->
2
  <!-- ### output_tensor_quantised: 1 -->
3
  <!-- ### convert_type: -->
4
  <!-- ### vocab_type: -->
5
  static quants of https://huggingface.co/ajibawa-2023/General-Stories-Mistral-7B
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ datasets:
3
+ - ajibawa-2023/General-Stories-Collection
4
+ exported_from: ajibawa-2023/General-Stories-Mistral-7B
5
+ language:
6
+ - en
7
+ library_name: transformers
8
+ license: apache-2.0
9
+ quantized_by: mradermacher
10
+ tags:
11
+ - story
12
+ - art
13
+ - general audience
14
+ - knowledge
15
+ ---
16
+ ## About
17
+
18
  <!-- ### quantize_version: 1 -->
19
  <!-- ### output_tensor_quantised: 1 -->
20
  <!-- ### convert_type: -->
21
  <!-- ### vocab_type: -->
22
  static quants of https://huggingface.co/ajibawa-2023/General-Stories-Mistral-7B
23
+
24
+
25
+ <!-- provided-files -->
26
+ 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.
27
+ ## Usage
28
+
29
+ If you are unsure how to use GGUF files, refer to one of [TheBloke's
30
+ READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
31
+ more details, including on how to concatenate multi-part files.
32
+
33
+ ## Provided Quants
34
+
35
+ (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
36
+
37
+ | Link | Type | Size/GB | Notes |
38
+ |:-----|:-----|--------:|:------|
39
+ | [GGUF](https://huggingface.co/mradermacher/General-Stories-Mistral-7B-GGUF/resolve/main/General-Stories-Mistral-7B.Q2_K.gguf) | Q2_K | 2.8 | |
40
+ | [GGUF](https://huggingface.co/mradermacher/General-Stories-Mistral-7B-GGUF/resolve/main/General-Stories-Mistral-7B.IQ3_XS.gguf) | IQ3_XS | 3.1 | |
41
+ | [GGUF](https://huggingface.co/mradermacher/General-Stories-Mistral-7B-GGUF/resolve/main/General-Stories-Mistral-7B.Q3_K_S.gguf) | Q3_K_S | 3.3 | |
42
+ | [GGUF](https://huggingface.co/mradermacher/General-Stories-Mistral-7B-GGUF/resolve/main/General-Stories-Mistral-7B.IQ3_S.gguf) | IQ3_S | 3.3 | beats Q3_K* |
43
+ | [GGUF](https://huggingface.co/mradermacher/General-Stories-Mistral-7B-GGUF/resolve/main/General-Stories-Mistral-7B.IQ3_M.gguf) | IQ3_M | 3.4 | |
44
+ | [GGUF](https://huggingface.co/mradermacher/General-Stories-Mistral-7B-GGUF/resolve/main/General-Stories-Mistral-7B.Q3_K_M.gguf) | Q3_K_M | 3.6 | lower quality |
45
+ | [GGUF](https://huggingface.co/mradermacher/General-Stories-Mistral-7B-GGUF/resolve/main/General-Stories-Mistral-7B.Q3_K_L.gguf) | Q3_K_L | 3.9 | |
46
+ | [GGUF](https://huggingface.co/mradermacher/General-Stories-Mistral-7B-GGUF/resolve/main/General-Stories-Mistral-7B.IQ4_XS.gguf) | IQ4_XS | 4.0 | |
47
+ | [GGUF](https://huggingface.co/mradermacher/General-Stories-Mistral-7B-GGUF/resolve/main/General-Stories-Mistral-7B.Q4_K_S.gguf) | Q4_K_S | 4.2 | fast, recommended |
48
+ | [GGUF](https://huggingface.co/mradermacher/General-Stories-Mistral-7B-GGUF/resolve/main/General-Stories-Mistral-7B.Q4_K_M.gguf) | Q4_K_M | 4.5 | fast, recommended |
49
+ | [GGUF](https://huggingface.co/mradermacher/General-Stories-Mistral-7B-GGUF/resolve/main/General-Stories-Mistral-7B.Q5_K_S.gguf) | Q5_K_S | 5.1 | |
50
+ | [GGUF](https://huggingface.co/mradermacher/General-Stories-Mistral-7B-GGUF/resolve/main/General-Stories-Mistral-7B.Q5_K_M.gguf) | Q5_K_M | 5.2 | |
51
+ | [GGUF](https://huggingface.co/mradermacher/General-Stories-Mistral-7B-GGUF/resolve/main/General-Stories-Mistral-7B.Q6_K.gguf) | Q6_K | 6.0 | very good quality |
52
+ | [GGUF](https://huggingface.co/mradermacher/General-Stories-Mistral-7B-GGUF/resolve/main/General-Stories-Mistral-7B.Q8_0.gguf) | Q8_0 | 7.8 | fast, best quality |
53
+
54
+
55
+ Here is a handy graph by ikawrakow comparing some lower-quality quant
56
+ types (lower is better):
57
+
58
+ ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
59
+
60
+ And here are Artefact2's thoughts on the matter:
61
+ https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
62
+
63
+ ## Thanks
64
+
65
+ I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
66
+ me use its servers and providing upgrades to my workstation to enable
67
+ this work in my free time.
68
+
69
+ <!-- end -->