Transformers
GGUF
English
roleplay
Not-For-All-Audiences
Inference Endpoints
mradermacher commited on
Commit
b0618bc
1 Parent(s): e42ca55

auto-patch README.md

Browse files
Files changed (1) hide show
  1. README.md +66 -0
README.md CHANGED
@@ -1,5 +1,71 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  <!-- ### quantize_version: 1 -->
2
  <!-- ### output_tensor_quantised: 1 -->
3
  <!-- ### convert_type: -->
4
  <!-- ### vocab_type: -->
5
  weighted/imatrix quants of https://huggingface.co/TriadParty/deepsex-34b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ datasets:
3
+ - lemonilia/LimaRP
4
+ - PygmalionAI/PIPPA
5
+ exported_from: TriadParty/deepsex-34b
6
+ language:
7
+ - en
8
+ library_name: transformers
9
+ license: mit
10
+ quantized_by: mradermacher
11
+ tags:
12
+ - roleplay
13
+ - not-for-all-audiences
14
+ ---
15
+ ## About
16
+
17
  <!-- ### quantize_version: 1 -->
18
  <!-- ### output_tensor_quantised: 1 -->
19
  <!-- ### convert_type: -->
20
  <!-- ### vocab_type: -->
21
  weighted/imatrix quants of https://huggingface.co/TriadParty/deepsex-34b
22
+
23
+
24
+ <!-- provided-files -->
25
+ static quants are available at https://huggingface.co/mradermacher/deepsex-34b-GGUF
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/deepsex-34b-i1-GGUF/resolve/main/deepsex-34b.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 9.4 | |
39
+ | [GGUF](https://huggingface.co/mradermacher/deepsex-34b-i1-GGUF/resolve/main/deepsex-34b.i1-IQ2_M.gguf) | i1-IQ2_M | 11.9 | |
40
+ | [GGUF](https://huggingface.co/mradermacher/deepsex-34b-i1-GGUF/resolve/main/deepsex-34b.i1-Q2_K.gguf) | i1-Q2_K | 12.9 | IQ3_XXS probably better |
41
+ | [GGUF](https://huggingface.co/mradermacher/deepsex-34b-i1-GGUF/resolve/main/deepsex-34b.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 13.4 | lower quality |
42
+ | [GGUF](https://huggingface.co/mradermacher/deepsex-34b-i1-GGUF/resolve/main/deepsex-34b.i1-IQ3_XS.gguf) | i1-IQ3_XS | 14.3 | |
43
+ | [GGUF](https://huggingface.co/mradermacher/deepsex-34b-i1-GGUF/resolve/main/deepsex-34b.i1-Q3_K_S.gguf) | i1-Q3_K_S | 15.1 | IQ3_XS probably better |
44
+ | [GGUF](https://huggingface.co/mradermacher/deepsex-34b-i1-GGUF/resolve/main/deepsex-34b.i1-IQ3_S.gguf) | i1-IQ3_S | 15.1 | beats Q3_K* |
45
+ | [GGUF](https://huggingface.co/mradermacher/deepsex-34b-i1-GGUF/resolve/main/deepsex-34b.i1-IQ3_M.gguf) | i1-IQ3_M | 15.7 | |
46
+ | [GGUF](https://huggingface.co/mradermacher/deepsex-34b-i1-GGUF/resolve/main/deepsex-34b.i1-Q3_K_M.gguf) | i1-Q3_K_M | 16.8 | IQ3_S probably better |
47
+ | [GGUF](https://huggingface.co/mradermacher/deepsex-34b-i1-GGUF/resolve/main/deepsex-34b.i1-Q3_K_L.gguf) | i1-Q3_K_L | 18.2 | IQ3_M probably better |
48
+ | [GGUF](https://huggingface.co/mradermacher/deepsex-34b-i1-GGUF/resolve/main/deepsex-34b.i1-IQ4_XS.gguf) | i1-IQ4_XS | 18.6 | |
49
+ | [GGUF](https://huggingface.co/mradermacher/deepsex-34b-i1-GGUF/resolve/main/deepsex-34b.i1-Q4_0.gguf) | i1-Q4_0 | 19.6 | fast, low quality |
50
+ | [GGUF](https://huggingface.co/mradermacher/deepsex-34b-i1-GGUF/resolve/main/deepsex-34b.i1-Q4_K_S.gguf) | i1-Q4_K_S | 19.7 | optimal size/speed/quality |
51
+ | [GGUF](https://huggingface.co/mradermacher/deepsex-34b-i1-GGUF/resolve/main/deepsex-34b.i1-Q4_K_M.gguf) | i1-Q4_K_M | 20.8 | fast, recommended |
52
+ | [GGUF](https://huggingface.co/mradermacher/deepsex-34b-i1-GGUF/resolve/main/deepsex-34b.i1-Q5_K_S.gguf) | i1-Q5_K_S | 23.8 | |
53
+ | [GGUF](https://huggingface.co/mradermacher/deepsex-34b-i1-GGUF/resolve/main/deepsex-34b.i1-Q5_K_M.gguf) | i1-Q5_K_M | 24.4 | |
54
+ | [GGUF](https://huggingface.co/mradermacher/deepsex-34b-i1-GGUF/resolve/main/deepsex-34b.i1-Q6_K.gguf) | i1-Q6_K | 28.3 | practically like static Q6_K |
55
+
56
+
57
+ Here is a handy graph by ikawrakow comparing some lower-quality quant
58
+ types (lower is better):
59
+
60
+ ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
61
+
62
+ And here are Artefact2's thoughts on the matter:
63
+ https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
64
+
65
+ ## Thanks
66
+
67
+ I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
68
+ me use its servers and providing upgrades to my workstation to enable
69
+ this work in my free time.
70
+
71
+ <!-- end -->