Transformers
GGUF
English
chemistry
biology
climate
science
philosophy
nature
ecology
biomimicry
fauna
flora
Inference Endpoints
mradermacher commited on
Commit
411f596
1 Parent(s): 4d92894

auto-patch README.md

Browse files
Files changed (1) hide show
  1. README.md +74 -0
README.md CHANGED
@@ -1 +1,75 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  static quants of https://huggingface.co/Severian/ANIMA-Phi-Neptune-Mistral-7B
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ datasets:
3
+ - Severian/Biomimicry
4
+ - emrgnt-cmplxty/sciphi-textbooks-are-all-you-need
5
+ - fmars/wiki_stem
6
+ - fblgit/tree-of-knowledge
7
+ - Severian/Bio-Design-Process
8
+ exported_from: Severian/ANIMA-Phi-Neptune-Mistral-7B
9
+ language:
10
+ - en
11
+ library_name: transformers
12
+ license: artistic-2.0
13
+ quantized_by: mradermacher
14
+ tags:
15
+ - chemistry
16
+ - biology
17
+ - climate
18
+ - science
19
+ - philosophy
20
+ - nature
21
+ - ecology
22
+ - biomimicry
23
+ - fauna
24
+ - flora
25
+ ---
26
+ ## About
27
+
28
  static quants of https://huggingface.co/Severian/ANIMA-Phi-Neptune-Mistral-7B
29
+
30
+
31
+ <!-- provided-files -->
32
+ 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.
33
+ ## Usage
34
+
35
+ If you are unsure how to use GGUF files, refer to one of [TheBloke's
36
+ READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
37
+ more details, including on how to concatenate multi-part files.
38
+
39
+ ## Provided Quants
40
+
41
+ (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
42
+
43
+ | Link | Type | Size/GB | Notes |
44
+ |:-----|:-----|--------:|:------|
45
+ | [GGUF](https://huggingface.co/mradermacher/ANIMA-Phi-Neptune-Mistral-7B-GGUF/resolve/main/ANIMA-Phi-Neptune-Mistral-7B.Q2_K.gguf) | Q2_K | 3.0 | |
46
+ | [GGUF](https://huggingface.co/mradermacher/ANIMA-Phi-Neptune-Mistral-7B-GGUF/resolve/main/ANIMA-Phi-Neptune-Mistral-7B.IQ3_XS.gguf) | IQ3_XS | 3.3 | |
47
+ | [GGUF](https://huggingface.co/mradermacher/ANIMA-Phi-Neptune-Mistral-7B-GGUF/resolve/main/ANIMA-Phi-Neptune-Mistral-7B.Q3_K_S.gguf) | Q3_K_S | 3.4 | |
48
+ | [GGUF](https://huggingface.co/mradermacher/ANIMA-Phi-Neptune-Mistral-7B-GGUF/resolve/main/ANIMA-Phi-Neptune-Mistral-7B.IQ3_S.gguf) | IQ3_S | 3.4 | beats Q3_K* |
49
+ | [GGUF](https://huggingface.co/mradermacher/ANIMA-Phi-Neptune-Mistral-7B-GGUF/resolve/main/ANIMA-Phi-Neptune-Mistral-7B.IQ3_M.gguf) | IQ3_M | 3.5 | |
50
+ | [GGUF](https://huggingface.co/mradermacher/ANIMA-Phi-Neptune-Mistral-7B-GGUF/resolve/main/ANIMA-Phi-Neptune-Mistral-7B.Q3_K_M.gguf) | Q3_K_M | 3.8 | lower quality |
51
+ | [GGUF](https://huggingface.co/mradermacher/ANIMA-Phi-Neptune-Mistral-7B-GGUF/resolve/main/ANIMA-Phi-Neptune-Mistral-7B.Q3_K_L.gguf) | Q3_K_L | 4.1 | |
52
+ | [GGUF](https://huggingface.co/mradermacher/ANIMA-Phi-Neptune-Mistral-7B-GGUF/resolve/main/ANIMA-Phi-Neptune-Mistral-7B.IQ4_XS.gguf) | IQ4_XS | 4.2 | |
53
+ | [GGUF](https://huggingface.co/mradermacher/ANIMA-Phi-Neptune-Mistral-7B-GGUF/resolve/main/ANIMA-Phi-Neptune-Mistral-7B.Q4_K_S.gguf) | Q4_K_S | 4.4 | fast, recommended |
54
+ | [GGUF](https://huggingface.co/mradermacher/ANIMA-Phi-Neptune-Mistral-7B-GGUF/resolve/main/ANIMA-Phi-Neptune-Mistral-7B.Q4_K_M.gguf) | Q4_K_M | 4.6 | fast, recommended |
55
+ | [GGUF](https://huggingface.co/mradermacher/ANIMA-Phi-Neptune-Mistral-7B-GGUF/resolve/main/ANIMA-Phi-Neptune-Mistral-7B.Q5_K_S.gguf) | Q5_K_S | 5.3 | |
56
+ | [GGUF](https://huggingface.co/mradermacher/ANIMA-Phi-Neptune-Mistral-7B-GGUF/resolve/main/ANIMA-Phi-Neptune-Mistral-7B.Q5_K_M.gguf) | Q5_K_M | 5.4 | |
57
+ | [GGUF](https://huggingface.co/mradermacher/ANIMA-Phi-Neptune-Mistral-7B-GGUF/resolve/main/ANIMA-Phi-Neptune-Mistral-7B.Q6_K.gguf) | Q6_K | 6.2 | very good quality |
58
+ | [GGUF](https://huggingface.co/mradermacher/ANIMA-Phi-Neptune-Mistral-7B-GGUF/resolve/main/ANIMA-Phi-Neptune-Mistral-7B.Q8_0.gguf) | Q8_0 | 7.9 | fast, best quality |
59
+
60
+
61
+ Here is a handy graph by ikawrakow comparing some lower-quality quant
62
+ types (lower is better):
63
+
64
+ ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
65
+
66
+ And here are Artefact2's thoughts on the matter:
67
+ https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
68
+
69
+ ## Thanks
70
+
71
+ I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
72
+ me use its servers and providing upgrades to my workstation to enable
73
+ this work in my free time.
74
+
75
+ <!-- end -->