mradermacher commited on
Commit
0e78aac
1 Parent(s): 5236903

auto-patch README.md

Browse files
Files changed (1) hide show
  1. README.md +68 -0
README.md CHANGED
@@ -1,6 +1,74 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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/theprint/Boptruth-Agatha-7B
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: theprint/Boptruth-Agatha-7B
3
+ datasets:
4
+ - theprint/MysteryWriter
5
+ language:
6
+ - en
7
+ library_name: transformers
8
+ quantized_by: mradermacher
9
+ tags:
10
+ - gpt
11
+ - llm
12
+ - large language model
13
+ - h2o-llmstudio
14
+ - theprint
15
+ - boptruth
16
+ ---
17
+ ## About
18
+
19
  <!-- ### quantize_version: 2 -->
20
  <!-- ### output_tensor_quantised: 1 -->
21
  <!-- ### convert_type: hf -->
22
  <!-- ### vocab_type: -->
23
  <!-- ### tags: -->
24
  static quants of https://huggingface.co/theprint/Boptruth-Agatha-7B
25
+
26
+ <!-- provided-files -->
27
+ weighted/imatrix quants are available at https://huggingface.co/mradermacher/Boptruth-Agatha-7B-i1-GGUF
28
+ ## Usage
29
+
30
+ If you are unsure how to use GGUF files, refer to one of [TheBloke's
31
+ READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
32
+ more details, including on how to concatenate multi-part files.
33
+
34
+ ## Provided Quants
35
+
36
+ (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
37
+
38
+ | Link | Type | Size/GB | Notes |
39
+ |:-----|:-----|--------:|:------|
40
+ | [GGUF](https://huggingface.co/mradermacher/Boptruth-Agatha-7B-GGUF/resolve/main/Boptruth-Agatha-7B.Q2_K.gguf) | Q2_K | 2.8 | |
41
+ | [GGUF](https://huggingface.co/mradermacher/Boptruth-Agatha-7B-GGUF/resolve/main/Boptruth-Agatha-7B.IQ3_XS.gguf) | IQ3_XS | 3.1 | |
42
+ | [GGUF](https://huggingface.co/mradermacher/Boptruth-Agatha-7B-GGUF/resolve/main/Boptruth-Agatha-7B.Q3_K_S.gguf) | Q3_K_S | 3.3 | |
43
+ | [GGUF](https://huggingface.co/mradermacher/Boptruth-Agatha-7B-GGUF/resolve/main/Boptruth-Agatha-7B.IQ3_S.gguf) | IQ3_S | 3.3 | beats Q3_K* |
44
+ | [GGUF](https://huggingface.co/mradermacher/Boptruth-Agatha-7B-GGUF/resolve/main/Boptruth-Agatha-7B.IQ3_M.gguf) | IQ3_M | 3.4 | |
45
+ | [GGUF](https://huggingface.co/mradermacher/Boptruth-Agatha-7B-GGUF/resolve/main/Boptruth-Agatha-7B.Q3_K_M.gguf) | Q3_K_M | 3.6 | lower quality |
46
+ | [GGUF](https://huggingface.co/mradermacher/Boptruth-Agatha-7B-GGUF/resolve/main/Boptruth-Agatha-7B.Q3_K_L.gguf) | Q3_K_L | 3.9 | |
47
+ | [GGUF](https://huggingface.co/mradermacher/Boptruth-Agatha-7B-GGUF/resolve/main/Boptruth-Agatha-7B.IQ4_XS.gguf) | IQ4_XS | 4.0 | |
48
+ | [GGUF](https://huggingface.co/mradermacher/Boptruth-Agatha-7B-GGUF/resolve/main/Boptruth-Agatha-7B.Q4_K_S.gguf) | Q4_K_S | 4.2 | fast, recommended |
49
+ | [GGUF](https://huggingface.co/mradermacher/Boptruth-Agatha-7B-GGUF/resolve/main/Boptruth-Agatha-7B.Q4_K_M.gguf) | Q4_K_M | 4.5 | fast, recommended |
50
+ | [GGUF](https://huggingface.co/mradermacher/Boptruth-Agatha-7B-GGUF/resolve/main/Boptruth-Agatha-7B.Q5_K_S.gguf) | Q5_K_S | 5.1 | |
51
+ | [GGUF](https://huggingface.co/mradermacher/Boptruth-Agatha-7B-GGUF/resolve/main/Boptruth-Agatha-7B.Q5_K_M.gguf) | Q5_K_M | 5.2 | |
52
+ | [GGUF](https://huggingface.co/mradermacher/Boptruth-Agatha-7B-GGUF/resolve/main/Boptruth-Agatha-7B.Q6_K.gguf) | Q6_K | 6.0 | very good quality |
53
+ | [GGUF](https://huggingface.co/mradermacher/Boptruth-Agatha-7B-GGUF/resolve/main/Boptruth-Agatha-7B.Q8_0.gguf) | Q8_0 | 7.8 | fast, best quality |
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
+ ## FAQ / Model Request
64
+
65
+ See https://huggingface.co/mradermacher/model_requests for some answers to
66
+ questions you might have and/or if you want some other model quantized.
67
+
68
+ ## Thanks
69
+
70
+ I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
71
+ me use its servers and providing upgrades to my workstation to enable
72
+ this work in my free time.
73
+
74
+ <!-- end -->