mradermacher commited on
Commit
c43c0d0
1 Parent(s): 670f6a5

auto-patch README.md

Browse files
Files changed (1) hide show
  1. README.md +60 -0
README.md CHANGED
@@ -1,6 +1,66 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  <!-- ### quantize_version: 2 -->
2
  <!-- ### output_tensor_quantised: 1 -->
3
  <!-- ### convert_type: hf -->
4
  <!-- ### vocab_type: -->
5
  <!-- ### tags: nicoboss -->
6
  static quants of https://huggingface.co/yam-peleg/Hebrew-Gemma-11B
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: yam-peleg/Hebrew-Gemma-11B
3
+ language:
4
+ - en
5
+ - he
6
+ library_name: transformers
7
+ license: other
8
+ license_link: https://ai.google.dev/gemma/terms
9
+ license_name: gemma-terms-of-use
10
+ quantized_by: mradermacher
11
+ ---
12
+ ## About
13
+
14
  <!-- ### quantize_version: 2 -->
15
  <!-- ### output_tensor_quantised: 1 -->
16
  <!-- ### convert_type: hf -->
17
  <!-- ### vocab_type: -->
18
  <!-- ### tags: nicoboss -->
19
  static quants of https://huggingface.co/yam-peleg/Hebrew-Gemma-11B
20
+
21
+ <!-- provided-files -->
22
+ 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.
23
+ ## Usage
24
+
25
+ If you are unsure how to use GGUF files, refer to one of [TheBloke's
26
+ READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
27
+ more details, including on how to concatenate multi-part files.
28
+
29
+ ## Provided Quants
30
+
31
+ (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
32
+
33
+ | Link | Type | Size/GB | Notes |
34
+ |:-----|:-----|--------:|:------|
35
+ | [GGUF](https://huggingface.co/mradermacher/Hebrew-Gemma-11B-GGUF/resolve/main/Hebrew-Gemma-11B.Q2_K.gguf) | Q2_K | 4.3 | |
36
+ | [GGUF](https://huggingface.co/mradermacher/Hebrew-Gemma-11B-GGUF/resolve/main/Hebrew-Gemma-11B.Q3_K_S.gguf) | Q3_K_S | 4.9 | |
37
+ | [GGUF](https://huggingface.co/mradermacher/Hebrew-Gemma-11B-GGUF/resolve/main/Hebrew-Gemma-11B.Q3_K_M.gguf) | Q3_K_M | 5.4 | lower quality |
38
+ | [GGUF](https://huggingface.co/mradermacher/Hebrew-Gemma-11B-GGUF/resolve/main/Hebrew-Gemma-11B.Q3_K_L.gguf) | Q3_K_L | 5.8 | |
39
+ | [GGUF](https://huggingface.co/mradermacher/Hebrew-Gemma-11B-GGUF/resolve/main/Hebrew-Gemma-11B.Q4_K_S.gguf) | Q4_K_S | 6.2 | fast, recommended |
40
+ | [GGUF](https://huggingface.co/mradermacher/Hebrew-Gemma-11B-GGUF/resolve/main/Hebrew-Gemma-11B.Q4_K_M.gguf) | Q4_K_M | 6.6 | fast, recommended |
41
+ | [GGUF](https://huggingface.co/mradermacher/Hebrew-Gemma-11B-GGUF/resolve/main/Hebrew-Gemma-11B.Q5_K_S.gguf) | Q5_K_S | 7.4 | |
42
+ | [GGUF](https://huggingface.co/mradermacher/Hebrew-Gemma-11B-GGUF/resolve/main/Hebrew-Gemma-11B.Q5_K_M.gguf) | Q5_K_M | 7.6 | |
43
+ | [GGUF](https://huggingface.co/mradermacher/Hebrew-Gemma-11B-GGUF/resolve/main/Hebrew-Gemma-11B.Q6_K.gguf) | Q6_K | 8.7 | very good quality |
44
+ | [GGUF](https://huggingface.co/mradermacher/Hebrew-Gemma-11B-GGUF/resolve/main/Hebrew-Gemma-11B.Q8_0.gguf) | Q8_0 | 11.2 | fast, best quality |
45
+ | [GGUF](https://huggingface.co/mradermacher/Hebrew-Gemma-11B-GGUF/resolve/main/Hebrew-Gemma-11B.f16.gguf) | f16 | 21.1 | 16 bpw, overkill |
46
+
47
+ Here is a handy graph by ikawrakow comparing some lower-quality quant
48
+ types (lower is better):
49
+
50
+ ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
51
+
52
+ And here are Artefact2's thoughts on the matter:
53
+ https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
54
+
55
+ ## FAQ / Model Request
56
+
57
+ See https://huggingface.co/mradermacher/model_requests for some answers to
58
+ questions you might have and/or if you want some other model quantized.
59
+
60
+ ## Thanks
61
+
62
+ I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
63
+ me use its servers and providing upgrades to my workstation to enable
64
+ this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.
65
+
66
+ <!-- end -->