mradermacher commited on
Commit
e20d24f
1 Parent(s): d453c0d

auto-patch README.md

Browse files
Files changed (1) hide show
  1. README.md +76 -0
README.md CHANGED
@@ -1,6 +1,82 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  <!-- ### quantize_version: 2 -->
2
  <!-- ### output_tensor_quantised: 1 -->
3
  <!-- ### convert_type: hf -->
4
  <!-- ### vocab_type: -->
5
  <!-- ### tags: nicoboss -->
6
  weighted/imatrix quants of https://huggingface.co/byroneverson/Mistral-Small-Instruct-2409-abliterated
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: byroneverson/Mistral-Small-Instruct-2409-abliterated
3
+ language:
4
+ - en
5
+ library_name: transformers
6
+ license: other
7
+ license_link: https://mistral.ai/licenses/MRL-0.1.md
8
+ license_name: mrl
9
+ quantized_by: mradermacher
10
+ tags:
11
+ - llm
12
+ - mistral
13
+ - chat
14
+ - instruct
15
+ - it
16
+ - abliterated
17
+ ---
18
+ ## About
19
+
20
  <!-- ### quantize_version: 2 -->
21
  <!-- ### output_tensor_quantised: 1 -->
22
  <!-- ### convert_type: hf -->
23
  <!-- ### vocab_type: -->
24
  <!-- ### tags: nicoboss -->
25
  weighted/imatrix quants of https://huggingface.co/byroneverson/Mistral-Small-Instruct-2409-abliterated
26
+
27
+ <!-- provided-files -->
28
+ static quants are available at https://huggingface.co/mradermacher/Mistral-Small-Instruct-2409-abliterated-GGUF
29
+ ## Usage
30
+
31
+ If you are unsure how to use GGUF files, refer to one of [TheBloke's
32
+ READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
33
+ more details, including on how to concatenate multi-part files.
34
+
35
+ ## Provided Quants
36
+
37
+ (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
38
+
39
+ | Link | Type | Size/GB | Notes |
40
+ |:-----|:-----|--------:|:------|
41
+ | [GGUF](https://huggingface.co/mradermacher/Mistral-Small-Instruct-2409-abliterated-i1-GGUF/resolve/main/Mistral-Small-Instruct-2409-abliterated.i1-IQ1_S.gguf) | i1-IQ1_S | 4.9 | for the desperate |
42
+ | [GGUF](https://huggingface.co/mradermacher/Mistral-Small-Instruct-2409-abliterated-i1-GGUF/resolve/main/Mistral-Small-Instruct-2409-abliterated.i1-IQ1_M.gguf) | i1-IQ1_M | 5.4 | mostly desperate |
43
+ | [GGUF](https://huggingface.co/mradermacher/Mistral-Small-Instruct-2409-abliterated-i1-GGUF/resolve/main/Mistral-Small-Instruct-2409-abliterated.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 6.1 | |
44
+ | [GGUF](https://huggingface.co/mradermacher/Mistral-Small-Instruct-2409-abliterated-i1-GGUF/resolve/main/Mistral-Small-Instruct-2409-abliterated.i1-IQ2_XS.gguf) | i1-IQ2_XS | 6.7 | |
45
+ | [GGUF](https://huggingface.co/mradermacher/Mistral-Small-Instruct-2409-abliterated-i1-GGUF/resolve/main/Mistral-Small-Instruct-2409-abliterated.i1-IQ2_S.gguf) | i1-IQ2_S | 7.1 | |
46
+ | [GGUF](https://huggingface.co/mradermacher/Mistral-Small-Instruct-2409-abliterated-i1-GGUF/resolve/main/Mistral-Small-Instruct-2409-abliterated.i1-IQ2_M.gguf) | i1-IQ2_M | 7.7 | |
47
+ | [GGUF](https://huggingface.co/mradermacher/Mistral-Small-Instruct-2409-abliterated-i1-GGUF/resolve/main/Mistral-Small-Instruct-2409-abliterated.i1-Q2_K.gguf) | i1-Q2_K | 8.4 | IQ3_XXS probably better |
48
+ | [GGUF](https://huggingface.co/mradermacher/Mistral-Small-Instruct-2409-abliterated-i1-GGUF/resolve/main/Mistral-Small-Instruct-2409-abliterated.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 8.7 | lower quality |
49
+ | [GGUF](https://huggingface.co/mradermacher/Mistral-Small-Instruct-2409-abliterated-i1-GGUF/resolve/main/Mistral-Small-Instruct-2409-abliterated.i1-IQ3_XS.gguf) | i1-IQ3_XS | 9.3 | |
50
+ | [GGUF](https://huggingface.co/mradermacher/Mistral-Small-Instruct-2409-abliterated-i1-GGUF/resolve/main/Mistral-Small-Instruct-2409-abliterated.i1-Q3_K_S.gguf) | i1-Q3_K_S | 9.7 | IQ3_XS probably better |
51
+ | [GGUF](https://huggingface.co/mradermacher/Mistral-Small-Instruct-2409-abliterated-i1-GGUF/resolve/main/Mistral-Small-Instruct-2409-abliterated.i1-IQ3_S.gguf) | i1-IQ3_S | 9.8 | beats Q3_K* |
52
+ | [GGUF](https://huggingface.co/mradermacher/Mistral-Small-Instruct-2409-abliterated-i1-GGUF/resolve/main/Mistral-Small-Instruct-2409-abliterated.i1-IQ3_M.gguf) | i1-IQ3_M | 10.2 | |
53
+ | [GGUF](https://huggingface.co/mradermacher/Mistral-Small-Instruct-2409-abliterated-i1-GGUF/resolve/main/Mistral-Small-Instruct-2409-abliterated.i1-Q3_K_M.gguf) | i1-Q3_K_M | 10.9 | IQ3_S probably better |
54
+ | [GGUF](https://huggingface.co/mradermacher/Mistral-Small-Instruct-2409-abliterated-i1-GGUF/resolve/main/Mistral-Small-Instruct-2409-abliterated.i1-Q3_K_L.gguf) | i1-Q3_K_L | 11.8 | IQ3_M probably better |
55
+ | [GGUF](https://huggingface.co/mradermacher/Mistral-Small-Instruct-2409-abliterated-i1-GGUF/resolve/main/Mistral-Small-Instruct-2409-abliterated.i1-IQ4_XS.gguf) | i1-IQ4_XS | 12.0 | |
56
+ | [GGUF](https://huggingface.co/mradermacher/Mistral-Small-Instruct-2409-abliterated-i1-GGUF/resolve/main/Mistral-Small-Instruct-2409-abliterated.i1-Q4_0.gguf) | i1-Q4_0 | 12.7 | fast, low quality |
57
+ | [GGUF](https://huggingface.co/mradermacher/Mistral-Small-Instruct-2409-abliterated-i1-GGUF/resolve/main/Mistral-Small-Instruct-2409-abliterated.i1-Q4_K_S.gguf) | i1-Q4_K_S | 12.8 | optimal size/speed/quality |
58
+ | [GGUF](https://huggingface.co/mradermacher/Mistral-Small-Instruct-2409-abliterated-i1-GGUF/resolve/main/Mistral-Small-Instruct-2409-abliterated.i1-Q4_K_M.gguf) | i1-Q4_K_M | 13.4 | fast, recommended |
59
+ | [GGUF](https://huggingface.co/mradermacher/Mistral-Small-Instruct-2409-abliterated-i1-GGUF/resolve/main/Mistral-Small-Instruct-2409-abliterated.i1-Q5_K_S.gguf) | i1-Q5_K_S | 15.4 | |
60
+ | [GGUF](https://huggingface.co/mradermacher/Mistral-Small-Instruct-2409-abliterated-i1-GGUF/resolve/main/Mistral-Small-Instruct-2409-abliterated.i1-Q5_K_M.gguf) | i1-Q5_K_M | 15.8 | |
61
+ | [GGUF](https://huggingface.co/mradermacher/Mistral-Small-Instruct-2409-abliterated-i1-GGUF/resolve/main/Mistral-Small-Instruct-2409-abliterated.i1-Q6_K.gguf) | i1-Q6_K | 18.4 | practically like static Q6_K |
62
+
63
+ Here is a handy graph by ikawrakow comparing some lower-quality quant
64
+ types (lower is better):
65
+
66
+ ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
67
+
68
+ And here are Artefact2's thoughts on the matter:
69
+ https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
70
+
71
+ ## FAQ / Model Request
72
+
73
+ See https://huggingface.co/mradermacher/model_requests for some answers to
74
+ questions you might have and/or if you want some other model quantized.
75
+
76
+ ## Thanks
77
+
78
+ I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
79
+ me use its servers and providing upgrades to my workstation to enable
80
+ 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.
81
+
82
+ <!-- end -->