Transformers
GGUF
English
Inference Endpoints
mradermacher commited on
Commit
2c61922
1 Parent(s): 5a143cb

auto-patch README.md

Browse files
Files changed (1) hide show
  1. README.md +70 -0
README.md CHANGED
@@ -1,5 +1,75 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  <!-- ### quantize_version: 2 -->
2
  <!-- ### output_tensor_quantised: 1 -->
3
  <!-- ### convert_type: hf -->
4
  <!-- ### vocab_type: -->
5
  weighted/imatrix quants of https://huggingface.co/tdrussell/Mixtral-8x22B-Capyboros-v1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: tdrussell/Mixtral-8x22B-Capyboros-v1
3
+ datasets:
4
+ - ssmi153/Capybara-ShareGPT
5
+ - jondurbin/airoboros-3.2
6
+ language:
7
+ - en
8
+ library_name: transformers
9
+ license: apache-2.0
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
  weighted/imatrix quants of https://huggingface.co/tdrussell/Mixtral-8x22B-Capyboros-v1
19
+
20
+ <!-- provided-files -->
21
+ static quants are available at https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-GGUF
22
+ ## Usage
23
+
24
+ If you are unsure how to use GGUF files, refer to one of [TheBloke's
25
+ READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
26
+ more details, including on how to concatenate multi-part files.
27
+
28
+ ## Provided Quants
29
+
30
+ (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
31
+
32
+ | Link | Type | Size/GB | Notes |
33
+ |:-----|:-----|--------:|:------|
34
+ | [GGUF](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-IQ1_S.gguf) | i1-IQ1_S | 29.7 | for the desperate |
35
+ | [GGUF](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-IQ1_M.gguf) | i1-IQ1_M | 32.8 | mostly desperate |
36
+ | [GGUF](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 38.0 | |
37
+ | [GGUF](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-IQ2_XS.gguf) | i1-IQ2_XS | 42.1 | |
38
+ | [GGUF](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-IQ2_S.gguf) | i1-IQ2_S | 42.7 | |
39
+ | [GGUF](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-IQ2_M.gguf) | i1-IQ2_M | 46.8 | |
40
+ | [PART 1](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-Q2_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-Q2_K.gguf.part2of2) | i1-Q2_K | 52.2 | IQ3_XXS probably better |
41
+ | [PART 1](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-IQ3_XXS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-IQ3_XXS.gguf.part2of2) | i1-IQ3_XXS | 55.0 | lower quality |
42
+ | [PART 1](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-IQ3_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-IQ3_XS.gguf.part2of2) | i1-IQ3_XS | 58.3 | |
43
+ | [PART 1](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-IQ3_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-IQ3_S.gguf.part2of2) | i1-IQ3_S | 61.6 | beats Q3_K* |
44
+ | [PART 1](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-Q3_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-Q3_K_S.gguf.part2of2) | i1-Q3_K_S | 61.6 | IQ3_XS probably better |
45
+ | [PART 1](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-IQ3_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-IQ3_M.gguf.part2of2) | i1-IQ3_M | 64.6 | |
46
+ | [PART 1](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-Q3_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-Q3_K_M.gguf.part2of2) | i1-Q3_K_M | 67.9 | IQ3_S probably better |
47
+ | [PART 1](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-Q3_K_L.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-Q3_K_L.gguf.part2of2) | i1-Q3_K_L | 72.7 | IQ3_M probably better |
48
+ | [PART 1](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-IQ4_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-IQ4_XS.gguf.part2of2) | i1-IQ4_XS | 75.6 | |
49
+ | [PART 1](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-Q4_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-Q4_0.gguf.part2of2) | i1-Q4_0 | 80.0 | fast, low quality |
50
+ | [PART 1](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-Q4_K_S.gguf.part2of2) | i1-Q4_K_S | 80.6 | optimal size/speed/quality |
51
+ | [PART 1](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-Q4_K_M.gguf.part2of2) | i1-Q4_K_M | 85.7 | fast, recommended |
52
+ | [PART 1](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-Q5_K_S.gguf.part2of2) | i1-Q5_K_S | 97.1 | |
53
+ | [PART 1](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-Q5_K_M.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-Q5_K_M.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-Q5_K_M.gguf.part3of3) | i1-Q5_K_M | 100.1 | |
54
+ | [PART 1](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-Q6_K.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-Q6_K.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/Mixtral-8x22B-Capyboros-v1-i1-GGUF/resolve/main/Mixtral-8x22B-Capyboros-v1.i1-Q6_K.gguf.part3of3) | i1-Q6_K | 115.6 | practically like static Q6_K |
55
+
56
+ Here is a handy graph by ikawrakow comparing some lower-quality quant
57
+ types (lower is better):
58
+
59
+ ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
60
+
61
+ And here are Artefact2's thoughts on the matter:
62
+ https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
63
+
64
+ ## FAQ / Model Request
65
+
66
+ See https://huggingface.co/mradermacher/model_requests for some answers to
67
+ questions you might have and/or if you want some other model quantized.
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 -->