mradermacher commited on
Commit
b3c460d
1 Parent(s): 7b74c1d

auto-patch README.md

Browse files
Files changed (1) hide show
  1. README.md +73 -0
README.md CHANGED
@@ -1,6 +1,79 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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/vicgalle/Merge-Mixtral-Prometheus-8x7B
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: vicgalle/Merge-Mixtral-Prometheus-8x7B
3
+ language:
4
+ - en
5
+ library_name: transformers
6
+ license: apache-2.0
7
+ quantized_by: mradermacher
8
+ tags:
9
+ - merge
10
+ - mergekit
11
+ - lazymergekit
12
+ - prometheus-eval/prometheus-8x7b-v2.0
13
+ - mistralai/Mixtral-8x7B-Instruct-v0.1
14
+ ---
15
+ ## About
16
+
17
  <!-- ### quantize_version: 2 -->
18
  <!-- ### output_tensor_quantised: 1 -->
19
  <!-- ### convert_type: hf -->
20
  <!-- ### vocab_type: -->
21
  <!-- ### tags: nicoboss -->
22
  weighted/imatrix quants of https://huggingface.co/vicgalle/Merge-Mixtral-Prometheus-8x7B
23
+
24
+ <!-- provided-files -->
25
+ static quants are available at https://huggingface.co/mradermacher/Merge-Mixtral-Prometheus-8x7B-GGUF
26
+ ## Usage
27
+
28
+ If you are unsure how to use GGUF files, refer to one of [TheBloke's
29
+ READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
30
+ more details, including on how to concatenate multi-part files.
31
+
32
+ ## Provided Quants
33
+
34
+ (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
35
+
36
+ | Link | Type | Size/GB | Notes |
37
+ |:-----|:-----|--------:|:------|
38
+ | [GGUF](https://huggingface.co/mradermacher/Merge-Mixtral-Prometheus-8x7B-i1-GGUF/resolve/main/Merge-Mixtral-Prometheus-8x7B.i1-IQ1_S.gguf) | i1-IQ1_S | 9.9 | for the desperate |
39
+ | [GGUF](https://huggingface.co/mradermacher/Merge-Mixtral-Prometheus-8x7B-i1-GGUF/resolve/main/Merge-Mixtral-Prometheus-8x7B.i1-IQ1_M.gguf) | i1-IQ1_M | 10.9 | mostly desperate |
40
+ | [GGUF](https://huggingface.co/mradermacher/Merge-Mixtral-Prometheus-8x7B-i1-GGUF/resolve/main/Merge-Mixtral-Prometheus-8x7B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 12.7 | |
41
+ | [GGUF](https://huggingface.co/mradermacher/Merge-Mixtral-Prometheus-8x7B-i1-GGUF/resolve/main/Merge-Mixtral-Prometheus-8x7B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 14.0 | |
42
+ | [GGUF](https://huggingface.co/mradermacher/Merge-Mixtral-Prometheus-8x7B-i1-GGUF/resolve/main/Merge-Mixtral-Prometheus-8x7B.i1-IQ2_S.gguf) | i1-IQ2_S | 14.2 | |
43
+ | [GGUF](https://huggingface.co/mradermacher/Merge-Mixtral-Prometheus-8x7B-i1-GGUF/resolve/main/Merge-Mixtral-Prometheus-8x7B.i1-IQ2_M.gguf) | i1-IQ2_M | 15.6 | |
44
+ | [GGUF](https://huggingface.co/mradermacher/Merge-Mixtral-Prometheus-8x7B-i1-GGUF/resolve/main/Merge-Mixtral-Prometheus-8x7B.i1-Q2_K.gguf) | i1-Q2_K | 17.4 | IQ3_XXS probably better |
45
+ | [GGUF](https://huggingface.co/mradermacher/Merge-Mixtral-Prometheus-8x7B-i1-GGUF/resolve/main/Merge-Mixtral-Prometheus-8x7B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 18.3 | lower quality |
46
+ | [GGUF](https://huggingface.co/mradermacher/Merge-Mixtral-Prometheus-8x7B-i1-GGUF/resolve/main/Merge-Mixtral-Prometheus-8x7B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 19.5 | |
47
+ | [GGUF](https://huggingface.co/mradermacher/Merge-Mixtral-Prometheus-8x7B-i1-GGUF/resolve/main/Merge-Mixtral-Prometheus-8x7B.i1-IQ3_S.gguf) | i1-IQ3_S | 20.5 | beats Q3_K* |
48
+ | [GGUF](https://huggingface.co/mradermacher/Merge-Mixtral-Prometheus-8x7B-i1-GGUF/resolve/main/Merge-Mixtral-Prometheus-8x7B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 20.5 | IQ3_XS probably better |
49
+ | [GGUF](https://huggingface.co/mradermacher/Merge-Mixtral-Prometheus-8x7B-i1-GGUF/resolve/main/Merge-Mixtral-Prometheus-8x7B.i1-IQ3_M.gguf) | i1-IQ3_M | 21.5 | |
50
+ | [GGUF](https://huggingface.co/mradermacher/Merge-Mixtral-Prometheus-8x7B-i1-GGUF/resolve/main/Merge-Mixtral-Prometheus-8x7B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 22.6 | IQ3_S probably better |
51
+ | [GGUF](https://huggingface.co/mradermacher/Merge-Mixtral-Prometheus-8x7B-i1-GGUF/resolve/main/Merge-Mixtral-Prometheus-8x7B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 24.3 | IQ3_M probably better |
52
+ | [GGUF](https://huggingface.co/mradermacher/Merge-Mixtral-Prometheus-8x7B-i1-GGUF/resolve/main/Merge-Mixtral-Prometheus-8x7B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 25.2 | |
53
+ | [GGUF](https://huggingface.co/mradermacher/Merge-Mixtral-Prometheus-8x7B-i1-GGUF/resolve/main/Merge-Mixtral-Prometheus-8x7B.i1-Q4_0.gguf) | i1-Q4_0 | 26.7 | fast, low quality |
54
+ | [GGUF](https://huggingface.co/mradermacher/Merge-Mixtral-Prometheus-8x7B-i1-GGUF/resolve/main/Merge-Mixtral-Prometheus-8x7B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 26.8 | optimal size/speed/quality |
55
+ | [GGUF](https://huggingface.co/mradermacher/Merge-Mixtral-Prometheus-8x7B-i1-GGUF/resolve/main/Merge-Mixtral-Prometheus-8x7B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 28.5 | fast, recommended |
56
+ | [GGUF](https://huggingface.co/mradermacher/Merge-Mixtral-Prometheus-8x7B-i1-GGUF/resolve/main/Merge-Mixtral-Prometheus-8x7B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 32.3 | |
57
+ | [GGUF](https://huggingface.co/mradermacher/Merge-Mixtral-Prometheus-8x7B-i1-GGUF/resolve/main/Merge-Mixtral-Prometheus-8x7B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 33.3 | |
58
+ | [GGUF](https://huggingface.co/mradermacher/Merge-Mixtral-Prometheus-8x7B-i1-GGUF/resolve/main/Merge-Mixtral-Prometheus-8x7B.i1-Q6_K.gguf) | i1-Q6_K | 38.5 | practically like static Q6_K |
59
+
60
+ Here is a handy graph by ikawrakow comparing some lower-quality quant
61
+ types (lower is better):
62
+
63
+ ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
64
+
65
+ And here are Artefact2's thoughts on the matter:
66
+ https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
67
+
68
+ ## FAQ / Model Request
69
+
70
+ See https://huggingface.co/mradermacher/model_requests for some answers to
71
+ questions you might have and/or if you want some other model quantized.
72
+
73
+ ## Thanks
74
+
75
+ I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
76
+ me use its servers and providing upgrades to my workstation to enable
77
+ 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.
78
+
79
+ <!-- end -->