Update README.md
Browse files
README.md
CHANGED
@@ -1,10 +1,106 @@
|
|
1 |
---
|
2 |
license: apache-2.0
|
3 |
pipeline_tag: text-generation
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
4 |
---
|
5 |
# Mixtral-8x22b
|
6 |
New MoE model by MistralAI
|
7 |
|
8 |
-
Model
|
|
|
|
|
|
|
|
|
9 |
|
10 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
---
|
2 |
license: apache-2.0
|
3 |
pipeline_tag: text-generation
|
4 |
+
language:
|
5 |
+
- en
|
6 |
+
- fr
|
7 |
+
- es
|
8 |
+
library_name: transformers
|
9 |
+
tags:
|
10 |
+
- moe
|
11 |
+
- text-generation-inference
|
12 |
---
|
13 |
# Mixtral-8x22b
|
14 |
New MoE model by MistralAI
|
15 |
|
16 |
+
## Model Details:
|
17 |
+
- 65k context window
|
18 |
+
- 48 attention heads
|
19 |
+
- 56 layers
|
20 |
+
- 8 experts
|
21 |
|
22 |
+
The model is split into 27 parts, from the original torrent.
|
23 |
+
|
24 |
+
Magnet link and checksum: [https://twitter.com/mistralai/status/1777869263778291896](https://twitter.com/mistralai/status/1777869263778291896)
|
25 |
+
|
26 |
+
## How to use:
|
27 |
+
Run git clone:
|
28 |
+
```
|
29 |
+
git clone https://huggingface.co/leafspark/mixtral-8x22b
|
30 |
+
cd mixtral-8x22b
|
31 |
+
```
|
32 |
+
Make sure you have Python 2 or 3 installed (HuggingFace libraries not required):
|
33 |
+
```
|
34 |
+
python merge.py
|
35 |
+
```
|
36 |
+
This should take approximately 2 hours, you will be left with a 274GB file.
|
37 |
+
|
38 |
+
Check the MD5 hash of consolidated.safetensors:
|
39 |
+
```
|
40 |
+
3816cd2c4f827b4b868bc6481d5d3ba2
|
41 |
+
```
|
42 |
+
|
43 |
+
That's it! Now you have the complete torrent download on your computer.
|
44 |
+
|
45 |
+
## Credit to:
|
46 |
+
|
47 |
+
βββββ
|
48 |
+
ββββββββββββββββββ
|
49 |
+
βββββββββββββββββββββββββββββββ
|
50 |
+
ββββββββββββββββββββββββββββββββββ
|
51 |
+
ββββββββββββββ ββββββββββββββββββββββββββββββββββ
|
52 |
+
βββββββββββββββββββββββββββββ βββββββββββββββββββββββββββββββββββ
|
53 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
54 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
55 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
56 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
57 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
58 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
59 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
60 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
61 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
62 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
63 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
64 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
65 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββοΏ½οΏ½οΏ½βββββββββββββββββββββββ
|
66 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
67 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
68 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
69 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
70 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
71 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
72 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
73 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
74 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
75 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
76 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
77 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
78 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
79 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
80 |
+
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
81 |
+
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ βββββββ
|
82 |
+
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ βββ
|
83 |
+
ββββββββββββββββββββββββββββββββ ββββββββββββββββββ
|
84 |
+
ββββββββββββββββββββββββββββ
|
85 |
+
βββββββββββββββββ
|
86 |
+
βββββ
|
87 |
+
|
88 |
+
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
89 |
+
|
90 |
+
β β
|
91 |
+
β Β·Β· Released by the Mistral AI team Β·Β· β
|
92 |
+
|
93 |
+
β Albert Jiang, Alexandre Sablayrolles, Alexis Tacnet, Antoine Roux, β
|
94 |
+
β Arthur Mensch, Audrey Herblin-Stoop, Baptiste Bout, Baudouin de Monicault, β
|
95 |
+
β Blanche Savary, Bam4d, Caroline Feldman, Devendra Singh Chaplot, β
|
96 |
+
β Diego de las Casas, Eleonore Arcelin, Emma Bou Hanna, Etienne Metzger, β
|
97 |
+
β Gianna Lengyel, Guillaume Bour, Guillaume Lample, Harizo Rajaona, β
|
98 |
+
β Jean-Malo Delignon, Jia Li, Justus Murke, Louis Martin, Louis Ternon β
|
99 |
+
β Lucile Saulnier, LΓ©lio Renard Lavaud, Margaret Jennings, Marie Pellat, β
|
100 |
+
β Marie Torelli, Marie-Anne Lachaux, Nicolas Schuhl, Patrick von Platen, β
|
101 |
+
β Pierre Stock, Sandeep Subramanian, Sophia Yang, Szymon Antoniak, β
|
102 |
+
β Teven Le Scao, Thibaut Lavril, TimothΓ©e Lacroix, ThΓ©ophile Gervet, β
|
103 |
+
β Thomas Wang, Valera Nemychnikova, William El Sayed, William Marshall β
|
104 |
+
β β
|
105 |
+
|
106 |
+
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|