yuuko-eth commited on
Commit
0685796
·
verified ·
1 Parent(s): c3d2358

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +76 -0
README.md CHANGED
@@ -1,3 +1,79 @@
1
  ---
 
 
 
 
2
  license: unknown
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ inference: false
3
+ language:
4
+ - zh
5
+ - en
6
  license: unknown
7
+ model_name: Rain-2x7B-MoE-32k-v0.1
8
+ pipeline_tag: text-generation
9
+ prompt_template: '<s> SYS_PROMPT [INST] QUERY1 [/INST] RESPONSE1 [INST] QUERY2 [/INST]'
10
+ quantized_by: yuuko-eth
11
+ tags:
12
+ - nlp
13
+ - chinese
14
+ - mistral
15
+ - mixtral
16
+ - traditional_chinese
17
+ - merge
18
+ - mergekit
19
+ - MediaTek-Research/Breeze-7B-Instruct-v0_1
20
+ - beowolx/CodeNinja-1.0-OpenChat-7B
21
+ - mlabonne/Marcoro14-7B-slerp
22
  ---
23
+
24
+
25
+ # Rain-2x7B-MoE-32k-v0.1
26
+ - Model creator: [yuuko-eth](https://huggingface.co/yuuko-eth)
27
+ - Original model: [Rain-2x7B-MoE-32k-v0.1](https://huggingface.co/yuuko-eth/Rain-2x7B-MoE-32k-v0.1)
28
+
29
+ <!-- description start -->
30
+ ## Description
31
+
32
+ This repo contains GGUF format model files for [Rain-2x7B-MoE-32k-v0.1](https://huggingface.co/yuuko-eth/Rain-2x7B-MoE-32k-v0.1).
33
+
34
+ <!-- description end -->
35
+
36
+ ### About GGUF
37
+ GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.
38
+ Here is an incomplete list of clients and libraries that are known to support GGUF:
39
+ * [llama.cpp](https://github.com/ggerganov/llama.cpp). The source project for GGUF. Offers a CLI and a server option.
40
+ * [text-generation-webui](https://github.com/oobabooga/text-generation-webui), the most widely used web UI, with many features and powerful extensions. Supports GPU acceleration.
41
+ * [KoboldCpp](https://github.com/LostRuins/koboldcpp), a fully featured web UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling.
42
+ * [GPT4All](https://gpt4all.io/index.html), a free and open source local running GUI, supporting Windows, Linux and macOS with full GPU accel.
43
+ * [LM Studio](https://lmstudio.ai/), an easy-to-use and powerful local GUI for Windows and macOS (Silicon), with GPU acceleration. Linux available, in beta as of 27/11/2023.
44
+ * [LoLLMS Web UI](https://github.com/ParisNeo/lollms-webui), a great web UI with many interesting and unique features, including a full model library for easy model selection.
45
+ * [Faraday.dev](https://faraday.dev/), an attractive and easy to use character-based chat GUI for Windows and macOS (both Silicon and Intel), with GPU acceleration.
46
+ * [llama-cpp-python](https://github.com/abetlen/llama-cpp-python), a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.
47
+ * [candle](https://github.com/huggingface/candle), a Rust ML framework with a focus on performance, including GPU support, and ease of use.
48
+ * [ctransformers](https://github.com/marella/ctransformers), a Python library with GPU accel, LangChain support, and OpenAI-compatible AI server. Note, as of time of writing (November 27th 2023), ctransformers has not been updated in a long time and does not support many recent models.
49
+
50
+
51
+ ---
52
+
53
+ > Original `README.MD` is as follows.
54
+
55
+ ---
56
+
57
+ # 小雨同學 2x7B
58
+
59
+ 採用聯發科 Breeze 7B Instruct 為基底的國語 MoE (Mixture-of-Experts) 模型,共有兩個 Expert model。
60
+
61
+ 請用 Marcoro14-7B 或是 Breeze-7B-Instruct 所推薦的 Prompt 格式進行操作;以下為模型配置。
62
+
63
+ ![](https://i.imgur.com/f3Ro6Fu.png)
64
+
65
+ ### Rain-2x7B-MoE-32k-v0.1
66
+
67
+ This is an experimental Mixtral-architecture MoE model with 2 of 7B sized fine-tunes. Breeze and CodeNinja are used on top of [Marcoro14-7B-slerp](https://huggingface.co/mlabonne/Marcoro14-7B-slerp).
68
+
69
+ Model configuration is as follows:
70
+
71
+ * [Marcoro14-7B-slerp](https://huggingface.co/mlabonne/Marcoro14-7B-slerp) as base.
72
+ * [Breeze-7B-Instruct-v0_1](https://huggingface.co/MediaTek-Research/Breeze-7B-Instruct-v0_1) as model 0.
73
+ * [CodeNinja-1.0-OpenChat-7B](https://huggingface.co/beowolx/CodeNinja-1.0-OpenChat-7B) as model 1.
74
+
75
+ To use the model, please use either prompt templates suggested by the base models.
76
+
77
+ ## Notes
78
+
79
+ Please evaluate before use in any application pipeline. Activation for coding part of the model would be `'code'`, `'python'`, `'typescript'`, `'javascript'`, `'programming'`, `'algorithm'`.