Upload folder using huggingface_hub
Browse files
README.md
ADDED
@@ -0,0 +1,151 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
tags:
|
4 |
+
- moe
|
5 |
+
- frankenmoe
|
6 |
+
- merge
|
7 |
+
- mergekit
|
8 |
+
- lazymergekit
|
9 |
+
- CultriX/MonaTrix-v4
|
10 |
+
- mlabonne/OmniTruthyBeagle-7B-v0
|
11 |
+
- CultriX/MoNeuTrix-7B-v1
|
12 |
+
- paulml/OmniBeagleSquaredMBX-v3-7B
|
13 |
+
base_model:
|
14 |
+
- CultriX/MonaTrix-v4
|
15 |
+
- mlabonne/OmniTruthyBeagle-7B-v0
|
16 |
+
- CultriX/MoNeuTrix-7B-v1
|
17 |
+
- paulml/OmniBeagleSquaredMBX-v3-7B
|
18 |
+
---
|
19 |
+
|
20 |
+
# MoNeuTrix-MoE-4x7B
|
21 |
+
|
22 |
+
MoNeuTrix-MoE-4x7B is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
|
23 |
+
* [CultriX/MonaTrix-v4](https://huggingface.co/CultriX/MonaTrix-v4)
|
24 |
+
* [mlabonne/OmniTruthyBeagle-7B-v0](https://huggingface.co/mlabonne/OmniTruthyBeagle-7B-v0)
|
25 |
+
* [CultriX/MoNeuTrix-7B-v1](https://huggingface.co/CultriX/MoNeuTrix-7B-v1)
|
26 |
+
* [paulml/OmniBeagleSquaredMBX-v3-7B](https://huggingface.co/paulml/OmniBeagleSquaredMBX-v3-7B)
|
27 |
+
|
28 |
+
## 🧩 Configuration
|
29 |
+
|
30 |
+
```yaml
|
31 |
+
base_model: "CultriX/MonaTrix-v4"
|
32 |
+
dtype: bfloat16
|
33 |
+
gate:
|
34 |
+
type: "learned"
|
35 |
+
temperature: 0.1
|
36 |
+
scaling_factor: 10
|
37 |
+
experts:
|
38 |
+
- source_model: "CultriX/MonaTrix-v4" # Historical Analysis, Geopolitics, and Economic Evaluation
|
39 |
+
tasks:
|
40 |
+
- "Historical Analysis"
|
41 |
+
- "Geopolitical Evaluation"
|
42 |
+
- "Economic Insights"
|
43 |
+
- "Policy Analysis"
|
44 |
+
- "Socio-Economic Impacts"
|
45 |
+
- "Geopolitical Analysis"
|
46 |
+
- "Cultural Commentary"
|
47 |
+
- "Analyze geopolitical"
|
48 |
+
- "Analyze historic"
|
49 |
+
- "Analyze historical"
|
50 |
+
- "Assess the political dynamics of the Cold War and its global impact."
|
51 |
+
- "Evaluate the historical significance of the Silk Road in ancient trade."
|
52 |
+
exclude_tasks:
|
53 |
+
- "Technical Writing"
|
54 |
+
- "Mathematical Problem Solving"
|
55 |
+
- "Software Development"
|
56 |
+
- "Artistic Creation"
|
57 |
+
- "Machine Learning Development"
|
58 |
+
- "Storywriting"
|
59 |
+
- "Character Development"
|
60 |
+
- "Roleplaying"
|
61 |
+
- "Narrative Creation"
|
62 |
+
|
63 |
+
- source_model: "mlabonne/OmniTruthyBeagle-7B-v0" # Multilingual Communication and Cultural Insights
|
64 |
+
tasks:
|
65 |
+
- "Multilingual Communication"
|
66 |
+
- "Cultural Insights"
|
67 |
+
- "Translation and Interpretation"
|
68 |
+
- "Cultural Norms Exploration"
|
69 |
+
- "Intercultural Communication Practices"
|
70 |
+
- "Describe cultural significance"
|
71 |
+
- "Narrate cultural"
|
72 |
+
- "Discuss cultural impact"
|
73 |
+
exclude_tasks:
|
74 |
+
- "Scientific Analysis"
|
75 |
+
- "Creative Writing"
|
76 |
+
- "Technical Documentation"
|
77 |
+
- "Economic Modeling"
|
78 |
+
- "Historical Documentation"
|
79 |
+
- "Programming"
|
80 |
+
- "Algorithm Development"
|
81 |
+
|
82 |
+
- source_model: "CultriX/MoNeuTrix-7B-v1" # Creative Problem Solving and Innovation
|
83 |
+
tasks:
|
84 |
+
- "Innovation and Design"
|
85 |
+
- "Problem Solving"
|
86 |
+
- "Creative Thinking"
|
87 |
+
- "Strategic Planning"
|
88 |
+
- "Conceptual Design"
|
89 |
+
- "Innovation and Design"
|
90 |
+
- "Problem Solving"
|
91 |
+
- "Compose narrative content or poetry."
|
92 |
+
- "Create complex puzzles and games."
|
93 |
+
- "Devise strategy"
|
94 |
+
exclude_tasks:
|
95 |
+
- "Historical Analysis"
|
96 |
+
- "Linguistic Translation"
|
97 |
+
- "Economic Forecasting"
|
98 |
+
- "Geopolitical Analysis"
|
99 |
+
- "Cultural Commentary"
|
100 |
+
- "Historical Documentation"
|
101 |
+
- "Scientific Explanation"
|
102 |
+
- "Data Analysis Techniques"
|
103 |
+
|
104 |
+
- source_model: "paulml/OmniBeagleSquaredMBX-v3-7B" # Scientific and Technical Expertise
|
105 |
+
tasks:
|
106 |
+
- "Scientific Explanation"
|
107 |
+
- "Technical Analysis"
|
108 |
+
- "Experimental Design"
|
109 |
+
- "Data Analysis Techniques"
|
110 |
+
- "Scientific Innovation"
|
111 |
+
- "Mathematical Problem Solving"
|
112 |
+
- "Algorithm Development"
|
113 |
+
- "Programming"
|
114 |
+
- "Analyze data"
|
115 |
+
- "Analyze statistical data on climate change trends."
|
116 |
+
- "Conduct basic data analysis or statistical evaluations."
|
117 |
+
exclude_tasks:
|
118 |
+
- "Cultural Analysis"
|
119 |
+
- "Creative Arts"
|
120 |
+
- "Linguistic Challenges"
|
121 |
+
- "Political Debating"
|
122 |
+
- "Marketing Strategies"
|
123 |
+
- "Storywriting"
|
124 |
+
- "Character Development"
|
125 |
+
- "Roleplaying"
|
126 |
+
- "Narrative Creation"
|
127 |
+
```
|
128 |
+
|
129 |
+
## 💻 Usage
|
130 |
+
|
131 |
+
```python
|
132 |
+
!pip install -qU transformers bitsandbytes accelerate
|
133 |
+
|
134 |
+
from transformers import AutoTokenizer
|
135 |
+
import transformers
|
136 |
+
import torch
|
137 |
+
|
138 |
+
model = "CultriX/MoNeuTrix-MoE-4x7B"
|
139 |
+
|
140 |
+
tokenizer = AutoTokenizer.from_pretrained(model)
|
141 |
+
pipeline = transformers.pipeline(
|
142 |
+
"text-generation",
|
143 |
+
model=model,
|
144 |
+
model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
|
145 |
+
)
|
146 |
+
|
147 |
+
messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
|
148 |
+
prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
|
149 |
+
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
|
150 |
+
print(outputs[0]["generated_text"])
|
151 |
+
```
|