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Browse files- README.md +151 -0
- config.json +30 -0
- mergekit_moe_config.yml +97 -0
- model-00001-of-00005.safetensors +3 -0
- model-00002-of-00005.safetensors +3 -0
- model-00003-of-00005.safetensors +3 -0
- model-00004-of-00005.safetensors +3 -0
- model-00005-of-00005.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +42 -0
README.md
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1 |
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---
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2 |
+
license: apache-2.0
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tags:
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4 |
+
- moe
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5 |
+
- frankenmoe
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6 |
+
- merge
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7 |
+
- mergekit
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8 |
+
- lazymergekit
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9 |
+
- CultriX/MonaTrix-v4
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10 |
+
- mlabonne/OmniTruthyBeagle-7B-v0
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11 |
+
- CultriX/MoNeuTrix-7B-v1
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12 |
+
- paulml/OmniBeagleSquaredMBX-v3-7B
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13 |
+
base_model:
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14 |
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- CultriX/MonaTrix-v4
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15 |
+
- mlabonne/OmniTruthyBeagle-7B-v0
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16 |
+
- CultriX/MoNeuTrix-7B-v1
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- paulml/OmniBeagleSquaredMBX-v3-7B
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+
---
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+
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# NeuralMona_MoE-4x7B
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NeuralMona_MoE-4x7B is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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23 |
+
* [CultriX/MonaTrix-v4](https://huggingface.co/CultriX/MonaTrix-v4)
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24 |
+
* [mlabonne/OmniTruthyBeagle-7B-v0](https://huggingface.co/mlabonne/OmniTruthyBeagle-7B-v0)
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25 |
+
* [CultriX/MoNeuTrix-7B-v1](https://huggingface.co/CultriX/MoNeuTrix-7B-v1)
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+
* [paulml/OmniBeagleSquaredMBX-v3-7B](https://huggingface.co/paulml/OmniBeagleSquaredMBX-v3-7B)
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## 🧩 Configuration
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```yaml
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base_model: CultriX/MonaTrix-v4
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dtype: bfloat16
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+
experts:
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- source_model: "CultriX/MonaTrix-v4" # Historical Analysis, Geopolitics, and Economic Evaluation
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35 |
+
positive_prompts:
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36 |
+
- "Historic analysis"
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37 |
+
- "Geopolitical impacts"
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38 |
+
- "Evaluate significance"
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39 |
+
- "Predict impact"
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40 |
+
- "Assess consequences"
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41 |
+
- "Discuss implications"
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42 |
+
- "Explain geopolitical"
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43 |
+
- "Analyze historical"
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44 |
+
- "Examine economic"
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45 |
+
- "Evaluate role"
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46 |
+
- "Analyze importance"
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+
- "Discuss cultural impact"
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48 |
+
- "Discuss historical"
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+
negative_prompts:
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50 |
+
- "Compose"
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51 |
+
- "Translate"
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52 |
+
- "Debate"
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53 |
+
- "Solve math"
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54 |
+
- "Analyze data"
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55 |
+
- "Forecast"
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56 |
+
- "Predict"
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57 |
+
- "Process"
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58 |
+
- "Coding"
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59 |
+
- "Programming"
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60 |
+
- "Code"
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61 |
+
- "Datascience"
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62 |
+
- "Cryptography"
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63 |
+
|
64 |
+
- source_model: "mlabonne/OmniTruthyBeagle-7B-v0" # Multilingual Communication and Cultural Insights
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65 |
+
positive_prompts:
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66 |
+
- "Describe cultural"
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67 |
+
- "Explain in language"
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68 |
+
- "Translate"
|
69 |
+
- "Compare cultural differences"
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70 |
+
- "Discuss cultural impact"
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71 |
+
- "Narrate in language"
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72 |
+
- "Explain impact on culture"
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73 |
+
- "Discuss national identity"
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74 |
+
- "Describe cultural significance"
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75 |
+
- "Narrate cultural"
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76 |
+
- "Discuss folklore"
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77 |
+
negative_prompts:
|
78 |
+
- "Compose"
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79 |
+
- "Debate"
|
80 |
+
- "Solve math"
|
81 |
+
- "Analyze data"
|
82 |
+
- "Forecast"
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83 |
+
- "Predict"
|
84 |
+
- "Coding"
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85 |
+
- "Programming"
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86 |
+
- "Code"
|
87 |
+
- "Datascience"
|
88 |
+
- "Cryptography"
|
89 |
+
|
90 |
+
- source_model: "CultriX/MoNeuTrix-7B-v1" # Problem Solving, Innovation, and Creative Thinking
|
91 |
+
positive_prompts:
|
92 |
+
- "Devise strategy"
|
93 |
+
- "Imagine society"
|
94 |
+
- "Invent device"
|
95 |
+
- "Design concept"
|
96 |
+
- "Propose theory"
|
97 |
+
- "Reason math"
|
98 |
+
- "Develop strategy"
|
99 |
+
- "Invent"
|
100 |
+
negative_prompts:
|
101 |
+
- "Translate"
|
102 |
+
- "Discuss"
|
103 |
+
- "Debate"
|
104 |
+
- "Summarize"
|
105 |
+
- "Explain"
|
106 |
+
- "Detail"
|
107 |
+
- "Compose"
|
108 |
+
|
109 |
+
- source_model: "paulml/OmniBeagleSquaredMBX-v3-7B" # Explaining Scientific Phenomena and Principles
|
110 |
+
positive_prompts:
|
111 |
+
- "Explain scientific"
|
112 |
+
- "Discuss impact"
|
113 |
+
- "Analyze potential"
|
114 |
+
- "Elucidate significance"
|
115 |
+
- "Summarize findings"
|
116 |
+
- "Detail explanation"
|
117 |
+
negative_prompts:
|
118 |
+
- "Cultural significance"
|
119 |
+
- "Engage in creative writing"
|
120 |
+
- "Perform subjective judgment tasks"
|
121 |
+
- "Discuss cultural traditions"
|
122 |
+
- "Write review"
|
123 |
+
- "Design"
|
124 |
+
- "Create"
|
125 |
+
- "Narrate"
|
126 |
+
- "Discuss"
|
127 |
+
```
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+
|
129 |
+
## 💻 Usage
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+
|
131 |
+
```python
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132 |
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!pip install -qU transformers bitsandbytes accelerate
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|
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+
from transformers import AutoTokenizer
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import transformers
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import torch
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+
|
138 |
+
model = "CultriX/NeuralMona_MoE-4x7B"
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139 |
+
|
140 |
+
tokenizer = AutoTokenizer.from_pretrained(model)
|
141 |
+
pipeline = transformers.pipeline(
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"text-generation",
|
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+
model=model,
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144 |
+
model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
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+
)
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+
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147 |
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messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
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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)
|
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print(outputs[0]["generated_text"])
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```
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config.json
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{
|
2 |
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"_name_or_path": "CultriX/MonaTrix-v4",
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3 |
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"architectures": [
|
4 |
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"MixtralForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_dropout": 0.0,
|
7 |
+
"bos_token_id": 1,
|
8 |
+
"eos_token_id": 2,
|
9 |
+
"hidden_act": "silu",
|
10 |
+
"hidden_size": 4096,
|
11 |
+
"initializer_range": 0.02,
|
12 |
+
"intermediate_size": 14336,
|
13 |
+
"max_position_embeddings": 32768,
|
14 |
+
"model_type": "mixtral",
|
15 |
+
"num_attention_heads": 32,
|
16 |
+
"num_experts_per_tok": 2,
|
17 |
+
"num_hidden_layers": 32,
|
18 |
+
"num_key_value_heads": 8,
|
19 |
+
"num_local_experts": 4,
|
20 |
+
"output_router_logits": false,
|
21 |
+
"rms_norm_eps": 1e-05,
|
22 |
+
"rope_theta": 10000.0,
|
23 |
+
"router_aux_loss_coef": 0.001,
|
24 |
+
"sliding_window": null,
|
25 |
+
"tie_word_embeddings": false,
|
26 |
+
"torch_dtype": "bfloat16",
|
27 |
+
"transformers_version": "4.39.1",
|
28 |
+
"use_cache": true,
|
29 |
+
"vocab_size": 32000
|
30 |
+
}
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mergekit_moe_config.yml
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|
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base_model: CultriX/MonaTrix-v4
|
3 |
+
dtype: bfloat16
|
4 |
+
experts:
|
5 |
+
- source_model: "CultriX/MonaTrix-v4" # Historical Analysis, Geopolitics, and Economic Evaluation
|
6 |
+
positive_prompts:
|
7 |
+
- "Historic analysis"
|
8 |
+
- "Geopolitical impacts"
|
9 |
+
- "Evaluate significance"
|
10 |
+
- "Predict impact"
|
11 |
+
- "Assess consequences"
|
12 |
+
- "Discuss implications"
|
13 |
+
- "Explain geopolitical"
|
14 |
+
- "Analyze historical"
|
15 |
+
- "Examine economic"
|
16 |
+
- "Evaluate role"
|
17 |
+
- "Analyze importance"
|
18 |
+
- "Discuss cultural impact"
|
19 |
+
- "Discuss historical"
|
20 |
+
negative_prompts:
|
21 |
+
- "Compose"
|
22 |
+
- "Translate"
|
23 |
+
- "Debate"
|
24 |
+
- "Solve math"
|
25 |
+
- "Analyze data"
|
26 |
+
- "Forecast"
|
27 |
+
- "Predict"
|
28 |
+
- "Process"
|
29 |
+
- "Coding"
|
30 |
+
- "Programming"
|
31 |
+
- "Code"
|
32 |
+
- "Datascience"
|
33 |
+
- "Cryptography"
|
34 |
+
|
35 |
+
- source_model: "mlabonne/OmniTruthyBeagle-7B-v0" # Multilingual Communication and Cultural Insights
|
36 |
+
positive_prompts:
|
37 |
+
- "Describe cultural"
|
38 |
+
- "Explain in language"
|
39 |
+
- "Translate"
|
40 |
+
- "Compare cultural differences"
|
41 |
+
- "Discuss cultural impact"
|
42 |
+
- "Narrate in language"
|
43 |
+
- "Explain impact on culture"
|
44 |
+
- "Discuss national identity"
|
45 |
+
- "Describe cultural significance"
|
46 |
+
- "Narrate cultural"
|
47 |
+
- "Discuss folklore"
|
48 |
+
negative_prompts:
|
49 |
+
- "Compose"
|
50 |
+
- "Debate"
|
51 |
+
- "Solve math"
|
52 |
+
- "Analyze data"
|
53 |
+
- "Forecast"
|
54 |
+
- "Predict"
|
55 |
+
- "Coding"
|
56 |
+
- "Programming"
|
57 |
+
- "Code"
|
58 |
+
- "Datascience"
|
59 |
+
- "Cryptography"
|
60 |
+
|
61 |
+
- source_model: "CultriX/MoNeuTrix-7B-v1" # Problem Solving, Innovation, and Creative Thinking
|
62 |
+
positive_prompts:
|
63 |
+
- "Devise strategy"
|
64 |
+
- "Imagine society"
|
65 |
+
- "Invent device"
|
66 |
+
- "Design concept"
|
67 |
+
- "Propose theory"
|
68 |
+
- "Reason math"
|
69 |
+
- "Develop strategy"
|
70 |
+
- "Invent"
|
71 |
+
negative_prompts:
|
72 |
+
- "Translate"
|
73 |
+
- "Discuss"
|
74 |
+
- "Debate"
|
75 |
+
- "Summarize"
|
76 |
+
- "Explain"
|
77 |
+
- "Detail"
|
78 |
+
- "Compose"
|
79 |
+
|
80 |
+
- source_model: "paulml/OmniBeagleSquaredMBX-v3-7B" # Explaining Scientific Phenomena and Principles
|
81 |
+
positive_prompts:
|
82 |
+
- "Explain scientific"
|
83 |
+
- "Discuss impact"
|
84 |
+
- "Analyze potential"
|
85 |
+
- "Elucidate significance"
|
86 |
+
- "Summarize findings"
|
87 |
+
- "Detail explanation"
|
88 |
+
negative_prompts:
|
89 |
+
- "Cultural significance"
|
90 |
+
- "Engage in creative writing"
|
91 |
+
- "Perform subjective judgment tasks"
|
92 |
+
- "Discuss cultural traditions"
|
93 |
+
- "Write review"
|
94 |
+
- "Design"
|
95 |
+
- "Create"
|
96 |
+
- "Narrate"
|
97 |
+
- "Discuss"
|
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model-00002-of-00005.safetensors
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version https://git-lfs.github.com/spec/v1
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model-00003-of-00005.safetensors
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version https://git-lfs.github.com/spec/v1
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special_tokens_map.json
ADDED
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{
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2 |
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"bos_token": {
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"content": "<s>",
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4 |
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6 |
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"rstrip": false,
|
7 |
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"single_word": false
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8 |
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},
|
9 |
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"eos_token": {
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10 |
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"content": "</s>",
|
11 |
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"lstrip": false,
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12 |
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"normalized": false,
|
13 |
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"rstrip": false,
|
14 |
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"single_word": false
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15 |
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},
|
16 |
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"pad_token": "<s>",
|
17 |
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"unk_token": {
|
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"content": "<unk>",
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"lstrip": false,
|
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"normalized": false,
|
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"rstrip": false,
|
22 |
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"single_word": false
|
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+
}
|
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+
}
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tokenizer.json
ADDED
The diff for this file is too large to render.
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tokenizer.model
ADDED
@@ -0,0 +1,3 @@
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1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
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3 |
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size 493443
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tokenizer_config.json
ADDED
@@ -0,0 +1,42 @@
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{
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"add_bos_token": true,
|
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"add_eos_token": false,
|
4 |
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"added_tokens_decoder": {
|
5 |
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"0": {
|
6 |
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"content": "<unk>",
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7 |
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8 |
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"normalized": false,
|
9 |
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"rstrip": false,
|
10 |
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"single_word": false,
|
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"special": true
|
12 |
+
},
|
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"1": {
|
14 |
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"content": "<s>",
|
15 |
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"lstrip": false,
|
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"normalized": false,
|
17 |
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"rstrip": false,
|
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"single_word": false,
|
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"special": true
|
20 |
+
},
|
21 |
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"2": {
|
22 |
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"content": "</s>",
|
23 |
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"lstrip": false,
|
24 |
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"normalized": false,
|
25 |
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"rstrip": false,
|
26 |
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"single_word": false,
|
27 |
+
"special": true
|
28 |
+
}
|
29 |
+
},
|
30 |
+
"additional_special_tokens": [],
|
31 |
+
"bos_token": "<s>",
|
32 |
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"clean_up_tokenization_spaces": false,
|
33 |
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"eos_token": "</s>",
|
34 |
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"legacy": true,
|
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"model_max_length": 1000000000000000019884624838656,
|
36 |
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"pad_token": "<s>",
|
37 |
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"sp_model_kwargs": {},
|
38 |
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"spaces_between_special_tokens": false,
|
39 |
+
"tokenizer_class": "LlamaTokenizer",
|
40 |
+
"unk_token": "<unk>",
|
41 |
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"use_default_system_prompt": false
|
42 |
+
}
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