NeuralMona_MoE-4x7B
NeuralMona_MoE-4x7B is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
- CultriX/MonaTrix-v4
- mlabonne/OmniTruthyBeagle-7B-v0
- CultriX/MoNeuTrix-7B-v1
- paulml/OmniBeagleSquaredMBX-v3-7B
𧩠Configuration
base_model: CultriX/MonaTrix-v4
dtype: bfloat16
experts:
- source_model: "CultriX/MonaTrix-v4" # Historical Analysis, Geopolitics, and Economic Evaluation
positive_prompts:
- "Historic analysis"
- "Geopolitical impacts"
- "Evaluate significance"
- "Predict impact"
- "Assess consequences"
- "Discuss implications"
- "Explain geopolitical"
- "Analyze historical"
- "Examine economic"
- "Evaluate role"
- "Analyze importance"
- "Discuss cultural impact"
- "Discuss historical"
negative_prompts:
- "Compose"
- "Translate"
- "Debate"
- "Solve math"
- "Analyze data"
- "Forecast"
- "Predict"
- "Process"
- "Coding"
- "Programming"
- "Code"
- "Datascience"
- "Cryptography"
- source_model: "mlabonne/OmniTruthyBeagle-7B-v0" # Multilingual Communication and Cultural Insights
positive_prompts:
- "Describe cultural"
- "Explain in language"
- "Translate"
- "Compare cultural differences"
- "Discuss cultural impact"
- "Narrate in language"
- "Explain impact on culture"
- "Discuss national identity"
- "Describe cultural significance"
- "Narrate cultural"
- "Discuss folklore"
negative_prompts:
- "Compose"
- "Debate"
- "Solve math"
- "Analyze data"
- "Forecast"
- "Predict"
- "Coding"
- "Programming"
- "Code"
- "Datascience"
- "Cryptography"
- source_model: "CultriX/MoNeuTrix-7B-v1" # Problem Solving, Innovation, and Creative Thinking
positive_prompts:
- "Devise strategy"
- "Imagine society"
- "Invent device"
- "Design concept"
- "Propose theory"
- "Reason math"
- "Develop strategy"
- "Invent"
negative_prompts:
- "Translate"
- "Discuss"
- "Debate"
- "Summarize"
- "Explain"
- "Detail"
- "Compose"
- source_model: "paulml/OmniBeagleSquaredMBX-v3-7B" # Explaining Scientific Phenomena and Principles
positive_prompts:
- "Explain scientific"
- "Discuss impact"
- "Analyze potential"
- "Elucidate significance"
- "Summarize findings"
- "Detail explanation"
negative_prompts:
- "Cultural significance"
- "Engage in creative writing"
- "Perform subjective judgment tasks"
- "Discuss cultural traditions"
- "Write review"
- "Design"
- "Create"
- "Narrate"
- "Discuss"
π» Usage
!pip install -qU transformers bitsandbytes accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "CultriX/NeuralMona_MoE-4x7B"
tokenizer = AutoTokenizer.from_pretrained(model)
pipeline = transformers.pipeline(
"text-generation",
model=model,
model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
)
messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
- Downloads last month
- 4,333
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for CultriX/NeuralMona_MoE-4x7B
Merge model
this model