Text Generation
Transformers
Safetensors
mixtral
Mixture of Experts
frankenmoe
Merge
mergekit
lazymergekit
CultriX/MonaTrix-v4
mlabonne/OmniTruthyBeagle-7B-v0
CultriX/MoNeuTrix-7B-v1
paulml/OmniBeagleSquaredMBX-v3-7B
text-generation-inference
Instructions to use CultriX/MoNeuTrix-MoE-4x7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CultriX/MoNeuTrix-MoE-4x7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="CultriX/MoNeuTrix-MoE-4x7B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("CultriX/MoNeuTrix-MoE-4x7B") model = AutoModelForCausalLM.from_pretrained("CultriX/MoNeuTrix-MoE-4x7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use CultriX/MoNeuTrix-MoE-4x7B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "CultriX/MoNeuTrix-MoE-4x7B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "CultriX/MoNeuTrix-MoE-4x7B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/CultriX/MoNeuTrix-MoE-4x7B
- SGLang
How to use CultriX/MoNeuTrix-MoE-4x7B with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "CultriX/MoNeuTrix-MoE-4x7B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "CultriX/MoNeuTrix-MoE-4x7B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "CultriX/MoNeuTrix-MoE-4x7B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "CultriX/MoNeuTrix-MoE-4x7B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use CultriX/MoNeuTrix-MoE-4x7B with Docker Model Runner:
docker model run hf.co/CultriX/MoNeuTrix-MoE-4x7B
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base_model: "CultriX/MonaTrix-v4"
dtype: bfloat16
gate:
type: "learned"
temperature: 0.1
scaling_factor: 10
experts:
- source_model: "CultriX/MonaTrix-v4" # Historical Analysis, Geopolitics, and Economic Evaluation
positive_prompts:
- "Historical Analysis"
- "Geopolitical Evaluation"
- "Economic Insights"
- "Policy Analysis"
- "Socio-Economic Impacts"
- "Geopolitical Analysis"
- "Cultural Commentary"
- "Analyze geopolitical"
- "Analyze historic"
- "Analyze historical"
- "Assess the political dynamics of the Cold War and its global impact."
- "Evaluate the historical significance of the Silk Road in ancient trade."
negative_prompts:
- "Technical Writing"
- "Mathematical Problem Solving"
- "Software Development"
- "Artistic Creation"
- "Machine Learning Development"
- "Storywriting"
- "Character Development"
- "Roleplaying"
- "Narrative Creation"
- source_model: "mlabonne/OmniTruthyBeagle-7B-v0" # Multilingual Communication and Cultural Insights
positive_prompts:
- "Multilingual Communication"
- "Cultural Insights"
- "Translation and Interpretation"
- "Cultural Norms Exploration"
- "Intercultural Communication Practices"
- "Describe cultural significance"
- "Narrate cultural"
- "Discuss cultural impact"
negative_prompts:
- "Scientific Analysis"
- "Creative Writing"
- "Technical Documentation"
- "Economic Modeling"
- "Historical Documentation"
- "Programming"
- "Algorithm Development"
- source_model: "CultriX/MoNeuTrix-7B-v1" # Creative Problem Solving and Innovation
positive_prompts:
- "Innovation and Design"
- "Problem Solving"
- "Creative Thinking"
- "Strategic Planning"
- "Conceptual Design"
- "Innovation and Design"
- "Problem Solving"
- "Compose narrative content or poetry."
- "Create complex puzzles and games."
- "Devise strategy"
negative_prompts:
- "Historical Analysis"
- "Linguistic Translation"
- "Economic Forecasting"
- "Geopolitical Analysis"
- "Cultural Commentary"
- "Historical Documentation"
- "Scientific Explanation"
- "Data Analysis Techniques"
- source_model: "paulml/OmniBeagleSquaredMBX-v3-7B" # Scientific and Technical Expertise
positive_prompts:
- "Scientific Explanation"
- "Technical Analysis"
- "Experimental Design"
- "Data Analysis Techniques"
- "Scientific Innovation"
- "Mathematical Problem Solving"
- "Algorithm Development"
- "Programming"
- "Analyze data"
- "Analyze statistical data on climate change trends."
- "Conduct basic data analysis or statistical evaluations."
negative_prompts:
- "Cultural Analysis"
- "Creative Arts"
- "Linguistic Challenges"
- "Political Debating"
- "Marketing Strategies"
- "Storywriting"
- "Character Development"
- "Roleplaying"
- "Narrative Creation"
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