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
| 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" | |