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DavidAU
/
Mistral-MOE-4X7B-Dark-MultiVerse-24B-GGUF

Text Generation
GGUF
English
mixture of experts
Mixture of Experts
4x7B
mistral MOE
uncensored
creative
creative writing
fiction writing
plot generation
sub-plot generation
story generation
scene continue
storytelling
fiction story
science fiction
romance
all genres
story
writing
vivid prosing
vivid writing
fiction
roleplaying
bfloat16
swearing
rp
horror
mergekit
conversational
Model card Files Files and versions
xet
Community

Instructions to use DavidAU/Mistral-MOE-4X7B-Dark-MultiVerse-24B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • llama-cpp-python

    How to use DavidAU/Mistral-MOE-4X7B-Dark-MultiVerse-24B-GGUF with llama-cpp-python:

    # !pip install llama-cpp-python
    
    from llama_cpp import Llama
    
    llm = Llama.from_pretrained(
    	repo_id="DavidAU/Mistral-MOE-4X7B-Dark-MultiVerse-24B-GGUF",
    	filename="Mistral-MOE-4X7B-Dark-MultiVerse-24B-D_AU-IQ4_XS.gguf",
    )
    
    llm.create_chat_completion(
    	messages = [
    		{
    			"role": "user",
    			"content": "What is the capital of France?"
    		}
    	]
    )
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • llama.cpp

    How to use DavidAU/Mistral-MOE-4X7B-Dark-MultiVerse-24B-GGUF with llama.cpp:

    Install from brew
    brew install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama-server -hf DavidAU/Mistral-MOE-4X7B-Dark-MultiVerse-24B-GGUF:Q4_K_M
    # Run inference directly in the terminal:
    llama-cli -hf DavidAU/Mistral-MOE-4X7B-Dark-MultiVerse-24B-GGUF:Q4_K_M
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama-server -hf DavidAU/Mistral-MOE-4X7B-Dark-MultiVerse-24B-GGUF:Q4_K_M
    # Run inference directly in the terminal:
    llama-cli -hf DavidAU/Mistral-MOE-4X7B-Dark-MultiVerse-24B-GGUF:Q4_K_M
    Use pre-built binary
    # Download pre-built binary from:
    # https://github.com/ggerganov/llama.cpp/releases
    # Start a local OpenAI-compatible server with a web UI:
    ./llama-server -hf DavidAU/Mistral-MOE-4X7B-Dark-MultiVerse-24B-GGUF:Q4_K_M
    # Run inference directly in the terminal:
    ./llama-cli -hf DavidAU/Mistral-MOE-4X7B-Dark-MultiVerse-24B-GGUF:Q4_K_M
    Build from source code
    git clone https://github.com/ggerganov/llama.cpp.git
    cd llama.cpp
    cmake -B build
    cmake --build build -j --target llama-server llama-cli
    # Start a local OpenAI-compatible server with a web UI:
    ./build/bin/llama-server -hf DavidAU/Mistral-MOE-4X7B-Dark-MultiVerse-24B-GGUF:Q4_K_M
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf DavidAU/Mistral-MOE-4X7B-Dark-MultiVerse-24B-GGUF:Q4_K_M
    Use Docker
    docker model run hf.co/DavidAU/Mistral-MOE-4X7B-Dark-MultiVerse-24B-GGUF:Q4_K_M
  • LM Studio
  • Jan
  • vLLM

    How to use DavidAU/Mistral-MOE-4X7B-Dark-MultiVerse-24B-GGUF with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "DavidAU/Mistral-MOE-4X7B-Dark-MultiVerse-24B-GGUF"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "DavidAU/Mistral-MOE-4X7B-Dark-MultiVerse-24B-GGUF",
    		"messages": [
    			{
    				"role": "user",
    				"content": "What is the capital of France?"
    			}
    		]
    	}'
    Use Docker
    docker model run hf.co/DavidAU/Mistral-MOE-4X7B-Dark-MultiVerse-24B-GGUF:Q4_K_M
  • Ollama

    How to use DavidAU/Mistral-MOE-4X7B-Dark-MultiVerse-24B-GGUF with Ollama:

    ollama run hf.co/DavidAU/Mistral-MOE-4X7B-Dark-MultiVerse-24B-GGUF:Q4_K_M
  • Unsloth Studio new

    How to use DavidAU/Mistral-MOE-4X7B-Dark-MultiVerse-24B-GGUF with Unsloth Studio:

    Install Unsloth Studio (macOS, Linux, WSL)
    curl -fsSL https://unsloth.ai/install.sh | sh
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for DavidAU/Mistral-MOE-4X7B-Dark-MultiVerse-24B-GGUF to start chatting
    Install Unsloth Studio (Windows)
    irm https://unsloth.ai/install.ps1 | iex
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for DavidAU/Mistral-MOE-4X7B-Dark-MultiVerse-24B-GGUF to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for DavidAU/Mistral-MOE-4X7B-Dark-MultiVerse-24B-GGUF to start chatting
  • Docker Model Runner

    How to use DavidAU/Mistral-MOE-4X7B-Dark-MultiVerse-24B-GGUF with Docker Model Runner:

    docker model run hf.co/DavidAU/Mistral-MOE-4X7B-Dark-MultiVerse-24B-GGUF:Q4_K_M
  • Lemonade

    How to use DavidAU/Mistral-MOE-4X7B-Dark-MultiVerse-24B-GGUF with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull DavidAU/Mistral-MOE-4X7B-Dark-MultiVerse-24B-GGUF:Q4_K_M
    Run and chat with the model
    lemonade run user.Mistral-MOE-4X7B-Dark-MultiVerse-24B-GGUF-Q4_K_M
    List all available models
    lemonade list
Mistral-MOE-4X7B-Dark-MultiVerse-24B-GGUF
43.4 GB
Ctrl+K
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  • 1 contributor
History: 16 commits
DavidAU's picture
DavidAU
Upload Mistral-MOE-4X7B-Dark-MultiVerse-24B-D_AU-Q3_k_l.gguf with huggingface_hub
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  • .gitattributes
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  • Mistral-MOE-4X7B-Dark-MultiVerse-24B-D_AU-Q2_k.gguf
    8.84 GB
    xet
    Upload Mistral-MOE-4X7B-Dark-MultiVerse-24B-D_AU-Q2_k.gguf with huggingface_hub over 1 year ago
  • Mistral-MOE-4X7B-Dark-MultiVerse-24B-D_AU-Q3_k_l.gguf
    12.5 GB
    xet
    Upload Mistral-MOE-4X7B-Dark-MultiVerse-24B-D_AU-Q3_k_l.gguf with huggingface_hub over 1 year ago
  • Mistral-MOE-4X7B-Dark-MultiVerse-24B-D_AU-Q3_k_m.gguf
    11.6 GB
    xet
    Upload Mistral-MOE-4X7B-Dark-MultiVerse-24B-D_AU-Q3_k_m.gguf with huggingface_hub over 1 year ago
  • Mistral-MOE-4X7B-Dark-MultiVerse-24B-D_AU-Q3_k_s.gguf
    10.4 GB
    xet
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  • README.md
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  • dark-m.jpg
    286 kB
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