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MaziyarPanahi
/
nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF

Text Generation
GGUF
mistral
quantized
2-bit
3-bit
4-bit precision
5-bit
6-bit
8-bit precision
GGUF
conversational
Model card Files Files and versions
xet
Community
1

Instructions to use MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF with llama.cpp:

    Install (macOS, Linux)
    curl -LsSf https://llama.app/install.sh | sh
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF:Q5_K_M
    # Run inference directly in the terminal:
    llama cli -hf MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF:Q5_K_M
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF:Q5_K_M
    # Run inference directly in the terminal:
    llama cli -hf MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF:Q5_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 MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF:Q5_K_M
    # Run inference directly in the terminal:
    ./llama-cli -hf MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF:Q5_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 MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF:Q5_K_M
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF:Q5_K_M
    Use Docker
    docker model run hf.co/MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF:Q5_K_M
  • LM Studio
  • Jan
  • vLLM

    How to use MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-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": "MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF",
    		"messages": [
    			{
    				"role": "user",
    				"content": "What is the capital of France?"
    			}
    		]
    	}'
    Use Docker
    docker model run hf.co/MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF:Q5_K_M
  • Ollama

    How to use MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF with Ollama:

    ollama run hf.co/MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF:Q5_K_M
  • Unsloth Desktop
  • Docker Model Runner

    How to use MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF with Docker Model Runner:

    docker model run hf.co/MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF:Q5_K_M
  • Lemonade

    How to use MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull MaziyarPanahi/nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF:Q5_K_M
    Run and chat with the model
    lemonade run user.nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF-Q5_K_M
    List all available models
    lemonade list
  • Atomic Chat
nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF
64.8 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
MaziyarPanahi's picture
MaziyarPanahi
a180634ab83bbbf282d3bcfac14668365c17c8f745634cc691b4c4adb5cdab90
8df5987 verified almost 2 years ago
  • .gitattributes
    2.08 kB
    a180634ab83bbbf282d3bcfac14668365c17c8f745634cc691b4c4adb5cdab90 almost 2 years ago
  • README.md
    3.2 kB
    a180634ab83bbbf282d3bcfac14668365c17c8f745634cc691b4c4adb5cdab90 almost 2 years ago
  • nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2-GGUF_imatrix.dat
    7.05 MB
    xet
    a180634ab83bbbf282d3bcfac14668365c17c8f745634cc691b4c4adb5cdab90 almost 2 years ago
  • nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2.Q5_K_M.gguf
    8.73 GB
    xet
    388308e0d325ada45522a9a37abd845862eef6ed4abfea6ca8b62e873789885d almost 2 years ago
  • nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2.Q5_K_S.gguf
    8.52 GB
    xet
    c016f8e34a39e30898d8c1b6f6470ea19428ab936d26c73d88425c7ea1b594e2 almost 2 years ago
  • nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2.Q6_K.gguf
    10.1 GB
    xet
    13b8827c75020095cfefef67785fa749b390e117e740eedbf88f37a5a240f3e4 almost 2 years ago
  • nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2.Q8_0.gguf
    13 GB
    xet
    baf6b54150e9a537605eb3fd5aa6671e06006179684095c776b16fa3ee6da7d6 almost 2 years ago
  • nepoticide-12B-Unslop-Unleashed-Mell-RPMax-v2.fp16.gguf
    24.5 GB
    xet
    aedc372657078e9df3712b59e55292bf6cfd4b6c85c4ee374b3eb2d9b7631b08 almost 2 years ago