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Harsha001
/
Ripple-65B-Preview-ROCmFPX

Text Generation
GGUF
ripple
rocmfpx
amd
strix-halo
imatrix
conversational
Model card Files Files and versions
xet
Community

Instructions to use Harsha001/Ripple-65B-Preview-ROCmFPX 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 Harsha001/Ripple-65B-Preview-ROCmFPX 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 Harsha001/Ripple-65B-Preview-ROCmFPX:Q4_0_ROCMFP
    # Run inference directly in the terminal:
    llama cli -hf Harsha001/Ripple-65B-Preview-ROCmFPX:Q4_0_ROCMFP
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf Harsha001/Ripple-65B-Preview-ROCmFPX:Q4_0_ROCMFP
    # Run inference directly in the terminal:
    llama cli -hf Harsha001/Ripple-65B-Preview-ROCmFPX:Q4_0_ROCMFP
    Build from source code
    git clone https://github.com/ggml-org/llama.cpp.git
    cd llama.cpp
    cmake -B build
    cmake --build build -j --target llama-app
    # Start a local OpenAI-compatible server with a web UI:
    ./build/bin/llama serve -hf Harsha001/Ripple-65B-Preview-ROCmFPX:Q4_0_ROCMFP
    # Run inference directly in the terminal:
    ./build/bin/llama cli -hf Harsha001/Ripple-65B-Preview-ROCmFPX:Q4_0_ROCMFP
    Use Docker
    docker model run hf.co/Harsha001/Ripple-65B-Preview-ROCmFPX:Q4_0_ROCMFP
  • Llama new
  • LM Studio
  • Jan
  • vLLM

    How to use Harsha001/Ripple-65B-Preview-ROCmFPX with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "Harsha001/Ripple-65B-Preview-ROCmFPX"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "Harsha001/Ripple-65B-Preview-ROCmFPX",
    		"messages": [
    			{
    				"role": "user",
    				"content": "What is the capital of France?"
    			}
    		]
    	}'
    Use Docker
    docker model run hf.co/Harsha001/Ripple-65B-Preview-ROCmFPX:Q4_0_ROCMFP
  • Ollama

    How to use Harsha001/Ripple-65B-Preview-ROCmFPX with Ollama:

    ollama run hf.co/Harsha001/Ripple-65B-Preview-ROCmFPX:Q4_0_ROCMFP
  • Unsloth Desktop
  • Docker Model Runner

    How to use Harsha001/Ripple-65B-Preview-ROCmFPX with Docker Model Runner:

    docker model run hf.co/Harsha001/Ripple-65B-Preview-ROCmFPX:Q4_0_ROCMFP
  • Lemonade

    How to use Harsha001/Ripple-65B-Preview-ROCmFPX with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull Harsha001/Ripple-65B-Preview-ROCmFPX:Q4_0_ROCMFP
    Run and chat with the model
    lemonade run user.Ripple-65B-Preview-ROCmFPX-Q4_0_ROCMFP
    List all available models
    lemonade list
  • Atomic Chat
Ripple-65B-Preview-ROCmFPX
162 GB
Ctrl+K
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  • 1 contributor
History: 7 commits
Harsha001's picture
Harsha001
Full score table, 4-bit build
3f2dfe2 verified about 11 hours ago
  • .gitattributes
    1.75 kB
    Add Ripple-65B-Preview-Q4_0_ROCMFP4_STRIX_A8.gguf about 11 hours ago
  • LICENSE
    11.4 kB
    Model card, licence, comparison image, sd.cpp patch about 14 hours ago
  • README.md
    2.4 kB
    Full score table, 4-bit build about 11 hours ago
  • Ripple-65B-Preview-Q4_0_ROCMFP4_STRIX_A8.gguf
    41.5 GB
    xet
    Add Ripple-65B-Preview-Q4_0_ROCMFP4_STRIX_A8.gguf about 11 hours ago
  • Ripple-65B-Preview-Q6_K_ROCMFPX.gguf
    53.6 GB
    xet
    Add Ripple-65B-Preview-Q6_K_ROCMFPX.gguf about 13 hours ago
  • Ripple-65B-Preview-Q8_0_ROCMFPX.gguf
    66.8 GB
    xet
    Add Ripple-65B-Preview-Q8_0_ROCMFPX.gguf about 13 hours ago