Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

KandarpParmar16
/
Gemma9bGenerateWorkflow

PEFT
Safetensors
GGUF
Model card Files Files and versions
xet
Community

Instructions to use KandarpParmar16/Gemma9bGenerateWorkflow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use KandarpParmar16/Gemma9bGenerateWorkflow with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-9b-bnb-4bit")
    model = PeftModel.from_pretrained(base_model, "KandarpParmar16/Gemma9bGenerateWorkflow")
  • llama-cpp-python

    How to use KandarpParmar16/Gemma9bGenerateWorkflow with llama-cpp-python:

    # !pip install llama-cpp-python
    
    from llama_cpp import Llama
    
    llm = Llama.from_pretrained(
    	repo_id="KandarpParmar16/Gemma9bGenerateWorkflow",
    	filename="Gemma9bGenerateWorkflowGGUF.gguf",
    )
    
    output = llm(
    	"Once upon a time,",
    	max_tokens=512,
    	echo=True
    )
    print(output)
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use KandarpParmar16/Gemma9bGenerateWorkflow 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 KandarpParmar16/Gemma9bGenerateWorkflow
    # Run inference directly in the terminal:
    llama cli -hf KandarpParmar16/Gemma9bGenerateWorkflow
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf KandarpParmar16/Gemma9bGenerateWorkflow
    # Run inference directly in the terminal:
    llama cli -hf KandarpParmar16/Gemma9bGenerateWorkflow
    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 KandarpParmar16/Gemma9bGenerateWorkflow
    # Run inference directly in the terminal:
    ./llama-cli -hf KandarpParmar16/Gemma9bGenerateWorkflow
    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 KandarpParmar16/Gemma9bGenerateWorkflow
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf KandarpParmar16/Gemma9bGenerateWorkflow
    Use Docker
    docker model run hf.co/KandarpParmar16/Gemma9bGenerateWorkflow
  • LM Studio
  • Jan
  • Ollama

    How to use KandarpParmar16/Gemma9bGenerateWorkflow with Ollama:

    ollama run hf.co/KandarpParmar16/Gemma9bGenerateWorkflow
  • Unsloth Studio

    How to use KandarpParmar16/Gemma9bGenerateWorkflow 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 KandarpParmar16/Gemma9bGenerateWorkflow 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 KandarpParmar16/Gemma9bGenerateWorkflow to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for KandarpParmar16/Gemma9bGenerateWorkflow to start chatting
  • Atomic Chat new
  • Docker Model Runner

    How to use KandarpParmar16/Gemma9bGenerateWorkflow with Docker Model Runner:

    docker model run hf.co/KandarpParmar16/Gemma9bGenerateWorkflow
  • Lemonade

    How to use KandarpParmar16/Gemma9bGenerateWorkflow with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull KandarpParmar16/Gemma9bGenerateWorkflow
    Run and chat with the model
    lemonade run user.Gemma9bGenerateWorkflow-{{QUANT_TAG}}
    List all available models
    lemonade list
Gemma9bGenerateWorkflow
10.1 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
KandarpParmar16's picture
KandarpParmar16
Upload Gemma9bGenerateWorkflowGGUF.gguf
2b6ec50 verified over 1 year ago
  • .gitattributes
    1.64 kB
    Upload Gemma9bGenerateWorkflowGGUF.gguf over 1 year ago
  • Gemma9bGenerateWorkflowGGUF.gguf
    9.83 GB
    xet
    Upload Gemma9bGenerateWorkflowGGUF.gguf over 1 year ago
  • README.md
    5.1 kB
    Upload 7 files over 1 year ago
  • adapter_config.json
    727 Bytes
    Upload 7 files over 1 year ago
  • adapter_model.safetensors
    216 MB
    xet
    Upload 7 files over 1 year ago
  • special_tokens_map.json
    636 Bytes
    Upload 7 files over 1 year ago
  • tokenizer.json
    17.5 MB
    xet
    Upload 7 files over 1 year ago
  • tokenizer.model
    4.24 MB
    xet
    Upload 7 files over 1 year ago
  • tokenizer_config.json
    46.4 kB
    Upload 7 files over 1 year ago