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
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

dipeshmajithia
/
Mirror-80M-MoE-GGUF

Text Generation
GGUF
mixture-of-experts
Mixture of Experts
on-device
efficient-llm
quantizations
Model card Files Files and versions
xet
Community

Instructions to use dipeshmajithia/Mirror-80M-MoE-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 dipeshmajithia/Mirror-80M-MoE-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 dipeshmajithia/Mirror-80M-MoE-GGUF:F32
    # Run inference directly in the terminal:
    llama cli -hf dipeshmajithia/Mirror-80M-MoE-GGUF:F32
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf dipeshmajithia/Mirror-80M-MoE-GGUF:F32
    # Run inference directly in the terminal:
    llama cli -hf dipeshmajithia/Mirror-80M-MoE-GGUF:F32
    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 dipeshmajithia/Mirror-80M-MoE-GGUF:F32
    # Run inference directly in the terminal:
    ./llama-cli -hf dipeshmajithia/Mirror-80M-MoE-GGUF:F32
    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 dipeshmajithia/Mirror-80M-MoE-GGUF:F32
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf dipeshmajithia/Mirror-80M-MoE-GGUF:F32
    Use Docker
    docker model run hf.co/dipeshmajithia/Mirror-80M-MoE-GGUF:F32
  • LM Studio
  • Jan
  • vLLM

    How to use dipeshmajithia/Mirror-80M-MoE-GGUF with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "dipeshmajithia/Mirror-80M-MoE-GGUF"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "dipeshmajithia/Mirror-80M-MoE-GGUF",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/dipeshmajithia/Mirror-80M-MoE-GGUF:F32
  • Ollama

    How to use dipeshmajithia/Mirror-80M-MoE-GGUF with Ollama:

    ollama run hf.co/dipeshmajithia/Mirror-80M-MoE-GGUF:F32
  • Unsloth Desktop
  • Docker Model Runner

    How to use dipeshmajithia/Mirror-80M-MoE-GGUF with Docker Model Runner:

    docker model run hf.co/dipeshmajithia/Mirror-80M-MoE-GGUF:F32
  • Lemonade

    How to use dipeshmajithia/Mirror-80M-MoE-GGUF with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull dipeshmajithia/Mirror-80M-MoE-GGUF:F32
    Run and chat with the model
    lemonade run user.Mirror-80M-MoE-GGUF-F32
    List all available models
    lemonade list
  • Atomic Chat

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

Gated model
You can list files but not access them

Preview of files found in this repository
  • weights
    Upload files 7 months ago
  • .gitattributes
    1.96 kB
    Upload files 7 months ago
  • README.md
    1.98 kB
    Add README 7 months ago
  • mirror_ai_chat_v1.gguf
    324 MB
    xet
    Upload GGUF model 7 months ago
  • mirror_moe_elite_f32.gguf
    324 MB
    xet
    Upload files 7 months ago
  • mirror_moe_elite_q4_k.gguf
    324 MB
    xet
    Upload files 7 months ago
  • mirror_moe_elite_q8_0.gguf
    324 MB
    xet
    Upload files 7 months ago
  • mirror_moe_hybrid_f32.gguf
    324 MB
    xet
    Upload files 7 months ago
  • mirror_moe_hybrid_q4_k.gguf
    324 MB
    xet
    Upload files 7 months ago
  • mirror_moe_hybrid_q8_0.gguf
    324 MB
    xet
    Upload files 7 months ago