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Qmed
/
llama_instruct_ipex-tcm-AMX-bf16

PEFT
Safetensors
GGUF
conversational
Model card Files Files and versions
xet
Community
2

Instructions to use Qmed/llama_instruct_ipex-tcm-AMX-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Qmed/llama_instruct_ipex-tcm-AMX-bf16 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("/home/qmed-intel/models/meta-llama/Meta-Llama-3-8B-Instruct")
    model = PeftModel.from_pretrained(base_model, "Qmed/llama_instruct_ipex-tcm-AMX-bf16")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use Qmed/llama_instruct_ipex-tcm-AMX-bf16 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 Qmed/llama_instruct_ipex-tcm-AMX-bf16:Q4_K_M
    # Run inference directly in the terminal:
    llama cli -hf Qmed/llama_instruct_ipex-tcm-AMX-bf16:Q4_K_M
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf Qmed/llama_instruct_ipex-tcm-AMX-bf16:Q4_K_M
    # Run inference directly in the terminal:
    llama cli -hf Qmed/llama_instruct_ipex-tcm-AMX-bf16: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 Qmed/llama_instruct_ipex-tcm-AMX-bf16:Q4_K_M
    # Run inference directly in the terminal:
    ./llama-cli -hf Qmed/llama_instruct_ipex-tcm-AMX-bf16: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 Qmed/llama_instruct_ipex-tcm-AMX-bf16:Q4_K_M
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf Qmed/llama_instruct_ipex-tcm-AMX-bf16:Q4_K_M
    Use Docker
    docker model run hf.co/Qmed/llama_instruct_ipex-tcm-AMX-bf16:Q4_K_M
  • LM Studio
  • Jan
  • Ollama

    How to use Qmed/llama_instruct_ipex-tcm-AMX-bf16 with Ollama:

    ollama run hf.co/Qmed/llama_instruct_ipex-tcm-AMX-bf16:Q4_K_M
  • Unsloth Desktop
  • Docker Model Runner

    How to use Qmed/llama_instruct_ipex-tcm-AMX-bf16 with Docker Model Runner:

    docker model run hf.co/Qmed/llama_instruct_ipex-tcm-AMX-bf16:Q4_K_M
  • Lemonade

    How to use Qmed/llama_instruct_ipex-tcm-AMX-bf16 with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull Qmed/llama_instruct_ipex-tcm-AMX-bf16:Q4_K_M
    Run and chat with the model
    lemonade run user.llama_instruct_ipex-tcm-AMX-bf16-Q4_K_M
    List all available models
    lemonade list
  • Atomic Chat
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

[WIP] Upload folder using huggingface_hub (multi-commit 13983d1e356c3d89b1f287f31824f50eefd5d664bd0dc3ed65237c95ee4fb1c5)

#1 opened over 2 years ago by
Shamus
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