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iamrahull
/
xlam-ather

Text Generation
GGUF
English
xlam
function-calling
agent
tool-calling
react
qlora
qwen2
ollama
llama-cpp
function-calling-agent
Model card Files Files and versions
xet
Community

Instructions to use iamrahull/xlam-ather 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 iamrahull/xlam-ather 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 iamrahull/xlam-ather:Q4_K_M
    # Run inference directly in the terminal:
    llama cli -hf iamrahull/xlam-ather:Q4_K_M
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf iamrahull/xlam-ather:Q4_K_M
    # Run inference directly in the terminal:
    llama cli -hf iamrahull/xlam-ather:Q4_K_M
    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 iamrahull/xlam-ather:Q4_K_M
    # Run inference directly in the terminal:
    ./build/bin/llama cli -hf iamrahull/xlam-ather:Q4_K_M
    Use Docker
    docker model run hf.co/iamrahull/xlam-ather:Q4_K_M
  • Llama new
  • LM Studio
  • Jan
  • vLLM

    How to use iamrahull/xlam-ather with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "iamrahull/xlam-ather"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "iamrahull/xlam-ather",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/iamrahull/xlam-ather:Q4_K_M
  • Ollama

    How to use iamrahull/xlam-ather with Ollama:

    ollama run hf.co/iamrahull/xlam-ather:Q4_K_M
  • Unsloth Desktop
  • Docker Model Runner

    How to use iamrahull/xlam-ather with Docker Model Runner:

    docker model run hf.co/iamrahull/xlam-ather:Q4_K_M
  • Lemonade

    How to use iamrahull/xlam-ather with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull iamrahull/xlam-ather:Q4_K_M
    Run and chat with the model
    lemonade run user.xlam-ather-Q4_K_M
    List all available models
    lemonade list
  • Atomic Chat
xlam-ather
1.93 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
iamrahull's picture
iamrahull
updated tags
8bab0e5 verified 3 days ago
  • .gitattributes
    1.58 kB
    Uploaded Fine Tuned model into HF repo 11 days ago
  • README.md
    3.8 kB
    updated tags 3 days ago
  • xlam-aether-q4_k_m.gguf
    1.93 GB
    xet
    Uploaded Fine Tuned model into HF repo 11 days ago