Safetensors
GGUF
Turkish
llama
Llama-3
instruct
finetune
chatml
gpt4
synthetic data
distillation
function calling
json mode
axolotl
roleplaying
chat
Instructions to use tda45/TdAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use tda45/TdAI with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="tda45/TdAI", filename="llama.cpp/models/ggml-vocab-aquila.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 tda45/TdAI 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 tda45/TdAI # Run inference directly in the terminal: llama cli -hf tda45/TdAI
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf tda45/TdAI # Run inference directly in the terminal: llama cli -hf tda45/TdAI
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 tda45/TdAI # Run inference directly in the terminal: ./llama-cli -hf tda45/TdAI
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 tda45/TdAI # Run inference directly in the terminal: ./build/bin/llama-cli -hf tda45/TdAI
Use Docker
docker model run hf.co/tda45/TdAI
- LM Studio
- Jan
- Ollama
How to use tda45/TdAI with Ollama:
ollama run hf.co/tda45/TdAI
- Unsloth Studio
How to use tda45/TdAI 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 tda45/TdAI 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 tda45/TdAI to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for tda45/TdAI to start chatting
- Atomic Chat new
- Docker Model Runner
How to use tda45/TdAI with Docker Model Runner:
docker model run hf.co/tda45/TdAI
- Lemonade
How to use tda45/TdAI with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull tda45/TdAI
Run and chat with the model
lemonade run user.TdAI-{{QUANT_TAG}}List all available models
lemonade list
| name: Server (sanitize) | |
| on: | |
| workflow_dispatch: # allows manual triggering | |
| inputs: | |
| sha: | |
| description: 'Commit SHA1 to build' | |
| required: false | |
| type: string | |
| slow_tests: | |
| description: 'Run slow tests' | |
| required: true | |
| type: boolean | |
| push: | |
| branches: | |
| - master | |
| paths: [ | |
| '.github/workflows/server-sanitize.yml', | |
| '**/CMakeLists.txt', | |
| '**/Makefile', | |
| '**/*.h', | |
| '**/*.hpp', | |
| '**/*.c', | |
| '**/*.cpp', | |
| 'tools/server/**.*' | |
| ] | |
| env: | |
| LLAMA_ARG_LOG_COLORS: 1 | |
| LLAMA_ARG_LOG_PREFIX: 1 | |
| LLAMA_ARG_LOG_TIMESTAMPS: 1 | |
| LLAMA_ARG_LOG_VERBOSITY: 10 | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.ref }}-${{ github.head_ref || github.run_id }} | |
| cancel-in-progress: true | |
| jobs: | |
| server: | |
| runs-on: [self-hosted, CPU, Linux, llama-server] | |
| strategy: | |
| matrix: | |
| sanitizer: [ADDRESS, UNDEFINED] # THREAD is very slow | |
| build_type: [RelWithDebInfo] | |
| fail-fast: false | |
| steps: | |
| #- name: Dependencies | |
| # id: depends | |
| # run: | | |
| # sudo apt-get update | |
| # sudo apt-get -y install \ | |
| # build-essential \ | |
| # xxd \ | |
| # git \ | |
| # cmake \ | |
| # curl \ | |
| # wget \ | |
| # language-pack-en \ | |
| # libssl-dev | |
| - name: Clone | |
| id: checkout | |
| uses: actions/checkout@v6 | |
| with: | |
| fetch-depth: 0 | |
| ref: ${{ github.event.inputs.sha || github.event.pull_request.head.sha || github.sha || github.head_ref || github.ref_name }} | |
| - name: Setup Node.js | |
| uses: actions/setup-node@v6 | |
| with: | |
| node-version: "24" | |
| cache: "npm" | |
| cache-dependency-path: "tools/ui/package-lock.json" | |
| - name: Build | |
| id: cmake_build | |
| run: | | |
| cmake -B build \ | |
| -DLLAMA_BUILD_BORINGSSL=ON \ | |
| -DGGML_SCHED_NO_REALLOC=ON \ | |
| -DGGML_SANITIZE_ADDRESS=${{ matrix.sanitizer == 'ADDRESS' }} \ | |
| -DGGML_SANITIZE_THREAD=${{ matrix.sanitizer == 'THREAD' }} \ | |
| -DGGML_SANITIZE_UNDEFINED=${{ matrix.sanitizer == 'UNDEFINED' }} \ | |
| -DLLAMA_SANITIZE_ADDRESS=${{ matrix.sanitizer == 'ADDRESS' }} \ | |
| -DLLAMA_SANITIZE_THREAD=${{ matrix.sanitizer == 'THREAD' }} \ | |
| -DLLAMA_SANITIZE_UNDEFINED=${{ matrix.sanitizer == 'UNDEFINED' }} | |
| cmake --build build --config ${{ matrix.build_type }} -j $(nproc) --target llama-server | |
| - name: Python setup | |
| id: setup_python | |
| uses: actions/setup-python@v6 | |
| with: | |
| python-version: '3.11' | |
| pip-install: -r tools/server/tests/requirements.txt | |
| - name: Tests | |
| id: server_integration_tests | |
| if: ${{ (!matrix.disabled_on_pr || !github.event.pull_request) }} | |
| run: | | |
| cd tools/server/tests | |
| export ${{ matrix.extra_args }} | |
| pytest -v -x -m "not slow" | |
| - name: Slow tests | |
| id: server_integration_tests_slow | |
| if: ${{ (github.event.schedule || github.event.inputs.slow_tests == 'true') && matrix.build_type == 'Release' }} | |
| run: | | |
| cd tools/server/tests | |
| export ${{ matrix.extra_args }} | |
| SLOW_TESTS=1 pytest -v -x | |