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: CI (webgpu) | |
| on: | |
| workflow_dispatch: # allows manual triggering | |
| push: | |
| branches: | |
| - master | |
| paths: [ | |
| '.github/workflows/build-webgpu.yml', | |
| '**/CMakeLists.txt', | |
| '**/.cmake', | |
| '**/*.h', | |
| '**/*.hpp', | |
| '**/*.c', | |
| '**/*.cpp', | |
| '**/*.wgsl' | |
| ] | |
| pull_request: | |
| types: [opened, synchronize, reopened] | |
| paths: [ | |
| '.github/workflows/build-webgpu.yml', | |
| 'ggml/src/ggml-webgpu/**' | |
| ] | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }} | |
| cancel-in-progress: true | |
| env: | |
| GGML_NLOOP: 3 | |
| GGML_N_THREADS: 1 | |
| LLAMA_ARG_LOG_COLORS: 1 | |
| LLAMA_ARG_LOG_PREFIX: 1 | |
| LLAMA_ARG_LOG_TIMESTAMPS: 1 | |
| jobs: | |
| format: | |
| runs-on: ubuntu-24.04 | |
| steps: | |
| - name: Clone | |
| uses: actions/checkout@v6 | |
| - name: Install clang-format 22 | |
| run: | | |
| wget -qO- https://apt.llvm.org/llvm-snapshot.gpg.key | | |
| sudo tee /etc/apt/trusted.gpg.d/apt.llvm.org.asc > /dev/null | |
| sudo add-apt-repository -y \ | |
| "deb http://apt.llvm.org/noble/ llvm-toolchain-noble-22 main" | |
| sudo apt-get update | |
| sudo apt-get install -y clang-format-22 | |
| - name: Check formatting | |
| run: | | |
| find ggml/src/ggml-webgpu \ | |
| -type f \( -name '*.cpp' -o -name '*.hpp' -o -name '*.h' \) \ | |
| -print0 | | |
| xargs -0 clang-format-22 --dry-run --Werror | |
| macos: | |
| runs-on: macos-latest | |
| steps: | |
| - name: Clone | |
| id: checkout | |
| uses: actions/checkout@v6 | |
| - name: ccache | |
| uses: ggml-org/ccache-action@v1.2.21 | |
| with: | |
| key: webgpu-macos-latest | |
| evict-old-files: 1d | |
| save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} | |
| - name: Dawn Dependency | |
| id: dawn-depends | |
| run: | | |
| DAWN_VERSION="v20260317.182325" | |
| DAWN_OWNER="google" | |
| DAWN_REPO="dawn" | |
| DAWN_ASSET_NAME="Dawn-18eb229ef5f707c1464cc581252e7603c73a3ef0-macos-latest-Release" | |
| echo "Fetching release asset from https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz" | |
| curl -L -o artifact.tar.gz \ | |
| "https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz" | |
| mkdir dawn | |
| tar -xvf artifact.tar.gz -C dawn --strip-components=1 | |
| - name: Build | |
| id: cmake_build | |
| run: | | |
| export CMAKE_PREFIX_PATH=dawn | |
| cmake -B build -G "Ninja" -DCMAKE_BUILD_TYPE=Release -DGGML_WEBGPU=ON -DGGML_METAL=OFF -DGGML_BLAS=OFF | |
| time cmake --build build --config Release -j $(sysctl -n hw.logicalcpu) | |
| - name: Test | |
| id: cmake_test | |
| run: | | |
| cd build | |
| ctest -L main --verbose --timeout 900 | |
| ubuntu: | |
| runs-on: ubuntu-24.04 | |
| steps: | |
| - name: Clone | |
| id: checkout | |
| uses: actions/checkout@v6 | |
| - name: ccache | |
| uses: ggml-org/ccache-action@v1.2.21 | |
| with: | |
| key: webgpu-ubuntu-24.04 | |
| evict-old-files: 1d | |
| save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} | |
| - name: Dependencies | |
| id: depends | |
| run: | | |
| sudo add-apt-repository -y ppa:kisak/kisak-mesa | |
| sudo apt-get update -y | |
| sudo apt-get install -y build-essential mesa-vulkan-drivers \ | |
| libxcb-xinput0 libxcb-xinerama0 libxcb-cursor-dev libssl-dev | |
| - name: Dawn Dependency | |
| id: dawn-depends | |
| run: | | |
| sudo apt-get install -y libxrandr-dev libxinerama-dev libxcursor-dev mesa-common-dev libx11-xcb-dev libxi-dev | |
| DAWN_VERSION="v20260317.182325" | |
| DAWN_OWNER="google" | |
| DAWN_REPO="dawn" | |
| DAWN_ASSET_NAME="Dawn-18eb229ef5f707c1464cc581252e7603c73a3ef0-ubuntu-latest-Release" | |
| echo "Fetching release asset from https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz" | |
| curl -L -o artifact.tar.gz \ | |
| "https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz" | |
| mkdir dawn | |
| tar -xvf artifact.tar.gz -C dawn --strip-components=1 | |
| - name: Build | |
| id: cmake_build | |
| run: | | |
| export Dawn_DIR=dawn/lib64/cmake/Dawn | |
| cmake -B build \ | |
| -DGGML_WEBGPU=ON | |
| time cmake --build build --config Release -j $(nproc) | |
| - name: Test | |
| id: cmake_test | |
| run: | | |
| cd build | |
| # This is using llvmpipe and runs slower than other backends | |
| # test-backend-ops is too slow on llvmpipe, skip it | |
| ctest -L main -E test-backend-ops --verbose --timeout 900 | |
| ubuntu-wasm: | |
| runs-on: ubuntu-24.04-arm | |
| steps: | |
| - name: Clone | |
| id: checkout | |
| uses: actions/checkout@v6 | |
| - name: ccache | |
| uses: ggml-org/ccache-action@v1.2.21 | |
| with: | |
| key: webgpu-ubuntu-24.04-arm-wasm | |
| evict-old-files: 1d | |
| save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} | |
| - name: Install Emscripten | |
| run: | | |
| git clone https://github.com/emscripten-core/emsdk.git | |
| cd emsdk | |
| ./emsdk install latest | |
| ./emsdk activate latest | |
| - name: Fetch emdawnwebgpu | |
| run: | | |
| DAWN_TAG="v20260317.182325" | |
| EMDAWN_PKG="emdawnwebgpu_pkg-${DAWN_TAG}.zip" | |
| echo "Downloading ${EMDAWN_PKG}" | |
| curl -L -o emdawn.zip \ | |
| "https://github.com/google/dawn/releases/download/${DAWN_TAG}/${EMDAWN_PKG}" | |
| unzip emdawn.zip | |
| - name: Build WASM WebGPU | |
| run: | | |
| source emsdk/emsdk_env.sh | |
| emcmake cmake -B build-wasm \ | |
| -G "Ninja" \ | |
| -DCMAKE_BUILD_TYPE=Release \ | |
| -DGGML_WEBGPU=ON \ | |
| -DLLAMA_OPENSSL=OFF \ | |
| -DEMDAWNWEBGPU_DIR=emdawnwebgpu_pkg | |
| time cmake --build build-wasm --config Release --target test-backend-ops -j $(nproc) | |