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 (cpu) | |
| on: | |
| workflow_dispatch: # allows manual triggering | |
| push: | |
| branches: | |
| - master | |
| paths: [ | |
| '.github/workflows/build-cpu.yml', | |
| '.github/workflows/build-cmake-pkg.yml', | |
| '**/CMakeLists.txt', | |
| '**/.cmake', | |
| '**/*.h', | |
| '**/*.hpp', | |
| '**/*.c', | |
| '**/*.cpp', | |
| ] | |
| pull_request: | |
| types: [opened, synchronize, reopened] | |
| paths: [ | |
| '.github/workflows/build-cpu.yml', | |
| '.github/workflows/build-cmake-pkg.yml', | |
| '**/CMakeLists.txt', | |
| '**/.cmake', | |
| '**/*.h', | |
| '**/*.hpp', | |
| '**/*.c', | |
| '**/*.cpp' | |
| ] | |
| 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: | |
| build-cmake-pkg: | |
| uses: ./.github/workflows/build-cmake-pkg.yml | |
| ubuntu: | |
| strategy: | |
| matrix: | |
| include: | |
| - build: 'x64' | |
| os: ubuntu-22.04 | |
| - build: 'arm64' | |
| os: ubuntu-24.04-arm | |
| runs-on: ${{ matrix.os }} | |
| steps: | |
| - name: Clone | |
| id: checkout | |
| uses: actions/checkout@v6 | |
| - name: ccache | |
| uses: ggml-org/ccache-action@v1.2.21 | |
| with: | |
| key: cpu-${{ matrix.os }} | |
| evict-old-files: 1d | |
| save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} | |
| - name: Build Dependencies | |
| id: build_depends | |
| run: | | |
| sudo apt-get update | |
| sudo apt-get install -y --no-install-recommends \ | |
| python3 python3-pip python3-dev python3-wheel \ | |
| libjpeg-dev build-essential libssl-dev \ | |
| git-lfs | |
| - name: Toolchain workaround (GCC 14) | |
| if: ${{ contains(matrix.os, 'ubuntu-24.04') }} | |
| run: | | |
| sudo apt-get install -y gcc-14 g++-14 | |
| echo "CC=gcc-14" >> "$GITHUB_ENV" | |
| echo "CXX=g++-14" >> "$GITHUB_ENV" | |
| - name: Python Dependencies | |
| id: python_depends | |
| run: | | |
| export PIP_BREAK_SYSTEM_PACKAGES="1" | |
| python3 -m pip install --upgrade pip setuptools | |
| pip3 install ./gguf-py | |
| - name: Build | |
| id: cmake_build | |
| run: | | |
| cmake -B build \ | |
| -DLLAMA_FATAL_WARNINGS=ON \ | |
| -DGGML_RPC=ON | |
| time cmake --build build --config Release -j $(nproc) | |
| - name: Test | |
| id: cmake_test | |
| run: | | |
| cd build | |
| ctest -L main --verbose --timeout 900 | |
| - name: Test llama2c conversion | |
| id: llama2c_test | |
| run: | | |
| cd build | |
| echo "Fetch tokenizer" | |
| wget https://huggingface.co/karpathy/tinyllamas/resolve/main/stories260K/tok512.bin | |
| echo "Fetch llama2c model" | |
| wget https://huggingface.co/karpathy/tinyllamas/resolve/main/stories260K/stories260K.bin | |
| ./bin/llama-convert-llama2c-to-ggml --copy-vocab-from-model ./tok512.bin --llama2c-model stories260K.bin --llama2c-output-model stories260K.gguf | |
| ./bin/llama-completion -m stories260K.gguf -p "One day, Lily met a Shoggoth" -n 500 -c 256 | |
| windows: | |
| runs-on: windows-2025 | |
| env: | |
| OPENBLAS_VERSION: 0.3.23 | |
| SDE_VERSION: 9.33.0-2024-01-07 | |
| VULKAN_VERSION: 1.4.313.2 | |
| strategy: | |
| matrix: | |
| include: | |
| - build: 'x64-cpu-static' | |
| arch: 'x64' | |
| defines: '-G "Ninja Multi-Config" -D CMAKE_TOOLCHAIN_FILE=cmake/x64-windows-llvm.cmake -DGGML_NATIVE=OFF -DLLAMA_BUILD_SERVER=ON -DGGML_RPC=ON -DBUILD_SHARED_LIBS=OFF' | |
| - build: 'x64-openblas' | |
| arch: 'x64' | |
| defines: '-G "Ninja Multi-Config" -D CMAKE_TOOLCHAIN_FILE=cmake/x64-windows-llvm.cmake -DGGML_NATIVE=OFF -DLLAMA_BUILD_SERVER=ON -DGGML_RPC=ON -DGGML_BACKEND_DL=ON -DGGML_CPU_ALL_VARIANTS=ON -DGGML_OPENMP=OFF -DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS -DBLAS_INCLUDE_DIRS="$env:RUNNER_TEMP/openblas/include" -DBLAS_LIBRARIES="$env:RUNNER_TEMP/openblas/lib/openblas.lib"' | |
| - build: 'x64-vulkan' | |
| arch: 'x64' | |
| defines: '-G "Ninja Multi-Config" -D CMAKE_TOOLCHAIN_FILE=cmake/x64-windows-llvm.cmake -DCMAKE_BUILD_TYPE=Release -DGGML_NATIVE=OFF -DLLAMA_BUILD_SERVER=ON -DGGML_RPC=ON -DGGML_BACKEND_DL=ON -DGGML_CPU_ALL_VARIANTS=ON -DGGML_VULKAN=ON' | |
| - build: 'arm64' | |
| arch: 'arm64' | |
| defines: '-G "Ninja Multi-Config" -D CMAKE_TOOLCHAIN_FILE=cmake/arm64-windows-llvm.cmake -DGGML_NATIVE=OFF -DLLAMA_BUILD_SERVER=ON' | |
| steps: | |
| - name: Clone | |
| id: checkout | |
| uses: actions/checkout@v6 | |
| - name: ccache | |
| uses: ggml-org/ccache-action@v1.2.21 | |
| with: | |
| key: cpu-windows-2025-${{ matrix.build }} | |
| variant: ccache | |
| evict-old-files: 1d | |
| save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} | |
| - name: Download OpenBLAS | |
| id: get_openblas | |
| if: ${{ matrix.build == 'x64-openblas' }} | |
| run: | | |
| curl.exe -o $env:RUNNER_TEMP/openblas.zip -L "https://github.com/xianyi/OpenBLAS/releases/download/v${env:OPENBLAS_VERSION}/OpenBLAS-${env:OPENBLAS_VERSION}-x64.zip" | |
| curl.exe -o $env:RUNNER_TEMP/OpenBLAS.LICENSE.txt -L "https://github.com/xianyi/OpenBLAS/raw/v${env:OPENBLAS_VERSION}/LICENSE" | |
| mkdir $env:RUNNER_TEMP/openblas | |
| tar.exe -xvf $env:RUNNER_TEMP/openblas.zip -C $env:RUNNER_TEMP/openblas | |
| $vcdir = $(vswhere -latest -products * -requires Microsoft.VisualStudio.Component.VC.Tools.x86.x64 -property installationPath) | |
| $msvc = $(join-path $vcdir $('VC\Tools\MSVC\'+$(gc -raw $(join-path $vcdir 'VC\Auxiliary\Build\Microsoft.VCToolsVersion.default.txt')).Trim())) | |
| $lib = $(join-path $msvc 'bin\Hostx64\x64\lib.exe') | |
| & $lib /machine:x64 "/def:${env:RUNNER_TEMP}/openblas/lib/libopenblas.def" "/out:${env:RUNNER_TEMP}/openblas/lib/openblas.lib" /name:openblas.dll | |
| - name: Install Vulkan SDK | |
| id: get_vulkan | |
| if: ${{ matrix.build == 'x64-vulkan' }} | |
| run: | | |
| curl.exe -o $env:RUNNER_TEMP/VulkanSDK-Installer.exe -L "https://sdk.lunarg.com/sdk/download/${env:VULKAN_VERSION}/windows/vulkansdk-windows-X64-${env:VULKAN_VERSION}.exe" | |
| & "$env:RUNNER_TEMP\VulkanSDK-Installer.exe" --accept-licenses --default-answer --confirm-command install | |
| Add-Content $env:GITHUB_ENV "VULKAN_SDK=C:\VulkanSDK\${env:VULKAN_VERSION}" | |
| Add-Content $env:GITHUB_PATH "C:\VulkanSDK\${env:VULKAN_VERSION}\bin" | |
| - name: Install Ninja | |
| id: install_ninja | |
| run: | | |
| choco install ninja | |
| - name: Build | |
| id: cmake_build | |
| run: | | |
| cmake -S . -B build ${{ matrix.defines }} ` | |
| -DLLAMA_BUILD_BORINGSSL=ON | |
| cmake --build build --config Release -j ${env:NUMBER_OF_PROCESSORS} | |
| - name: Add libopenblas.dll | |
| id: add_libopenblas_dll | |
| if: ${{ matrix.build == 'x64-openblas' }} | |
| run: | | |
| cp $env:RUNNER_TEMP/openblas/bin/libopenblas.dll ./build/bin/Release/openblas.dll | |
| cp $env:RUNNER_TEMP/OpenBLAS.LICENSE.txt ./build/bin/Release/OpenBLAS-${env:OPENBLAS_VERSION}.txt | |
| - name: Test | |
| id: cmake_test | |
| if: ${{ matrix.arch == 'x64' }} | |
| run: | | |
| cd build | |
| ctest -L main -C Release --verbose --timeout 900 | |
| # TODO: disabled for now, consider adding tests for all CPU variants instead | |
| # - name: Test (Intel SDE) | |
| # id: cmake_test_sde | |
| # if: ${{ matrix.build == 'avx512-x64' && env.HAS_AVX512F == '0' }} # use Intel SDE for AVX-512 emulation | |
| # run: | | |
| # curl.exe -o $env:RUNNER_TEMP/sde.tar.xz -L "https://downloadmirror.intel.com/813591/sde-external-${env:SDE_VERSION}-win.tar.xz" | |
| # # for some weird reason windows tar doesn't like sde tar.xz | |
| # 7z x "-o${env:RUNNER_TEMP}" $env:RUNNER_TEMP/sde.tar.xz | |
| # 7z x "-o${env:RUNNER_TEMP}" $env:RUNNER_TEMP/sde.tar | |
| # $sde = $(join-path $env:RUNNER_TEMP sde-external-${env:SDE_VERSION}-win/sde.exe) | |
| # cd build | |
| # $env:LLAMA_SKIP_TESTS_SLOW_ON_EMULATOR = 1 | |
| # & $sde -future -- ctest -L main -C Release --verbose --timeout 900 | |