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 (sycl) | |
| on: | |
| workflow_dispatch: # allows manual triggering | |
| push: | |
| branches: | |
| - master | |
| paths: [ | |
| '.github/workflows/build-sycl.yml', | |
| '**/CMakeLists.txt', | |
| '**/.cmake', | |
| '**/*.h', | |
| '**/*.hpp', | |
| '**/*.c', | |
| '**/*.cpp' | |
| ] | |
| pull_request: | |
| types: [opened, synchronize, reopened] | |
| paths: [ | |
| '.github/workflows/build-sycl.yml', | |
| 'ggml/src/ggml-sycl/**' | |
| ] | |
| 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: | |
| ubuntu-24-sycl: | |
| strategy: | |
| matrix: | |
| build: [fp32, fp16] | |
| include: | |
| - build: fp32 | |
| fp16: OFF | |
| - build: fp16 | |
| fp16: ON | |
| runs-on: ubuntu-24.04 | |
| env: | |
| ONEAPI_ROOT: /opt/intel/oneapi/ | |
| ONEAPI_INSTALLER_VERSION: "2025.3.3" | |
| LEVEL_ZERO_VERSION: "1.28.2" | |
| LEVEL_ZERO_UBUNTU_VERSION: "u24.04" | |
| continue-on-error: true | |
| steps: | |
| - name: Clone | |
| id: checkout | |
| uses: actions/checkout@v6 | |
| - name: Download & Install oneAPI | |
| shell: bash | |
| run: | | |
| cd /tmp | |
| wget https://registrationcenter-download.intel.com/akdlm/IRC_NAS/56f7923a-adb8-43f3-8b02-2b60fcac8cab/intel-deep-learning-essentials-2025.3.3.16_offline.sh -O intel-deep-learning-essentials_offline.sh | |
| sudo bash intel-deep-learning-essentials_offline.sh -s -a --silent --eula accept | |
| - name: Install Level Zero SDK | |
| shell: bash | |
| run: | | |
| cd /tmp | |
| wget -q "https://github.com/oneapi-src/level-zero/releases/download/v${LEVEL_ZERO_VERSION}/level-zero_${LEVEL_ZERO_VERSION}%2B${LEVEL_ZERO_UBUNTU_VERSION}_amd64.deb" -O level-zero.deb | |
| wget -q "https://github.com/oneapi-src/level-zero/releases/download/v${LEVEL_ZERO_VERSION}/level-zero-devel_${LEVEL_ZERO_VERSION}%2B${LEVEL_ZERO_UBUNTU_VERSION}_amd64.deb" -O level-zero-devel.deb | |
| sudo apt-get install -y ./level-zero.deb ./level-zero-devel.deb | |
| - name: ccache | |
| uses: ggml-org/ccache-action@v1.2.21 | |
| with: | |
| key: sycl-ubuntu-24-${{ matrix.build }} | |
| evict-old-files: 1d | |
| save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} | |
| - name: Build | |
| id: cmake_build | |
| run: | | |
| source /opt/intel/oneapi/setvars.sh | |
| cmake -B build \ | |
| -G "Ninja" \ | |
| -DCMAKE_BUILD_TYPE=Release \ | |
| -DGGML_SYCL=ON \ | |
| -DCMAKE_C_COMPILER=icx \ | |
| -DCMAKE_CXX_COMPILER=icpx \ | |
| -DLLAMA_OPENSSL=OFF \ | |
| -DGGML_NATIVE=OFF \ | |
| -DGGML_SYCL_F16=${{ matrix.fp16 }} | |
| time cmake --build build --config Release -j $(nproc) | |
| windows-latest-sycl: | |
| runs-on: windows-2022 | |
| defaults: | |
| run: | |
| shell: bash | |
| env: | |
| WINDOWS_BASEKIT_URL: https://registrationcenter-download.intel.com/akdlm/IRC_NAS/b60765d1-2b85-4e85-86b6-cb0e9563a699/intel-deep-learning-essentials-2025.3.3.18_offline.exe | |
| WINDOWS_DPCPP_MKL: intel.oneapi.win.cpp-dpcpp-common:intel.oneapi.win.mkl.devel:intel.oneapi.win.dnnl:intel.oneapi.win.tbb.devel | |
| LEVEL_ZERO_SDK_URL: https://github.com/oneapi-src/level-zero/releases/download/v1.28.2/level-zero-win-sdk-1.28.2.zip | |
| ONEAPI_ROOT: "C:/Program Files (x86)/Intel/oneAPI" | |
| ONEAPI_INSTALLER_VERSION: "2025.3.3" | |
| steps: | |
| - name: Clone | |
| id: checkout | |
| uses: actions/checkout@v6 | |
| - name: Download & Install oneAPI | |
| shell: bash | |
| run: | | |
| scripts/install-oneapi.bat $WINDOWS_BASEKIT_URL $WINDOWS_DPCPP_MKL | |
| - name: Install Level Zero SDK | |
| shell: pwsh | |
| run: | | |
| Invoke-WebRequest -Uri "${{ env.LEVEL_ZERO_SDK_URL }}" -OutFile "level-zero-win-sdk.zip" | |
| Expand-Archive -Path "level-zero-win-sdk.zip" -DestinationPath "C:/level-zero-sdk" -Force | |
| "LEVEL_ZERO_V1_SDK_PATH=C:/level-zero-sdk" | Out-File -FilePath $env:GITHUB_ENV -Append | |
| - name: ccache | |
| uses: ggml-org/ccache-action@v1.2.21 | |
| with: | |
| key: sycl-windows-latest | |
| variant: ccache | |
| evict-old-files: 1d | |
| save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }} | |
| # TODO: add ssl support ; we will also need to modify win-build-sycl.bat to accept user-specified args | |
| - name: Build | |
| id: cmake_build | |
| run: examples/sycl/win-build-sycl.bat | |