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 (snapdragon) | |
| on: | |
| workflow_dispatch: | |
| push: | |
| branches: | |
| - master | |
| paths: | |
| - '.github/workflows/build-and-test-snapdragon.yml' | |
| - 'ggml/include/ggml-hexagon.h' | |
| - 'ggml/src/ggml-hexagon/**' | |
| - 'docs/backend/snapdragon/**' | |
| - 'scripts/snapdragon/**' | |
| - 'CMakePresets.json' | |
| pull_request: | |
| types: [opened, synchronize, reopened] | |
| paths: | |
| - '.github/workflows/build-and-test-snapdragon.yml' | |
| - 'ggml/include/ggml-hexagon.h' | |
| - 'ggml/src/ggml-hexagon/**' | |
| - 'docs/backend/snapdragon/**' | |
| - 'scripts/snapdragon/**' | |
| - 'CMakePresets.json' | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }} | |
| cancel-in-progress: true | |
| jobs: | |
| android-ndk-snapdragon: | |
| runs-on: ubuntu-latest | |
| container: | |
| image: 'ghcr.io/snapdragon-toolchain/arm64-android:v0.7' | |
| defaults: | |
| run: | |
| shell: bash | |
| steps: | |
| - name: Clone | |
| uses: actions/checkout@v6 | |
| with: | |
| fetch-depth: 0 | |
| lfs: false | |
| - name: Build Llama.CPP for Snapdragon Android | |
| id: build_llama_cpp_snapdragon_android | |
| run: | | |
| cp docs/backend/snapdragon/CMakeUserPresets.json . | |
| cmake --preset arm64-android-snapdragon-release -B build | |
| cmake --build build | |
| cmake --install build --prefix pkg-snapdragon/llama.cpp | |
| - name: Upload Llama.CPP Snapdragon Android Build Artifact | |
| if: ${{ always() && steps.build_llama_cpp_snapdragon_android.outcome == 'success' }} | |
| uses: actions/upload-artifact@v6 | |
| with: | |
| name: llama-cpp-android-arm64-snapdragon | |
| path: pkg-snapdragon/llama.cpp | |
| linux-iot-snapdragon: | |
| runs-on: ubuntu-latest | |
| container: | |
| image: 'ghcr.io/snapdragon-toolchain/arm64-linux:v0.7' | |
| defaults: | |
| run: | |
| shell: bash | |
| steps: | |
| - name: Clone | |
| uses: actions/checkout@v6 | |
| with: | |
| fetch-depth: 0 | |
| lfs: false | |
| - name: Build Llama.CPP for Snapdragon Linux IoT | |
| id: build_llama_cpp_snapdragon_linux | |
| run: | | |
| cp docs/backend/snapdragon/CMakeUserPresets.json . | |
| cmake --preset arm64-linux-snapdragon-release -B build-snapdragon -DGGML_OPENCL=ON | |
| cmake --build build-snapdragon -j $(nproc) | |
| cmake --install build-snapdragon --prefix pkg-snapdragon/llama.cpp | |
| - name: Upload Llama.CPP Snapdragon Linux IoT Build Artifact | |
| if: ${{ always() && steps.build_llama_cpp_snapdragon_linux.outcome == 'success' }} | |
| uses: actions/upload-artifact@v6 | |
| with: | |
| name: llama-cpp-linux-arm64-snapdragon | |
| path: pkg-snapdragon/llama.cpp | |
| test-snapdragon-qdc: | |
| name: Test on QDC Device (${{ matrix.device }}) | |
| needs: [android-ndk-snapdragon, linux-iot-snapdragon] | |
| runs-on: ubuntu-24.04-arm | |
| timeout-minutes: 90 | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| device: [SM8750, SM8850, QCS9075M] | |
| steps: | |
| - name: Checkout | |
| uses: actions/checkout@v6 | |
| - name: Download build artifact | |
| uses: actions/download-artifact@v7 | |
| with: | |
| name: ${{ startsWith(matrix.device, 'QCS') && 'llama-cpp-linux-arm64-snapdragon' || 'llama-cpp-android-arm64-snapdragon' }} | |
| path: pkg-snapdragon/llama.cpp | |
| - name: Set up Python | |
| uses: actions/setup-python@v6 | |
| with: | |
| python-version: '3.x' | |
| cache: pip | |
| - name: Install system dependencies | |
| run: | | |
| sudo apt-get update | |
| sudo apt-get install -y curl unzip | |
| - name: Install QDC SDK wheel | |
| run: | | |
| curl -fSL -o qdc_sdk.zip https://softwarecenter.qualcomm.com/api/download/software/tools/Qualcomm_Device_Cloud_SDK/All/0.2.3/qualcomm_device_cloud_sdk-0.2.3.zip | |
| unzip qdc_sdk.zip -d qdc_sdk | |
| pip install qdc_sdk/qualcomm_device_cloud_sdk-0.2.3-py3-none-any.whl | |
| - name: Check QDC API key | |
| id: check_secret | |
| env: | |
| QDC_API_KEY: ${{ secrets.QDC_API_KEY }} | |
| run: echo "has-qdc-key=${{ env.QDC_API_KEY != '' }}" >> "$GITHUB_OUTPUT" | |
| - name: Run QDC tests (${{ matrix.device }}) | |
| if: steps.check_secret.outputs.has-qdc-key == 'true' | |
| run: | | |
| python scripts/snapdragon/qdc/run_qdc_jobs.py \ | |
| --test all \ | |
| --pkg-dir pkg-snapdragon/llama.cpp \ | |
| --model-url "https://huggingface.co/bartowski/Llama-3.2-1B-Instruct-GGUF/resolve/main/Llama-3.2-1B-Instruct-Q4_0.gguf" \ | |
| --device ${{ matrix.device }} \ | |
| ${{ startsWith(matrix.device, 'QCS') && '--retries 2 --retry-delay 300' || '' }} | |
| env: | |
| QDC_API_KEY: ${{ secrets.QDC_API_KEY }} | |
| - name: Cleanup | |
| if: always() | |
| run: rm -rf pkg-snapdragon qdc_sdk qdc_sdk.zip | |