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 (sanitize) | |
| on: | |
| workflow_dispatch: # allows manual triggering | |
| push: | |
| branches: | |
| - master | |
| paths: [ | |
| '.github/workflows/build-sanitize.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: | |
| ctest: | |
| runs-on: [self-hosted, X64, CPU, Linux] | |
| continue-on-error: true | |
| strategy: | |
| matrix: | |
| sanitizer: [ADDRESS, THREAD, UNDEFINED] | |
| steps: | |
| - name: Clone | |
| id: checkout | |
| uses: actions/checkout@v6 | |
| # with UNDEFINED sanitizer, we have to build in Debug to avoid GCC 13 false-positive warnings | |
| - name: Build (undefined) | |
| id: cmake_build_undefined | |
| if: ${{ matrix.sanitizer == 'UNDEFINED' }} | |
| run: | | |
| cmake -B build \ | |
| -DCMAKE_BUILD_TYPE=Debug \ | |
| -DLLAMA_FATAL_WARNINGS=ON \ | |
| -DLLAMA_SANITIZE_${{ matrix.sanitizer }}=ON \ | |
| -DGGML_SANITIZE_${{ matrix.sanitizer }}=ON | |
| cmake --build build --config Debug -j $(nproc) | |
| - name: Build | |
| id: cmake_build | |
| if: ${{ matrix.sanitizer == 'ADDRESS' }} | |
| run: | | |
| cmake -B build \ | |
| -DCMAKE_BUILD_TYPE=RelWithDebInfo \ | |
| -DLLAMA_SANITIZE_${{ matrix.sanitizer }}=ON \ | |
| -DGGML_SANITIZE_${{ matrix.sanitizer }}=ON | |
| cmake --build build --config RelWithDebInfo -j $(nproc) | |
| - name: Build (no OpenMP) | |
| id: cmake_build_no_openmp | |
| if: ${{ matrix.sanitizer == 'THREAD' }} | |
| run: | | |
| cmake -B build \ | |
| -DCMAKE_BUILD_TYPE=RelWithDebInfo \ | |
| -DLLAMA_SANITIZE_${{ matrix.sanitizer }}=ON \ | |
| -DGGML_SANITIZE_${{ matrix.sanitizer }}=ON \ | |
| -DGGML_OPENMP=OFF | |
| cmake --build build --config RelWithDebInfo -j $(nproc) | |
| - name: Test | |
| id: cmake_test | |
| # skip run in Debug - very slow | |
| if: ${{ matrix.sanitizer != 'UNDEFINED' }} | |
| run: | | |
| cd build | |
| ctest -L main -E tokenizer --verbose --timeout 900 | |