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
| ARG OPENVINO_VERSION_MAJOR=2026.2.1 | |
| ARG OPENVINO_VERSION_FULL=2026.2.1.21919.ede283a88e3 | |
| ARG UBUNTU_VERSION=24.04 | |
| # Intel GPU driver versions. https://github.com/intel/compute-runtime/releases | |
| ARG IGC_VERSION=v2.36.3 | |
| ARG IGC_VERSION_FULL=2_2.36.3+21719 | |
| ARG COMPUTE_RUNTIME_VERSION=26.22.38646.4 | |
| ARG COMPUTE_RUNTIME_VERSION_FULL=26.22.38646.4-0 | |
| ARG IGDGMM_VERSION=22.10.0 | |
| # Intel NPU driver versions. https://github.com/intel/linux-npu-driver/releases | |
| ARG NPU_DRIVER_VERSION=v1.33.0 | |
| ARG NPU_DRIVER_FULL=v1.33.0.20260529-26625960453 | |
| ARG LIBZE1_VERSION=1.27.0-1~24.04~ppa2 | |
| # Optional proxy build arguments | |
| ARG http_proxy= | |
| ARG https_proxy= | |
| ARG BUILD_DATE=N/A | |
| ARG APP_VERSION=N/A | |
| ARG APP_REVISION=N/A | |
| ARG NODE_VERSION=24 | |
| FROM docker.io/node:$NODE_VERSION AS web | |
| ARG APP_VERSION | |
| WORKDIR /app/tools/ui | |
| COPY tools/ui/package.json tools/ui/package-lock.json ./ | |
| RUN npm ci | |
| COPY tools/ui/ ./ | |
| RUN LLAMA_BUILD_NUMBER="$APP_VERSION" npm run build | |
| ## Build Image | |
| FROM docker.io/ubuntu:${UBUNTU_VERSION} AS build | |
| # Pass proxy args to build stage | |
| ARG http_proxy | |
| ARG https_proxy | |
| RUN apt-get update && \ | |
| apt-get install -y --no-install-recommends \ | |
| ca-certificates \ | |
| gnupg \ | |
| wget \ | |
| git \ | |
| cmake \ | |
| ninja-build \ | |
| build-essential \ | |
| libtbb12 \ | |
| libssl-dev \ | |
| ocl-icd-opencl-dev \ | |
| opencl-headers \ | |
| opencl-clhpp-headers \ | |
| intel-opencl-icd && \ | |
| rm -rf /var/lib/apt/lists/* | |
| # OpenVINO toolkit and GPU/NPU drivers are cached via BuildKit cache mounts to avoid re-downloading on rebuilds. | |
| # Install OpenVINO for Ubuntu 24.04. | |
| ARG OPENVINO_VERSION_MAJOR | |
| ARG OPENVINO_VERSION_FULL | |
| RUN --mount=type=cache,target=/var/cache/openvino,sharing=locked \ | |
| mkdir -p /opt/intel && \ | |
| TGZ=/var/cache/openvino/openvino_toolkit_ubuntu24_${OPENVINO_VERSION_FULL}_x86_64.tgz && \ | |
| if [ ! -f "$TGZ" ]; then \ | |
| wget -O "$TGZ" https://storage.openvinotoolkit.org/repositories/openvino/packages/${OPENVINO_VERSION_MAJOR}/linux/openvino_toolkit_ubuntu24_${OPENVINO_VERSION_FULL}_x86_64.tgz; \ | |
| fi && \ | |
| tar -xf "$TGZ" -C /opt/intel/ && \ | |
| mv /opt/intel/openvino_toolkit_ubuntu24_${OPENVINO_VERSION_FULL}_x86_64 /opt/intel/openvino_${OPENVINO_VERSION_MAJOR} && \ | |
| cd /opt/intel/openvino_${OPENVINO_VERSION_MAJOR} && \ | |
| echo "Y" | ./install_dependencies/install_openvino_dependencies.sh && \ | |
| cd - && \ | |
| ln -s /opt/intel/openvino_${OPENVINO_VERSION_MAJOR} /opt/intel/openvino | |
| ENV OpenVINO_DIR=/opt/intel/openvino | |
| WORKDIR /app | |
| COPY . . | |
| COPY --from=web /app/tools/ui/dist tools/ui/dist | |
| # Build Stage | |
| RUN bash -c "source ${OpenVINO_DIR}/setupvars.sh && \ | |
| cmake -B build/ReleaseOV -G Ninja \ | |
| -DCMAKE_BUILD_TYPE=Release \ | |
| -DLLAMA_BUILD_TESTS=OFF \ | |
| -DGGML_OPENVINO=ON && \ | |
| cmake --build build/ReleaseOV --parallel " | |
| # Copy all necessary libraries (build outputs + OpenVINO runtime libs) | |
| RUN mkdir -p /app/lib && \ | |
| find build/ReleaseOV -name '*.so*' -exec cp -P {} /app/lib \; && \ | |
| find "${OpenVINO_DIR}/runtime/lib/intel64" -name '*.so*' -exec cp -P {} /app/lib \; | |
| # Create runtime directories and copy binaries | |
| RUN mkdir -p /app/full \ | |
| && cp build/ReleaseOV/bin/* /app/full/ \ | |
| && cp *.py /app/full \ | |
| && cp -r conversion /app/full \ | |
| && cp -r gguf-py /app/full \ | |
| && cp -r requirements /app/full \ | |
| && cp requirements.txt /app/full \ | |
| && cp .devops/tools.sh /app/full/tools.sh | |
| ## Base Runtime Image | |
| FROM docker.io/ubuntu:${UBUNTU_VERSION} AS base | |
| # Pass proxy args to runtime stage | |
| ARG http_proxy | |
| ARG https_proxy | |
| ARG BUILD_DATE=N/A | |
| ARG APP_VERSION=N/A | |
| ARG APP_REVISION=N/A | |
| ARG IMAGE_URL=https://github.com/ggml-org/llama.cpp | |
| ARG IMAGE_SOURCE=https://github.com/ggml-org/llama.cpp | |
| LABEL org.opencontainers.image.created=$BUILD_DATE \ | |
| org.opencontainers.image.version=$APP_VERSION \ | |
| org.opencontainers.image.revision=$APP_REVISION \ | |
| org.opencontainers.image.title="llama.cpp" \ | |
| org.opencontainers.image.description="LLM inference in C/C++" \ | |
| org.opencontainers.image.url=$IMAGE_URL \ | |
| org.opencontainers.image.source=$IMAGE_SOURCE | |
| RUN apt-get update \ | |
| && apt-get install -y libgomp1 libtbb12 curl wget ffmpeg ocl-icd-libopencl1 \ | |
| && apt autoremove -y \ | |
| && apt clean -y \ | |
| && rm -rf /tmp/* /var/tmp/* \ | |
| && find /var/cache/apt/archives /var/lib/apt/lists -not -name lock -type f -delete \ | |
| && find /var/cache -type f -delete | |
| # Install GPU drivers | |
| ARG IGC_VERSION | |
| ARG IGC_VERSION_FULL | |
| ARG COMPUTE_RUNTIME_VERSION | |
| ARG COMPUTE_RUNTIME_VERSION_FULL | |
| ARG IGDGMM_VERSION | |
| RUN --mount=type=cache,target=/var/cache/intel-gpu,sharing=locked \ | |
| set -eux; \ | |
| cd /var/cache/intel-gpu; \ | |
| for url in \ | |
| https://github.com/intel/intel-graphics-compiler/releases/download/${IGC_VERSION}/intel-igc-core-${IGC_VERSION_FULL}_amd64.deb \ | |
| https://github.com/intel/intel-graphics-compiler/releases/download/${IGC_VERSION}/intel-igc-opencl-${IGC_VERSION_FULL}_amd64.deb \ | |
| https://github.com/intel/compute-runtime/releases/download/${COMPUTE_RUNTIME_VERSION}/intel-ocloc_${COMPUTE_RUNTIME_VERSION_FULL}_amd64.deb \ | |
| https://github.com/intel/compute-runtime/releases/download/${COMPUTE_RUNTIME_VERSION}/intel-opencl-icd_${COMPUTE_RUNTIME_VERSION_FULL}_amd64.deb \ | |
| https://github.com/intel/compute-runtime/releases/download/${COMPUTE_RUNTIME_VERSION}/libigdgmm12_${IGDGMM_VERSION}_amd64.deb \ | |
| https://github.com/intel/compute-runtime/releases/download/${COMPUTE_RUNTIME_VERSION}/libze-intel-gpu1_${COMPUTE_RUNTIME_VERSION_FULL}_amd64.deb ; do \ | |
| f=$(basename "$url"); \ | |
| [ -f "$f" ] || wget -q -O "$f" "$url"; \ | |
| done; \ | |
| apt-get update; \ | |
| apt-get install -y --no-install-recommends ./*.deb; \ | |
| rm -rf /var/lib/apt/lists/* | |
| # Install NPU drivers | |
| ARG NPU_DRIVER_VERSION | |
| ARG NPU_DRIVER_FULL | |
| ARG LIBZE1_VERSION | |
| RUN --mount=type=cache,target=/var/cache/intel-npu,sharing=locked \ | |
| set -eux; \ | |
| TGZ=/var/cache/intel-npu/linux-npu-driver-${NPU_DRIVER_FULL}-ubuntu2404.tar.gz; \ | |
| if [ ! -f "$TGZ" ]; then \ | |
| wget -q -O "$TGZ" https://github.com/intel/linux-npu-driver/releases/download/${NPU_DRIVER_VERSION}/linux-npu-driver-${NPU_DRIVER_FULL}-ubuntu2404.tar.gz; \ | |
| fi; \ | |
| DEB=/var/cache/intel-npu/libze1_${LIBZE1_VERSION}_amd64.deb; \ | |
| if [ ! -f "$DEB" ]; then \ | |
| wget -q -O "$DEB" https://snapshot.ppa.launchpadcontent.net/kobuk-team/intel-graphics/ubuntu/20260324T100000Z/pool/main/l/level-zero-loader/libze1_${LIBZE1_VERSION}_amd64.deb; \ | |
| fi; \ | |
| mkdir /tmp/npu/ && cd /tmp/npu/ && tar -xf "$TGZ" && cp "$DEB" .; \ | |
| apt-get update; \ | |
| apt-get install -y --no-install-recommends ./*.deb; \ | |
| rm -rf /tmp/npu/ /var/lib/apt/lists/* | |
| COPY --from=build /app/lib/ /app/ | |
| ### Full (all binaries) | |
| FROM base AS full | |
| ARG http_proxy | |
| ARG https_proxy | |
| COPY --from=build /app/full /app/ | |
| WORKDIR /app | |
| RUN apt-get update && \ | |
| apt-get install -y --no-install-recommends \ | |
| git \ | |
| python3 \ | |
| python3-venv \ | |
| python3-pip && \ | |
| python3 -m venv /openvino-venv && \ | |
| /openvino-venv/bin/pip install --no-cache-dir --upgrade pip setuptools wheel && \ | |
| /openvino-venv/bin/pip install --no-cache-dir -r requirements.txt && \ | |
| apt-get autoremove -y && \ | |
| apt-get clean && \ | |
| rm -rf /tmp/* /var/tmp/* && \ | |
| find /var/cache/apt/archives /var/lib/apt/lists -not -name lock -type f -delete && \ | |
| find /var/cache -type f -delete | |
| # Activate the venv | |
| ENV VIRTUAL_ENV=/openvino-venv \ | |
| PATH=/openvino-venv/bin:$PATH | |
| ENTRYPOINT ["/app/tools.sh"] | |
| ### Light, CLI only | |
| FROM base AS light | |
| COPY --from=build /app/full/llama /app/full/llama-cli /app/full/llama-completion /app/ | |
| WORKDIR /app | |
| ENTRYPOINT [ "/app/llama-cli" ] | |
| ### Server, Server only | |
| FROM base AS server | |
| ENV LLAMA_ARG_HOST=0.0.0.0 | |
| COPY --from=build /app/full/llama /app/full/llama-server /app/ | |
| WORKDIR /app | |
| HEALTHCHECK CMD [ "curl", "-f", "http://localhost:8080/health" ] | |
| ENTRYPOINT [ "/app/llama-server" ] | |