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 ONEAPI_VERSION=2025.3.3-0-devel-ubuntu24.04 | |
| ARG BUILD_DATE=N/A | |
| ARG APP_VERSION=N/A | |
| ARG APP_REVISION=N/A | |
| ## Build Image | |
| 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 | |
| FROM docker.io/intel/deep-learning-essentials:$ONEAPI_VERSION AS build | |
| ARG GGML_SYCL_F16=ON | |
| ARG LEVEL_ZERO_VERSION=1.28.2 | |
| ARG LEVEL_ZERO_UBUNTU_VERSION=u24.04 | |
| RUN apt-get update && \ | |
| apt-get install -y git libssl-dev wget ca-certificates && \ | |
| cd /tmp && \ | |
| wget -q "https://github.com/oneapi-src/level-zero/releases/download/v${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${LEVEL_ZERO_UBUNTU_VERSION}_amd64.deb" -O level-zero-devel.deb && \ | |
| apt-get -o Dpkg::Options::="--force-overwrite" install -y ./level-zero.deb ./level-zero-devel.deb && \ | |
| rm -f /tmp/level-zero.deb /tmp/level-zero-devel.deb | |
| WORKDIR /app | |
| COPY . . | |
| COPY --from=web /app/tools/ui/dist tools/ui/dist | |
| RUN if [ "${GGML_SYCL_F16}" = "ON" ]; then \ | |
| echo "GGML_SYCL_F16 is set" \ | |
| && export OPT_SYCL_F16="-DGGML_SYCL_F16=ON" \ | |
| && export SYCL_PROGRAM_COMPILE_OPTIONS="-cl-fp32-correctly-rounded-divide-sqrt"; \ | |
| fi && \ | |
| echo "Building with dynamic libs" && \ | |
| cmake -B build -DGGML_NATIVE=OFF -DGGML_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DGGML_BACKEND_DL=ON -DGGML_CPU_ALL_VARIANTS=ON -DLLAMA_BUILD_TESTS=OFF ${OPT_SYCL_F16} && \ | |
| cmake --build build --config Release -j$(nproc) | |
| RUN mkdir -p /app/lib && \ | |
| find build -name "*.so*" -exec cp -P {} /app/lib \; | |
| RUN mkdir -p /app/full \ | |
| && cp build/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 | |
| FROM docker.io/intel/deep-learning-essentials:$ONEAPI_VERSION AS base | |
| ARG BUILD_DATE=N/A | |
| ARG APP_VERSION=N/A | |
| ARG APP_REVISION=N/A | |
| ARG IMAGE_URL=https://github.com/ggml-org/llama.cpp | |
| ARG IMAGE_SOURCE=https://github.com/ggml-org/llama.cpp | |
| LABEL org.opencontainers.image.created=$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 | |
| #Following versions are for multiple GPUs, since 26.x has known issue: | |
| # https://github.com/ggml-org/llama.cpp/issues/21747, | |
| # https://github.com/intel/compute-runtime/issues/921. | |
| #ARG IGC_VERSION=v2.20.5 | |
| #ARG IGC_VERSION_FULL=2_2.20.5+19972 | |
| #ARG COMPUTE_RUNTIME_VERSION=25.40.35563.10 | |
| #ARG COMPUTE_RUNTIME_VERSION_FULL=25.40.35563.10-0 | |
| #ARG IGDGMM_VERSION=22.8.2 | |
| ARG IGC_VERSION=v2.34.4 | |
| ARG IGC_VERSION_FULL=2_2.34.4+21428 | |
| ARG COMPUTE_RUNTIME_VERSION=26.18.38308.1 | |
| ARG COMPUTE_RUNTIME_VERSION_FULL=26.18.38308.1-0 | |
| ARG IGDGMM_VERSION=22.10.0 | |
| RUN mkdir /tmp/neo/ && cd /tmp/neo/ \ | |
| && wget https://github.com/intel/intel-graphics-compiler/releases/download/$IGC_VERSION/intel-igc-core-${IGC_VERSION_FULL}_amd64.deb \ | |
| && wget https://github.com/intel/intel-graphics-compiler/releases/download/$IGC_VERSION/intel-igc-opencl-${IGC_VERSION_FULL}_amd64.deb \ | |
| && wget https://github.com/intel/compute-runtime/releases/download/$COMPUTE_RUNTIME_VERSION/intel-ocloc-dbgsym_${COMPUTE_RUNTIME_VERSION_FULL}_amd64.ddeb \ | |
| && wget https://github.com/intel/compute-runtime/releases/download/$COMPUTE_RUNTIME_VERSION/intel-ocloc_${COMPUTE_RUNTIME_VERSION_FULL}_amd64.deb \ | |
| && wget https://github.com/intel/compute-runtime/releases/download/$COMPUTE_RUNTIME_VERSION/intel-opencl-icd-dbgsym_${COMPUTE_RUNTIME_VERSION_FULL}_amd64.ddeb \ | |
| && wget https://github.com/intel/compute-runtime/releases/download/$COMPUTE_RUNTIME_VERSION/intel-opencl-icd_${COMPUTE_RUNTIME_VERSION_FULL}_amd64.deb \ | |
| && wget https://github.com/intel/compute-runtime/releases/download/$COMPUTE_RUNTIME_VERSION/libigdgmm12_${IGDGMM_VERSION}_amd64.deb \ | |
| && wget https://github.com/intel/compute-runtime/releases/download/$COMPUTE_RUNTIME_VERSION/libze-intel-gpu1-dbgsym_${COMPUTE_RUNTIME_VERSION_FULL}_amd64.ddeb \ | |
| && wget https://github.com/intel/compute-runtime/releases/download/$COMPUTE_RUNTIME_VERSION/libze-intel-gpu1_${COMPUTE_RUNTIME_VERSION_FULL}_amd64.deb \ | |
| && dpkg --install *.deb | |
| RUN apt-get update \ | |
| && apt-get install -y libgomp1 curl ffmpeg \ | |
| && 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 | |
| ### Full | |
| FROM base AS full | |
| COPY --from=build /app/lib/ /app | |
| COPY --from=build /app/full /app | |
| WORKDIR /app | |
| RUN apt-get update && \ | |
| apt-get install -y \ | |
| git \ | |
| python3 \ | |
| python3-pip \ | |
| python3-venv && \ | |
| python3 -m venv /opt/venv && \ | |
| . /opt/venv/bin/activate && \ | |
| pip install --upgrade pip setuptools wheel && \ | |
| pip install -r requirements.txt && \ | |
| 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 | |
| ENV PATH="/opt/venv/bin:$PATH" | |
| ENTRYPOINT ["/app/tools.sh"] | |
| ### Light, CLI only | |
| FROM base AS light | |
| COPY --from=build /app/lib/ /app | |
| 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/lib/ /app | |
| 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" ] | |