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 UBUNTU_VERSION=24.04 | |
| # This needs to generally match the container host's environment. | |
| ARG ROCM_VERSION=7.2.1 | |
| ARG AMDGPU_VERSION=7.2.1 | |
| # Target the ROCm build image | |
| ARG BASE_ROCM_DEV_CONTAINER=docker.io/rocm/dev-ubuntu-${UBUNTU_VERSION}:${ROCM_VERSION}-complete | |
| 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 ${BASE_ROCM_DEV_CONTAINER} AS build | |
| # Unless otherwise specified, we make a fat build. | |
| # This is mostly tied to rocBLAS supported archs. | |
| # check https://rocm.docs.amd.com/projects/install-on-linux/en/docs-7.2.1/reference/system-requirements.html | |
| # check https://rocm.docs.amd.com/projects/radeon-ryzen/en/latest/docs/compatibility/compatibilityrad/native_linux/native_linux_compatibility.html | |
| # check https://rocm.docs.amd.com/projects/radeon-ryzen/en/latest/docs/compatibility/compatibilityryz/native_linux/native_linux_compatibility.html | |
| ARG ROCM_DOCKER_ARCH='gfx908;gfx90a;gfx942;gfx1030;gfx1100;gfx1101;gfx1102;gfx1151;gfx1150;gfx1200;gfx1201' | |
| # Set ROCm architectures | |
| ENV AMDGPU_TARGETS=${ROCM_DOCKER_ARCH} | |
| RUN apt-get update \ | |
| && apt-get install -y \ | |
| build-essential \ | |
| cmake \ | |
| git \ | |
| libssl-dev \ | |
| curl \ | |
| libgomp1 | |
| WORKDIR /app | |
| COPY . . | |
| COPY --from=web /app/tools/ui/dist tools/ui/dist | |
| RUN HIPCXX="$(hipconfig -l)/clang" HIP_PATH="$(hipconfig -R)" \ | |
| cmake -S . -B build \ | |
| -DGGML_HIP=ON \ | |
| -DGGML_HIP_ROCWMMA_FATTN=ON \ | |
| -DAMDGPU_TARGETS="$ROCM_DOCKER_ARCH" \ | |
| -DGGML_BACKEND_DL=ON -DGGML_CPU_ALL_VARIANTS=ON \ | |
| -DCMAKE_BUILD_TYPE=Release -DLLAMA_BUILD_TESTS=OFF \ | |
| && cmake --build build --config Release -j$(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 | |
| ## Base image | |
| FROM ${BASE_ROCM_DEV_CONTAINER} AS base | |
| ARG BUILD_DATE=N/A | |
| ARG APP_VERSION=N/A | |
| ARG APP_REVISION=N/A | |
| ARG IMAGE_URL=https://github.com/ggml-org/llama.cpp | |
| ARG IMAGE_SOURCE=https://github.com/ggml-org/llama.cpp | |
| LABEL org.opencontainers.image.created=$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 | |
| 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 | |
| COPY --from=build /app/lib/ /app | |
| ### Full | |
| FROM base AS full | |
| COPY --from=build /app/full /app | |
| WORKDIR /app | |
| RUN apt-get update \ | |
| && apt-get install -y \ | |
| git \ | |
| python3-pip \ | |
| python3 \ | |
| python3-wheel \ | |
| && pip install --break-system-packages --upgrade setuptools \ | |
| && pip install --break-system-packages -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 | |
| 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" ] | |