Instructions to use tda45/TdAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

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

TdAI / llama.cpp /.devops /llama-cli-cann.Dockerfile

tda45

Upload folder using huggingface_hub

76513ec verified 10 days ago

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	ARG ASCEND_VERSION=8.5.0-910b-openeuler22.03-py3.10
	ARG BUILD_DATE=N/A
	ARG APP_VERSION=N/A
	ARG APP_REVISION=N/A

	FROM docker.io/ascendai/cann:$ASCEND_VERSION AS build

	WORKDIR /app

	COPY . .

	RUN yum install -y gcc g++ cmake make openssl-devel
	ENV ASCEND_TOOLKIT_HOME=/usr/local/Ascend/ascend-toolkit/latest
	ENV LIBRARY_PATH=${ASCEND_TOOLKIT_HOME}/lib64:$LIBRARY_PATH
	ENV LD_LIBRARY_PATH=${ASCEND_TOOLKIT_HOME}/lib64:${ASCEND_TOOLKIT_HOME}/lib64/plugin/opskernel:${ASCEND_TOOLKIT_HOME}/lib64/plugin/nnengine:${ASCEND_TOOLKIT_HOME}/opp/built-in/op_impl/ai_core/tbe/op_tiling:${LD_LIBRARY_PATH}
	ENV PYTHONPATH=${ASCEND_TOOLKIT_HOME}/python/site-packages:${ASCEND_TOOLKIT_HOME}/opp/built-in/op_impl/ai_core/tbe:${PYTHONPATH}
	ENV PATH=${ASCEND_TOOLKIT_HOME}/bin:${ASCEND_TOOLKIT_HOME}/compiler/ccec_compiler/bin:${PATH}
	ENV ASCEND_AICPU_PATH=${ASCEND_TOOLKIT_HOME}
	ENV ASCEND_OPP_PATH=${ASCEND_TOOLKIT_HOME}/opp
	ENV TOOLCHAIN_HOME=${ASCEND_TOOLKIT_HOME}/toolkit
	ENV ASCEND_HOME_PATH=${ASCEND_TOOLKIT_HOME}

	# find libascend_hal.so, because the drive hasn`t been mounted.
	ENV LD_LIBRARY_PATH=${ASCEND_TOOLKIT_HOME}/runtime/lib64/stub:$LD_LIBRARY_PATH

	RUN echo "Building with static libs" && \
	source /usr/local/Ascend/ascend-toolkit/set_env.sh --force && \
	cmake -B build -DGGML_NATIVE=OFF -DGGML_CANN=ON -DBUILD_SHARED_LIBS=OFF -DLLAMA_BUILD_TESTS=OFF && \
	cmake --build build --config Release --target llama-cli && \
	cmake --build build --config Release --target llama-completion

	# TODO: use image with NNRT
	FROM docker.io/ascendai/cann:$ASCEND_VERSION AS runtime

	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

	COPY --from=build /app/build/bin/llama-cli /app/build/bin/llama-completion /

	ENV LC_ALL=C.utf8

	ENV ASCEND_TOOLKIT_HOME=/usr/local/Ascend/ascend-toolkit/latest
	ENV LIBRARY_PATH=${ASCEND_TOOLKIT_HOME}/lib64:$LIBRARY_PATH
	ENV LD_LIBRARY_PATH=${ASCEND_TOOLKIT_HOME}/lib64:${ASCEND_TOOLKIT_HOME}/lib64/plugin/opskernel:${ASCEND_TOOLKIT_HOME}/lib64/plugin/nnengine:${ASCEND_TOOLKIT_HOME}/opp/built-in/op_impl/ai_core/tbe/op_tiling:${LD_LIBRARY_PATH}
	ENV PYTHONPATH=${ASCEND_TOOLKIT_HOME}/python/site-packages:${ASCEND_TOOLKIT_HOME}/opp/built-in/op_impl/ai_core/tbe:${PYTHONPATH}
	ENV PATH=${ASCEND_TOOLKIT_HOME}/bin:${ASCEND_TOOLKIT_HOME}/compiler/ccec_compiler/bin:${PATH}
	ENV ASCEND_AICPU_PATH=${ASCEND_TOOLKIT_HOME}
	ENV ASCEND_OPP_PATH=${ASCEND_TOOLKIT_HOME}/opp
	ENV TOOLCHAIN_HOME=${ASCEND_TOOLKIT_HOME}/toolkit
	ENV ASCEND_HOME_PATH=${ASCEND_TOOLKIT_HOME}

	ENTRYPOINT ["/llama-cli" ]