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: UI Publish | |
| on: | |
| workflow_call: | |
| inputs: | |
| version_tag: | |
| description: 'Version tag to publish under (e.g., b1234)' | |
| required: true | |
| type: string | |
| secrets: | |
| hf_token: | |
| description: 'Hugging Face token with write access' | |
| required: true | |
| jobs: | |
| build: | |
| name: Build static output | |
| uses: ./.github/workflows/ui-build.yml | |
| publish: | |
| name: Publish UI Static Output | |
| needs: build | |
| runs-on: ubuntu-slim | |
| permissions: | |
| contents: read | |
| env: | |
| HF_BUCKET_NAME: ${{ vars.HF_BUCKET_UI_STATIC_OUTPUT }} | |
| steps: | |
| - name: Checkout code | |
| uses: actions/checkout@v6 | |
| with: | |
| fetch-depth: 1 | |
| - name: Download UI build artifact | |
| uses: actions/download-artifact@v7 | |
| with: | |
| name: ui-build | |
| path: tools/ui/dist/ | |
| - name: Create distribution archive | |
| run: | | |
| tar -czf dist.tar.gz -C tools/ui/dist . | |
| sha256sum dist.tar.gz > dist.tar.gz.sha256 | |
| mv dist.tar.gz dist.tar.gz.sha256 tools/ui/dist/ | |
| - name: Install Hugging Face Hub CLI | |
| run: pip install -U huggingface_hub | |
| - name: Authenticate with Hugging Face | |
| run: hf auth login --token ${{ secrets.hf_token }} | |
| - name: Sync built files to Hugging Face bucket (version tag) | |
| run: | | |
| # Upload the built files to the Hugging Face bucket under the release version | |
| hf buckets sync tools/ui/dist hf://buckets/ggml-org/${{ env.HF_BUCKET_NAME }}/${{ inputs.version_tag }} --delete --quiet | |
| - name: Sync built files to Hugging Face bucket (latest) | |
| run: | | |
| # Also upload to the 'latest' directory for fallback downloads | |
| hf buckets sync tools/ui/dist hf://buckets/ggml-org/${{ env.HF_BUCKET_NAME }}/latest --delete --quiet | |
| - name: Verify upload | |
| run: | | |
| # List the files in the bucket to verify the upload | |
| hf buckets list hf://buckets/ggml-org/${{ env.HF_BUCKET_NAME }}/${{ inputs.version_tag }} -R -h | |
| - name: Clean up root-level files | |
| run: | | |
| # Clean up any old root-level files from previous non-versioned deployments | |
| hf buckets rm ggml-org/${{ env.HF_BUCKET_NAME }}/index.html --yes 2>/dev/null || true | |
| hf buckets rm ggml-org/${{ env.HF_BUCKET_NAME }}/bundle.js --yes 2>/dev/null || true | |
| hf buckets rm ggml-org/${{ env.HF_BUCKET_NAME }}/bundle.css --yes 2>/dev/null || true | |
| hf buckets rm ggml-org/${{ env.HF_BUCKET_NAME }}/loading.html --yes 2>/dev/null || true | |