Instructions to use Babsie/TaxDocumentBeigePaint-Q6_K-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Babsie/TaxDocumentBeigePaint-Q6_K-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Babsie/TaxDocumentBeigePaint-Q6_K-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Babsie/TaxDocumentBeigePaint-Q6_K-GGUF 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 Babsie/TaxDocumentBeigePaint-Q6_K-GGUF:Q6_K # Run inference directly in the terminal: llama cli -hf Babsie/TaxDocumentBeigePaint-Q6_K-GGUF:Q6_K
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Babsie/TaxDocumentBeigePaint-Q6_K-GGUF:Q6_K # Run inference directly in the terminal: llama cli -hf Babsie/TaxDocumentBeigePaint-Q6_K-GGUF:Q6_K
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 Babsie/TaxDocumentBeigePaint-Q6_K-GGUF:Q6_K # Run inference directly in the terminal: ./llama-cli -hf Babsie/TaxDocumentBeigePaint-Q6_K-GGUF:Q6_K
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 Babsie/TaxDocumentBeigePaint-Q6_K-GGUF:Q6_K # Run inference directly in the terminal: ./build/bin/llama-cli -hf Babsie/TaxDocumentBeigePaint-Q6_K-GGUF:Q6_K
Use Docker
docker model run hf.co/Babsie/TaxDocumentBeigePaint-Q6_K-GGUF:Q6_K
- LM Studio
- Jan
- Ollama
How to use Babsie/TaxDocumentBeigePaint-Q6_K-GGUF with Ollama:
ollama run hf.co/Babsie/TaxDocumentBeigePaint-Q6_K-GGUF:Q6_K
- Unsloth Desktop
- Docker Model Runner
How to use Babsie/TaxDocumentBeigePaint-Q6_K-GGUF with Docker Model Runner:
docker model run hf.co/Babsie/TaxDocumentBeigePaint-Q6_K-GGUF:Q6_K
- Lemonade
How to use Babsie/TaxDocumentBeigePaint-Q6_K-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Babsie/TaxDocumentBeigePaint-Q6_K-GGUF:Q6_K
Run and chat with the model
lemonade run user.TaxDocumentBeigePaint-Q6_K-GGUF-Q6_K
List all available models
lemonade list
- Atomic Chat
Update README.md
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README.md
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# Babsie/TaxDocumentBeigePaint-Q6_K-GGUF
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This model was converted to GGUF format from [`Babsie/TaxDocumentBeigePaint`](https://huggingface.co/Babsie/TaxDocumentBeigePaint) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/Babsie/TaxDocumentBeigePaint) for more details on the model.
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# Babsie/TaxDocumentBeigePaint-Q6_K-GGUF
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This model was converted to GGUF format from [`Babsie/TaxDocumentBeigePaint`](https://huggingface.co/Babsie/TaxDocumentBeigePaint) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/Babsie/TaxDocumentBeigePaint) for more details on the model.
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