Instructions to use davidpu/wa-autocomplete-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use davidpu/wa-autocomplete-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 davidpu/wa-autocomplete-gguf:Q8_0 # Run inference directly in the terminal: llama cli -hf davidpu/wa-autocomplete-gguf:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf davidpu/wa-autocomplete-gguf:Q8_0 # Run inference directly in the terminal: llama cli -hf davidpu/wa-autocomplete-gguf:Q8_0
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf davidpu/wa-autocomplete-gguf:Q8_0 # Run inference directly in the terminal: ./build/bin/llama cli -hf davidpu/wa-autocomplete-gguf:Q8_0
Use Docker
docker model run hf.co/davidpu/wa-autocomplete-gguf:Q8_0
- Llama new
- LM Studio
- Jan
- Ollama
How to use davidpu/wa-autocomplete-gguf with Ollama:
ollama run hf.co/davidpu/wa-autocomplete-gguf:Q8_0
- Unsloth Desktop
- Docker Model Runner
How to use davidpu/wa-autocomplete-gguf with Docker Model Runner:
docker model run hf.co/davidpu/wa-autocomplete-gguf:Q8_0
- Lemonade
How to use davidpu/wa-autocomplete-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull davidpu/wa-autocomplete-gguf:Q8_0
Run and chat with the model
lemonade run user.wa-autocomplete-gguf-Q8_0
List all available models
lemonade list
- Atomic Chat
wa-autocomplete-gguf
GGUF (Q8_0) of dicta-il/DictaLM-3.0-1.7B-Base by Dicta (Apache-2.0), used by wa-work's local composer autocomplete.
- File:
dictalm-3.0-1.7b-base-q8_0.gguf(1,834,421,696 bytes) - Converted with llama.cpp b12186
convert_hf_to_gguf.py --outtype q8_0from snapshotb0bdc0d1b236f60ea99a2b844745d2b3d199ad66. - Unmodified weights; no fine-tuning.
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Hardware compatibility
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Base model
dicta-il/DictaLM-3.0-1.7B-Base