How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf rkstgr/typer-1.5b-instruct-gguf:Q8_0# Run inference directly in the terminal:
llama cli -hf rkstgr/typer-1.5b-instruct-gguf:Q8_0Use 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 rkstgr/typer-1.5b-instruct-gguf:Q8_0# Run inference directly in the terminal:
./llama-cli -hf rkstgr/typer-1.5b-instruct-gguf:Q8_0Build 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 rkstgr/typer-1.5b-instruct-gguf:Q8_0# Run inference directly in the terminal:
./build/bin/llama-cli -hf rkstgr/typer-1.5b-instruct-gguf:Q8_0Use Docker
docker model run hf.co/rkstgr/typer-1.5b-instruct-gguf:Q8_0Quick Links
Typer: LLM for Typst
This repository contains GGUF quantized versions of typer-1.5b-instruct.
Usage with Ollama
ollama run rkstgr/typer-1.5b-instruct
Model Details
- Training: Fine-tuned using Unsloth and LoRa
Acknowledgements
Computational resources were provided by the German AI Service Center WestAI.
- Downloads last month
- 10
Hardware compatibility
Log In to add your hardware
8-bit
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for rkstgr/typer-1.5b-instruct-gguf
Base model
Qwen/Qwen2.5-1.5B Finetuned
Qwen/Qwen2.5-Coder-1.5B Quantized
rkstgr/typer-1.5b-base-gguf
Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf rkstgr/typer-1.5b-instruct-gguf:Q8_0# Run inference directly in the terminal: llama cli -hf rkstgr/typer-1.5b-instruct-gguf:Q8_0