Systematic Transcribe Models
Welcome to the Systematic Transcribe Models page! Here you can find a curated list of suggested models to use with Systematic Transcribe. To install a model, use the "Magic Setup" link to open it in Systematic Transcribe, or copy and paste the direct download link in Systematic Transcribe settings.
Available Models
Tiny Model
A compact and efficient version, suitable for quick tasks and limited-resource environments.
Small Model
A small yet capable model for a balance of efficiency and performance.
Medium Model
Balances performance and resource usage, making it ideal for most general applications.
Large Model (v3)
For high accuracy and more computational resources, excels in complex scenarios.
Large v3 Turbo (Recommended)
Parakeet TDT 0.6B v3
Supports streaming and is best suited for dictation.
Nemotron 3.5 ASR Streaming 0.6B
Supports streaming and is best suited for dictation.
Enjoy exploring these models and enhancing your Systematic Transcribe!
Want More?
Find additional models here:
Prepare your own models
Convert transformers to GGML
# Setup environment
curl -LsSf https://astral.sh/uv/install.sh | sh
source ~/.bashrc
uv venv
uv pip install torch transformers huggingface_hub
huggingface-cli login --token "token" # https://huggingface.co/settings/tokens
# Convert and upload
git clone https://github.com/openai/whisper
git clone https://github.com/ggml-org/whisper.cpp
git clone https://huggingface.co/openai/whisper-large-v3-turbo
uv run ./whisper.cpp/models/convert-h5-to-ggml.py ./whisper-large-v3-turbo/ ./whisper .
uv run huggingface-cli upload --repo-type model whisper-large-v3-turbo-ggml ./ggml-model.bin ./ggml-model.bin
# Quantize
sudo apt install cmake build-essential -y
cd whisper.cpp
cmake -B build
cmake --build build --config Release
cd ..
./whisper.cpp/build/bin/quantize ggml-model.bin ./ggml-model.int8.bin q8_0 # fp32/fp16/q8_0/q5_0