GGUF
multilingual
speech-recognition
whisper.cpp
parakeet
vad
llama.cpp
qwen3
imatrix
conversational
Instructions to use mimaapp/sintesi-models 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 mimaapp/sintesi-models 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 mimaapp/sintesi-models:Q4_0 # Run inference directly in the terminal: llama cli -hf mimaapp/sintesi-models:Q4_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf mimaapp/sintesi-models:Q4_0 # Run inference directly in the terminal: llama cli -hf mimaapp/sintesi-models:Q4_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 mimaapp/sintesi-models:Q4_0 # Run inference directly in the terminal: ./build/bin/llama cli -hf mimaapp/sintesi-models:Q4_0
Use Docker
docker model run hf.co/mimaapp/sintesi-models:Q4_0
- Llama new
- LM Studio
- Jan
- Ollama
How to use mimaapp/sintesi-models with Ollama:
ollama run hf.co/mimaapp/sintesi-models:Q4_0
- Unsloth Desktop
- Pi
How to use mimaapp/sintesi-models with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf mimaapp/sintesi-models:Q4_0
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "mimaapp/sintesi-models:Q4_0" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use mimaapp/sintesi-models with Docker Model Runner:
docker model run hf.co/mimaapp/sintesi-models:Q4_0
- Lemonade
How to use mimaapp/sintesi-models with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull mimaapp/sintesi-models:Q4_0
Run and chat with the model
lemonade run user.sintesi-models-Q4_0
List all available models
lemonade list
- Hermes Agent
How to use mimaapp/sintesi-models with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf mimaapp/sintesi-models:Q4_0
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default mimaapp/sintesi-models:Q4_0
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use mimaapp/sintesi-models with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf mimaapp/sintesi-models:Q4_0
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "mimaapp/sintesi-models:Q4_0" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
File size: 2,353 Bytes
4d74909 834cf5c 4d74909 834cf5c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 | ---
license: other
license_name: multiple
license_link: LICENSE
language:
- multilingual
tags:
- speech-recognition
- whisper.cpp
- parakeet
- vad
- llama.cpp
- gguf
- qwen3
---
# Sintesi — on-device models
Mirror of the three model files downloaded by the **Sintesi** Android app
(`com.mimaapp.sintesi`) to transcribe and rewrite voice notes on the phone,
without sending recordings anywhere. The files are byte-identical copies of
the originals; they are hosted here only so the app does not depend on
someone else's repository.
Each file keeps its own license. There is no single license for the whole
repository.
| File | Original | License |
|---|---|---|
| `ggml-parakeet-tdt-0.6b-v3-q8_0.bin` | [ggml-org/parakeet-GGUF](https://huggingface.co/ggml-org/parakeet-GGUF), a q8_0 conversion of [nvidia/parakeet-tdt-0.6b-v3](https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3) | [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/) |
| `ggml-silero-v5.1.2.bin` | [ggml-org/whisper-vad](https://huggingface.co/ggml-org/whisper-vad), a conversion of [Silero VAD v5.1.2](https://github.com/snakers4/silero-vad) | [MIT](LICENSE-Silero-VAD-MIT.txt) |
| `Qwen3-4B-Instruct-2507-Q4_0.gguf` | [unsloth/Qwen3-4B-Instruct-2507-GGUF](https://huggingface.co/unsloth/Qwen3-4B-Instruct-2507-GGUF), a Q4_0 quantization of [Qwen/Qwen3-4B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507) | [Apache 2.0](LICENSE-Qwen3-Apache-2.0.txt) |
## Attribution
- **Parakeet TDT 0.6B v3** by NVIDIA, licensed under CC-BY-4.0. Changes:
converted and quantized (q8_0) to the ggml format by ggml-org; no further
changes.
- **Silero VAD** by Silero Team, licensed under MIT (copyright notice and
license text in `LICENSE-Silero-VAD-MIT.txt`). Converted to the ggml format
by ggml-org; no further changes.
- **Qwen3-4B-Instruct-2507** by the Qwen team, Alibaba Cloud, licensed under
Apache 2.0 (license text in `LICENSE-Qwen3-Apache-2.0.txt`). Changes:
quantized (Q4_0) to the GGUF format by Unsloth; no further changes.
## Checksums (SHA-256)
```
4d64e9e96c2792186d072fde0034df0ad670cf680a2f53069052ead827fd600e ggml-parakeet-tdt-0.6b-v3-q8_0.bin
29940d98d42b91fbd05ce489f3ecf7c72f0a42f027e4875919a28fb4c04ea2cf ggml-silero-v5.1.2.bin
e0ba675d86ab277c61701c6793659b2ae801d95e3be791464c321e6fbf613be2 Qwen3-4B-Instruct-2507-Q4_0.gguf
```
|