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
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 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/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 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
- 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"
|
Download README.md from mimaapp/sintesi-models: direct link, hf CLI and curl.
- Browser
- Download file 2.35 kB
-
https://huggingface.co/mimaapp/sintesi-models/resolve/main/README.md
- Command line
-
hf download hf://mimaapp/sintesi-models/README.md
-
curl -L -o README.md https://huggingface.co/mimaapp/sintesi-models/resolve/main/README.md
2.35 kB
| 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 | |
| ``` | |