Instructions to use VladHong/llama-cpp-K2-FAST2 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 VladHong/llama-cpp-K2-FAST2 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 VladHong/llama-cpp-K2-FAST2 # Run inference directly in the terminal: llama cli -hf VladHong/llama-cpp-K2-FAST2
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf VladHong/llama-cpp-K2-FAST2 # Run inference directly in the terminal: llama cli -hf VladHong/llama-cpp-K2-FAST2
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 VladHong/llama-cpp-K2-FAST2 # Run inference directly in the terminal: ./build/bin/llama cli -hf VladHong/llama-cpp-K2-FAST2
Use Docker
docker model run hf.co/VladHong/llama-cpp-K2-FAST2
- Llama new
- LM Studio
- Jan
- Ollama
How to use VladHong/llama-cpp-K2-FAST2 with Ollama:
ollama run hf.co/VladHong/llama-cpp-K2-FAST2
- Unsloth Desktop
- Docker Model Runner
How to use VladHong/llama-cpp-K2-FAST2 with Docker Model Runner:
docker model run hf.co/VladHong/llama-cpp-K2-FAST2
- Lemonade
How to use VladHong/llama-cpp-K2-FAST2 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull VladHong/llama-cpp-K2-FAST2
Run and chat with the model
lemonade run user.llama-cpp-K2-FAST2-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
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Download tools/tts/README.md from VladHong/llama-cpp-K2-FAST2: direct link, hf CLI and curl.
- Browser
- Download file 2 kB
-
https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/tts/README.md
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/tools/tts/README.md
-
curl -L -o README.md https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/tts/README.md
2 kB
| # llama.cpp TTS | |
| This is a tool to demonstrate audio generation capability in llama.cpp via `libmtmd`. It was added via PR [#26254](https://github.com/ggml-org/llama.cpp/pull/26254) | |
| Note: this tool used to serve as a demo for OuteTTS, but it was converted to a more model-agnostic tool. | |
| ## Common usage | |
| Simple usage: | |
| ```sh | |
| llama-tts -hf ggml-org/Qwen3-TTS-12Hz-1.7B-Base-GGUF -p "Hello world" --output out.wav | |
| ``` | |
| Common params: | |
| - Sampling params such as `--top-k`, `--top-p`, `--temp`, etc. | |
| - `-n <number_of_frames>` limits the output length, e.g. `-n 500`. Note that how many milliseconds each frame represents varies by model | |
| - Core inference params such as `-ngl`, `-b`, `-ub`, etc. | |
| ## Qwen3-TTS | |
| Available params: | |
| - `--tts-lang` can be `zh`, `en`, `de`, `it`, `pt`, `es`, `ja`, `ko`, `fr`, `ru` (default: `en`) | |
| - `--tts-speaker-file` should point to a speaker reference audio file (wav, mp3) | |
| Example usage: | |
| ```sh | |
| llama-tts -hf ggml-org/Qwen3-TTS-12Hz-1.7B-Base-GGUF \ | |
| -p "Hello world" \ | |
| --tts-lang english \ | |
| --tts-speaker-file speaker.mp3 \ | |
| --output out.wav | |
| ``` | |
| ## Pocket TTS | |
| Available params: | |
| - `--tts-speaker-file` should point to a speaker reference audio file (wav, mp3). It is required, the model produces almost no audio without it | |
| - Note: `lang` is not used, the language is a property of the weights | |
| Example usage: | |
| ```sh | |
| llama-tts -m pocket-tts.gguf \ | |
| -mm mmproj-pocket-tts.gguf \ | |
| -p "Hello world" \ | |
| --tts-speaker-file speaker.mp3 \ | |
| --output out.wav | |
| ``` | |
| **Note for GGUF conversion:** | |
| The [upstream repository](https://huggingface.co/kyutai/pocket-tts) holds one complete model per language under `languages/`, next to a set of shared files at the root. Convert one of the `languages/<name>` directories, **not** the root directory: | |
| ```sh | |
| python convert_hf_to_gguf.py path/to/pocket-tts/languages/english --outfile pocket-tts.gguf | |
| python convert_hf_to_gguf.py path/to/pocket-tts/languages/english --mmproj --outfile mmproj-pocket-tts.gguf | |
| ``` | |