Text-to-Speech
ONNX
Safetensors
GGUF
Twi
qwen3
tts
twi
akan
ghanaian-language
vieneu-tts
lora
fine-tuned
Instructions to use michsethowusu/Akiti-TTS 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 michsethowusu/Akiti-TTS 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 michsethowusu/Akiti-TTS:Q4_K_M # Run inference directly in the terminal: llama cli -hf michsethowusu/Akiti-TTS:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf michsethowusu/Akiti-TTS:Q4_K_M # Run inference directly in the terminal: llama cli -hf michsethowusu/Akiti-TTS:Q4_K_M
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 michsethowusu/Akiti-TTS:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf michsethowusu/Akiti-TTS:Q4_K_M
Use Docker
docker model run hf.co/michsethowusu/Akiti-TTS:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use michsethowusu/Akiti-TTS with Ollama:
ollama run hf.co/michsethowusu/Akiti-TTS:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use michsethowusu/Akiti-TTS with Docker Model Runner:
docker model run hf.co/michsethowusu/Akiti-TTS:Q4_K_M
- Lemonade
How to use michsethowusu/Akiti-TTS with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull michsethowusu/Akiti-TTS:Q4_K_M
Run and chat with the model
lemonade run user.Akiti-TTS-Q4_K_M
List all available models
lemonade list
- Atomic Chat
usage stats
Browse files
usage/1780483799_98328427.json
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{
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"model": "q4",
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"os": "Linux",
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"cpu": "TEST CPU",
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"arch": "x86_64",
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"threads": 6,
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"script_version": "1.0.0",
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"rtf": 4.2,
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"audio_seconds": 1.9,
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"gen_seconds": 8.0,
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"server_ts": 1780483799
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}
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