Instructions to use Serveurperso/OmniVoice-GGUF 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 Serveurperso/OmniVoice-GGUF 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 Serveurperso/OmniVoice-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf Serveurperso/OmniVoice-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Serveurperso/OmniVoice-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf Serveurperso/OmniVoice-GGUF:Q4_K_M
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 Serveurperso/OmniVoice-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Serveurperso/OmniVoice-GGUF:Q4_K_M
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 Serveurperso/OmniVoice-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Serveurperso/OmniVoice-GGUF:Q4_K_M
Use Docker
docker model run hf.co/Serveurperso/OmniVoice-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use Serveurperso/OmniVoice-GGUF with Ollama:
ollama run hf.co/Serveurperso/OmniVoice-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use Serveurperso/OmniVoice-GGUF with Docker Model Runner:
docker model run hf.co/Serveurperso/OmniVoice-GGUF:Q4_K_M
- Lemonade
How to use Serveurperso/OmniVoice-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Serveurperso/OmniVoice-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.OmniVoice-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Commit History
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license: weights are CC-BY-NC, not Apache 2.0
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Upload README.md
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Upload README.md
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Upload README.md
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GGUF policy fix: redownload tokenizer weights
Verified signatureThe tokenizer GGUFs were generated with an older policy that quantized RVQ codebooks and fc / fc2 / project_in / project_out linears. RVQ nearest-neighbor lookup is sensitive to per-row quantization noise, even BF16 mantissa drifts codes and degrades voice cloning. New policy keeps these tensors at F32 in every variant. Conv kernels with non-alignable rows now fall back to F16 instead of F32 in Q* variants, restoring BF16 > Q8_0 > Q4_K_M precision order. Snake activation alphas are stored at F32 (per-channel activation parameters, not weights).a78ea8c
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OmniVoice by Xiaomi / k2-fsa, Audio codec : Higgs Audio v2 (bosonai/higgs-audio-v2-tokenizer)
Verified signaturehttps://github.com/ServeurpersoCom/omnivoice.cpp1b69123
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initial commit
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