ovos-gguf-plugin 1.2.1a1

local LLM plugin for OpenVoiceOS persona framework

ovos-gguf-plugin

Unified GGUF wrapper for OpenVoiceOS — chat, summarization, dialog rewriting, translation, language detection, and text embeddings, all backed by quantized GGUF models via llama-cpp-python.

Install

pip install ovos-gguf-plugin

For GPU inference, rebuild llama-cpp-python with CUDA support first:

CMAKE_ARGS="-DGGML_CUDA=on" FORCE_CMAKE=1 pip install llama-cpp-python --force-reinstall --no-cache-dir

Plugin entry points

Entry-point group	Plugin name	Class	Role
opm.agents.chat	ovos-chat-gguf-plugin	GGUFChatEngine	conversational chat / question answering
opm.agents.summarizer	ovos-summarizer-gguf-plugin	GGUFSummarizer	text summarization
opm.transformer.dialog	ovos-dialog-transformer-gguf-plugin	GGUFDialogTransformer	dialog rewriting
opm.lang.translate	ovos-translate-gguf-plugin	GGUFTextTranslator	machine translation
opm.lang.detect	ovos-lang-detect-gguf-plugin	GGUFTextLangDetector	language detection
opm.embeddings.text	ovos-gguf-embeddings-plugin	GGUFEmbeddings	text embeddings

Quickstart

Chat

from ovos_gguf_plugin.chat import GGUFChatEngine
from ovos_plugin_manager.templates.agents import AgentMessage, MessageRole

engine = GGUFChatEngine({
    "model": "afrideva/Smol-Llama-101M-Chat-v1-GGUF",
    "remote_filename": "*q2_k.gguf",
    "max_tokens": 128,
})
msgs = [AgentMessage(role=MessageRole.USER, content="Tell me a joke.")]
# stream sentence-by-sentence (suitable for TTS)
for sentence in engine.stream_sentences(msgs):
    print(sentence)
# or get the full response at once
reply = engine.continue_chat(msgs)
print(reply.content)

Summarizer

from ovos_gguf_plugin.summarizer import GGUFSummarizer

s = GGUFSummarizer({
    "model": "Qwen/Qwen2-0.5B-Instruct-GGUF",
    "remote_filename": "*q8_0.gguf",
})
print(s.summarize("Long document text goes here ... " * 20))

Dialog transformer

from ovos_gguf_plugin.dialog_transformers import GGUFDialogTransformer

dt = GGUFDialogTransformer({
    "model": "Qwen/Qwen2-0.5B-Instruct-GGUF",
    "remote_filename": "*q8_0.gguf",
})
print(dt.transform("gonna grab some food real quick"))

Translation

from ovos_gguf_plugin.translate import GGUFTextTranslator

tx = GGUFTextTranslator({
    "model": "TheBloke/TowerInstruct-7B-v0.1-GGUF",
    "remote_filename": "*Q4_K_M.gguf",
})
print(tx.translate("the easiest way to contribute is to help with translations",
                   target="es-es"))

Language detection

from ovos_gguf_plugin.translate import GGUFTextLangDetector

dt = GGUFTextLangDetector({
    "model": "Qwen/Qwen2-0.5B-Instruct-GGUF",
    "remote_filename": "*q8_0.gguf",
})
print(dt.detect("you can help without any programming knowledge"))  # → en

Text embeddings

from ovos_gguf_plugin.embeddings import GGUFEmbeddings

emb = GGUFEmbeddings({"model": "all-MiniLM-L6-v2"})
vector = emb.get_embeddings("hello world")
print(len(vector), "dims")

model accepts a friendly name from GGUFEmbeddings.DEFAULT_MODELS (e.g. labse, all-MiniLM-L6-v2, nomic-embed-text-v1.5, bge-large-en-v1.5), a bare Hugging Face repo id (with remote_filename), or a local .gguf path. Default is labse.

As an OVOS text-embeddings plugin it is selected by name (ovos-gguf-embeddings-plugin), so it is a drop-in for anything that previously used the standalone embeddings plugin.

Configuration

All wrappers share the same config keys:

Key	Default	Description
model	required	Local .gguf path, HuggingFace repo id, or friendly name (embeddings)
remote_filename	*Q4_K_M.gguf	Glob for selecting the file from a HF repo
n_gpu_layers	0	GPU layers to offload (-1 = all)
chat_format	None	llama.cpp chat format (auto-detected for most models)
verbose	True	llama.cpp verbosity
max_tokens	512	Maximum tokens to generate
system_prompt	locale default	Override the system prompt

See docs/configuration.md for the full reference including per-wrapper options and GPU build instructions.

Localized prompts

System prompts and templates ship as .prompt resource files under ovos_gguf_plugin/locale/<lang>/ and are loaded via ovos-spec-tools (OVOS-INTENT-2 §4.4). Drop translated .prompt files under a new locale/<lang>/ to add a language; English en-us ships by default and is the fallback. A system_prompt in config overrides the locale file.

See docs/localization.md for the full guide.

OVOS Persona Framework

{
  "name": "MyAssistant",
  "solvers": ["ovos-solver-gguf-plugin"],
  "ovos-solver-gguf-plugin": {
    "model": "TheBloke/notus-7B-v1-GGUF",
    "remote_filename": "*Q4_K_M.gguf",
    "persona": "You are a helpful assistant.",
    "verbose": false
  }
}

ovos-persona-server --persona my_persona.json

Documentation

• docs/configuration.md — full config reference, GPU build, per-wrapper notes
• docs/localization.md — .prompt system, adding a language
• docs/models.md — recommended models per wrapper (including tiny CI-friendly ones)

Examples

Runnable scripts under examples/:

• chat_example.py
• embeddings_example.py
• translate_example.py
• lang_detect_example.py
• summarize_example.py

Testing

pip install "ovos-gguf-plugin[test]"
python -m pytest test/ -v

The test suite contains:

• test/test_embeddings.py — hermetic unit tests (mocked llama.cpp, no downloads)
• test/test_prompts.py — hermetic unit tests for localized prompt loading
• test/test_e2e.py — real-model end-to-end tests (downloads tiny GGUFs once, ~70 MB total):
  • chat: afrideva/Smol-Llama-101M-Chat-v1-GGUF q2_k (~45 MB)
  • embeddings: leliuga/all-MiniLM-L6-v2-GGUF Q4_K_M (~23 MB)

Credits

Originally developed by TigreGótico for OpenVoiceOS, sponsored by VisioLab. Modernized under the NGI0 Commons Fund / NLnet.

This work was sponsored by VisioLab, part of Royal Dutch Visio, is the test, education, and research center in the field of (innovative) assistive technology for blind and visually impaired people and professionals. We explore (new) technological developments such as Voice, VR and AI and make the knowledge and expertise we gain available to everyone.

This project was funded through the NGI0 Commons Fund, a fund established by NLnet with financial support from the European Commission's Next Generation Internet programme, under the aegis of DG Communications Networks, Content and Technology under grant agreement No 101135429.