# OpenBMB/MiniCPM-o

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23,850 stars · 1,836 forks · Python · apache-2.0

## Links

- GitHub: https://github.com/OpenBMB/MiniCPM-o
- awesome-repositories: https://awesome-repositories.com/repository/openbmb-minicpm-o.md

## Topics

`minicpm` `minicpm-v` `multi-modal`

## Description

MiniCPM-o is a multimodal large language model designed to function as a real-time conversational assistant on edge devices. By mapping text, image, video, and audio inputs into a unified latent space, the system enables simultaneous cross-modal reasoning and full-duplex interaction. It is built as an edge-side inference engine, utilizing quantized model weights to maintain high-performance processing on consumer hardware.

The system distinguishes itself through its integrated speech synthesis and voice cloning capabilities, which allow for the generation of expressive, personalized vocal output from short audio samples without additional training. Users can modulate the emotional tone, speed, and emphasis of synthesized speech in real time using latent prosody control tokens. Furthermore, the model supports the adoption of specific personas and roles, facilitating immersive, situation-aware dialogue.

Beyond its core conversational features, the framework provides tools for proactive visual assistance, such as monitoring environments to trigger navigation or scheduling alerts. The architecture is configurable, allowing for adjustments to visual token compression and frame sampling rates to balance accuracy and speed. The project supports fine-tuning for specialized domains, enabling developers to adapt the model to custom tasks using standard training frameworks.

## Tags

### Artificial Intelligence & ML

- [Multimodal Large Language Models](https://awesome-repositories.com/f/artificial-intelligence-ml/multimodal-large-language-models.md) — Processes real-time audio, video, and text streams using a unified vision-language model architecture.
- [Agentic Assistants](https://awesome-repositories.com/f/artificial-intelligence-ml/agentic-assistants.md) — Acts as a conversational agent that maintains situational awareness through continuous visual and auditory input.
- [Edge Inference Engines](https://awesome-repositories.com/f/artificial-intelligence-ml/edge-inference-engines.md) — Provides a high-performance inference engine designed for executing quantized models on resource-constrained hardware.
- [Edge and Mobile](https://awesome-repositories.com/f/artificial-intelligence-ml/model-optimization/inference-deployment/edge-and-mobile.md) — Optimizes model performance on edge devices through weight quantization and compression.
- [On-Device Inference Engines](https://awesome-repositories.com/f/artificial-intelligence-ml/on-device-inference-engines.md) — Executes optimized and quantized machine learning models locally on edge hardware for low-latency performance. ([source](https://github.com/OpenBMB/MiniCPM-o#readme))
- [Real-Time Voice Cloning](https://awesome-repositories.com/f/artificial-intelligence-ml/generative-ai-resources/speech-synthesis/real-time-voice-cloning.md) — Enables real-time voice cloning by extracting vocal identity from short audio samples without additional training.
- [Edge AI Model Deployment](https://awesome-repositories.com/f/artificial-intelligence-ml/machine-learning/infrastructure/model-deployment-and-serving/local-and-on-device-inference/edge-ai-model-deployment.md) — Optimizes and deploys complex machine learning models for efficient execution on consumer edge hardware.
- [Full-Duplex Multimodal Interaction](https://awesome-repositories.com/f/artificial-intelligence-ml/multimodal-processing/full-duplex-multimodal-interaction.md) — Enables fluid, full-duplex interaction by processing simultaneous visual, auditory, and speech streams. ([source](https://openbmb.github.io/minicpm-o-4_5-omni/))
- [Voice Cloning Engines](https://awesome-repositories.com/f/artificial-intelligence-ml/speech-synthesis-models/voice-cloning-engines.md) — Generates expressive, personalized vocal output from reference audio samples without requiring model retraining.
- [Voice Cloning](https://awesome-repositories.com/f/artificial-intelligence-ml/voice-cloning.md) — Captures unique vocal characteristics from audio samples to generate personalized voice output. ([source](https://openbmb.github.io/minicpm-o-4_5/))
- [Cross-Modal Representations](https://awesome-repositories.com/f/artificial-intelligence-ml/cross-modal-representations.md) — Maps disparate text, image, and audio inputs into a shared vector representation for cross-modal interaction.
- [Zero-Shot Voice Cloning](https://awesome-repositories.com/f/artificial-intelligence-ml/generative-ai-resources/speech-synthesis/zero-shot-voice-cloning.md) — Enables the replication of specific vocal identities from short audio samples without requiring model retraining. ([source](https://github.com/OpenBMB/MiniCPM-o#readme))
- [Model Fine-Tuning](https://awesome-repositories.com/f/artificial-intelligence-ml/machine-learning/infrastructure/model-training-and-tuning/fine-tuning-and-customization/model-fine-tuning.md) — Supports fine-tuning of pre-trained models for specialized domains using standard training frameworks. ([source](https://github.com/OpenBMB/MiniCPM-o#readme))
- [Multimodal Token Interleaving](https://awesome-repositories.com/f/artificial-intelligence-ml/multimodal-models/multimodal-token-interleaving.md) — Maps text, image, and audio inputs into a unified latent space to enable simultaneous cross-modal reasoning.
- [Proactive Visual Assistance](https://awesome-repositories.com/f/artificial-intelligence-ml/proactive-visual-assistance.md) — Monitors visual environments to provide proactive alerts and navigation support for users.
- [Agent Persona Frameworks](https://awesome-repositories.com/f/artificial-intelligence-ml/agent-persona-frameworks.md) — Simulates specific characters or professional roles by adopting unique speech patterns and personality traits. ([source](https://openbmb.github.io/minicpm-o-4_5/))
- [Speech Synthesis](https://awesome-repositories.com/f/artificial-intelligence-ml/generative-ai-resources/speech-synthesis.md) — Generates natural-sounding, expressive speech with customizable emotional tone and vocal emphasis.
- [Prosody Control Tokens](https://awesome-repositories.com/f/artificial-intelligence-ml/latent-conditioning-mechanisms/prosody-control-tokens.md) — Injects control tokens into the generation pipeline to modulate emotional tone and speech prosody in real time.
- [Multimodal Processing](https://awesome-repositories.com/f/artificial-intelligence-ml/multimodal-processing.md) — Processes text, image, video, and audio streams simultaneously for real-time multimodal interaction. ([source](https://github.com/OpenBMB/MiniCPM-o#readme))
- [Agent Persona Definitions](https://awesome-repositories.com/f/artificial-intelligence-ml/agentic-systems-frameworks/integration-deployment/agent-frameworks/configuration-and-specifications/agent-persona-definitions.md) — Supports the adoption of specific personas and roles to facilitate immersive, situation-aware dialogue.
- [Voice Conditioning Encoders](https://awesome-repositories.com/f/artificial-intelligence-ml/diffusion-conditioning-architectures/voice-conditioning-encoders.md) — Uses lightweight encoders to condition speech synthesis on reference audio samples.
- [Latent Conditioning Mechanisms](https://awesome-repositories.com/f/artificial-intelligence-ml/latent-conditioning-mechanisms.md) — Employs latent conditioning mechanisms to adjust emotional expression and speech delivery in real time.
- [Prosody Controls](https://awesome-repositories.com/f/artificial-intelligence-ml/text-to-speech/prosody-controls.md) — Provides real-time control over speech delivery speed and emotional prosody during synthesis. ([source](https://openbmb.github.io/minicpm-o-4_5/))
- [Speech Emphasis Controls](https://awesome-repositories.com/f/artificial-intelligence-ml/text-to-speech/speech-emphasis-controls.md) — Allows users to control speech emphasis to change meaning and intent through vocal stress. ([source](https://openbmb.github.io/minicpm-o-4_5/))
- [Model Parameter Configurations](https://awesome-repositories.com/f/artificial-intelligence-ml/model-parameter-configurations.md) — Provides configurable parameters for visual token compression and system profiles to balance performance. ([source](https://github.com/OpenBMB/MiniCPM-o#readme))
- [Voice Personalization](https://awesome-repositories.com/f/artificial-intelligence-ml/voice-assistants/voice-personalization.md) — Allows users to select and apply distinct vocal timbres for a customized auditory experience. ([source](https://openbmb.github.io/minicpm-o-4_5-omni/))

### Graphics & Multimedia

- [Full-Duplex Conversational Streams](https://awesome-repositories.com/f/graphics-multimedia/streaming-distribution/streaming-broadcasting/media-streaming/video-streaming/full-duplex-conversational-streams.md) — Supports full-duplex conversational streams by handling continuous audio-visual input and concurrent output generation. ([source](https://github.com/OpenBMB/MiniCPM-o#readme))
- [Audio Emotion Classifiers](https://awesome-repositories.com/f/graphics-multimedia/audio-music/audio-processing/audio-emotion-classifiers.md) — Modulates the tone and delivery of spoken output to convey specific emotional states. ([source](https://openbmb.github.io/minicpm-o-4_5/))

### Data & Databases

- [Stream Processing Systems](https://awesome-repositories.com/f/data-databases/data-processing-pipelines/stream-processing-systems.md) — Utilizes concurrent input and output buffers to enable full-duplex, real-time conversational stream processing.
- [Visual Token Compression](https://awesome-repositories.com/f/data-databases/data-compression-algorithms/visual-token-compression.md) — Implements adaptive visual token compression to balance inference speed and accuracy on edge devices.

### Networking & Communication

- [Multimodal Conversational Interfaces](https://awesome-repositories.com/f/networking-communication/communication-platforms-services/communication-platforms/real-time-collaboration-suites/real-time-messaging/multimodal-conversational-interfaces.md) — Facilitates fluid, human-like conversations by processing live audio, video, and text streams simultaneously.

### Development Tools & Productivity

- [Dialogue Interaction Engines](https://awesome-repositories.com/f/development-tools-productivity/interactive-execution-interfaces/dialogue-interaction-engines.md) — Maintains persistent, situation-aware dialogue to act as an immersive companion during real-world activities. ([source](https://openbmb.github.io/minicpm-o-4_5-omni/))

### System Administration & Monitoring

- [Automated Alerting Workflows](https://awesome-repositories.com/f/system-administration-monitoring/monitoring-and-observability/observability-platforms/operational-health-alerting/automated-alerting-workflows.md) — Monitors visual environments to trigger proactive alerts and navigation notifications. ([source](https://openbmb.github.io/minicpm-o-4_5-omni/))