Tagged "multimodal-inference"
9 articles tagged multimodal-inference, 3 March 2026 to 3 October 2026. Newest first.
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llama.cpp Adds Support for Decision Models
llama.cpp now supports Cloudflare's Clef decision models, expanding local inference capabilities to include multimodal decision-making tasks alongside traditional language generation.
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Ollama v0.35.1 Brings Clef Decision Model Support
Ollama 0.35.1 adds native support for Cloudflare's Clef and Clef Flash decision models through the /v1/systemone API, enabling multimodal local inference for decision-making workloads.
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Bringing Vision Capabilities to Local LLMs With Simple Python Implementation
Developer adds vision capabilities to a local LLM with a few hundred lines of Python, enabling practical multimodal inference on consumer hardware without cloud dependencies.
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Liquid AI Releases LFM2.5-VL-3B: Compact Vision-Language Model for Edge Inference
Liquid AI unveiled LFM2.5-VL-3B, a 3 billion parameter vision-language model designed for on-device deployment with capabilities for screen reading, object grounding, and tool calling without server dependencies.
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Muse Glimmer Now Available on Ollama – Meta's Open Multimodal Agent Model
Meta's Muse Glimmer, an open-source multimodal model optimized for local deployment, is now available across all Ollama platforms with state-of-the-art performance on Apple Silicon. The model powers coding agents and long-running personal assistants while maintaining full local inference control.
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Transcribe.cpp – ggml speech-to-text inference engine
A new GGML-based speech-to-text inference engine enabling local, on-device transcription without cloud dependencies. This tool extends the ggml ecosystem to multimodal local inference capabilities.
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Audio Processing Support Lands in llama.cpp with Gemma-4
llama.cpp now supports speech-to-text functionality with Gemma-4 E2A and E4A models, enabling local multimodal inference on consumer hardware. This expansion brings audio capabilities to the most widely-used local LLM inference engine.
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Real-time Multimodal AI on Apple Silicon: Gemma E2B Demo Shows Practical Edge Deployment
A working demonstration of real-time audio/video-to-voice inference using Gemma E2B on Apple M3 Pro hardware showcases the feasibility of running multimodal models locally on consumer devices.
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Qwen 3.5 0.8B Running in Browser with WebGPU via Transformers.js
A practical demonstration of running Qwen 3.5's smallest 0.8B multimodal model directly in the browser using WebGPU and Transformers.js, eliminating backend requirements for inference.