llama.cpp
Tool ● Covered in 11 stories + Follow
llama.cpp is a local inference runtime frequently referenced in recent coverage as the basis for running open-weight models and enabling tool- and long-context use on-device. The news items note updates and integration points including llama.cpp optimizations that improve local throughput on NVIDIA hardware, day-one support for models such as Meta’s Muse Glimmer, and DSpark-enabled speculative decoding support for Liquid AI checkpoints (with some speedups and latency reductions reported). Other coverage also describes cases where stock llama.cpp cannot load certain GGUF types, requiring a llama.cpp fork to run specific model variants.
Updated 19 September 2026
Latest developments
PrismML Releases Ternary Bonsai 2 27B: A 5.9 GB Apache 2.0 Model Retaining 98.2% of Qwen3.8 27B Performance
MarkTechPost · 4 days ago ·
30
Best Open-Source Agent Harnesses for Local LLMs in 2026
MarkTechPost · 4 days ago ·
42
OpenBMB Releases MiniCPM5-2B: A 2.52B Dense Model Averaging 53.9 Across 34 Benchmarks and Built to Run On Device
MarkTechPost · 2 weeks ago ·
14
Nous Research Adds One-Click Local Model Setup to Hermes Desktop
MarkTechPost · 2 weeks ago ·
32
Sparks Fly: NVIDIA Accelerates Local AI at IFA 2026
NVIDIA Blog · 2 weeks ago ·
33
Liquid AI Releases LFM2.5-DSpark Draft Models That Deliver Up to 3.18x Faster Decoding Without Changing Model Outputs
MarkTechPost · 1 month ago ·
37
Up to 3.2x Faster Inference with LFM2.5-DSpark
Hugging Face · 1 month ago ·
30
September 2026
Nvidia releases Personal AI Router (PAIR), an open-source tool that pools compatible idle PCs and Macs to run local AI inference and agent workloads Open source release
- Transformers now runs llama.cpp quants
- PrismML Releases Ternary Bonsai 2 27B: A 5.9 GB Apache 2.0 Model Retaining 98.2% of Qwen3.8 27B Performance
- Best Open-Source Agent Harnesses for Local LLMs in 2026
- OpenBMB Releases MiniCPM5-2B: A 2.52B Dense Model Averaging 53.9 Across 34 Benchmarks and Built to Run On Device
- Nous Research Adds One-Click Local Model Setup to Hermes Desktop
- Sparks Fly: NVIDIA Accelerates Local AI at IFA 2026
August 2026
Liquid AI released DSpark draft model checkpoints for three LFM2.5 models, enabling speculative decoding to speed up inference Model release
Meta released Muse Glimmer, an open-weights multimodal 30B model for local agentic and tool-using tasks under the Apache 2.0 license Open source release
Mistral AI releases Shieldstral, an open-source 3B-parameter multimodal safety classifier with policy-adaptive content moderation Open source release
- Liquid AI Releases LFM2.5-DSpark Draft Models That Deliver Up to 3.18x Faster Decoding Without Changing Model Outputs
- Up to 3.2x Faster Inference with LFM2.5-DSpark
- State of Open Models: Summer 2026 Observations
- Meta is back with Muse Glimmer: local, agentic, multimodal, and open source
- Mistral AI Releases Shieldstral 1.0 3B: An Open-Weights Policy-Adaptive Multimodal Safety Classifier Matching Models 7× Its Size
Relationships
Products & technology
- LFM2.5-DSpark integrated with this tool · 2 sources
- NVIDIA integrated with this tool · 1 source
- Meta integrated with this tool · 1 source
- Hermes Desktop integrated with this tool · 1 source
- MiniCPM5-2B integrated with this tool · 1 source
- PrismML integrated with this tool · 1 source