#llama-cpp
5 articles exploring llama-cpp. Expert insights and analysis from our editorial team.
Articles
Off Grid v0.0.88 Ships Hexagon HTP Acceleration: Auditability Is the Real Edge Over Apple Intelligence
Off Grid v0.0.88 ships Hexagon HTP/NPU text acceleration with a self-reported 3× speed gain. Auditability of the MIT source is its genuine advantage over Apple Intelligence.
LiteRT-LM v0.10.1 Ships Gemma 4 MTP Heads That llama.cpp Can't Access
LiteRT-LM v0.10.1 ships Gemma 4 with Qualcomm NPU acceleration, but Google stripped MTP heads from public weights, locking peak Gemma 4 throughput to its own runtime.
MLX vs llama.cpp on Apple Silicon: Which Runtime to Use for Local LLM Inference
MLX delivers 20-87% faster generation on Apple Silicon for models under 14B parameters. llama.cpp wins for cross-platform use and long contexts.
GGML Joins Hugging Face: What It Means for Local AI
Hugging Face acquired ggml-org, the team behind llama.cpp, on February 20, 2026. This strategic move ensures the long-term sustainability of the world's most popular local AI inference framework while accelerating its integration with the broader ML ecosystem.
The Complete Guide to Local LLMs in 2026
Why [running AI on your own hardware](/articles/vllm-block-level-preemption-and-flexkv-shift-the-long-context-bottleneck-from/) is becoming the default choice for privacy-conscious developers and enterprises alike