17 stories · 7d·6 sources covering·30 active storylines
Updated Sat, 11 Jul 2026 CEST·17 new storylines this week·live
What this is
llama.cpp is an open-source C/C++ engine for running LLMs efficiently on local hardware. shipfeed tracks llama.cpp releases, new model support, and quantization and performance work.
Gemma 4 was launched by Google under an Apache 2.0 license, marking a significant open-model release focused on reasoning, agentic workflows, multimodality, and on-device use. It outperforms models 10x larger and has…
server: real-time reasoning interruption via control endpoint (#23971) server: real-time reasoning interruption via control endpoint Builds on the manual reasoning budget trigger from #23949. Adds a CONTROL task that…
Announced at GTC Taipei at COMPUTEX, NVIDIA OpenShell brings secure agents to Windows with 2x inference performance on llama.cpp — plus, Adobe rebuilds its apps with performance and memory enhancements, and Blender…
This version of Ollama will change the architecture to directly support llama.cpp instead of building on top of GGML, and allows for compatibility with GGUF file format. MLX is used to accelerate model inference on…
This version of Ollama will change the architecture to directly support llama.cpp instead of building on top of GGML, and allows for compatibility with GGUF file format. MLX is used to accelerate model inference on…
This version of Ollama will change the architecture to directly support llama.cpp instead of building on top of GGML, and allows for compatibility with GGUF file format. MLX is used to accelerate model inference on…
spec: support spec-draft-p-min in DFlash (#25246) spec: support spec-draft-p-min in DFlash dflash: add n_min guard dflash: guard both n_min and n_max macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (arm64…
Nimbus builds production AI systems — internal tools, customer agents, retrieval pipelines — combining humans and AI end-to-end. From scoped pilot to production in 4–8 weeks.
What's Changed feat(launch): show and auto-install Cline CLI by @hoyyeva in https://github.com/ollama/ollama/pull/16402 log template details to aid troubleshooting by @dhiltgen in…
This version of Ollama will change the architecture to directly support llama.cpp instead of building on top of GGML, and allows for compatibility with GGUF file format. MLX is used to accelerate model inference on…
This version of Ollama will change the architecture to directly support llama.cpp instead of building on top of GGML, and allows for compatibility with GGUF file format. MLX is used to accelerate model inference on…
This version of Ollama will change the architecture to directly support llama.cpp instead of building on top of GGML, and allows for compatibility with GGUF file format. MLX is used to accelerate model inference on…
This version of Ollama will change the architecture to directly support llama.cpp instead of building on top of GGML, and allows for compatibility with GGUF file format. MLX is used to accelerate model inference on…
This version of Ollama will change the architecture to directly support llama.cpp instead of building on top of GGML, and allows for compatibility with GGUF file format. MLX is used to accelerate model inference on…
This version of Ollama will change the architecture to directly support llama.cpp instead of building on top of GGML, and allows for compatibility with GGUF file format. MLX is used to accelerate model inference on…
This version of Ollama will change the architecture to directly support llama.cpp instead of building on top of GGML, and allows for compatibility with GGUF file format. MLX is used to accelerate model inference on…
ggml : process data in smaller chunks in CUDA ggml_top_k() and ggml_argsort() to reduce temporary buffers memory usage (#24776) ggml : process data in smaller chunks in CUDA ggml_top_k() implementation to reduce…
cuda : concat implementation for quantized types (#25303) cuda : concat implementation for quantized types chore : apply am17an clever suggestion to shorten the code --------- Co-authored-by: Stanisław Szymczyk…
Nimbus builds production AI systems — internal tools, customer agents, retrieval pipelines — combining humans and AI end-to-end. From scoped pilot to production in 4–8 weeks.
What's Changed feat(launch): show and auto-install Cline CLI by @hoyyeva in https://github.com/ollama/ollama/pull/16402 log template details to aid troubleshooting by @dhiltgen in…
model : support granite multilingual embeddings R2 (ibm-granite/granite-embedding-{97,311}m-multilingual-r2) (#22716) Add support for the ibm-granite/granite-embedding-{97m,311m}-multilingual-r2 embedding models: Added…
llama: limit max outputs of `llama_context` (#23861) llama: save more VRAM by reserving n_outputs == n_seqs when possible add n_outputs_per_seq move n_outputs_max to server-context change ubatch to batch everywhere…