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Llama is Meta's family of open-weight large language models. shipfeed tracks every Llama release, new generation, weight drop, and the ecosystem of fine-tunes built on it.
IBM launched Red Hat AI Inference on IBM Cloud for real-time AI inferencing with models like Granite 4.0 and Llama 3.3, and Red Hat OpenShift Virtualization Service, both GA on May 22, 2026.
AMD is buying Canadian startup Taalas, which hard-codes model weights directly into inference chips. That makes them extremely fast but locks each chip to a single model. A demo chip hit over 16,000 tokens per second…
NVIDIA researchers introduced X-Token, a projection-guided cross-tokenizer knowledge distillation method that improves performance on smaller models like Llama-3.2-1B.
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…