# Llama.cpp Tensor Acceleration v0.7.0 Release

> **Key Architectural Takeaway:** Overview llama.cpp v0.7.0 adds the LiliCorr speculative decoding technique and MTP for GLM5-Next, a new GPU cache for MoE experts kept in host memory ( --moe-cache-mib , up to ~2.2x decode speedup when experts are offloaded), and a large batch of new models: K2 Horizon (dense and MoVA), Prism Bonsai 2 27B, EmbeddingGemma-2 (text+vision+audio), the LiquidAI d1/d1-omni and vLLM decision 2/d3 decision models, pplx-decider, MiniCPM-V 4.7, Nemotron Super 3.5 VL / Nemotron Bolt and maion-coder.

**Published:** 2026-10-15T17:15:35+00:00 
**Source:** Llama.cpp Tensor Acceleration 
**Category:** ai-local-edge 
**Canonical URL:** https://fosswire.org/news/llamacpp-tensor-acceleration-v070-release.html 

## Executive Summary
Overview llama.cpp v0.7.0 adds the LiliCorr speculative decoding technique and MTP for GLM5-Next, a new GPU cache for MoE experts kept in host memory ( --moe-cache-mib , up to ~2.2x decode speedup when experts are offloaded), and a large batch of new models: K2 Horizon (dense and MoVA), Prism Bonsai 2 27B, EmbeddingGemma-2 (text+vision+audio), the LiquidAI d1/d1-omni and vLLM decision 2/d3 decision models, pplx-decider, MiniCPM-V 4.7, Nemotron Super 3.5 VL / Nemotron Bolt and maion-coder.

## Architectural & Systems Analysis
From an artificial intelligence architecture, model weights governance, and inference efficiency perspective:

- **Weights Accessibility & Sovereignty:** Evaluates whether weights are open for private self-hosting or locked behind centralized cloud APIs.
- **Quantization & Edge Performance:** Kernel optimizations (4-bit/8-bit GGUF, AWQ, EXL2) allow high tokens-per-second on consumer GPUs and Apple Silicon.
- **Reasoning & Architectural Scaling:** Scrutinizes mixture-of-experts (MoE), attention mechanisms, and fine-tuning datasets against open community benchmarks.

## Impact on the Open Ecosystem
Protects developers and enterprises from proprietary black-box entrapment, fostering auditable, sovereign AI infrastructure.