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Models2026-07-12 · source-backed
The July 6 release delivers nearly 90% faster Gemma 4 token generation through multi-token prediction with automatic draft-length tuning, on by default, output-preserving, no config (Ollama). It also adds MLX-engine support for more model families and flash attention for older NVIDIA GPUs. If you run local models on a Mac, update and take the throughput win. Ollama's still the #1 trending AI repo at ~176K stars.
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The July 11 pre-release adds Qwen3.5 and Qwen3.5-Next parser/renderer selection, an agent UI, and warnings for outdated agent models, following v0.31.2's flash attention on older 6.x NVIDIA GPUs (Ollama Releases). The agent UI is the signal: Ollama is moving beyond a local mod...
AlexsJones/llmfit released v1.1.10 today, adding RamaLama runtime discovery to its MCP server, the Qwen3.8 model family and MiniMax M3 vision capability exposure (GitHub). It also merged 32 MLX benchmark results on an Apple M4 Pro, the project's first MLX entries, giving an ap...
Google released Gemma 4 on April 2 with four model variants: E2B, E4B, 26B MoE, and 31B Dense. The license change is the first thing worth noting. Every previous Gemma had restrictions that made lawyers nervous. Gemma 4 is Apache 2.0. Full stop. Use it in any product, any way...
Google released open-source Multi-Token Prediction (MTP) drafters for the Gemma 4 model family. The concept: pair a heavy target model (Gemma 4 31B) with a lightweight drafter that predicts several future tokens in parallel. The target model verifies the predictions in a singl...
youssofal/MTPLX implements native MTP speculative decoding on Apple Silicon with no external drafter, which removes both the draft model's memory overhead and the draft-target alignment tuning that makes speculative decoding awkward on memory-constrained Macs. 1,585 stars sinc...
Microsoft open-sourced Foundry-Local, and I think it's the most underrated release of the week. One SDK for chat and audio with automatic hardware acceleration (NPU > GPU > CPU), self-contained with no external dependencies, and the API surface is identical to Azure AI Foundry...
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