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Tools2026-07-13 · source-backed
The July 11 pre-release adds Qwen3.5 and Qwen3.5-Next parser/renderer selection, an agent UI, and warnings for outdated agent models, following v0.31.2's flash attention on older 6.x NVIDIA GPUs (Ollama Releases).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 model runner toward a local agent host. Combined with KronQ-style 2-bit quantization, the local-agent story keeps getting more real. Not competitive with frontier yet, but the trajectory is clear.
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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...
The repo appeared August 24, opening the weights of a multimodal MoE that Qwen frames explicitly as an architecture preview, the same role Qwen3-Next played for Qwen3.5 (GitHub). The hybrid Gated DeltaNet plus Gated Attention design it previews already carried through the Qwen...
For about a year, "run your agent locally" meant accepting a model that couldn't reliably call a tool twice in a row. That excuse is gone. Meta Superintelligence Labs published Muse Glimmer today: a 29.6B dense causal transformer, 52 layers, 6,656 hidden dim, with a ~1.8B ViT-...
Cline released @cline/sdk on May 13, an open-source TypeScript agent runtime that powers their CLI, VS Code, and JetBrains extensions. Running claude-opus-4.7, Cline CLI scores 74.2% on Terminal-Bench 2.0. Claude Code on the same model: 69.4%. Same model. Different harness. Al...
Moonshot AI dropped Kimi K2.6 today and the numbers are hard to ignore. One trillion parameters total, 32 billion active per token across 384 experts, 256K context window, and native multimodal input. It scores 58.6 on SWE-Bench Pro versus GPT-5.4's 57.7 and Claude Opus 4.6's...
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...
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