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Local Ai Provisionally Supported

Llama.cpp releases b10054-b10064: OpenCL, Vulkan, SYCL updates and bug fixes

Multiple incremental releases of llama.cpp (b10054 through b10064) include OpenCL transpose optimization for Q4_K, Vulkan support for Q2_0 quantization, SYCL fix for row calculation, and a test fix to avoid NaNs. Other changes include a default CPU routine for BLAS hadamard mul_mat and documentation updates.

Source: GitHub — llama.cpp · 10 sources · 17 Jul 2026

Local Ai Provisionally Supported

Ollama v0.32.1 Improves Gemma 4 Tool Calling and Fixes MLX Cache Leak

Ollama released version 0.32.1 with improvements to Gemma 4 tool calling and multi-turn reasoning, including more reliable tool-response continuations. The update also fixes a recurrent MLX model cache leak that could increase memory use across requests and improves cache snapshot performance.

Source: GitHub — Ollama · 2 sources · 16 Jul 2026

Local Ai Provisionally Supported

Multiple llama.cpp patches improve SYCL, SME2, Vulkan, and fix bugs

Several patches were merged into llama.cpp, including SYCL optimization for Battlemage GPUs (b9995), a new SME2 f32 kernel for ARM (b9999), Vulkan/CPU f16 SET_ROWS support (b10004), and bug fixes for DeepseekV4 seq_rm (b10005), export-graph-ops segfault (b10001), and log flushing (b9996). These changes enhance performance and stability across backends.

Source: GitHub — llama.cpp · 28 sources · 14 Jul 2026

Local Ai Vendor-reported

cline/cline CLI v3.0.42 fixes Ollama native API routing

Version 3.0.42 of the cline/cline CLI fixes a bug in Ollama native API routing, restoring functionality for context window and timeout settings. The fix addresses a regression that broke these settings in the previous version.

Source: GitHub — Cline · 1 source · 16 Jul 2026

Local Ai Vendor-reported

cline/cline SDK v0.0.62 fixes Ollama routing and telemetry attachment

Version 0.0.62 of the cline/cline SDK fixes a bug in Ollama native API routing that restores functionality for context window and timeout settings. Additionally, telemetry data is no longer attached to hub tool contexts.

Source: GitHub — Cline · 1 source · 16 Jul 2026

Showing 5 published "Local Ai" stories. Stories are reviewed before publication. See methodology →

Community Signals

Unverified posts from social media. These are discovery leads, not evidence. They have not been reviewed and may be inaccurate.

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A social media post from the account intern_lm on platform X has been flagged for review. The post's URL and content are pending evaluation.

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Inkling reasons efficiently across text, image, and audio modalities. We are making the full weights available.

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Today, we’re announcing Bonsai 27B: the first 27B-class model to run on a phone. Bonsai 27B is the new multimodal flagship of the Bonsai family. Based on Qwen3.6 27B, it brings a new capability tier to local AI: multi-step reasoning, structured tool use, long-context workflows, and coherent agentic loops.

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Qwen3.8 is launching and going open-weight soon!🌐 With a massive 2.4T parameters, this model is continuously evolving. We believe it’s one of the most powerful model available today, compatible to leading frontier AI models , second only to Fable 5.

@Alibaba_Qwen (@Alibaba_Qwen) Open original →

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Chinese AI Models Seize OpenRouter’s Top Five as OpenAI and Google Vanish From the Top 10

u/etherd0t (u/etherd0t) Open original →

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As far as cost per intelligence goes, it seems the order is Sol high, Sol xhigh, Sol Medium, Luna Max, Luna xhigh. Low value per intelligence are Sol max and Luna high. debate ensues with users arguing the best setting for codex

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