Models & Labs
Kimi K2.7 Code Now Available in GitHub Copilot
GitHub Changeloghigh confidence
Why it matters
- →Provides developers with more choice in selecting AI models for coding workflows.
- →Offers a potentially lower-cost option compared to existing models.
- →Expands the flexibility and accessibility of GitHub Copilot for various user plans.
GitHub has made the Kimi K2.7 Code model generally available in GitHub Copilot, marking the first open-weight model option in the platform's model picker. Hosted on Microsoft Azure, this model is available under usage-based billing and is initially rolling out to Copilot Pro, Pro+, and Max plans. Users can select the model in Visual Studio Code and other platforms, with plans to expand to Copilot Business and Enterprise. This development offers developers more choice and potentially lower costs in their coding workflows.
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llama.cpp b10955 release addresses heap corruption
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llama.cpp b10956 release enhances SYCL backend
The latest llama.cpp release, b10956, introduces significant improvements to the SYCL backend, particularly for handling large k values in TOP_K operations. By implementing a radix select method, the update allows for efficient GPU-resident processing, avoiding previous limitations that forced operations to fall back to the CPU. This change enhances performance, especially in scenarios requiring large k values, such as qwen4exp's sparse-attention indexer. The update ensures that operations are more efficient and scalable, providing a notable boost in processing speed without regressing any measured shapes.
