Models & Labs
Kimi K3 Now Available on Ollama Cloud
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Why it matters
- →Expands access to advanced AI models
- →Reduces infrastructure costs for users
- →Supports the trend towards cloud-based AI solutions
The Kimi K3 model has been launched on the Ollama cloud platform, making it more widely available to users. This deployment allows developers and businesses to leverage Kimi K3's capabilities without the need for extensive local infrastructure. The move is part of a broader trend of cloud-based AI services, providing scalable and flexible access to advanced models.
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Anthropic Removes 80% of Claude Code Prompts
Anthropic has streamlined its Claude Code by removing 80% of internal prompts to improve model performance.
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Llama.cpp b10208 Release Enhances SYCL Performance
The latest b10208 release of llama.cpp introduces significant improvements in SYCL performance, particularly with the addition of oneMKL GEMM flash attention for XMX-accelerated prompt processing. This update addresses previous issues with interleaved destination layouts in the normalize kernel, ensuring more accurate attention outputs across models. By removing redundant stream waits and refining MKL FA dispatch gates, the release optimizes processing speeds, nearly doubling performance in some cases. These enhancements make llama.cpp a more robust and efficient tool for developers working with large language models.
llama.cpp Releases
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llama.cpp b10211 Release Expands Platform Support
The latest b10211 release of llama.cpp continues its trend of broadening platform compatibility, making it a versatile tool for developers across various systems. Notably, this update includes support for Ubuntu with ROCm 7.2, enhancing performance for AMD GPU users. Windows users benefit from the inclusion of CUDA 12 and 13 DLLs, ensuring compatibility with the latest NVIDIA technologies. While the release doesn't introduce new model architectures, it solidifies llama.cpp's position as a flexible inference runtime across diverse hardware configurations.