Open Source

Unsloth has released optimized GGUF quantizations of DeepSeek-V4-Flash, a 284B parameter Mixture-of-Experts model that activates 13B parameters and supports 1 million token context windows. The Q8 quantization (UD-Q8_K_XL) runs at 162GB with claimed lossless precision, only 7GB larger than the Q4 variant.

Tencent has released Hy3, a 295-billion parameter Mixture-of-Experts model with 21 billion active parameters and 3.8 billion MTP layer parameters. The model features a 256K context window and is released under Apache 2.0 license, with pricing not yet disclosed.

Microsoft released ASSERT (Adaptive Spec-driven Scoring for Evaluation and Regression Testing), an open-source framework that converts natural language descriptions of expected AI behavior into structured test cases. The tool addresses a gap in AI evaluation by testing application-specific behaviors that general benchmarks cannot capture.

GitHub has released the source code for its Copilot for Eclipse plugin under the MIT license. The move makes Copilot's Eclipse integration the first open-source IDE plugin for the AI coding assistant, with code now publicly available on GitHub.

IBM has released Granite Speech 4.1 2B, a 2-billion-parameter speech-language model trained on 174,000 hours of audio for automatic speech recognition and translation across English, French, German, Spanish, Portuguese, and Japanese. The model introduces a dual-head CTC encoder and includes variants for speaker attribution and a novel non-autoregressive architecture for higher throughput.

Alibaba Cloud has released Qwen3.6-35B-A3B, an open-weight sparse mixture-of-experts model with 35 billion total parameters but only 3 billion active parameters per token. The model features a 262K native context window (expandable to 1M tokens), multimodal input support, and integrated reasoning mode with preserved thinking traces.

Google released Gemma 4, an open-weights model family that runs directly on edge devices with multi-step planning and autonomous workflow capabilities. The Apache 2.0 licensed model bypasses traditional cloud security controls by executing entirely on local hardware, creating a governance blind spot for enterprise security teams.