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Open weights: refreshed vision-language checkpoint adds longer context
An updated VLM release extends context length and improves OCR/grounding — community-quantized variants are already showing up within hours of release.
Open weights · Open weights · Models
New open-weight release: leaner MoE checkpoint lands on the Hub
A mixture-of-experts checkpoint just shipped with a notably smaller active-parameter count than its predecessor — aimed at cheaper self-hosted inference.
Open weights · Open weights · Models
Dataset spotlight: multilingual instruction-tuning corpora are climbing fast
Community-curated multilingual instruct datasets are seeing a spike in downloads this week — a good fit if your fine-tunes keep skewing English-only.
Datasets · Datasets
This week's trending models: small, fast, and instruction-tuned
The trending board is dominated by compact instruction-tuned models built for local/edge inference — smaller footprints without giving up much on reasoning benchmarks. Worth a look if you're optimizing for cost per token.
Models · Models · Open weights
Kimi K2.6 lands on Hugging Face with MIT-licensed MoE weights
Moonshot AI's Kimi K2.6 model card is live on the Hub, a 1T-parameter MoE model with a DeepSeek V3-style architecture and native text, image, and video input, released under a modified MIT license.
https://huggingface.co/moonshotai/Kimi-K2.6Models · huggingface · open-weights · moe
BitsMoE: spectral bit-allocation for MoE LLM quantization
New paper proposes an SVD-based spectral-energy-guided bit allocation scheme for quantizing Mixture-of-Experts LLMs, claiming a 12.3x faster quantization pass and 1.76x decoding speedup over GPTQ at 2-bit precision on Qwen3-30B-A3B.
https://arxiv.org/abs/2606.00079Papers · quantization · moe · paper
OpenAI reveals Jalapeño, its custom AI inference chip with Broadcom
OpenAI shared plans for Jalapeño, a custom inference chip built with Broadcom, joining Google, Apple, and SpaceX in reducing reliance on Nvidia for AI compute.
https://techcrunch.com/video/why-everyone-from-openai-to-spacex-is-building-their-own-chips-and-turning-up-the-heat-on-nvidia/AI News · ai-news · chips · hardware
Gemini Embedding 2 goes GA with native multimodal retrieval
Google's Gemini Embedding 2 is now generally available, mapping text, images, video, audio, and PDFs into one embedding space with Matryoshka Representation Learning for flexible 3072/1536/768-dim output.
https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-embedding-2-generally-available/Retrieval · embeddings · multimodal · google
LiveCodeBench v6 leaderboard: Qwen3.7 Max tops coding evals
The contamination-free LiveCodeBench v6 leaderboard now covers 53 evaluated models across code generation, self-repair, execution, and test-output prediction, with Qwen3.7 Max leading at a 0.916 score.
https://livecodebench.github.io/leaderboard.htmlBenchmarks · benchmarks · code-eval · leaderboard
GLM-5.2 beats GPT-5.5 on long-horizon coding benchmarks
Z.ai's open-weight GLM-5.2 outperforms GPT-5.5 on several long-horizon coding benchmarks at roughly 1/6th the cost, a good reminder to weigh cost-per-task alongside raw accuracy when designing eval harnesses.
https://venturebeat.com/technology/z-ais-open-weights-glm-5-2-beats-gpt-5-5-on-multiple-long-horizon-coding-benchmarks-for-1-6th-the-costEvals · benchmarks · evals · coding
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