AINewsnow

nvidia/Nemotron-3.5-Embed-1B-BF16 · Hugging Face

Nemotron-3.5-Embed-1B-BF16 is a versatile embedding model developed by NVIDIA for multimodal and multilingual question-answering retrieval. The model can embed a document page in the form of an image, text, or combined image–text input. Documents can be retrieved given a user query in text form. Th…

Read the full story at r/LocalLLaMA ↗

Timeline · 3 reports

  1. 2026-10-17 14:20 · r/LocalLLaMA
    nvidia/NVIDIA-Nemotron-Labs-Dory1.0-4B-BF16 · Hugging Face
  2. 2026-10-17 00:11 · r/LocalLLaMA
    nvidia/NVIDIA-Nemotron-Labs-Dory1.0-4B-BF16 · Hugging Face
  3. 2026-10-15 23:22 · r/LocalLLaMA
    nvidia/Nemotron-3.5-Embed-1B-BF16 · Hugging Face

More stories

  1. I built a GPT-2 KV cache from scratch: the tests that passed with a bug, and the memory numbers I got wrong — r/learnmachinelearning
  2. MossImage quants & SFT fix — r/StableDiffusion
  3. Repeat with me: guardrails protect what my agent says. What my agent does needs a check outside the model. — r/AI_Agents
  4. NVIDIA RTX Spark Laptops Launch Globally With Local AI Agent Support — NVIDIA Blog
  5. Hinton and Huang Clash Over AI Safety and Chip Sales — CNBC Technology
  6. Hugging Face details 2.8 trillion token Indic pretraining pipeline — Hugging Face Blog
  7. NVIDIA Nemotron 3.5 Super VL Powers Specialized Agents with Multimodal Reasoning — NVIDIA Technical Blog
  8. Hugging Face releases Beam, a 501B parameter open model — Hugging Face Blog

Get the daily brief of stories like this at 6:30 every morning →