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  1. Oct 18, 2026 · Opinion / analysis · 1 source
    Agens Volundr 32B v1: we fixed what you flagged in the Preview. 0/50 loops, session continuation, and an MIT engine that runs it with 262K context (measured to 239K) within a 16 GB budget
    WHAT v1 FIXES FROM THE PREVIEW
  2. Oct 16, 2026 · Open-source release · 5 sources
    Welcome Beam: a 501B open model you can own, customize, and scale
    Beam is focused on coding and agentic use cases.
  3. Oct 14, 2026 · Opinion / analysis · 1 source
    qwen3.8-flash-next-iq3_s vs -27B-GGUF:UD-Q4_K_XL
    Run with evalscope over the OpenAI-compatible API: Qwen3.8-Next on Strata (MI50 32GB), Qwen3.8-27B on llama.cpp (RX 7900 XTX 24GB).
  4. Oct 10, 2026 · Research paper · 1 source
    Reward-Aligned Distillation
    We introduce Reward-Aligned Distillation (RAD), a bilevel framework that weights distillation signals based on their predicted effect on the student's post-update reward.
  5. Oct 8, 2026 · Research paper · 1 source
    SFT-as-Context Mitigates Forgetting in Supervised Fine-Tuning
    We introduce SFT-as-context, a training-free method in which the parent model uses the SFT model's response as context to answer the query.
  6. Oct 7, 2026 · Benchmark result · 1 source
    One Model Family, Two Gold-Level Results: Fine-Tuning Nemotron for IOI and IMO
    Starting from Nemotron 3, our teams used supervised fine-tuning (SFT), reinforcement learning (RL), and feedback-driven inference to create systems that reached gold-medal level at both IMO 2026 and IOI 2026.
  7. Oct 6, 2026 · Research paper · 1 source
    UP-MOPD: Update Projection in Multi-Teacher On-Policy Distillation
    To address this gap, we propose Update Projection for Multi-Teacher On-Policy Distillation (UP-MOPD).

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