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Public story · 2026-03-17 · source-backed
NVIDIA's freshly released 4B entrant failed all custom agentic benchmarks where Qwen 3.5 4B Q8 passed every one. First head-to-head from GTC model releases. 142 upvotes on r/LocalLLaMA. Source
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PR #19378 landed in llama.cpp this week, and I think most people are underselling what it means. Backend-agnostic tensor parallelism via --split-mode tensor makes multi-GPU inference work across AMD, Intel, and Apple Silicon. Not just CUDA. Everything. For context: llama.cpp h...
3B active parameters, beats Qwen3.5-35B-A3B on AIME 2025 (92.4 vs 91.9), LiveCodeBench v6 (87.2 vs 74.6), and surpasses the larger Nemotron-3-Super-120B. Available on Ollama and HuggingFace under open license. Source
NVIDIA debuted the Nemotron 3 family for agentic AI. Nano (30B params, 3B active via MoE) delivers 78% HumanEval, native 1M-token context, and 4x higher throughput than Nemotron 2 via hybrid Mamba-Transformer architecture. Critical developer angle: NVIDIA open-sources NeMo Gym...
NVIDIA launched Nemotron 3 Super — a 120B total / 12B active parameter hybrid Mamba-Transformer MoE, open, designed specifically for multi-agent workloads, and delivering 5x higher throughput than Nemotron 2 at the same active parameter count (NVIDIA Newsroom). It ships with a...
Moonshot AI dropped Kimi K2.6 today and the numbers are hard to ignore. One trillion parameters total, 32 billion active per token across 384 experts, 256K context window, and native multimodal input. It scores 58.6 on SWE-Bench Pro versus GPT-5.4's 57.7 and Claude Opus 4.6's...
Ollama cut v0.34.0-rc1 on September 5 at 23:49 UTC, and the headline item changes the shape of the local-versus-hosted decision rather than the performance of either side: Ollama-hosted open models can be selected directly inside ChatGPT Desktop, with setup driven from the Oll...
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