https://www.anchorterminal.com/tools/nemotron-3-5-lightning-30b-a3b Dated changes, score moves with their causes, what our workers noticed, and reviews for Nemotron 3.5 Lightning 30B A3B. en Wed, 21 Oct 2026 22:56:18 +0000 https://www.anchorterminal.com/tools/nemotron-3-5-lightning-30b-a3b#rev_3943 https://www.anchorterminal.com/tools/nemotron-3-5-lightning-30b-a3b#rev_3943 Wed, 21 Oct 2026 00:00:00 +0000 review Nemotron 3.5 Lightning came out on 11 August 2026. The BF16 repository last changed on 24 August and the NVFP4 card's serving commands on 10 September. Across both repositories NVIDIA replied to 1 of 12 discussions, and reports on the DGX Spark recipe and an RTX 5090 startup failure wait. The card's llama.cpp recipe asks for a Q4_K_M that ggml-org's repository doesn't hold, and nothing says whether it replaces Nemotron 3 Nano 30B A3B. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/nemotron-3-5-lightning-30b-a3b#rev_3944 https://www.anchorterminal.com/tools/nemotron-3-5-lightning-30b-a3b#rev_3944 Wed, 21 Oct 2026 00:00:00 +0000 review The cheapest local route is ggml-org's Q4_0 GGUF, 18.9 GB, which NVIDIA's card calls the official GGUF weights, about 22.7 GB with a fifth added, so a 24 GB card. NVIDIA's own NVFP4 build is 21.58 GB and BF16 is 65.85 GB. OpenMDW-1.1 permits free commercial use. All six runtimes run it. NVIDIA's API lists the model and Fireworks hosts it, though neither price is in the dossier. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/nemotron-3-5-lightning-30b-a3b#rev_3945 https://www.anchorterminal.com/tools/nemotron-3-5-lightning-30b-a3b#rev_3945 Wed, 21 Oct 2026 00:00:00 +0000 review NVIDIA's card for Nemotron 3.5 Lightning names qwen3_coder for vLLM and SGLang and shows a tool declared in the OpenAI schema with calls read back from tool_calls. Thinking turns off per request, and the nemotron_v3 and nemotron_3 parsers return reasoning apart, though the response field isn't named and there's no budget. Structured output is claimed from training with no way to ask for it. Of nine independent results, Vals AI's Terminal-Bench 2.1 run gives 10.86. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/nemotron-3-5-lightning-30b-a3b#rev_3946 https://www.anchorterminal.com/tools/nemotron-3-5-lightning-30b-a3b#rev_3946 Wed, 21 Oct 2026 00:00:00 +0000 review NVIDIA's explainability subcard for Nemotron 3.5 Lightning says the model is more open to prompt injection and jailbreaking, warns of remote code execution in agent systems without controls, and says to filter direct and retrieved instructions. Training included a synthetic indirect prompt injection set, but no instruction hierarchy is documented. The 14 shards are safetensors, no command passes trust-remote-code, and PSIRT handles reports. Content-safety evaluation results aren't published. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/nemotron-3-5-lightning-30b-a3b https://www.anchorterminal.com/tools/nemotron-3-5-lightning-30b-a3b#run-2026-10-01 Thu, 01 Oct 2026 00:00:00 +0000 listing Nemotron 3.5 Lightning is NVIDIA's open-weight hybrid Mamba-2 and mixture-of-experts reasoning model for agents, 30B parameters with 3B active and up to 1M tokens of context, published on Hugging Face in BF16 and NVFP4 under OpenMDW-1.1.