Nemotron 3.5 Lightning 30B-A3B

31.6B total, 3B active · 256k context · openmdw-1.1 · released 2026-08-01

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What to run it on in the UK

Fully in memory at 128k context, priced at retailers today.

Something we price holds it fully in memory, but none reaches 15 tok/s, our bar for recommending it. The table below has the speeds.

All hardware that runs it

Everything we price, best value first. Two cards split the model by layers.

HardwareQuantFitsDecodePricetok/s per 1,000
Mac Studio M4 Max 128GBUD-Q6_K_XLfits51 tok/s––
Mac mini M4 Pro 64GBUD-Q6_K_XLfits26 tok/s––
Framework Desktop Ryzen AI Max+ 395 128GBUD-Q6_K_XLfits20 tok/s––
Mac Studio M3 Ultra 512GBUD-Q6_K_XLfits76 tok/s––
NVIDIA DGX Spark 128GBUD-Q6_K_XLfits24 tok/s––
GMKtec EVO-X2 Ryzen AI Max+ 395 128GBUD-Q6_K_XLfits20 tok/s––
Mac Studio M3 Ultra 256GBUD-Q6_K_XLfits76 tok/s––
Mac mini M4 Pro 48GBUD-Q6_K_XLfits26 tok/s––
Mac Studio M4 Max 64GBUD-Q6_K_XLfits51 tok/s––
Mac Studio M3 Ultra 96GBUD-Q6_K_XLfits76 tok/s––
NVIDIA RTX PRO 6000 BlackwellUD-Q6_K_XLfits160 tok/s––
ASUS Ascent GX10 128GBUD-Q6_K_XLfits24 tok/s––
Framework Desktop Ryzen AI Max+ 395 64GBUD-Q6_K_XLfits20 tok/s––
NVIDIA GeForce RTX 3090UD-Q6_K_XLoffload19 tok/s––
NVIDIA GeForce RTX 5090UD-Q6_K_XLoffload53 tok/s––
NVIDIA GeForce RTX 4090UD-Q6_K_XLoffload19 tok/s––
NVIDIA GeForce RTX 5070 TiUD-Q6_K_XLoffload12 tok/s––
NVIDIA GeForce RTX 5060 Ti 16GBUD-Q6_K_XLoffload12 tok/s––
AMD Radeon RX 7900 XTXUD-Q6_K_XLoffload19 tok/s––
NVIDIA GeForce RTX 3060 12GBUD-Q6_K_XLoffload10 tok/s––
AMD Radeon RX 9070 XTUD-Q6_K_XLoffload12 tok/s––
NVIDIA GeForce RTX 4060 Ti 16GBUD-Q6_K_XLoffload11 tok/s––
NVIDIA GeForce RTX 5080UD-Q6_K_XLoffload12 tok/s––
NVIDIA GeForce RTX 4070 Ti SuperUD-Q6_K_XLoffload12 tok/s––
NVIDIA GeForce RTX 5070UD-Q6_K_XLoffload10 tok/s––
AMD Radeon RX 9060 XT 16GBUD-Q6_K_XLoffload11 tok/s––
NVIDIA GeForce RTX 4070 SuperUD-Q6_K_XLoffload10 tok/s––
NVIDIA GeForce RTX 4080 SuperUD-Q6_K_XLoffload12 tok/s––
AMD Radeon AI PRO R9700UD-Q6_K_XLoffload31 tok/s––
AMD Radeon RX 7800 XTUD-Q6_K_XLoffload12 tok/s––
AMD Radeon RX 7900 XTUD-Q6_K_XLoffload14 tok/s––
Intel Arc B580UD-Q6_K_XLoffload9 tok/s––
NVIDIA GeForce RTX 3090 TiUD-Q6_K_XLoffload19 tok/s––
AMD Radeon RX 7600 XTUD-Q6_K_XLoffload11 tok/s––
NVIDIA GeForce RTX 3080 10GBUD-Q6_K_XLoffload10 tok/s––
Intel Arc Pro B60UD-Q6_K_XLoffload14 tok/s––
NVIDIA Tesla P40UD-Q6_K_XLoffload15 tok/s––
Intel Arc A770 16GBUD-Q6_K_XLoffload11 tok/s––

2 other cards and machines we price cannot hold it at this context.

Memory needed

Weights, KV cache and runtime buffers at each context length (KV cache at fp16).

QuantFile@8k@32k@64k@128k
UD-Q6_K_XLgguf32.6 GB33.4 GB33.7 GB34.1 GB34.8 GB
Q8_0gguf32.6 GB33.4 GB33.7 GB34.1 GB34.8 GB

Run it

Copy a command for the runtime you use.

  • UD-Q6_K_XL
    • Ollamaollama run hf.co/unsloth/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF:UD-Q6_K_XL
    • LM Studiolms get unsloth/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF@ud-q6_k_xl
    • llama.cppllama-server -hf unsloth/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF:UD-Q6_K_XL
  • Q8_0
    • Ollamaollama run hf.co/unsloth/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF:Q8_0
    • LM Studiolms get unsloth/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF@q8_0
    • llama.cppllama-server -hf unsloth/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF:Q8_0