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Can the NVIDIA GB10 (128 GB) run InternVL3.5 241B-A28B?

73 ptsGreat (A) · 73 of 100 points: Model quality 27.1/45, Memory fit 24.0/25, Speed 7.4/15, Memory use 15.0/15

Yes, with little memory to spare

Tight fit. At Q2_K it needs about 108 GB of 115 GB usable, with an estimated speed of 9.8 tok/s.

Best quant
Q2_K
Generation speed
9.8 tok/s
Prompt processing
797 tok/s
First token (1K prompt)
1.3 s
Largest safe context
40K

Download InternVL3.5 241B-A28B

Quantized files · GGUF

Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.

huggingface.co/mradermacher/InternVL3_5-241B-A28B-GGUF (opens in a new tab)

ollama run hf.co/mradermacher/InternVL3_5-241B-A28B-GGUF

Original weights · Hugging Face

Full-precision files from Shanghai AI Lab, for fine-tuning, vLLM, Transformers.

huggingface.co/OpenGVLab/InternVL3_5-241B-A28B (opens in a new tab)

No sign-in needed.

Links checked 6 hours ago against Hugging Face, Ollama and GitHub.

How the A grade is scored

Every result gets up to 100 points from four parts. The points decide the letter grade.

Model qualityEditorial quality tier of the model, scaled by the quantization or precision used.27.1 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.24.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.7.4 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.15.0 / 15
Total73.5 / 10073 ptsGreat (A) · 73 of 100 points: Model quality 27.1/45, Memory fit 24.0/25, Speed 7.4/15, Memory use 15.0/15

Grade scale: S 85+ · A 72+ · B 58+ · C 42+ · D 25+ · F under 25 points.

Every quantization on the NVIDIA GB10 (128 GB)

Quant Memory needed Available Speed Fit Grade · points Download
Q2_K 108 GB 115 GB 9.8 tok/s Tight fit 73 ptsGreat (A) · 73 of 100 points: Model quality 27.1/45, Memory fit 24.0/25, Speed 7.4/15, Memory use 15.0/15 GGUF files (opens in a new tab)
Q3_K_M 129 GB 115 GB — Won't run 9 ptsWon't run (F) · 9 of 100 points: Model quality 9.8/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 GGUF files (opens in a new tab)
Q4_K_M 158 GB 115 GB — Won't run 11 ptsWon't run (F) · 11 of 100 points: Model quality 11.0/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 GGUF files (opens in a new tab)
Q5_K_M 182 GB 115 GB — Won't run 11 ptsWon't run (F) · 11 of 100 points: Model quality 11.3/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 GGUF files (opens in a new tab)
Q6_K 209 GB 115 GB — Won't run 11 ptsWon't run (F) · 11 of 100 points: Model quality 11.5/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 GGUF files (opens in a new tab)
Q8_0 267 GB 115 GB — Won't run 11 ptsWon't run (F) · 11 of 100 points: Model quality 11.6/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 GGUF files (opens in a new tab)
F16 493 GB 115 GB — Won't run 11 ptsWon't run (F) · 11 of 100 points: Model quality 11.6/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 Original weights (opens in a new tab)

Memory figures assume 8K of context. Longer conversations or documents grow the KV cache.

Other hardware that runs it

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.