Can I run Xing4.0-29B-A4B-GGUF on an NVIDIA H100?

Yes

Its IQ4_NL file (20.1 GB) fits in the 72.0 GB an NVIDIA H100 can use, with room for ≈ 256K tokens of context.

Full analysis of Xing4.0-29B-A4B-GGUF Everything that runs on NVIDIA H100 Get the IQ4_NL file on Hugging Face

ollama run hf.co/XingChen-AGI/Xing4.0-29B-A4B-GGUF:IQ4_NL

Files and context on NVIDIA H100

Each file of Xing4.0-29B-A4B-GGUF (and of GGUF versions the site has analyzed), and how much context fits next to it, with the context cache in 16-bit or 8-bit.

File	Size	On NVIDIA H100	Context (16-bit)	Context (8-bit)
IQ4_NL	20.1 GB	Fits	256K	256K

Xing4.0-29B-A4B-GGUF on other hardware

NVIDIA H100Yes
RTX 5090Yes
RTX 4090Yes, just
RTX 3090Yes, just
RTX 5060 Ti 16 GBNo
RTX 3060 12 GBNo
RTX 4060No
Mac with 32 GBYes, just
Mac with 64 GBYes
Mac with 128 GBYes

Popular models that run on NVIDIA H100

Qwen3-0.6BQwen · 752M
Qwen3-VL-8B-InstructQwen · 8.77B
gpt2openai-community · 137M
tiny-Qwen2ForCausalLM-2.5trl-internal-testing · 2.44M
Qwen3-8BQwen · 8.19B
Qwen3-Coder-30B-A3B-Instruct-GGUFunsloth · 30.5B
gemma-4-26B-A4B-itgoogle · 25.8B
Qwen3.6-35B-A3B-FP8Qwen · 36.0B

Assumes 90% of the card's memory is usable and at least 4K tokens of context for one conversation, with the context cache in 16-bit unless noted. Fits leaves at least 20% of that memory for context; Tight leaves less.