Model Anatomy See what's inside open-weight AI models

Can I run Signal-3.8-Flash-Next-GGUF on an NVIDIA H200?

Yes

Its Q4_K_XL file (101 GB) fits in the 127 GB an NVIDIA H200 can use, with room for ≈ 256K tokens of context.

Full analysis of Signal-3.8-Flash-Next-GGUF Everything that runs on NVIDIA H200 Get the Q4_K_XL file on Hugging Face
ollama run hf.co/agentionai/Signal-3.8-Flash-Next-GGUF:Q4_K_XL

Files and context on NVIDIA H200

Each file of Signal-3.8-Flash-Next-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.

FileSizeOn NVIDIA H200 Context (16-bit)Context (8-bit)
Q8_0188 GBDoesn't fit——
Q4_K_XL101 GBFits256K256K
IQ4_XS90.4 GBFits256K256K

Signal-3.8-Flash-Next-GGUF on other hardware

Popular models that run on NVIDIA H200

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.