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Can I run Qwen3.8-Flash-Next-GGUF on an NVIDIA B300?

Yes

Its Q8_0 file (163 GB) fits in the 259 GB an NVIDIA B300 can use, with room for ≈ 256K tokens of context.

Full analysis of Qwen3.8-Flash-Next-GGUF Everything that runs on NVIDIA B300 Get the Q8_0 file on Hugging Face
llama-server -hf ggml-org/Qwen3.8-Flash-Next-GGUF:Q8_0

Files and context on NVIDIA B300

Each file of Qwen3.8-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 B300 Context (16-bit)Context (8-bit)
Q8_0163 GBFits256K256K
IQ4_NL102 GBFits256K256K

Qwen3.8-Flash-Next-GGUF on other hardware

Popular models that run on NVIDIA B300

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.