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

Yes

Its Q8_0 file (188 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 unsloth/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.

File	Size	On NVIDIA B300	Context (16-bit)	Context (8-bit)
BF16	354 GB	Doesn't fit	—	—
Q8_0	188 GB	Fits	256K	256K
UD-Q6_K_XL	169 GB	Fits	256K	256K
UD-Q5_K_XL	158 GB	Fits	256K	256K
UD-Q4_K_XL	111 GB	Fits	256K	256K
UD-IQ4_XS	93.7 GB	Fits	256K	256K
UD-Q3_K_XL	89.5 GB	Fits	256K	256K
UD-IQ3_XXS	83.6 GB	Fits	256K	256K
UD-Q2_K_XL	79.6 GB	Fits	256K	256K
UD-IQ2_XS	75.8 GB	Fits	256K	256K
Qwen3.8-Flash-Next-UD-Q2_0	70.5 GB	Fits	256K	256K
UD-IQ1_M	68.0 GB	Fits	256K	256K
UD-IQ1_S	66.4 GB	Fits	256K	256K

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.