Can I run Huihui-Qwen3.8-Flash-Next-abliterated-v2-GGUF on an NVIDIA B200?
Yes, just
Its UD-Q5_K_XL file (158 GB) fits in the 162 GB an NVIDIA B200 can use, with room for ≈ 143K tokens of context.
Full analysis of Huihui-Qwen3.8-Flash-Next-abliterated-v2-GGUF
Everything that runs on NVIDIA B200
Get the UD-Q5_K_XL file on Hugging Face
llama-server -hf huihui-ai/Huihui-Qwen3.8-Flash-Next-abliterated-v2-GGUF:UD-Q5_K_XLFiles and context on NVIDIA B200
Each file of Huihui-Qwen3.8-Flash-Next-abliterated-v2-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 B200 | Context (16-bit) | Context (8-bit) |
|---|---|---|---|---|
| UD-Q4_K_XL | 223 GB | Doesn't fit | — | — |
| Q8_0 | 188 GB | Doesn't fit | — | — |
| UD-Q6_K_XL | 169 GB | Doesn't fit | — | — |
| UD-Q5_K_XL | 158 GB | Tight | 143K | 256K |
| UD-IQ4_XS | 93.7 GB | Fits | 256K | 256K |
| IQ3_S | 83.7 GB | Fits | 256K | 256K |
| IQ3_XXS | 76.0 GB | Fits | 256K | 256K |
| IQ2_XS | 68.2 GB | Fits | 256K | 256K |