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Can I run Huihui-Qwen3.8-27B-abliterated-GGUF on an RTX 5090?

Yes, just

Its Q8_K_L file (27.3 GB) fits in the 28.8 GB an RTX 5090 can use, with room for ≈ 21K tokens of context.

Full analysis of Huihui-Qwen3.8-27B-abliterated-GGUF Everything that runs on RTX 5090 Get the Q8_K_L file on Hugging Face
ollama run hf.co/huihui-ai/Huihui-Qwen3.8-27B-abliterated-GGUF:Q8_K_L

Files and context on RTX 5090

Each file of Huihui-Qwen3.8-27B-abliterated-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 RTX 5090 Context (16-bit)Context (8-bit)
BF1654.7 GBDoesn't fit——
Huihui-Qwen3.8-27B-abliterated-bf1654.7 GBDoesn't fit——
F1653.8 GBDoesn't fit——
Huihui-Qwen3.8-27B-abliterated-Q8_0_L38.8 GBDoesn't fit——
UD-Q8_K_XL31.5 GBDoesn't fit——
Q8_029.0 GBDoesn't fit——
Q8_K_L27.3 GBTight21K42K
Q6_K_L24.9 GBTight55K110K
UD-Q6_K_XL24.8 GBTight57K114K
Huihui-Qwen3.8-27B-abliterated-UD-DW-Q6_K_L23.9 GBTight70K140K
Q5_K_L22.9 GBFits86K172K
Q6_K22.4 GBFits93K185K
Q4_K_L20.9 GBFits115K230K
UD-Q5_K_XL20.7 GBFits119K238K
Q5_K19.5 GBFits136K256K
Q3_K_L18.7 GBFits148K256K
UD-Q4_K_XL17.4 GBFits168K256K
Q2_K_L17.2 GBFits170K256K
Q4_K16.8 GBFits176K256K
Q4_K_M16.6 GBFits180K256K
Q4_K_S15.6 GBFits194K256K
UD-IQ4_XS14.4 GBFits212K256K
Q3_K13.5 GBFits226K256K
UD-Q3_K_XL13.3 GBFits228K256K
Huihui-Qwen3.8-27B-abliterated-UD-DW-IQ3_S12.3 GBFits243K256K
Huihui-Qwen3.8-27B-abliterated-Swift-1.5-GSQ-RCO-IQ3_S-mtp12.1 GBFits246K256K
IQ3_S12.1 GBFits246K256K
UD-IQ3_S12.0 GBFits249K256K
Huihui-Qwen3.8-27B-abliterated-Swift-1.5-GSQ-RCO-IQ3_S11.8 GBFits251K256K
Huihui-Qwen3.8-27B-abliterated-GSQ-RCO-IQ3_S11.8 GBFits251K256K
Huihui-Qwen3.8-27B-abliterated-UD-DW-IQ3_XXS11.4 GBFits256K256K
UD-IQ3_XXS11.0 GBFits256K256K
Q2_K10.9 GBFits256K256K
Huihui-Qwen3.8-27B-abliterated-Swift-1.5-GSQ-RCO-IQ3_XXS-mtp10.4 GBFits256K256K
IQ3_XXS10.4 GBFits256K256K
Huihui-Qwen3.8-27B-abliterated-Swift-1.5-GSQ-RCO-IQ3_XXS10.1 GBFits256K256K
Huihui-Qwen3.8-27B-abliterated-GSQ-RCO-IQ3_XXS10.1 GBFits256K256K
UD-Q2_K_XL10.0 GBFits256K256K
IQ2_S9.61 GBFits256K256K
Huihui-Qwen3.8-27B-abliterated-Swift-1.5-GSQ-RCO-IQ2_S9.26 GBFits256K256K
UD-IQ2_S8.78 GBFits256K256K
IQ2_XS8.76 GBFits256K256K
Huihui-Qwen3.8-27B-abliterated-UD-IQ2_S8.42 GBFits256K256K
Huihui-Qwen3.8-27B-abliterated-Swift-1.5-GSQ-RCO-IQ2_XS8.42 GBFits256K256K
Huihui-Qwen3.8-27B-abliterated-Underdog-Saluki-Swift-1.5-IQ2-mtp8.25 GBFits256K256K
Huihui-Qwen3.8-27B-abliterated-Underdog-Saluki-Swift-1.5-IQ27.90 GBFits256K256K
Huihui-Qwen3.8-27B-abliterated-Ternary-Bonsai-PQ2_07.70 GBFits256K256K
Huihui-Qwen3.8-27B-abliterated-Ternary-Bonsai-PTQ1_06.61 GBFits256K256K

Huihui-Qwen3.8-27B-abliterated-GGUF on other hardware

Popular models that run on RTX 5090

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.