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Can I run Huihui-Qwen3.8-27B-abliterated-GGUF on an RTX 5060?

Yes, just

Its Huihui-Qwen3.8-27B-abliterated-Ternary-Bonsai-PTQ1_0 file (6.61 GB) fits in the 7.20 GB an RTX 5060 can use, with room for ≈ 7K tokens of context.

Full analysis of Huihui-Qwen3.8-27B-abliterated-GGUF Everything that runs on RTX 5060 Get the Huihui-Qwen3.8-27B-abliterated-Ternary-Bonsai-PTQ1_0 file on Hugging Face
ollama run hf.co/huihui-ai/Huihui-Qwen3.8-27B-abliterated-GGUF

Files and context on RTX 5060

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 5060 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 GBDoesn't fit——
Q6_K_L24.9 GBDoesn't fit——
UD-Q6_K_XL24.8 GBDoesn't fit——
Huihui-Qwen3.8-27B-abliterated-UD-DW-Q6_K_L23.9 GBDoesn't fit——
Q5_K_L22.9 GBDoesn't fit——
Q6_K22.4 GBDoesn't fit——
Q4_K_L20.9 GBDoesn't fit——
UD-Q5_K_XL20.7 GBDoesn't fit——
Q5_K19.5 GBDoesn't fit——
Q3_K_L18.7 GBDoesn't fit——
UD-Q4_K_XL17.4 GBDoesn't fit——
Q2_K_L17.2 GBDoesn't fit——
Q4_K16.8 GBDoesn't fit——
Q4_K_M16.6 GBDoesn't fit——
Q4_K_S15.6 GBDoesn't fit——
UD-IQ4_XS14.4 GBDoesn't fit——
Q3_K13.5 GBDoesn't fit——
UD-Q3_K_XL13.3 GBDoesn't fit——
Huihui-Qwen3.8-27B-abliterated-UD-DW-IQ3_S12.3 GBDoesn't fit——
Huihui-Qwen3.8-27B-abliterated-Swift-1.5-GSQ-RCO-IQ3_S-mtp12.1 GBDoesn't fit——
IQ3_S12.1 GBDoesn't fit——
UD-IQ3_S12.0 GBDoesn't fit——
Huihui-Qwen3.8-27B-abliterated-Swift-1.5-GSQ-RCO-IQ3_S11.8 GBDoesn't fit——
Huihui-Qwen3.8-27B-abliterated-GSQ-RCO-IQ3_S11.8 GBDoesn't fit——
Huihui-Qwen3.8-27B-abliterated-UD-DW-IQ3_XXS11.4 GBDoesn't fit——
UD-IQ3_XXS11.0 GBDoesn't fit——
Q2_K10.9 GBDoesn't fit——
Huihui-Qwen3.8-27B-abliterated-Swift-1.5-GSQ-RCO-IQ3_XXS-mtp10.4 GBDoesn't fit——
IQ3_XXS10.4 GBDoesn't fit——
Huihui-Qwen3.8-27B-abliterated-Swift-1.5-GSQ-RCO-IQ3_XXS10.1 GBDoesn't fit——
Huihui-Qwen3.8-27B-abliterated-GSQ-RCO-IQ3_XXS10.1 GBDoesn't fit——
UD-Q2_K_XL10.0 GBDoesn't fit——
IQ2_S9.61 GBDoesn't fit——
Huihui-Qwen3.8-27B-abliterated-Swift-1.5-GSQ-RCO-IQ2_S9.26 GBDoesn't fit——
UD-IQ2_S8.78 GBDoesn't fit——
IQ2_XS8.76 GBDoesn't fit——
Huihui-Qwen3.8-27B-abliterated-UD-IQ2_S8.42 GBDoesn't fit——
Huihui-Qwen3.8-27B-abliterated-Swift-1.5-GSQ-RCO-IQ2_XS8.42 GBDoesn't fit——
Huihui-Qwen3.8-27B-abliterated-Underdog-Saluki-Swift-1.5-IQ2-mtp8.25 GBDoesn't fit——
Huihui-Qwen3.8-27B-abliterated-Underdog-Saluki-Swift-1.5-IQ27.90 GBDoesn't fit——
Huihui-Qwen3.8-27B-abliterated-Ternary-Bonsai-PQ2_07.70 GBDoesn't fit——
Huihui-Qwen3.8-27B-abliterated-Ternary-Bonsai-PTQ1_06.61 GBTight7K13K

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

Popular models that run on RTX 5060

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.