I test Unsloth GGUFs of Qwen3.8 27B (Q4_K_M, UD-Q2_K_XL, UD-IQ1_S) with llama.cpp on GPQA Diamond, IFBench, Terminal-Bench 2.1. Q4_K_M matches BF16 abd fits an RTX 4090.
Thanks. I did get it working on the 3090 alone with reduced context and KV cache quantized to 4 bits, but it was getting itself muddled up and going round in circles more. Once I got it up to the full 262K context and 8-bit KV cache, it seemed noticeably less confused and more useful, but it needed the extra 10GB for that.
Thanks. I did get it working on the 3090 alone with reduced context and KV cache quantized to 4 bits, but it was getting itself muddled up and going round in circles more. Once I got it up to the full 262K context and 8-bit KV cache, it seemed noticeably less confused and more useful, but it needed the extra 10GB for that.
Someone reported q5_1 having indistinguishable results from q8 for kV cache up to 130k IIRC. You could give it a try.