llamaperf

Qwen3.8 27B

on NVIDIA RTX 3090 · llama.cpp · 100,000 ctx

Tone: positiveNVIDIA hardware
Aug 28, 2026
Quant
Q4_K_M (GGUF)
VRAM reported
24 GB

Use cases

codingagentic

Summary

User compares PI Agent and Opencode with Qwen3.8 27B on an RTX 3090. Setup is llama-server with the vision module offloaded to RAM. User reports PI Agent uses fewer tokens, has no 32k output limit, runs faster, does not freeze, and compresses context later at 90k versus 67k.