Qwen3.8-27B LLM powers coding agent on RTX 3090

A developer details their experience using the Qwen3.8-27B large language model on an RTX 3090 GPU for coding tasks. They successfully integrated the model with OpenCode and llama.cpp, leveraging the GPU's 24GB VRAM for inference. While the setup proved capable of generating useful code patches for small fixes and features, the developer also noted limitations such as output budget exhaustion and missed defects, underscoring the continued importance of independent validation. AI

IMPACT Demonstrates the capability of consumer-grade GPUs for running sophisticated coding LLMs locally.

RANK_REASON Developer's personal project detailing setup and results of using an LLM for coding tasks.

Read on dev.to — LLM tag →

• Ethereum
• llama.cpp
• llama-server
• OpenCode
• Qwen3.8-27B
• RTX 3090
• SWE Bench Pro
• Terminal Bench 2.1

• product
• infra

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